Electromagne7c Brain Mapping Physiology of source signals
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1 lectromagne7c Brain Mapping Physiology of source signals Sylvain Baillet McConnell Brain Imaging Centre Montreal Neurological Ins7tute McGill University Google it! MG MNI
2 The neural cell as elementary building block
3 The neural cell as elementary building block
4 The neural cell as elementary building block
5 The neural cell as elementary building block pyramidal cell as canonical source element
6 Baillet, Nature Neuroscience (2017)
7 Baillet, Nature Neuroscience (2017)
8 Baillet, Nature Neuroscience (2017)
9 measured induced currents magnetometer Baillet, Nature Neuroscience (2017)
10 Baillet, Nature Neuroscience (2017)
11 experimental data (micro)mg Murakami et al., J. Physiol (2002) Baillet, Nature Neuroscience (2017)
12 Baillet, Nature Neuroscience (2017)
13 The equivalent current dipole = current source model of PSP s and AP s equivalent current dipole model = +
14 The equivalent current dipole = current source model of PSP s and AP s equivalent current dipole model = +
15 The equivalent current dipole = current source model of PSP s and AP s equivalent current dipole model = +
16 The equivalent current dipole = current source model of PSP s and AP s overlap of multiple PSPs yields stronger contribution to MG/G signalling equivalent current dipole model = +
17 The equivalent current dipole = current source model of PSP s and AP s overlap of multiple PSPs yields stronger contribution to MG/G signalling stronger individual currents but poorer temporal overlap of APs equivalent current dipole model = +
18 The equivalent current dipole = current source model of PSP s and AP s overlap of multiple PSPs yields stronger contribution to MG/G signalling stronger individual currents but poorer temporal overlap of APs equivalent current dipole model = + > 50,000 cells
19 The equivalent current dipole = current source model of PSP s and AP s overlap of multiple PSPs yields stronger contribution to MG/G signalling stronger individual currents but poorer temporal overlap of APs equivalent current dipole model = + > 50,000 cells > 10,000 cells
20 influence of cell morphology on signal strength radial cell morphology
21 influence of cell morphology on signal strength radial cell morphology net current dipole
22 influence of cell morphology on signal strength radial cell morphology weaker net currents than from elongated cell morphology net current dipole
23 mesoscopic distribu7on of currents cortex
24 mesoscopic distribu7on of currents cortex
25 mesoscopic distribu7on of currents cortex nuclei
26 mesoscopic distribu7on of currents cortex nuclei
27 Dynamics a rapid overview
28 Dynamics a rapid overview
29 Signal extrac7on: several op7ons
30 Signal extrac7on: several op7ons LFP G sensor/source MG sensor/source MG example
31 Signal extrac7on: several op7ons LFP G sensor/source MG sensor/source MG example
32 Signal extrac7on: several op7ons LFP G sensor/source MG sensor/source MG example
33 Signal extrac7on: several op7ons LFP G sensor/source MG sensor/source Stimulus / behavioral event MG example
34 Signal extrac7on: several op7ons Average representations LFP G sensor/source MG sensor/source Stimulus / behavioral event MG example
35 Signal extrac7on: several op7ons Average representations vent related response, perturbation LFP G sensor/source MG sensor/source Stimulus / behavioral event MG example
36 Signal extrac7on: several op7ons Average representations vent related response, perturbation frequency γ β α θ δ power time-frequency decomposition time LFP G sensor/source MG sensor/source Stimulus / behavioral event MG example
37 Temporal jizer of unitary and ensemble responses Thalamic stimulation Cortical response Contreras & Steriade, J. Neurophys. (1996)
38 vidence of low-to-high frequency coupling of neural oscilla7ons: single cells & assemblies Contreras & Steriade, J. Neurosci. (1995)
39 Oscilla7ons a scaffold of neural dynamics
40 Oscilla7ons a scaffold of neural dynamics
41 State-dependent expressions of neural oscilla7ons
42 State-dependent expressions of neural oscilla7ons Consider the res7ng-state as a case example
43 State-dependent expressions of neural oscilla7ons Consider the res7ng-state as a case example fmri - BOLD Resting-state networks Buckner et al. Ann NY Acad. Sci. (2008) Carhart-Harris & Friston, Brain (2010)
44 State-dependent expressions of neural oscilla7ons Consider the res7ng-state as a case example fmri - BOLD Resting-state networks? Buckner et al. Ann NY Acad. Sci. (2008) Carhart-Harris & Friston, Brain (2010)
45 State-dependent expressions of neural oscilla7ons Consider the res7ng-state as a case example electrophysiology fmri - BOLD Resting-state networks β α? θ γ Buckner et al. Ann NY Acad. Sci. (2008) Carhart-Harris & Friston, Brain (2010) δ
46 Correla7on between ongoing brain rhythms and BOLD high γ γ β correla7on BOLD vs. envelope of oscillatory fluctua7ons δ θ α Schölvinck et al. PNAS (2010) see also Logothe7s et al., Nature (2001)
47 Baillet, Nature Neuroscience (2017) Interdependencies in the polyrhythmic ac7vity of the brain?
48 Interdependencies in the polyrhythmic ac7vity of the brain? MG example Baillet, Nature Neuroscience (2017)
49 Interdependencies in the polyrhythmic ac7vity of the brain? e-phys power MG example frequency Baillet, Nature Neuroscience (2017)
50 Interdependencies in the polyrhythmic ac7vity of the brain? δ θ α β γ e-phys power MG example frequency Baillet, Nature Neuroscience (2017)
51 Interdependencies in the polyrhythmic ac7vity of the brain? δ θ α β γ e-phys power MG example frequency Baillet, Nature Neuroscience (2017)
52 Interdependencies in the polyrhythmic ac7vity of the brain? δ θ α β γ e-phys power MG example frequency Baillet, Nature Neuroscience (2017)
53 Interdependencies in the polyrhythmic ac7vity of the brain? cross-frequency coupling δ θ α β γ e-phys power MG example frequency Baillet, Nature Neuroscience (2017)
54 Cross-frequency phase-amplitude coupling (PAC)
55 Cross-frequency phase-amplitude coupling (PAC)
56 Cross-frequency phase-amplitude coupling (PAC)
57 Cross-frequency phase-amplitude coupling (PAC) frequency for phase (fp)
58 Cross-frequency phase-amplitude coupling (PAC) frequency for phase (fp) frequency for amplitude (fa)
59 Cross-frequency phase-amplitude coupling (PAC) γ frequency for phase (fp) frequency for amplitude (fa)
60 Cross-frequency phase-amplitude coupling (PAC) γ frequency for phase (fp) θ frequency for amplitude (fa)
61 Baillet, Nature Neuroscience (2017) Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics?
62 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI Baillet, Nature Neuroscience (2017)
63 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI MG example Baillet, Nature Neuroscience (2017)
64 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI MG example : net excitability I: net inhibi7on Buszaki & Wang Ann Rev Neurosc (2012) Baillet, Nature Neuroscience (2017)
65 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI MG example : net excitability I: net inhibi7on I Buszaki & Wang Ann Rev Neurosc (2012) Baillet, Nature Neuroscience (2017)
66 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI MG example : net excitability I: net inhibi7on I I Buszaki & Wang Ann Rev Neurosc (2012) Baillet, Nature Neuroscience (2017)
67 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI MG example : net excitability I: net inhibi7on I I Buszaki & Wang Ann Rev Neurosc (2012) Baillet, Nature Neuroscience (2017)
68 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly FI SI MG example : net excitability I: net inhibi7on I I Buszaki & Wang Ann Rev Neurosc (2012) Baillet, Nature Neuroscience (2017)
69 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly Human LFP Canolty et al. Science (2006) FI SI MG example : net excitability I: net inhibi7on I I Buszaki & Wang Ann Rev Neurosc (2012) Baillet, Nature Neuroscience (2017)
70 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly Human LFP Canolty et al. Science (2006) FI SI MG example : net excitability I: net inhibi7on I I Buszaki & Wang Ann Rev Neurosc (2012) B Baillet, Nature Neuroscience (2017) MG Florin & Baillet NeuroImage (2015)
71 Cross-frequency phase-amplitude coupling (PAC): A generic mechanism regula7ng local brain dynamics? neural cell assembly Human LFP Canolty et al. Science (2006) FI SI MG example : net excitability I: net inhibi7on I I Comodulogram Frequency for amplitude PAC Buszaki & Wang Ann Rev Neurosc (2012) B Baillet, Nature Neuroscience (2017) MG Florin & Baillet NeuroImage (2015)
72 Baillet, Nature Neuroscience (2017) Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics?
73 Baillet, Nature Neuroscience (2017) Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics?
74 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? FI SI Baillet, Nature Neuroscience (2017)
75 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α γ FI SI Baillet, Nature Neuroscience (2017)
76 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α γ INPUT FI SI Baillet, Nature Neuroscience (2017)
77 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α Dynamical relaying FI SI γ INPUT FI SI Baillet, Nature Neuroscience (2017)
78 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α Dynamical relaying FI SI γ INPUT FI SI Baillet, Nature Neuroscience (2017)
79 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α Dynamical relaying FI SI γ INPUT FI SI β Baillet, Nature Neuroscience (2017)
80 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α Dynamical relaying FI SI γ INPUT FI SI β δ α γ phase resetting I I I γ γ γ unpredicted STIM expected STIM expected STIM expected STIM Baillet, Nature Neuroscience (2017) β
81 Cross-frequency coupling: a generic mechanism regula7ng long-range brain dynamics? δ α Dynamical relaying FI SI γ INPUT FI SI β δ α γ phase resetting I I I γ γ γ A testable holis7c model of interdependent, polyrhythmic neural ac7vity unpredicted STIM expected STIM expected STIM expected STIM Baillet, Nature Neuroscience (2017) β
82 Wrap-up: dis7nct roles for dis7nct frequencies
83 Wrap-up: dis7nct roles for dis7nct frequencies
84 Wrap-up: dis7nct roles for dis7nct frequencies δ α: cycles of regional excitability I I
85 Wrap-up: dis7nct roles for dis7nct frequencies δ α: cycles of regional excitability I I β: bursts as expressions of top-down modulations
86 Wrap-up: dis7nct roles for dis7nct frequencies δ α: cycles of regional excitability I I β: bursts as expressions of top-down modulations γ: bursts nested in slower rhythms, bottom-up signaling
87 Wrap-up: dis7nct roles for dis7nct frequencies δ α: cycles of regional excitability I I β: bursts as expressions of top-down modulations γ: bursts nested in slower rhythms, bottom-up signaling higher γ: PSP/AP spiking?
88 Review
89 Signal origins Review
90 Review Signal origins currents induced by spa7o-temporal overlap of post-synap7c poten7als in cell assemblies (cortex and elsewhere)
91 Review Signal origins currents induced by spa7o-temporal overlap of post-synap7c poten7als in cell assemblies (cortex and elsewhere) possible fast spiking ac7vity
92 Review Signal origins currents induced by spa7o-temporal overlap of post-synap7c poten7als in cell assemblies (cortex and elsewhere) possible fast spiking ac7vity Dynamics
93 Review Signal origins currents induced by spa7o-temporal overlap of post-synap7c poten7als in cell assemblies (cortex and elsewhere) possible fast spiking ac7vity Dynamics event-related responses as reseong of ongoing ac7vity
94 Review Signal origins currents induced by spa7o-temporal overlap of post-synap7c poten7als in cell assemblies (cortex and elsewhere) possible fast spiking ac7vity Dynamics event-related responses as reseong of ongoing ac7vity dis7nct roles of typical frequency bands: net excita7on, bozom-up vs top-down signaling, etc
95 Review Signal origins currents induced by spa7o-temporal overlap of post-synap7c poten7als in cell assemblies (cortex and elsewhere) possible fast spiking ac7vity Dynamics event-related responses as reseong of ongoing ac7vity dis7nct roles of typical frequency bands: net excita7on, bozom-up vs top-down signaling, etc a topic of intense research
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