Latency Measures of Pattern-Reversal VEP in Adults and Infants: Different Information from Transient P1 Response and Steady-State Phase

Size: px
Start display at page:

Download "Latency Measures of Pattern-Reversal VEP in Adults and Infants: Different Information from Transient P1 Response and Steady-State Phase"

Transcription

1 Visual Neurophysiology Latency Measures of Pattern-Reversal VEP in Adults and Infants: Different Information from Transient P1 Response and Steady-State Phase Jin Lee, 1 Deirdre Birtles, 1,2 John Wattam-Bell, 2 Janette Atkinson, 2 and Oliver Braddick 1 PURPOSE. Temporal properties such as the peak latency of pattern-reversal (PR) visual evoked potentials (VEPs) have been found to be a sensitive indicator of visual development. Latency can be assessed from the slope of a plot of phase against temporal frequency (TF) for steady state VEP measurements as well as from the transient P1 peak. This study aimed to discover whether the two methods provide different information regarding early visual development. METHODS. Developmental changes of the transient peak latency were tracked using low TFs of one to four reversals per second (r/s) and a spatial frequency (SF) of 0.24 cycles per degree (cpd) in comparison with latencies calculated from the phase versus TF gradient in the range of 1 to 19 r/s. PR-VEP responses were recorded from 81 adults and 137 infants (ages weeks). RESULTS. Values of the calculated and transient peak latencies were similar in adults, but the calculated latency was statistically longer than transient peak latency in younger infants. Moreover, while the transient peak latency asymptoted to an adult value of 104 ms at approximately 15 weeks of age, the calculated latency did not asymptote until after 30 weeks. CONCLUSIONS. In this study, the effectiveness of the phase-based method to calculate latency was confirmed. In infants, the rapid decrease of P1 latency may be due to the progressive maturation of conduction time in the afferent visual pathways, with the development of adult levels of phase-based calculated latency being due to the maturation of later cortical processing in infants. (Invest Ophthalmol Vis Sci. 2012;53: ) DOI: /iovs Visual evoked potentials (VEPs) are neural responses recorded from the surface of the scalp, synchronized with transitions in repeated presentations of a visual stimulus. Several studies have shown that peak latency is less variable than amplitude measures, both within and between subjects. 1 6 Peak latency is also a sensitive indicator of visual development, 6,7 which has been used for clinical evaluation of vision, and to study changes in attention, 8 binocularity, 9 acuity, 10,11 From the 1 Visual Development Unit, Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom; and 2 Visual Development Unit, Department of Psychology, University College London, London, United Kingdom. Supported by Research Grant G from the Medical Research Council, an award from the Leverhulme Foundation (OB), and a Thouron Fellowship (JL). Submitted for publication March 25, 2011; revised September 13 and December 11, 2011, and January 10, 2012; accepted January 12, Disclosure: J. Lee, None; D. Birtles, None; J. Wattam-Bell, None; J. Atkinson, None; O. Braddick, None Corresponding author: Jin Lee, Department of Experimental Psychology, University of Oxford, South Parks Road, Oxford OX1 3UD, UK; jin.lee@psy.ox.ac.uk. spatial frequency (SF) sensitivity, 12,13 and cortical aging. 14 Latency has also been used for clinical evaluation of vision. 15 Pattern or phase reversal (PR) stimulus presentation is commonly used to test responses to contrast changes. The stimulus is typically a checkerboard pattern or a sine or square wave in which the luminance of adjacent checks or stripes is periodically interchanged (180 phase change in a grating). 16 A typical response has a positive peak, P1 (typically approximately 100 ms in adults), and two negative deflections N1 and N2. P1 is reported to be generated in the occipital cortex, 17,18 and is dependent on stimulus luminance, contrast, 19 orientation, and spatial frequency. 20 Previous studies on infant visual development have reported that the P1 transient peak latency for large checks decreases from 260 ms at birth to adult-like values approaching 100 ms at approximately 4 months. 7,21,22 This rapid change may be attributed to various factors: retinal development, especially the cone photoreceptors 23 ; progressive myelination of the optic nerve and radiation 17,24 ; rapid cortical synaptogenesis; and maturation of synaptic transmission of the various parts of the visual pathways. 25 It should be noted that the PR stimulus generates responses at the retinal level from on and off responses in the ganglion cells. 26 PR-VEP is useful in demonstrating that contrast information has arrived at the cortex, but need not reflect any processing within the visual cortex. Most studies measuring latency have been based on the time needed to produce the first prominent positive peak in the waveform the transient peak latency. However, this may be a problematic measure in developmental studies, given that the shape, number, and latency of peaks vary with age. 14,21 To provide an alternative measure, the present study also measured latency indirectly. The phase of the steady state (SS)-VEP was analyzed at two or more different temporal frequencies (TFs), giving a phase versus TF plot, whose slope provides a calculated value of apparent latency. 10,26,27 Phase has been found to be a reliable measure between 1,14 and within subjects, 13 and is linearly related to peak latency 8,11 and to the stimulus TF. 14,21,26 However, because phase values cycle every 360, a measurement of 75 can also correspond to , and so on. 1,10,28 To unwrap the phase, some multiples of 360 must be subtracted from the subsequent phase, changing the slope and the calculated latency. Current literature offers no rigorous method for resolving this ambiguity. In previous studies multiples of 360 were subtracted to sort [phase] over the whole TF range, 29 and produce maximum orderliness, 15,19 or minimize the distance to the preceding point. 1 The criteria used in the present study are described in the Materials and Methods section. It should be noted that the gradient of phase with TF corresponds to the peak latency only if the temporal dynamics of the response can be modeled by a pure delay. 1 Unlike P1 (or any other individual peak), the phase measurements reflect the entire time course of the VEP response. Thus an early component such as P1 will primarily reflect the arrival time at the cortex of the barrage of impulses, depending on the latency of retinal events, the transmission time from retina to cortex, and perhaps the Investigative Ophthalmology & Visual Science, March 2012, Vol. 53, No Copyright 2012 The Association for Research in Vision and Ophthalmology, Inc.

2 IOVS, March 2012, Vol. 53, No. 3 Two Latency Measures of PR-VEP in Adults and Infants 1307 initial dynamics of the cortical activation by this barrage. The phase-based measure can be expected to have an additional contribution from preceding and subsequent components of cortical processing. Comparison of the two measures, particularly in development, should reveal any differences in the maturation between different levels of processing in the visual pathway. The present study investigates: the efficacy of the slope method to calculate a measure of VEP latency in adults and infants; the relation between calculated latency and P1 peak latency of the transient VEP; and the developmental courses of PR latency measures using both approaches. MATERIALS AND METHODS We used two types of VEP recordings: transient VEP and SS-VEP. In transient VEP, the brain s response returns to the resting state before the next stimulus, consequently producing a waveform with distinct VEP components. A TF of 2 Hz (4 reversals per second [r/s]) or lower is used, 30 allowing the brain s response to return to the resting state. Latency was determined from the P1 peak. In SS-VEP recording, the stimulus rapidly alternates at frequencies 4 r/s between two states. This generates a periodic neural response at the stimulus frequency and its harmonics, from which signal amplitude and phase at the stimulus frequency were computed using Fourier analysis. Participants Eighty-one adults were tested (median age, 21 years; range, years) with normal or corrected to normal vision. Healthy full-term infants born within 14 days of their due date were recruited. One hundred thirty-seven individual infants ( weeks) were tested (see Table 1). Twenty-five of these infants were tested at two different ages, six infants were tested at three ages, and five infants were tested at four different ages. The longitudinal data of the repeated sessions were analyzed separately from the cross-sectional analysis. The research adhered to the tenets of the Declaration of Helsinki. Informed consents were obtained from participants or the parents of infant participants after explaining the nature and possible consequences of the study. This research was approved by Oxford s Applied and Qualitative Research Ethics Committee. Stimulus The stimulus was a sine wave grating, with a spatial frequency (SF) of 0.24 cycles per degree (cpd) (comparable to 81 of arc checks), oriented at 45, and alternated with periodic 180 phase shifts (mean luminance 31 cd/m 2 contrast 0.93). To serve as a better comparison between pattern and orientation-vep in subsequent studies, a sine wave grating was chosen rather than a checkerboard pattern. The grating was generated using the Lua scripting language (ver. 5.1; available at running on a PC (Windows XP; Microsoft Corp, Seattle, WA), and presented on a 17 in CRT monitor ( pixels, viewable area mm [ ] at a 40 cm viewing distance) at 100 Hz frame rate. The display computer was coupled to a recording computer, PC (Windows XP). VEP Recording Transient VEP and SS-VEP. Three gold cup electrodes were used: one on the vertex, one 1 cm above the inion, and a ground electrode positioned high on the forehead, and signals recorded using a computerbased acquisition system (Espion; Diagnosys LLC, Cambridge, United Kingdom). Impedance was measured with an applied voltage at 1000 Hz and electrodes were adjusted until this was 10 k. Signals were amplified (20,000 ), band pass filtered between 0.5 and 30 Hz, and sampled at 1000 Hz. For each recording, 100 sweeps (two reversals per sweep) were averaged on the computer. Any sweeps containing signals 200 V in amplitude were automatically rejected from the signal averaging as artifacts. To minimize onset effects, recording began a few seconds after the stimuli appeared. The order of TF used in testing was randomized to minimize any systematic adaptation effects. In infants, a small noisy toy was shaken in front of the center of the computer screen to attract the infant s attention. Recording was temporarily interrupted when subjects became inattentive or looked away. Bandpass filtering potentially introduces phase changes in the recorded VEP signals. We empirically measured the phase response to an input signal and found that in the range r/s, the phase shift was always 5. At 1 r/s (a frequency used only with adult participants) the shift was 10. We verified that an adjustment to the phase values at this frequency did not make any significant change to the calculated latency values. A photocell measurement of the monitor revealed a systematic software delay of 45 ms between the stimulus event at the middle of the computer screen and the recording cycle. Latency values presented have been corrected to take this into account. Transient VEP. For adults, four TFs were tested: 1, 2, 3, and 4 r/s were analyzed. For infants, three TFs were tested: 2, 3, and 4 r/s. The recording time required for 1 r/s proved generally too long to obtain statistically reliable results within the attention span of the infant group. Because each recording contained two complete cycles, the total recording epoch is 2 seconds for 1 r/s, 1 second for 2 r/s, 0.5 second for 4 r/s, and so on. SS-VEP. For adults, SS-VEPs were recorded at each of the 12 different TFs: 1, 2, 3, 4, 6, 8, 9.6, 10.7, 12, 13.7, 16, and 19.2 r/s. For infants, SS-VEPs were recorded at each of the 7 different TFs: 2, 3, 4, 6, 8, 12, and 16 r/s. Fewer TFs were used due to infants attention span limiting available recording time. VEP Analysis The component of the response at the reversal frequency was extracted using Fourier analysis. The presence of a statistically significant response at a particular TF was tested using Moore s test for the distribution of vector data, which yields the Mann-Whitney U statistic. 31,32 This test determines the presence of a statistically significant response with a consistent phase across the run, as a whole, by taking the amplitude and phase measured at the reversal frequency within each sweep as a sample. The signal-noise ratio was calculated based on measurements of noise power in a band 1 Hz either side of the stimulus frequency. 33 Any runs with P 0.05 on the Mann-Whitney U test and/or a signal-noise ratio (SNR) 1.5 were discarded. Both transient and steady state latency measures were corrected for the 45 ms software delay. ANOVA (multivariate and repeated-measure [RM]) were then performed using statistical software (SPSS 14.0; IBM, New York, NY). All the following analyses were performed on infants with single visits only (one data point per child, unless indicated otherwise). Transient Peak Latency For the transient VEP latency, the time of the initial maximum positive peak was selected manually by placing a cursor on the most prominent positive peak for the low TF recordings (adults: 1, 2, 3, and 4 r/s; TABLE 1. Response Rate: Number of Adults and Infants in Each of the 10 Age Groups with Significant Responses in Transient, Calculated, and Both Transient and Calculated Latencies Age (wk) Tested Transient Calculated Transient and Calculated Infants total Adults total

3 1308 Lee et al. IOVS, March 2012, Vol. 53, No. 3 infants: 2, 3, and 4 r/s). Because each recording contained two complete cycles, two peaks were selected for each infant, and the average was used for subsequent analysis (see Fig. 1). Phase-Based Calculated Latency Phase values of the averaged signal components at the reversal frequency were measured, in the range 0 to 360. As discussed above, an infinite series of phase values 360 apart are compatible with such a measurement. To choose the appropriate phase value, the difference between phase values at two adjacent frequencies was calculated. If the difference was positive, multiple(s) of 360 were subtracted from the phase value of the higher frequency until it became negative. Another 360 was then subtracted from the phase value of the next higher frequency. 1,15 These unwrapped FIGURE 1. Examples of PR-VEP waveforms at 2 r/s (left) and 8 r/s (right) for the same individual with the same recording conditions for two complete cycles of (A) an adult with an average peak transient latency from the 2 r/s recording of 109 ms; (B) 20-week-old infant, the 2 r/s recording showed a peak at 112 ms; and (C) an 8-week-old infant, the 2 r/s recording showed a peak at 265 ms. Transient latency was selected manually by placing a cursor on the most prominent positive peak of the two averaged cycles.

4 IOVS, March 2012, Vol. 53, No. 3 Two Latency Measures of PR-VEP in Adults and Infants 1309 phase values were plotted as a function of TF, and a slope of the linear regression was calculated. Finally, the slope was converted into apparent latency using the formula: latency (ms) ( phase/ TF) 1000 ms/360, providing a single latency value for each individual subject. As many closely spaced TF values as possible were chosen for this study to minimize the risk of any data point being misplaced by (see Fig. 2). When the calculated latency derived from the whole slope was a potential outlier ( 3 SD) from the mean slope of the entire sample, a cycle of 360 was subtracted from the last phase point to get the best-fit linear regression based on the R 2 value. If the final calculated latency remained 3 standard deviations (SD) above the mean latency, the outlier was eliminated from the data pool. RESULTS Proportion of Participants Giving Significant VEP Responses Among the 81 adults tested, significant transient responses were obtained from 75 individuals (92.6%), calculated latencies were obtained from all 81 (100%), and data for both transient and calculated latencies were obtained for 71 individuals (87%). Among the 137 infants aged weeks, significant transient responses were obtained from 101 (73.7%), calculated latencies from 85 (62.0%), and data for both were obtained from 74 (54.0%) (Table 1). For the calculated latency analysis, 26 infants had significant VEP responses at only two different TFs. Three of the 81 adults and two of the 137 infants were eliminated from the analysis due to very high values for the calculated latencies ( 3 SD above the mean for the appropriate age). Transient versus Calculated Latencies Transient Peak Latency. VEP waveforms showed classical PR responses with prominent, easily identifiable P1 peaks (Fig. 1). Oneway ANOVA showed that the mean differences among the latency values for this peak at low TFs in adults were not significant (1, 2, 3, and 4 r/s; F (3,81) 2.2, P 0.1). In infants, a two-way ANOVA was performed with age treated as a between subject factor. The peak latency differences at low TFs in infants were not significant (2, 3, and 4 r/s; F (2,130) 2.0; P 0.1), nor were the interaction effects between age and TF (F (2,130) 0.7; P 0.1). Therefore, we used the combined average of the four TFs in each adult and of the three TFs in each infant as the subject s transient peak latency value. Latency of transient VEP is thus the combined average of four TFs in each adult and three TFs in each infant. Phase-Based Calculated Latency. In both adults and infants, the phase-based slope method proved effective in calculating an apparent latency value (Fig. 2). The absence of any clear split in the slope between the upper and lower part of the TF range 11,26 suggested that any difference between transient and calculated latencies was not simply due to the different TF ranges used. Although an increased number of TFs will enhance the accuracy of the calculated latency, a latency value can be derived from as few as two TFs. In infants, ANOVA (with age as a covariate) between the calculated latency derived where only two TFs were available versus more than two TFs indicated no significant difference between the two methods (F (1,112) 0.1; P 0.1) nor any significant interaction between age and method (F (1,112) 0.3, P 0.1). Given the consistency of those values with the data set as a whole, as shown in Figure 3A, we conclude that appropriate latency values can be achieved from as few as two TFs. Significant responses at the second harmonic were also observed in some instances at all TFs tested for both infants and adults. Adult versus Infant Latencies Adults. In adults, the range of transient peak latency SE ( ms; 95% confidence interval [CI], ) and calculated latency ( ms; 95% CI, ms) were similar to the range ( ms) found in the literature. 7,13,15,19 Similar to the findings of Tobimatsu et al., 13 no significant difference between the two latency methods was found, using RM-ANOVA (F (1,69) 0.4; P 0.1) (Fig. 4A). Infants. Compared with adults, the overall response waveform for young infants is prolonged (Fig. 1). In the latency of the first positive peak, we found similar age trends to other published studies, 6,7,10,11,19,21 with a steep decrease over the first few months of life (Figs. 3A and 3B). Longitudinal data from four infants who had four repeated sessions at different ages (Figs. 5A and 5B) showed a similar developmental trend to the overall cross-sectional data (Figs. 3A and 3B). The individual infants (without any repeated sessions) were divided into 10 age groups (Table 1). RM-ANOVA using all the age groups as a between-subjects factor confirmed a significant overall difference between the two latency methods (F (1,64) 4.5; P 0.04), and a significant interaction effect of method and age groups (F (9,64) 2.8; P 0.01). Both P1 and calculated latencies decreased with age, from mean latency of ap- FIGURE 2. Illustration of the slope method for an adult and two infants (4 and 15 weeks old). The adult was tested with 12 different TFs from 1 to 19.2 r/s (R , slope 57.0, latency ( 57.0) 1000/ ms; 45 ms is the correction for software delay). The infants were tested with 7 different TFs from 2 to 16 r/s. The 4-week-old had R , slope 101.6, latency ms. The 15-week-old had R , slope 54.9, latency ms.

5 1310 Lee et al. IOVS, March 2012, Vol. 53, No. 3 A 300 PR-VEP Latency Measures in Infants 250 P1 Adult- P1 Calculated- 2 pts Calculated Adult- Calculated P1 & Calculated Latency (ms) Adult 90 Infant Age (wks) // B 300 PR-VEP Latency Measures in Infants 250 P1 & Calculated Latency (ms) P1 Calculated Adult Age (wks) // FIGURE 3. P1 and calculated latencies of PR-VEP in infants as a function of (A) continuous age range (all infants; one test per child) and (B) 10 age groups (mean SE) (see Table 1). The transient ( ms) and calculated latency ( ms) values of adults are shown for comparison. proximately 215 ms at 3.6 weeks to 86 ms at 80 weeks of age. The interaction appears to reflect P1 latency decreasing initially at a faster rate. Post-hoc analysis (Games-Howell) indicated that the two latencies merged by 50 weeks (P 0.1) (Fig. 3B). Comparison between Adults and Infants. Calculated PR latency was found to be significantly longer than transient latency in infants but not in adults. Infant data showed overall higher variance than adults, especially in the infants phasebased calculated latency. Latencies were significantly longer for younger infants than for adults. Post hoc analysis (Games-Howell) revealed that the infant transient peak latency was significantly longer than adult values before 15 weeks of age (P 0.001). Infants phasebased calculated latency was significantly longer than adult values before 30 weeks of age (P 0.001) (Fig. 3B). As the latency of the transient VEP in infants is not significantly longer than in adults after 15 weeks of age, linear regression was fitted between latency and age over the age range from 3.6 to 14.4 weeks. This is in line with other published practices 7,11,19 (Fig. 6). The latency values showed a significant downward trend for both transient (r 0.8, F (1,23) 41.4; P 0.001; latency 11.6 age 261.8) and calculated latency (r 0.5; F (1,25) 7.9; P 0.01; latency 7.6 age 252.1). While the transient latency decreased at 11.6 ms per week, the calculated latency decreased at 7.6 ms per week for the first 15 weeks of life. DISCUSSION We obtained response latencies for PR-VEPs in both adults and infants using two methods: transient peak latency for the first positive peak in the waveform and phase-based calculated latency from relative phase measurements. The traditional P1 latency from transient VEP reflects the arrival time of the visual stimulus at the visual cortex from the eye. The elapsed time represents initial retinal processing of contrast; transmission through optic nerve, tract, and radiation; and sufficient activation of visual cortical cells in the feedforward pathway to generate postsynaptic currents for a largescale synchronization to be detected at the scalp. 34,35 While studies have found P1 to arise from area V1 and its surroundings, the precise area of origin of adult P1 within the occipital lobe is not fully resolved. 18,36 39 Similar to others, 8,10 12,15 our data could be well fitted with a single regression line. Some published data were fitted by different gradients in the low versus high TF ranges: in infants, 19 in older adults (mean age 72 years), 14 and in rats. 40 However, the

6 IOVS, March 2012, Vol. 53, No. 3 Two Latency Measures of PR-VEP in Adults and Infants 1311 Latency Development Similar to the findings of Moskowitz and Sokol (1983), 21 VEP morphology in our data develops from a single late positive peak at birth to an adult-like double peak-and-trough complex. While the transient latency asymptoted to the adult value at approximately 15 weeks, the calculated latency did not reach adult values until approximately 30 weeks. The progression of the transient latency merged with the calculated latency at approximately 50 weeks of age (Fig. 3B). While both transient and calculated methods yielded latency approaching 100 ms in adults, the calculated measure was significantly longer in comparison with the transient value in infants. Linear regression for the first 15 weeks showed that the calculated latency decreases at approximately 7.6 ms per week and transient peak latency decreases at approximately 11.6 ms per week. Changes in transient latency may be influenced by the concurrent synaptic maturation in retina, lateral geniculate nucleus (LGN), and occipital cortex, but the most widely cited factor is the progressive myelination of the visual pathways. 41,42 Dubois et al. 24 tested 15 infants ( weeks) with diffusion tensor imaging of cerebral white matter and VEP to face stimuli. They found that the P1 latency was significantly correlated with infants age and with structural changes in optic radiation, but not with the global maturation of white matter. Similarly, Friendly 43 suggested that the myelination of the LGN pathway was completed by 4 months, which is in accord with our results that adult P1 latency is reached by FIGURE 4. Scatter plot of transient peak latency versus calculated latency in (A) adults (n 71; R ) and (B) infants (n 74; R 2 0.4). The linear relationship primarily reflects the significant effect of age on both measurements. The 45 angle line shows equality of the latency measures (slope of one) so that for points above this line the calculated latency is greater than the measured P1 latency. discontinuities seemed to occur around 20 to 30 r/s, above the TF range ( r/s) used in this study. Moreover, careful examination revealed that some split slopes in the cited studies were so close that the full range could also be well fitted by a single regression line. This suggests that across the range 1 to 19 r/s, our measured VEPs are most likely to be driven by a similar population of neurons. FIGURE 5. Longitudinal data of (A) P1 and (B) calculated latency of PR-VEP from four infants (marked 1, 2, 3, and 4 in key) with four repeated sessions at different ages, resulted in 2 to 3 data points per individual infant.

7 1312 Lee et al. IOVS, March 2012, Vol. 53, No. 3 FIGURE 6. Linear regression for infants younger than 15 weeks of age showed that the transient latency decreases at approximately 11.6 ms per week (P 0.001), and the calculated latency decreases at approximately 7.6 ms per week (P 0.01). approximately 15 weeks of age. Others have shown continuation of myelin maturation for the first two years of life. 44,45 Because myelination varies among different fibers during development, 24,46 this variation will degrade phase coherence of neural transmission to the cortex, and would be expected to result in degraded amplitude and delayed latency in the VEP responses. The inhomogeneity of timing may contribute to the higher latency variance seen in the infant group. In addition to incomplete myelination, there are many ways in which visual cortical processing is immature during the first 4 to 6 months. 30 Burkhalter et al. 47 found that long-range horizontal cells within cortical layer 2/3 become adult-like at approximately 16 weeks; this may underlie some aspects of functional cortical development. We propose that immaturity of cortical processing, reflected in infants simpler VEP waveforms, is responsible for the additional developmental delays seen in the latency calculated from relative phase compared with transient peak latency. Factors Affecting Latency Latency of PR-VEP is affected by many physical and physiological variables. Conduction speed in the visual pathways is influenced by external factors such as temperature, and structural physiological factors such as myelin thickness, axon diameter, and length. 48 The latency values investigated in the present study may depend on some or all of the following physiological factors: sustained action potential reaching the scalp 37 ; large scale synchronization-temporally and spatially 38 ; feed-forward connections in response to the optimal visual stimuli 40,41 ; additional delay from neural feedback that includes horizontal connections, inhibition and recurrent loops 49 ; attention level of the participant 8,18 ; and maturation rate of the different classes of neurons that generate SS-VEP and transient VEP signals. 16 The differences seen between development of calculated and transient latencies in infants might reflect contributions from different classes of afferent neurons. However, it should be noted that the two measures were derived from overlapping TF ranges and so are unlikely to relate in any simple way to the magno/parvo or similar distinctions. Calculated latency may be more affected by attention than the transient latency. Attention to the spatial frequency of a stimulus has been shown to affect transient VEP components at 150 ms and beyond, but not at 100 ms or earlier Such attentional effects on later waveform components may contribute to the larger variance seen in the calculated latency. Our results show that calculating latency from relative phase in SS-VEP can yield usable results even with just two TFs. This is especially helpful for future studies on infants or patients where recording time is limited and sustained attention is poor. Development of latency to contrast changes is strongly dependent on the specific stimuli used. From studying 439 children ages 1 month to 5 years, Moskowitz & Sokol (1983) 21 found that P1 peak latency becomes adult-like by 1 year for large checks ( ), and beyond age 5 years for small checks (7.5 and 15 ). McCulloch and Skarf (1991) 22 found that infants peak latency lies within 1 SD of adult value by 4 to 5 months for 120 and 60 checks (consistent with our results) but is still not adult-like by 2 years for smaller checks (30, 15, and 7.5 ). The precise ending of the period of latency development is difficult to determine and is certainly stimulusdependent. It would be of interest to examine the calculated and peak latencies for high SF stimuli. Conclusions Our results showed that a single linear slope fitting a phase versus temporal frequency plot is an effective approach for calculating apparent latency in both adults and infants. This means that the method can be used in future studies to assess maturation of the visual pathway in infants with perinatal brain damage, and in addition, to gauge the success of early intervention in the first months of life. From the P1 peak latency comparisons, infants showed two types of functional changes in development that are reflected in the temporal properties of the PR-VEP. First, the dramatic reduction in the transient peak latency during the first 4 months of life can be attributed to the progressive development of conduction time in the afferent visual pathways and concurrent maturation of synaptic transmission within the visual pathway and cortex. The adult value is reached at approximately 15 weeks of age for low spatial frequencies. Second, the maturation of later cortical processing (including feedback loops, recurrent processing, and horizontal connections) that contribute to the overall VEP waveform, and hence to the latency calculated for relative phase, has a slower developmental rate. For this latter measure, the adult value is reached at approximately 30 weeks of age. Transient latency merged with the calculated latency at approximately 50 weeks of age. However, the similarity of calculated and transient latency in adults implies that in the mature system, the timing of the cortical response may be mostly dominated

8 IOVS, March 2012, Vol. 53, No. 3 Two Latency Measures of PR-VEP in Adults and Infants 1313 by transmission delays that determine the timing of the initial transient. Better understanding of the factors determining latency measures of the PR-VEP during development will help to interpret the relation between normative baselines and individuals results in future clinical evaluations. References 1. Strasburger H. The analysis of steady state evoked potentials revisited. Clin Vision Sci. 1987;1: Tomoda Y, Tobimatsu S, Mitsudome A. Visual evoked potentials in school children: a comparative study of transient and steady-state methods with pattern reversal and flash stimulation. Clin Neurophysiol. 1999;110: Lenassi E, Likar K, Stirn-Kranjc B, Brecelj J. VEP maturation and visual acuity in infants and preschool children. Doc Ophthalmol. 2008;117: Sarnthein J, Andersson M, Zimmermann MB, Zumsteg D. High test-retest reliability of checkerboard reversal visual evoked potentials (VEP) over 8 months. Clin Neurophysiol. 2009;120: Tello C, De Moraes CG, Prata TS, et al. Repeatability of shortduration transient visual evoked potentials in normal subjects. Doc Ophthalmol. 2010;120: Sokol S, Jones K. Implicit time of pattern evoked potentials in infants: an index of maturation of spatial vision. Vision Res. 1979; 19: McCulloch DL, Orbach H, Skarf B. Maturation of the patternreversal VEP in human infants: a theoretical framework. Vision Res. 1999;39: Di Russo F, Spinelli D. Electrophysiological evidence for an early attentional mechanism in visual processing in humans. Vision Res. 1999;39: Tobimatsu S, Kato M. The effect of binocular stimulation on each component of transient and steady-state VEPs. Electroencephalogr Clin Neurophysiol. 1996;100: Porciatti V. Temporal and spatial properties of the pattern-reversal VEP in infants below 2 months of age. Hum Neurobiol. 1984;3: Fiorentini A, Trimarchi C. Development of temporal properties of pattern electroretinogram and visual evoked potentials in infants. Vision Res. 1991;32: Simon F. The phase of PVEP in Maxwellian view, influence of contrast, spatial and temporal frequency. Vision Res. 1992;32: Tobimatsu S, Kurita-Tashima S, Nakayama-Hiromatsu M, Kato M. Effect of spatial frequency on transient and steady-state VEPs: stimulation with checkerboard, square-wave grating and sinusoidal grating patterns. J Neurol Sci. 1993;118: Porciatti V, Burr DC, Morrone MC, Fiorentini A. The effects of ageing on the pattern electroretinogram and visual evoked potential in humans. Vision Res. 1992;32: Tobimatsu S, Tashima-Kurita S, Nakayama-Hiromatsu M, Kato M. Clinical relevance of phase of steady-state VEPs to P1 latency of transient VEPs. Electroencephalogr Clin Neurophysiol. 1991;80: Regan D. Human Brian Electrophysiology: Evoked Potentials and Evoked Magnetic Fields in Science and Medicine. New York: Elsevier; Magoon EH, Robb RM. Development of myelin in human optic nerve and tract. Arch Ophthalmol. 1981;99: Di Russo F, Martínez A, Sereno MI, Pitzalis S, Hillyard SA. Cortical sources of the early components of the visual evoked potentials. Hum Brain Mapp. 2002;15: Morrone MC, Fiorentini A, Burr DC. Development of the temporal properties of visual evoked potentials to luminance and colour contrast in infants. Vision Res. 1996;36: Kenemans JL, Baas JM, Mangun GR, Lijffjt M, Verbaten MN. On the processing of spatial frequencies as revealed by evoked-potential source modeling. Clin Neurophysiol. 2000;111: Moskowitz A, Sokol S. Developmental changes in the human visual system as reflected by the latency of the pattern reversal VEP. Electroencephalogr Clin Neurophysiol. 1983;56: McCulloch DL, Skarf B. Development of the human visual system, monocular and binocular pattern VEP latency. Invest Ophthalmol Vis Sci. 1991;32: Yuodelis C, Hendrickson A. A qualitative and quantitative analysis of the human fovea during development. Vis Res. 1986;26: Dubois J, Dehaene-Lambertz G, Soarès C, Cointepas Y, Le Bihan D, Hertz-Pannier L. Microstructural correlates of infant functional development, example of the visual pathway. J Neurosci. 2008; 28: Huttenlocher PR, de Courten C, Garey LJ, Van der Loos H. Synaptogenesis in human visual cortex- evidence for synapse elimination during normal development. Neurosci Lett. 1982;33: Regan D. Some characteristics of average steady-state and transient responses evoked by modulated light. Electroencephalogr Clin Neurophysiol. 1966;20: Spekreijse H. Maturation of contrast EPs and development of visual resolution. Arch Ital Biol. 1978;116: Strasburger H, Scheidler W, Rentschler I. Amplitude and phase characteristics of the steady-state visual evoked potential. Appl Opt. 1984;27: Falsini B, Porciatti V. The temporal frequency response function of pattern ERG and VEP: changes in optic neuritis. Electroencephalogr Clin Neurophysiol. 1996;100: Atkinson J. The Developing Visual Brain. Oxford: Oxford University Press; Moore BR. A modification of the Rayleigh test for vector data. Biometrics. 1980;67: Wattam-Bell J. Analysis of infant visual evoked potentials (VEPs) by a phase-sensitive statistic (Abstract). Perception. 1985;14:A Braddick O, Birtles D, Wattam-Bell J, Atkinson J. Motion-and orientation-specific cortical responses in infancy. Vision Res. 2005; 45: Wood CC, Allison T. Interpretation of evoked potentials: a neurophysiological perspective. Can J Psychol. 1981;35: Tobimatsu S, Celesia GG. Studies of human visual pathophysiology with visual evoked potentials. Clin Neurophysiol. 2006;117: Shigeto H, Tobimatsu S, Yamamoto T, Kobayashi T, Kato M. Visual evoked cortical magnetic responses to checkerboard pattern reversal stimulation: a study on the neural generators of N75, P1, and N135. J Neurol Sci. 1998;156: Bodis-Wollner I, Atkin A, Raab E, Wolkstein M. Visual association cortex and vision in man: pattern-evoked occipital portentials in a blind boy. Science. 1997;198: Bonmassar G, Anami K, Ives J, Belliveau JW. Visual evoked potential (VEP) measured by simultaneous 64-channel EEG and 3T fmri. Neuroreport. 1999;10: Di Russo F, Pitzalis S, Aprile T, et al. Spatiotemporal analysis of the cortical sources of the steady-state visual evoked potential. Hum Brain Mapp. 2007;28: Pizzorusso T, Fagiolini M, Porciatti V, Maffei L. Temporal aspects of contrast visual evoked potentials in the pigmented rat: effect of dark rearing. Vision Res. 1997;37: Kos-Pietro S, Towle V, Cakmur R, Spire JP. Maturation of human visual evoked potentials: 27 weeks conceptional age to 2 years. Neuropediatrics. 1997;28: Tsuneishi S, Casaer P. Stepwise decrease in VEP latencies and the process of myelination in the human visual pathway. Brain Dev. 1997;19: Friendly DS. Development of vision in infants and young children. Pediatr Clin North Am. 1993;40: Friede RL, Hu KH. Proximo-distal differences in myelin development in human optic fibers. Zeitschrift für Zellforschung. 1967; 79: Gao W, Lin W, Chen Y, et al. Temporal and spatial development of axonal maturation and myelination of white matter in the developing brain. AJNR Am J Neuroradiol. 2009;30: Loenneker T, Klaver P, Bucher K, Lichtensteiger J, Imfeld A, Martin E. Microstructural development: organizational differences of the fiber architecture between children and adults in dorsal and ventral visual streams. Hum Brain Mapp. 2011;32:

9 1314 Lee et al. IOVS, March 2012, Vol. 53, No Burkhalter A, Bernardo KL, Charles V. Development of local circuits in human visual cortex. J Neurol Sci. 1993;13: Waxman SG. Determinants of conduction velocity in myelinated nerve fibers. Muscle Nerve. 1980;3: Lamme VAF, Roelfsema PR. The distinct modes of vision offered by feedforward and recurrent processing. TINS. 2000;23: Martinez A, Di Russo F, Anllo-Vento L, Hillyard SA. Electrophysiological analysis of cortical mechanisms of selective attention to high and low spatial frequencies. Clin Neurophsiol. 2001;112: Baas JM, Kenemans JL, Mangun GR. Selective attention to spatial frequency: an ERP and source localization analysis. Clin Neurophsiol. 2002;113: Fries P, Neuenschwander S, Engel AK, Goebel R, Singer W. Rapid feature selective neuronal synchronization through correlated latency shifting. Nat Neurosci. 2001;4:

Vision Research 63 (2012) Contents lists available at SciVerse ScienceDirect. Vision Research. journal homepage:

Vision Research 63 (2012) Contents lists available at SciVerse ScienceDirect. Vision Research. journal homepage: Vision Research 63 (212) 5 57 Contents lists available at SciVerse ScienceDirect Vision Research journal homepage: www.elsevier.com/locate/visres Orientation-reversal VEP: Comparison of phase and peak

More information

Electrodiagnostics Alphabet Soup

Electrodiagnostics Alphabet Soup Nathan Lighthizer, O.D., F.A.A.O Assistant Professor, NSUOCO Chief of Specialty Care Clinics Chief of Electrodiagnostics Clinic What is electrodiagnostics testing? Visual Pathway Basic Understanding VEP

More information

Scotopic contrast sensitivity in infants evaluated by evoked potentials

Scotopic contrast sensitivity in infants evaluated by evoked potentials Scotopic contrast sensitivity in infants evaluated by evoked potentials Adriana Fiorentini, M. Pirchio, and Donatella Spinelli* The contrast sensitivity function of infants 2V% to 6 months old has been

More information

Analysis Of Effect Of Stimulation On Trasient VEP Using Spectral Components

Analysis Of Effect Of Stimulation On Trasient VEP Using Spectral Components ISPUB.COM The Internet Journal of Medical Simulation Volume 2 Number 1 Analysis Of Effect Of Stimulation On Trasient VEP Using Spectral Components R Sivakumar, G Ravindran Citation R Sivakumar, G Ravindran..

More information

M Cells. Why parallel pathways? P Cells. Where from the retina? Cortical visual processing. Announcements. Main visual pathway from retina to V1

M Cells. Why parallel pathways? P Cells. Where from the retina? Cortical visual processing. Announcements. Main visual pathway from retina to V1 Announcements exam 1 this Thursday! review session: Wednesday, 5:00-6:30pm, Meliora 203 Bryce s office hours: Wednesday, 3:30-5:30pm, Gleason https://www.youtube.com/watch?v=zdw7pvgz0um M Cells M cells

More information

Reading Assignments: Lecture 5: Introduction to Vision. None. Brain Theory and Artificial Intelligence

Reading Assignments: Lecture 5: Introduction to Vision. None. Brain Theory and Artificial Intelligence Brain Theory and Artificial Intelligence Lecture 5:. Reading Assignments: None 1 Projection 2 Projection 3 Convention: Visual Angle Rather than reporting two numbers (size of object and distance to observer),

More information

Plasticity of Cerebral Cortex in Development

Plasticity of Cerebral Cortex in Development Plasticity of Cerebral Cortex in Development Jessica R. Newton and Mriganka Sur Department of Brain & Cognitive Sciences Picower Center for Learning & Memory Massachusetts Institute of Technology Cambridge,

More information

Photoreceptors Rods. Cones

Photoreceptors Rods. Cones Photoreceptors Rods Cones 120 000 000 Dim light Prefer wavelength of 505 nm Monochromatic Mainly in periphery of the eye 6 000 000 More light Different spectral sensitivities!long-wave receptors (558 nm)

More information

In office electrodiagnostics: what can it do for you

In office electrodiagnostics: what can it do for you 9/6/6 In office electrodiagnostics: what can it do for you Nathan Lighthizer, O.D., F.A.A.O Assistant Professor, NSUOCO Chief of Specialty Care Clinics Chief of Electrodiagnostics Clinic Course Outline/Objective

More information

Effects of Light Stimulus Frequency on Phase Characteristics of Brain Waves

Effects of Light Stimulus Frequency on Phase Characteristics of Brain Waves SICE Annual Conference 27 Sept. 17-2, 27, Kagawa University, Japan Effects of Light Stimulus Frequency on Phase Characteristics of Brain Waves Seiji Nishifuji 1, Kentaro Fujisaki 1 and Shogo Tanaka 1 1

More information

Vision II. Steven McLoon Department of Neuroscience University of Minnesota

Vision II. Steven McLoon Department of Neuroscience University of Minnesota Vision II Steven McLoon Department of Neuroscience University of Minnesota 1 Ganglion Cells The axons of the retinal ganglion cells form the optic nerve and carry visual information into the brain. 2 Optic

More information

Course C21. Visual Electrophysiology in Children. 12 June, :15-17:45 hrs. Room 118/119 HAND-OUTS

Course C21. Visual Electrophysiology in Children. 12 June, :15-17:45 hrs. Room 118/119 HAND-OUTS Course C21 Visual Electrophysiology in Children 12 June, 2017 16:15-17:45 hrs Room 118/119 HAND-OUTS Introducing visual electrophysiology tests and results Ruth Hamilton - A description of paeditaric tests

More information

Experience-dependent recovery of vision following chronic deprivation amblyopia. Hai-Yan He, Baisali Ray, Katie Dennis and Elizabeth M.

Experience-dependent recovery of vision following chronic deprivation amblyopia. Hai-Yan He, Baisali Ray, Katie Dennis and Elizabeth M. Experience-dependent recovery of vision following chronic deprivation amblyopia Hai-Yan He, Baisali Ray, Katie Dennis and Elizabeth M. Quinlan a 3. 2.5 2. 1.5.5 Deprived eye Non-deprived VCtx * * b 8.

More information

The Integration of Features in Visual Awareness : The Binding Problem. By Andrew Laguna, S.J.

The Integration of Features in Visual Awareness : The Binding Problem. By Andrew Laguna, S.J. The Integration of Features in Visual Awareness : The Binding Problem By Andrew Laguna, S.J. Outline I. Introduction II. The Visual System III. What is the Binding Problem? IV. Possible Theoretical Solutions

More information

Pattern electroretinogram in multiple sclerosis

Pattern electroretinogram in multiple sclerosis Short report Journal of Neurology, Neurosurgery, and Psychiatry 1984;47:879-883 Pattern electroretinogram in multiple sclerosis G SERRA, M CARRERAS, V TUGNOLI, M MANCA, MC CRISTOFORI From the Neurological

More information

The Parameters of Pattern Visual Evoked Potential in the Severe Visual Loss Patients in Korean

The Parameters of Pattern Visual Evoked Potential in the Severe Visual Loss Patients in Korean pissn: 0894 eissn: 09938 Korean J Ophthalmol 05;9(3):8589 http://dx.doi.org/0.334/kjo.05.9.3.85 Original Article The Parameters of Pattern Visual Evoked Potential in the Severe Visual Loss Patients in

More information

VISUAL EVOKED POTENTIAL PATTERN ELECTRORETINOGRAM ASSESSMENT OF NEURO VISUAL FUNCTION. Lee Shettle, D.O. Lee Shettle Eye & Hearing

VISUAL EVOKED POTENTIAL PATTERN ELECTRORETINOGRAM ASSESSMENT OF NEURO VISUAL FUNCTION. Lee Shettle, D.O. Lee Shettle Eye & Hearing VISUAL EVOKED POTENTIAL PATTERN ELECTRORETINOGRAM ASSESSMENT OF NEURO VISUAL FUNCTION Lee Shettle, D.O. Lee Shettle Eye & Hearing Overview of VEP / PERG Why should I Use this Test? How does it work? Clinical

More information

LISC-322 Neuroscience Cortical Organization

LISC-322 Neuroscience Cortical Organization LISC-322 Neuroscience Cortical Organization THE VISUAL SYSTEM Higher Visual Processing Martin Paré Assistant Professor Physiology & Psychology Most of the cortex that covers the cerebral hemispheres is

More information

Carlson (7e) PowerPoint Lecture Outline Chapter 6: Vision

Carlson (7e) PowerPoint Lecture Outline Chapter 6: Vision Carlson (7e) PowerPoint Lecture Outline Chapter 6: Vision This multimedia product and its contents are protected under copyright law. The following are prohibited by law: any public performance or display,

More information

CS294-6 (Fall 2004) Recognizing People, Objects and Actions Lecture: January 27, 2004 Human Visual System

CS294-6 (Fall 2004) Recognizing People, Objects and Actions Lecture: January 27, 2004 Human Visual System CS294-6 (Fall 2004) Recognizing People, Objects and Actions Lecture: January 27, 2004 Human Visual System Lecturer: Jitendra Malik Scribe: Ryan White (Slide: layout of the brain) Facts about the brain:

More information

High Visual Contrast Sensitivity in the Young Human Infant

High Visual Contrast Sensitivity in the Young Human Infant Investigative Ophthalmology & Visual Science, Vol. 29, No. 1, January 1988 Copyright Association for Research in Vision and Ophthalmology High Visual Contrast Sensitivity in the Young Human Infant Anthony

More information

DATA MANAGEMENT & TYPES OF ANALYSES OFTEN USED. Dennis L. Molfese University of Nebraska - Lincoln

DATA MANAGEMENT & TYPES OF ANALYSES OFTEN USED. Dennis L. Molfese University of Nebraska - Lincoln DATA MANAGEMENT & TYPES OF ANALYSES OFTEN USED Dennis L. Molfese University of Nebraska - Lincoln 1 DATA MANAGEMENT Backups Storage Identification Analyses 2 Data Analysis Pre-processing Statistical Analysis

More information

Ube3a is required for experience-dependent maturation of the neocortex

Ube3a is required for experience-dependent maturation of the neocortex Ube3a is required for experience-dependent maturation of the neocortex Koji Yashiro, Thorfinn T. Riday, Kathryn H. Condon, Adam C. Roberts, Danilo R. Bernardo, Rohit Prakash, Richard J. Weinberg, Michael

More information

Visual Physiology. Perception and Attention. Graham Hole. Problems confronting the visual system: Solutions: The primary visual pathways: The eye:

Visual Physiology. Perception and Attention. Graham Hole. Problems confronting the visual system: Solutions: The primary visual pathways: The eye: Problems confronting the visual system: Visual Physiology image contains a huge amount of information which must be processed quickly. image is dim, blurry and distorted. Light levels vary enormously.

More information

SPATIAL FREQUENCY (CPD) Contrast evoked potentials in strabismic and anisometropic amblyopia. DENNIS M. LEVI 10; 6 :

SPATIAL FREQUENCY (CPD) Contrast evoked potentials in strabismic and anisometropic amblyopia. DENNIS M. LEVI 10; 6 : Number 6 Reports 571 Contrast evoked potentials in strabismic and anisometropic amblyopia. DENNIS. VI AND RONALD S. HARWERTH. Steady-state visual evoked potentials were elicited by the appearance I disappearance

More information

Parallel streams of visual processing

Parallel streams of visual processing Parallel streams of visual processing RETINAL GANGLION CELL AXONS: OPTIC TRACT Optic nerve Optic tract Optic chiasm Lateral geniculate nucleus Hypothalamus: regulation of circadian rhythms Pretectum: reflex

More information

Comparison of Pattern VEPs and Preferential-Looking Behavior in 3-Month-Old Infants

Comparison of Pattern VEPs and Preferential-Looking Behavior in 3-Month-Old Infants Comparison of Pattern VEPs and Preferential-Looking Behavior in 3-Month-Old Infants Samuel Sokol ond Anne Moskowirz Studies of visual acuity in human infants between 1 and 6 months of age using the visual-evoked

More information

V1 (Chap 3, part II) Lecture 8. Jonathan Pillow Sensation & Perception (PSY 345 / NEU 325) Princeton University, Fall 2017

V1 (Chap 3, part II) Lecture 8. Jonathan Pillow Sensation & Perception (PSY 345 / NEU 325) Princeton University, Fall 2017 V1 (Chap 3, part II) Lecture 8 Jonathan Pillow Sensation & Perception (PSY 345 / NEU 325) Princeton University, Fall 2017 Topography: mapping of objects in space onto the visual cortex contralateral representation

More information

The Eye. Cognitive Neuroscience of Language. Today s goals. 5 From eye to brain. Today s reading

The Eye. Cognitive Neuroscience of Language. Today s goals. 5 From eye to brain. Today s reading Cognitive Neuroscience of Language 5 From eye to brain Today s goals Look at the pathways that conduct the visual information from the eye to the visual cortex Marielle Lange http://homepages.inf.ed.ac.uk/mlange/teaching/cnl/

More information

Pathway from the eye to the cortex

Pathway from the eye to the cortex Vision: CNS 2017 Pathway from the eye to the cortex Themes of this lecture Visual information is analyzed in more complicated ways than in the retina. One major pathway from the eye leads to the striate

More information

Most aspects of spatial vision are quite immature in the

Most aspects of spatial vision are quite immature in the Development of VEP Vernier Acuity and Grating Acuity in Human Infants Ann M. Skoczenski and Anthony M. Norcia PURPOSE. To compare the developmental sequences of two basic measures of pattern vision, Vernier

More information

Temporal Feature of S-cone Pathway Described by Impulse Response Function

Temporal Feature of S-cone Pathway Described by Impulse Response Function VISION Vol. 20, No. 2, 67 71, 2008 Temporal Feature of S-cone Pathway Described by Impulse Response Function Keizo SHINOMORI Department of Information Systems Engineering, Kochi University of Technology

More information

Required Slide. Session Objectives

Required Slide. Session Objectives Vision: CNS 2018 Required Slide Session Objectives Visual system: CNS At the end of this session, students will be able to: 1. Understand how axons from the eyes travel through the optic nerves and tracts

More information

Electronic Letters to: Electronic letters published: Multiple Mechanisms in the VEP 23 July von :24

Electronic Letters to: Electronic letters published: Multiple Mechanisms in the VEP 23 July von :24 QUICK SEARCH: Author: Go [advanced] Keyword(s): HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH Year: Vol: Page: Electronic Letters to: Visual Neurophysiology: Givago S. Souza, Bruno D. Gomes, Cézar A.

More information

eye as a camera Kandel, Schwartz & Jessel (KSJ), Fig 27-3

eye as a camera Kandel, Schwartz & Jessel (KSJ), Fig 27-3 eye as a camera Kandel, Schwartz & Jessel (KSJ), Fig 27-3 retinal specialization fovea: highest density of photoreceptors, aimed at where you are looking -> highest acuity optic disk: cell-free area, where

More information

THE VISUAL WORLD! Visual (Electromagnetic) Stimulus

THE VISUAL WORLD! Visual (Electromagnetic) Stimulus THE VISUAL WORLD! Visual (Electromagnetic) Stimulus Perceived color of light is determined by 3 characteristics (properties of electromagnetic energy): 1. Hue: the spectrum (wavelength) of light (color)

More information

Lighta part of the spectrum of Electromagnetic Energy. (the part that s visible to us!)

Lighta part of the spectrum of Electromagnetic Energy. (the part that s visible to us!) Introduction to Physiological Psychology Vision ksweeney@cogsci.ucsd.edu cogsci.ucsd.edu/~ /~ksweeney/psy260.html Lighta part of the spectrum of Electromagnetic Energy (the part that s visible to us!)

More information

Optic neuritis (ON) is a clinical syndrome characterized

Optic neuritis (ON) is a clinical syndrome characterized Tracking the Recovery of Local Optic Nerve Function after Optic Neuritis: A Multifocal VEP Study Donald C. Hood, 1 Jeffrey G. Odel, 2 and Xian Zhang 1 PURPOSE. To explore the multifocal visual evoked potential

More information

Development of the Human Visual System: Monocular and Binocular Pattern VEP Latency

Development of the Human Visual System: Monocular and Binocular Pattern VEP Latency Investigative Ophthalmology & Visual Science, Vol., o., July Copyright Association for Research in Vision and Ophthalmology Development of the Human Visual System: Monocular and Binocular Pattern VEP Latency

More information

Figure 1. Source localization results for the No Go N2 component. (a) Dipole modeling

Figure 1. Source localization results for the No Go N2 component. (a) Dipole modeling Supplementary materials 1 Figure 1. Source localization results for the No Go N2 component. (a) Dipole modeling analyses placed the source of the No Go N2 component in the dorsal ACC, near the ACC source

More information

Answer three questions out of four questions.

Answer three questions out of four questions. Ancillary Material: Nil ACADEMIC UNIT OF OPHTHALMOLOGY & ORTHOPTICS Summer Semester 2016 ELECTRODIAGNOSIS 1 Hour 30 Minutes You are advised to use the 4 leaf answer book. There are four questions. Attempt

More information

From last week: The body is a complex electrical machine. Basic Electrophysiology, the Electroretinogram ( ERG ) and the Electrooculogram ( EOG )

From last week: The body is a complex electrical machine. Basic Electrophysiology, the Electroretinogram ( ERG ) and the Electrooculogram ( EOG ) From last week: Differential Amplification This diagram shows a low frequency signal from the patient that differs between the two inputs and is therefore amplified, with an interfering high frequency

More information

Normal and amblyopic contrast sensitivity functions in central and peripheral retinas

Normal and amblyopic contrast sensitivity functions in central and peripheral retinas Normal and amblyopic contrast sensitivity functions in central and peripheral retinas Joseph Thomas Contrast sensitivity functions (CSF's)for temporally modulated sine wave gratings were established at

More information

THE STRUCTURE-FUNCTION JUNCTION

THE STRUCTURE-FUNCTION JUNCTION THE STRUCTURE-FUNCTION JUNCTION Craig Thomas, O.D. 3900 West Wheatland Road Dallas, Texas 75237 972-780-7199 thpckc@yahoo.com Paul M. Karpecki, O.D., FAAO 120 N Eagle Creek Drive # 431 Lexington, KY 40509

More information

THE VISUAL WORLD! Visual (Electromagnetic) Stimulus

THE VISUAL WORLD! Visual (Electromagnetic) Stimulus THE VISUAL WORLD! Visual (Electromagnetic) Stimulus Perceived color of light is determined by 3 characteristics (properties of electromagnetic energy): 1. : the spectrum (wavelength) of light (color) 2.

More information

Basic Electrophysiology, the Electroretinogram (ERG) and the Electrooculogram (EOG) - Signal origins, recording methods and clinical applications

Basic Electrophysiology, the Electroretinogram (ERG) and the Electrooculogram (EOG) - Signal origins, recording methods and clinical applications Basic Electrophysiology, the Electroretinogram (ERG) and the Electrooculogram (EOG) - Signal origins, recording methods and clinical applications The body is a complex machine consisting of the central

More information

Biological Bases of Behavior. 6: Vision

Biological Bases of Behavior. 6: Vision Biological Bases of Behavior 6: Vision Sensory Systems The brain detects events in the external environment and directs the contractions of the muscles Afferent neurons carry sensory messages to brain

More information

at least in part, by observing the effect of raising body temperature on the evoked potentials. upper limit of the normal value for latency of

at least in part, by observing the effect of raising body temperature on the evoked potentials. upper limit of the normal value for latency of Journal of Neurology, Neurosurgery, and Psychiatry, 1979, 42, 250-255 Effect of raising body temperature on visual and somatosensory evoked potentials in patients with multiple sclerosis W. B. MATTHEWS,

More information

The effects of subthreshold synchrony on the perception of simultaneity. Ludwig-Maximilians-Universität Leopoldstr 13 D München/Munich, Germany

The effects of subthreshold synchrony on the perception of simultaneity. Ludwig-Maximilians-Universität Leopoldstr 13 D München/Munich, Germany The effects of subthreshold synchrony on the perception of simultaneity 1,2 Mark A. Elliott, 2 Zhuanghua Shi & 2,3 Fatma Sürer 1 Department of Psychology National University of Ireland Galway, Ireland.

More information

ERP Studies of Selective Attention to Nonspatial Features

ERP Studies of Selective Attention to Nonspatial Features CHAPTER 82 ERP Studies of Selective Attention to Nonspatial Features Alice Mado Proverbio and Alberto Zani ABSTRACT This paper concentrates on electrophysiological data concerning selective attention to

More information

Diffusion tensor imaging of the infant brain: From technical problems to neuroscientific breakthroughs Jessica Dubois

Diffusion tensor imaging of the infant brain: From technical problems to neuroscientific breakthroughs Jessica Dubois Diffusion tensor imaging of the infant brain: From technical problems to neuroscientific breakthroughs Jessica Dubois L. Hertz-Pannier, G. Dehaene-Lambertz, J.F. Mangin, D. Le Bihan Inserm U56, U663; NeuroSpin

More information

The neurolinguistic toolbox Jonathan R. Brennan. Introduction to Neurolinguistics, LSA2017 1

The neurolinguistic toolbox Jonathan R. Brennan. Introduction to Neurolinguistics, LSA2017 1 The neurolinguistic toolbox Jonathan R. Brennan Introduction to Neurolinguistics, LSA2017 1 Psycholinguistics / Neurolinguistics Happy Hour!!! Tuesdays 7/11, 7/18, 7/25 5:30-6:30 PM @ the Boone Center

More information

2/3/17. Visual System I. I. Eye, color space, adaptation II. Receptive fields and lateral inhibition III. Thalamus and primary visual cortex

2/3/17. Visual System I. I. Eye, color space, adaptation II. Receptive fields and lateral inhibition III. Thalamus and primary visual cortex 1 Visual System I I. Eye, color space, adaptation II. Receptive fields and lateral inhibition III. Thalamus and primary visual cortex 2 1 2/3/17 Window of the Soul 3 Information Flow: From Photoreceptors

More information

OPTO 5320 VISION SCIENCE I

OPTO 5320 VISION SCIENCE I OPTO 5320 VISION SCIENCE I Monocular Sensory Processes of Vision: Color Vision Mechanisms of Color Processing . Neural Mechanisms of Color Processing A. Parallel processing - M- & P- pathways B. Second

More information

Mental representation of number in different numerical forms

Mental representation of number in different numerical forms Submitted to Current Biology Mental representation of number in different numerical forms Anna Plodowski, Rachel Swainson, Georgina M. Jackson, Chris Rorden and Stephen R. Jackson School of Psychology

More information

Early Stages of Vision Might Explain Data to Information Transformation

Early Stages of Vision Might Explain Data to Information Transformation Early Stages of Vision Might Explain Data to Information Transformation Baran Çürüklü Department of Computer Science and Engineering Mälardalen University Västerås S-721 23, Sweden Abstract. In this paper

More information

LISC-322 Neuroscience. Visual Field Representation. Visual Field Representation. Visual Field Representation. Visual Field Representation

LISC-322 Neuroscience. Visual Field Representation. Visual Field Representation. Visual Field Representation. Visual Field Representation LISC-3 Neuroscience THE VISUAL SYSTEM Central Visual Pathways Each eye sees a part of the visual space that defines its visual field. The s of both eyes overlap extensively to create a binocular. eye both

More information

Visual Evoked Potentials. Outline. Visual Pathway Anatomy

Visual Evoked Potentials. Outline. Visual Pathway Anatomy Visual Evoked Potentials Elayna Rubens, MD Assistant Professor of Neurology Weill Cornell Medical College Memorial Sloan Kettering Cancer Center Outline Visual Pathway Anatomy Basic VEP principles -VEP

More information

ASSUMPTION OF COGNITIVE UNIFORMITY

ASSUMPTION OF COGNITIVE UNIFORMITY The Human Brain cerebral hemispheres: two most important divisions of the brain, separated by the longitudinal fissure corpus callosum: a large bundle of axons that constitutes the major connection between

More information

The Effects of Luminance on FPL and VEP Acuity in Human Infants DALE ALLEN, * PATRICK J. BENNETT, * MARTIN S. BANKS

The Effects of Luminance on FPL and VEP Acuity in Human Infants DALE ALLEN, * PATRICK J. BENNETT, * MARTIN S. BANKS Vision Res. Vol. 32, No. 11, pp. 2005-2012, 1992 0042-6989/92 $5.00 + 0.00 Printed in Great Britain. All rights reserved Copyright 1992 Pergamon Press Ltd The Effects of Luminance on FPL and VEP Acuity

More information

SUPPLEMENTAL MATERIAL

SUPPLEMENTAL MATERIAL 1 SUPPLEMENTAL MATERIAL Response time and signal detection time distributions SM Fig. 1. Correct response time (thick solid green curve) and error response time densities (dashed red curve), averaged across

More information

ISCEV standard for clinical visual evoked potentials: (2016 update)

ISCEV standard for clinical visual evoked potentials: (2016 update) Doc Ophthalmol (2016) 133:1 9 DOI 10.1007/s10633-016-9553-y ISCEV STANDARDS ISCEV standard for clinical visual evoked potentials: (2016 update) J. Vernon Odom. Michael Bach. Mitchell Brigell. Graham E.

More information

Chromatic spatial contrast sensitivity estimated by visual evoked cortical potential and psychophysics

Chromatic spatial contrast sensitivity estimated by visual evoked cortical potential and psychophysics Brazilian Journal of Medical and Biological Research (2013) 46: 154-163, http://dx.doi.org/10.1590/1414-431x20122428 ISSN 1414-431X Chromatic spatial contrast sensitivity estimated by visual evoked cortical

More information

Lateral Geniculate Nucleus (LGN)

Lateral Geniculate Nucleus (LGN) Lateral Geniculate Nucleus (LGN) What happens beyond the retina? What happens in Lateral Geniculate Nucleus (LGN)- 90% flow Visual cortex Information Flow Superior colliculus 10% flow Slide 2 Information

More information

AUTOCORRELATION AND CROSS-CORRELARION ANALYSES OF ALPHA WAVES IN RELATION TO SUBJECTIVE PREFERENCE OF A FLICKERING LIGHT

AUTOCORRELATION AND CROSS-CORRELARION ANALYSES OF ALPHA WAVES IN RELATION TO SUBJECTIVE PREFERENCE OF A FLICKERING LIGHT AUTOCORRELATION AND CROSS-CORRELARION ANALYSES OF ALPHA WAVES IN RELATION TO SUBJECTIVE PREFERENCE OF A FLICKERING LIGHT Y. Soeta, S. Uetani, and Y. Ando Graduate School of Science and Technology, Kobe

More information

Construction of the Visual Image

Construction of the Visual Image Construction of the Visual Image Anne L. van de Ven 8 Sept 2003 BioE 492/592 Sensory Neuroengineering Lecture 3 Visual Perception Light Photoreceptors Interneurons Visual Processing Ganglion Neurons Optic

More information

Functional Connectivity and the Neurophysics of EEG. Ramesh Srinivasan Department of Cognitive Sciences University of California, Irvine

Functional Connectivity and the Neurophysics of EEG. Ramesh Srinivasan Department of Cognitive Sciences University of California, Irvine Functional Connectivity and the Neurophysics of EEG Ramesh Srinivasan Department of Cognitive Sciences University of California, Irvine Outline Introduce the use of EEG coherence to assess functional connectivity

More information

The impact of numeration on visual attention during a psychophysical task; An ERP study

The impact of numeration on visual attention during a psychophysical task; An ERP study The impact of numeration on visual attention during a psychophysical task; An ERP study Armita Faghani Jadidi, Raheleh Davoodi, Mohammad Hassan Moradi Department of Biomedical Engineering Amirkabir University

More information

Visual Evoked Potentials

Visual Evoked Potentials 25 Visual Evoked Potentials Frank W. Drislane Summary The visual evoked potential (VEP) is primarily a relatively large, positive polarity wave generated in the occipital cortex in response to visual stimulation.

More information

Neural Correlates of Human Cognitive Function:

Neural Correlates of Human Cognitive Function: Neural Correlates of Human Cognitive Function: A Comparison of Electrophysiological and Other Neuroimaging Approaches Leun J. Otten Institute of Cognitive Neuroscience & Department of Psychology University

More information

An Overview of BMIs. Luca Rossini. Workshop on Brain Machine Interfaces for Space Applications

An Overview of BMIs. Luca Rossini. Workshop on Brain Machine Interfaces for Space Applications An Overview of BMIs Luca Rossini Workshop on Brain Machine Interfaces for Space Applications European Space Research and Technology Centre, European Space Agency Noordvijk, 30 th November 2009 Definition

More information

PHY3111 Mid-Semester Test Study. Lecture 2: The hierarchical organisation of vision

PHY3111 Mid-Semester Test Study. Lecture 2: The hierarchical organisation of vision PHY3111 Mid-Semester Test Study Lecture 2: The hierarchical organisation of vision 1. Explain what a hierarchically organised neural system is, in terms of physiological response properties of its neurones.

More information

Image Formation and Phototransduction. By Dr. Abdelaziz Hussein Lecturer of Physiology

Image Formation and Phototransduction. By Dr. Abdelaziz Hussein Lecturer of Physiology Image Formation and Phototransduction By Dr. Abdelaziz Hussein Lecturer of Physiology Vision Vision is a complex process through which an image of the external environment is formed on the photosensitive

More information

Sum of Neurally Distinct Stimulus- and Task-Related Components.

Sum of Neurally Distinct Stimulus- and Task-Related Components. SUPPLEMENTARY MATERIAL for Cardoso et al. 22 The Neuroimaging Signal is a Linear Sum of Neurally Distinct Stimulus- and Task-Related Components. : Appendix: Homogeneous Linear ( Null ) and Modified Linear

More information

Spatial attention has different effects on the magno- and parvocellular. pathway. Francesco Di Russo 1,2 and Donatella Spinelli 1,3,CA.

Spatial attention has different effects on the magno- and parvocellular. pathway. Francesco Di Russo 1,2 and Donatella Spinelli 1,3,CA. Cognitive Neuroscience, 755±76 (999) ATTENTION was directed to the left or to the right of the xation point by the lateral presentation of a target on which the subject had to perform an attention demanding

More information

Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway

Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway Richard Kempter* Institut fur Theoretische Physik Physik-Department der TU Munchen D-85748 Garching bei Munchen J. Leo van

More information

The role of selective attention in visual awareness of stimulus features: Electrophysiological studies

The role of selective attention in visual awareness of stimulus features: Electrophysiological studies Cognitive, Affective, & Behavioral Neuroscience 2008, 8 (2), 195-210 doi: 10.3758/CABN.8.2.195 The role of selective attention in visual awareness of stimulus features: Electrophysiological studies MIKA

More information

HST 583 fmri DATA ANALYSIS AND ACQUISITION

HST 583 fmri DATA ANALYSIS AND ACQUISITION HST 583 fmri DATA ANALYSIS AND ACQUISITION Neural Signal Processing for Functional Neuroimaging Neuroscience Statistics Research Laboratory Massachusetts General Hospital Harvard Medical School/MIT Division

More information

Spectrograms (revisited)

Spectrograms (revisited) Spectrograms (revisited) We begin the lecture by reviewing the units of spectrograms, which I had only glossed over when I covered spectrograms at the end of lecture 19. We then relate the blocks of a

More information

Supporting Information

Supporting Information Supporting Information Moriguchi and Hiraki 10.1073/pnas.0809747106 SI Text Differences in Brain Activation Between Preswitch and Postswitch Phases. The paired t test was used to compare the brain activation

More information

Supplementary Note Psychophysics:

Supplementary Note Psychophysics: Supplementary Note More detailed description of MM s subjective experiences can be found on Mike May s Perceptions Home Page, http://www.senderogroup.com/perception.htm Psychophysics: The spatial CSF was

More information

Introduction. Introduction. A Comparison of Contrast Sensitivity and Sweep Visual Evoked Potential (svep) Acuity Estimates in Normal Humans.

Introduction. Introduction. A Comparison of Contrast Sensitivity and Sweep Visual Evoked Potential (svep) Acuity Estimates in Normal Humans. A Comparison of Contrast Sensitivity and Sweep Visual Evoked Potential (svep) Acuity Estimates in Normal Humans. William H. Ridder,III, Apoorva Karsolia, and Deborah Duan. Southern California College of

More information

Quick Guide - eabr with Eclipse

Quick Guide - eabr with Eclipse What is eabr? Quick Guide - eabr with Eclipse An electrical Auditory Brainstem Response (eabr) is a measurement of the ABR using an electrical stimulus. Instead of a traditional acoustic stimulus the cochlear

More information

What do we perceive?

What do we perceive? THE VISUAL SYSTEM Aditi Majumder What do we perceive? Example: Switch off the light in room What we perceive Not only the property of the scene But also that of the visual system Our perception is filtered

More information

Morton-Style Factorial Coding of Color in Primary Visual Cortex

Morton-Style Factorial Coding of Color in Primary Visual Cortex Morton-Style Factorial Coding of Color in Primary Visual Cortex Javier R. Movellan Institute for Neural Computation University of California San Diego La Jolla, CA 92093-0515 movellan@inc.ucsd.edu Thomas

More information

Visual Evoked Potentials and Event Related Potentials in Congenitally Deaf Subjects

Visual Evoked Potentials and Event Related Potentials in Congenitally Deaf Subjects Physiol. Res. 54: 577-583, 25 Visual Evoked Potentials and Event Related Potentials in Congenitally Deaf Subjects J. CHLUBNOVÁ, J. KREMLÁČEK, Z. KUBOVÁ, M. KUBA Department of Pathophysiology, Faculty of

More information

Sleep-Wake Cycle I Brain Rhythms. Reading: BCP Chapter 19

Sleep-Wake Cycle I Brain Rhythms. Reading: BCP Chapter 19 Sleep-Wake Cycle I Brain Rhythms Reading: BCP Chapter 19 Brain Rhythms and Sleep Earth has a rhythmic environment. For example, day and night cycle back and forth, tides ebb and flow and temperature varies

More information

From Single-trial EEG to Brain Area Dynamics

From Single-trial EEG to Brain Area Dynamics From Single-trial EEG to Brain Area Dynamics a Delorme A., a Makeig, S., b Fabre-Thorpe, M., a Sejnowski, T. a The Salk Institute for Biological Studies, 10010 N. Torey Pines Road, La Jolla, CA92109, USA

More information

Basic requirements for visual evoked potentials

Basic requirements for visual evoked potentials ANNALS OF CLINICAL NEUROPHYSIOLOGY THE KOREAN SOCIETY OF CLINICAL NEUROPHYSIOLOGY SPECIAL ARTICLE Ann Clin Neurophysiol 2018;20(1):12-17 Basic requirements for visual evoked potentials Hung Youl Seok 1,

More information

Reliability and Significance of Measurements of a-wave Latency in Rats

Reliability and Significance of Measurements of a-wave Latency in Rats Reliability and Significance of Measurements of a-wave Latency in Rats Eriko Fujiwara*, Hui Qiu, Mu Liu, Byron L. Lam, J.-M. Parel, G. Inana and D. I. Hamasaki *Department of Ophthalmology, Fukuoka University

More information

Vision Seeing is in the mind

Vision Seeing is in the mind 1 Vision Seeing is in the mind Stimulus: Light 2 Light Characteristics 1. Wavelength (hue) 2. Intensity (brightness) 3. Saturation (purity) 3 4 Hue (color): dimension of color determined by wavelength

More information

Visually evoked cortical potentials in the evaluation of homonymous and bitemporal visual field defects

Visually evoked cortical potentials in the evaluation of homonymous and bitemporal visual field defects Brit. J. Ophthal. (I976) 6o, 273 Visually evoked cortical potentials in the evaluation of homonymous and bitemporal visual field defects H. G. H. WILDBERGER,* G. H. M. VAN LITH, R. WIJNGAARDE, AND G. T.

More information

Outline of Talk. Introduction to EEG and Event Related Potentials. Key points. My path to EEG

Outline of Talk. Introduction to EEG and Event Related Potentials. Key points. My path to EEG Outline of Talk Introduction to EEG and Event Related Potentials Shafali Spurling Jeste Assistant Professor in Psychiatry and Neurology UCLA Center for Autism Research and Treatment Basic definitions and

More information

CHAPTER 6 INTERFERENCE CANCELLATION IN EEG SIGNAL

CHAPTER 6 INTERFERENCE CANCELLATION IN EEG SIGNAL 116 CHAPTER 6 INTERFERENCE CANCELLATION IN EEG SIGNAL 6.1 INTRODUCTION Electrical impulses generated by nerve firings in the brain pass through the head and represent the electroencephalogram (EEG). Electrical

More information

COGS 101A: Sensation and Perception

COGS 101A: Sensation and Perception COGS 101A: Sensation and Perception 1 Virginia R. de Sa Department of Cognitive Science UCSD Lecture 5: LGN and V1: Magno and Parvo streams Chapter 3 Course Information 2 Class web page: http://cogsci.ucsd.edu/

More information

Light passes through the lens, through the inner layer of ganglion cells and bipolar cells to reach the rods and cones. The retina

Light passes through the lens, through the inner layer of ganglion cells and bipolar cells to reach the rods and cones. The retina The visual system Light passes through the lens, through the inner layer of ganglion cells and bipolar cells to reach the rods and cones. The retina 0.5 mm thick The retina 0.5 mm thick The photosensors

More information

Neural correlates of short-term perceptual learning in orientation discrimination indexed by event-related potentials

Neural correlates of short-term perceptual learning in orientation discrimination indexed by event-related potentials Chinese Science Bulletin 2007 Science in China Press Springer-Verlag Neural correlates of short-term perceptual learning in orientation discrimination indexed by event-related potentials SONG Yan 1, PENG

More information

LEA Color Vision Testing

LEA Color Vision Testing To The Tester Quantitative measurement of color vision is an important diagnostic test used to define the degree of hereditary color vision defects found in screening with pseudoisochromatic tests and

More information

Abnormal late visual responses and alpha oscillations in neurofibromatosis type 1: a link to visual and attention deficits

Abnormal late visual responses and alpha oscillations in neurofibromatosis type 1: a link to visual and attention deficits Ribeiro et al. Journal of Neurodevelopmental Disorders, : RESEARCH Open Access Abnormal late visual responses and alpha oscillations in neurofibromatosis type : a link to visual and attention deficits

More information