Supplementary Information

Similar documents
Is action potential threshold lowest in the axon?

Sample Lab Report 1 from 1. Measuring and Manipulating Passive Membrane Properties

Supporting Online Material for

SUPPLEMENTARY INFORMATION. Supplementary Figure 1

Dendritic Mechanisms of Phase Precession in Hippocampal CA1 Pyramidal Neurons

Neurons of the Bed Nucleus of the Stria Terminalis (BNST)

Arnaud Ruiz, Emilie Campanac, Ricardo Scott, Dmitri A. Rusakov, Dimitri M. Kullmann

Ivy/Neurogliaform Interneurons Coordinate Activity in the Neurogenic Niche

Supporting Online Material for

SUPPLEMENTARY INFORMATION

CELLULAR NEUROPHYSIOLOGY

Frequency (khz) Intensity (db SPL) Frequency (khz)

Problem Set 3 - Answers. -70mV TBOA

Ube3a is required for experience-dependent maturation of the neocortex

Short- and long-lasting consequences of in vivo nicotine treatment

The Journal of Physiology

Human TRPC6 Ion Channel Cell Line

BIONB/BME/ECE 4910 Neuronal Simulation Assignments 1, Spring 2013

Learning Rules for Spike Timing-Dependent Plasticity Depend on Dendritic Synapse Location

Supralinear increase of recurrent inhibition during sparse activity in the somatosensory cortex

Chapter 6 subtitles postsynaptic integration

Neurobiology: The nerve cell. Principle and task To use a nerve function model to study the following aspects of a nerve cell:

Simulation of myelinated neuron with focus on conduction speed and changeable excitability

The control of spiking by synaptic input in striatal and pallidal neurons

Astrocyte signaling controls spike timing-dependent depression at neocortical synapses

Basics of Computational Neuroscience: Neurons and Synapses to Networks

DOI: /jphysiol The Physiological Society Rapid Report

Supplementary Figure 1. Basic properties of compound EPSPs at

Consequences of sequences: Studies on convergent and divergent elements of neocortical inhibitory microcircuits. Ph.D. thesis.

STRUCTURAL ELEMENTS OF THE NERVOUS SYSTEM

Properties of single voltage-dependent K + channels in dendrites of CA1 pyramidal neurones of rat hippocampus

Different levels of I h determine distinct temporal integration in bursting and regular-spiking neurons in rat subiculum

Enhancement of synaptic transmission by cyclic AMP modulation of presynaptic I h channels. Vahri Beaumont and Robert S. Zucker

JESSY JOHN* and ROHIT MANCHANDA

Prolonged Synaptic Integration in Perirhinal Cortical Neurons

Part 11: Mechanisms of Learning

Cellular/Molecular. The Journal of Neuroscience, February 21, (8):

EE 791 Lecture 2 Jan 19, 2015

The Journal of Physiology

Supplementary Figure 1. GABA depolarizes the majority of immature neurons in the

Brief presynaptic bursts evoke synapse-specific retrograde inhibition mediated by endogenous cannabinoids

Chapter 4 Neuronal Physiology

File name: Supplementary Information Description: Supplementary Figures, Supplementary Table and Supplementary References

Firing Pattern Formation by Transient Calcium Current in Model Motoneuron

Na + K + pump. The beauty of the Na + K + pump. Cotransport. The setup Cotransport the result. Found along the plasma membrane of all cells.

Neurons: Structure and communication

Electrical Properties of Neurons. Steven McLoon Department of Neuroscience University of Minnesota

Axon initial segment position changes CA1 pyramidal neuron excitability

Wenqin Hu, Cuiping Tian, Tun Li, Mingpo Yang, Han Hou & Yousheng Shu

Neuromorphic computing

The action potential travels down both branches because each branch is a typical axon with voltage dependent Na + and K+ channels.

A concurrent excitation and inhibition of dopaminergic subpopulations in response

Intro. Comp. NeuroSci. Ch. 9 October 4, The threshold and channel memory

Bidirectional NMDA receptor plasticity controls CA3 output and heterosynaptic metaplasticity

Selective Shunting of the NMDA EPSP Component by the Slow Afterhyperpolarization in Rat CA1 Pyramidal Neurons

Slow Na Inactivation and Variance Adaptation in Salamander Retinal Ganglion Cells

Dep. Control Time (min)

The Journal of Physiology Neuroscience

Transmission Efficacy and Plasticity in Glutamatergic Synapses Formed by Excitatory Interneurons of the Substantia Gelatinosa in the Rat Spinal Cord

SOMATO-DENDRITIC INTERACTIONS UNDERLYING ACTION POTENTIAL GENERATION IN NEOCORTICAL PYRAMIDAL CELLS

Retinogeniculate Synaptic Properties Controlling Spike Number and Timing in Relay Neurons

Human Brain and Senses

Chapter 2: Cellular Mechanisms and Cognition

Supporting Information

Action potential initiation and propagation in rat neocortical pyramidal neurons

The Subcellular Distribution of T-Type Ca 2+ Channels in Interneurons of the Lateral Geniculate Nucleus

MCB MIDTERM EXAM #1 MONDAY MARCH 3, 2008 ANSWER KEY

Synaptic Integration

Dendritic Signal Integration

Synaptic Transmission: Ionic and Metabotropic

Action potentials propagate down their axon

1) Drop off in the Bi 150 box outside Baxter 331 or to the head TA (jcolas).

NEURONS COMMUNICATE WITH OTHER CELLS AT SYNAPSES 34.3

Unique functional properties of somatostatin-expressing GABAergic neurons in mouse barrel cortex

Nature Methods: doi: /nmeth Supplementary Figure 1. Activity in turtle dorsal cortex is sparse.

Requirements for LTP Induction by Pairing in Hippocampal CA1 Pyramidal Cells

Increased serotonin transporter expression reduces fear and recruitment of. parvalbumin interneurons of the amygdala

Nervous Tissue and Neurophysiology

Neurons! John A. White Dept. of Bioengineering

Introduction to Neurobiology

Applied Neuroscience. Conclusion of Science Honors Program Spring 2017

Frequency-Dependent Modulation of Retinogeniculate Transmission by Serotonin

Ion Channels (Part 2)

Supplementary Information. Errors in the measurement of voltage activated ion channels. in cell attached patch clamp recordings

Dendritic Depolarization Efficiently Attenuates Low-Threshold Calcium Spikes in Thalamic Relay Cells

Simulating inputs of parvalbumin inhibitory interneurons onto excitatory pyramidal cells in piriform cortex

Chapter 5 subtitles GABAergic synaptic transmission

Portions from Chapter 6 CHAPTER 7. The Nervous System: Neurons and Synapses. Chapter 7 Outline. and Supporting Cells

The Journal of Physiology Neuroscience

Intracellular recordings were achieved in the zebra finch using a custom microdrive constructed out of 3D

MOLECULAR AND CELLULAR NEUROSCIENCE

Shunting Inhibition Does Not Have a Divisive Effect on Firing Rates

CHAPTER 44: Neurons and Nervous Systems

Action Potentials Are Required for the Lateral Transmission of Glycinergic Transient Inhibition in the Amphibian Retina

Chapter 11 Introduction to the Nervous System and Nervous Tissue Chapter Outline

Thalamic control of cortical states

DUAL INTRACELLULAR RECORDINGS AND COMPUTATIONAL MODELS OF SLOW INHIBITORY POSTSYNAPTIC POTENTIALS IN RAT NEOCORTICAL AND HIPPOCAMPAL SLICES

12-Lipoxygenase Regulates Hippocampal Long-Term Potentiation by Modulating L-Type Ca 2 Channels

Self-Modulation of Neocortical Pyramidal Neurons by Endocannabinoids

Resonant synchronization of heterogeneous inhibitory networks

Transcription:

Hyperpolarization-activated cation channels inhibit EPSPs by interactions with M-type K + channels Meena S. George, L.F. Abbott, Steven A. Siegelbaum Supplementary Information Part 1: Supplementary Figures 1-5 Part 2: Supplementary Methods

Supplementary Figure 1 a 0 10 20 Vpeak (mv) 30 40 50 60 Eh 0.000 0.001 V 1/2 = 90 mv 0.001 V 1/2 = 80 mv 0.001 V 1/2 = 70 mv b 70 0 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0.04 Synaptic strength g syn (µs) 0 10 20 0.100 0.010 0.001 0.000 Vpeak (mv) 30 40 50 60 70 0 0.005 0.01 0.015 0.02 0.025 0.03 Synaptic strength g syn (µs) Supplementary Figure 1. Relation between V pea k and synaptic strength when I h properties were altered in simple model where I h was the only voltage-gated conductance. (a) Depolarizing shifts in the mid-point voltage of activation (V 1/2 ) of I h resulted in a depolarizing effect on V peak. (b) When the RMP was held fixed at 70 mv by adjusting the passive leak reversal potential, increases in I h had a solely inhibitory effect on V peak.

Supplementary Figure 2 a) 40 45 = 0 V m (mv) 55 65 0.010 0.000 b) c) V m (mv) 62 64 66 68 72 74 76 45 0 40 80 120 160 200 Time (ms) = 0.035 0 40 80 120 160 200 Time (ms) = 0.035 V m (mv) 55 65 75 0 40 80 120 160 200 Time (ms)

Supplementary Figure 2. The effects of Ih on temporal summation during a burst of EPSPs. Membrane voltage response to five synaptic stimuli delivered at 100 Hz in the absence of Ih (black) and in the presence of a fixed level of Ih (blue; = 0.01 S cm-2). (a) Responses in the absence of M-current ( g syn = 0.001 µs). Note depolarizing effect of Ih. (b) Responses in the presence of M-current for a weak synaptic input ( g syn = 0.001 of M-current for a µs). Note depolarizing effect of Ih. (c) Responses in the presence strong synaptic input ( g syn = 0.01 µs). Note inhibitory effect of Ih for EPSPs early in burst. In all panels: M-current V1/ 2 = 35 mv; M-current maximal conductance = 0.035-2 S cm. In these models, the synaptic time constant (τsyn ) was slowed to 10 ms.

Supplementary Figure 3 a) 0 10 = 0.0 20 b) Vpeak (mv) Vpeak (mv) 30 40 0 0.001 0.002 0.003 0.004 0.005 40 45 55 65 = 0.0175 75 0 0.002 0.004 0.006 0.008 0.01 0.010 0.001 0.000 c) 45 = 0.035 Vpeak (mv) 55 65 75 0 0.002 0.004 0.006 0.008 0.01 Synaptic strength of each input g syn (µs)

Supplementary Figure 3. Effects of Ih on peak voltage during a burst of EPSPs in the absence and presence of M-current. Plots of peak voltage during a burst of five EPSPs elicited at 100 Hz as a function of synaptic strength for differing levels of Ih in the absence (a) or presence of two different levels of M-current maximal conductance (b and c). τsyn = 10 ms. M-current V1/ 2 = 35 mv.

Supplementary Figure 4 a RMP (mv) (S cm 2 ) 55 0 0.02 0.04 0.06 0.08 0.1 65 75 b 60 V EPSP (mv) 50 40 30 20 10 0.100 0.010 0.001 0.000 c 10 0 0 0.005 0.01 0.015 0.02 0.025 0.03 Synaptic strength g syn (µs) Vpeak (mv) 20 30 40 0.100 0.010 0.001 0.000 0 0.005 0.01 0.015 0.02 0.025 0.03 Synaptic strength g syn (µs)

Supplementary Figure 4. Ih exerted a purely inhibitory effect on VEPSP and on Vpe ak when RMP was held constant in model also containing a voltage-gated Hodgkin-Huxley K+ conductance. (a) Increasing Ih (V1/ 2 = 90 mv) in the presence of delayed rectifier K+ conductance depolarized the RMP. (b) Increasing Ih diminished the EPSP amplitude ( VEPSP = V pe ak RMP) for all synaptic strengths. Relation of VEPSP and synaptic strength plotted for four different levels of (S cm-2). V1/2 = 90 mv. (c) When the RMP was held fixed at 70 mv by adjusting the passive leak reversal potential, Ih exerted a purely inhibitory effect on Vpeak.

Supplementary Figure 5 50 I h somato-dendritic gradient Proximal excitatory input (250 µm) 20 µm Somatic response gradient (a) (b) (c) 20 µm Soma no 1000 µm 250 µm proximal No in soma or dendrite Uniform level of in soma and dendrite Only somatic No in dendrite Electrodes Local response gradient no 1.5 µm a Vpeak (mv) b Vpeak (mv) c Vpeak (mv) 0 10 20 30 40 0 10 20 30 40 = 0 (S cm 2 ) 80 0 0.02 0.04 0.06 0.08 0.1 80 0 0.02 0.04 0.06 0.08 0.1 0 10 20 30 40 = 0.0175 (S cm 2 ) = 0.0175 (S cm 2 ) 80 0 0.02 0.04 0.06 0.08 0.1 Synaptic strength g syn (µs)

Supplementary Figure 5. Effects of Ih on V pe ak in a multicompartment neuronal model without or with M-type K+ channels. Multicompartment neuronal model with a 50-fold increasing linear dendritic gradient of Ih, a passive leak conductance, and a dendritic excitatory synaptic input located 250 µm from the soma. Effects of Ih on Vpeak shown in the presence of the Ih gradient (red) or in the absence of Ih (black). Dashed lines depict Vpe ak at the dendritic site of synaptic input and solid lines depict Vpe ak at the soma. V1/ 2 = 90 mv for Ih and 35 mv for M-conductance. (a) In the absence of Mconductance, Ih was excitatory for all synaptic input strengths for Vpe ak, both in the dendrite and soma. (b) With a uniform level of maximal M-conductance (0.0175 S cm-2) in the soma and dendrite, Ih produced inhibitory effects on Vpe ak at the dendrite and soma. (c) With M-conductance only present at the soma (0.0175 S cm-2 ), Ih produced inhibitory effects on Vpeak at the soma (solid lines) but only excitatory effects at the dendritic site of synaptic input (dashed lines).

Supplementary Methods Tissue Preparation Horizontal brain slices were prepared from P28 P40 mice. Mice were rapidly decapitated following spinal dislocation. Their brains were rapidly removed and placed in cold (2 C 3 C) modified ACSF containing (in mm): NaCl (10), NaH 2 PO 4 (1.25), KCl (2.5), NaHCO 3 (25), glucose (25), CaCl 2 (0.5), MgCl 2 (7), sucrose (190), and Na-pyruvate (2), continuously bubbled with 95%/5% O 2 /CO 2. The hemisected brain was submerged in cold ACSF and cut into 300 µm sections with a Vibratome 1000. Slices were transferred to standard ACSF at 35 C for 30 45 min and then stored at room temperature (21 C 22 C). Experiments were performed 1.25 7 hr after slice preparation. Electrophysiology Recordings and Solutions The standard ACSF had the following composition (mm): NaCl (125), NaH 2 PO 4 (1.25), KCl (2.5), NaHCO 3 (25), glucose (25), CaCl 2 (2), and MgCl 2 (1). In all experiments, inhibitory transmission was blocked by the GABA A and GABA B receptor antagonists gabazine (2 µm) and CGP-55845 (1 µm), respectively. Whole-cell recordings were obtained from hippocampal CA1 pyramidal cells in submerged slices at 31 C 33 C. Patch pipettes (2.5 5 MΩ) were filled with intracellular solution containing (mm): KMeSO 4 KCH 3 SO 4 (130), KCl (10), HEPES (10), NaCl (4), MgATP (4), Na 2 GTP (0.3), phosphocreatine (10), and EGTA (0.5). Series resistance was less than 40 MΩ and capacitance was fully compensated throughout the experiment. Focal stimulating electrodes (patch pipettes coated with AgCl paint and filled with 1 M NaCl) were used to

apply single, unipolar shocks of 0.1 0.2 ms in duration with a constant current stimulator. For graded stimulation, shock amplitude was adjusted to evoke a response in control conditions and then incremented until spike threshold was reached. These same shock amplitudes were reapplied after addition of ZD7288 and in the same order. Stimuli were separated by 15 seconds. All drugs were obtained from Tocris-Cookson and used at the following concentrations (µm): gabazine (2), CGP-55845 (1), ZD7288 (10 µm), and XE991 (10 µm). Electrophysiological Data Acquisition and Analysis Recordings were obtained using a two-channel Multiclamp 700B amplifier (Molecular Devices, Sunnyvale, CA). Data were digitized on a Windows PC using an ITC-18 A/D board (Instrutech Instruments, Port Washington, NY) controlled by custom routines written in Igor Pro (Wavemetrics, Eugene, OR). All current-clamp data were acquired at 20 khz and low-pass filtered at 4 khz using the Multiclamp 700B Bessel filter. Analysis was performed using custom routines written in Igor Pro. Statistical tests were performed using Excel (Microsoft, Redmond, WA) and Igor Pro. Hyperpolarizing current injections were used to measure the sag. The sag ratio was measured as (1 ΔV ss /ΔV min ) x 100%, where ΔV ss is the steady-state hyperpolarization (relative to resting potential) at the end of the hyperpolarizing pulse and ΔV min is the peak hyperpolarization near the beginning of the current step. The amplitude of the current step was adjusted so that a constant value of V min (between 90 and 95 mv) was

achieved, to assure uniform activation of I h during the hyperpolarization in different cells and under different conditions. Input resistance was determined by injecting a small hyperpolarizing current step of 50 pa for 500 ms from the resting potential and dividing the change in steady-state voltage (ΔV ss ) by the injected current. Computational Modeling A single compartment model (SCM) was implemented and run in NEURON 50 (version 5.9; available at http://www.neuron.yale.edu/neuron). The compartment for the NEURON models had a diameter of 20 µm and a length of 20 µm. The membrane capacitance was set to 1 µf/cm 2. The temperature was set to 33 C. All models contained passive leak conductance, I h -conductance, and a synaptic input. The passive leak had a conductance of 0.3 ms cm -2 and a reversal potential of 70 mv (results were qualitatively similar for a leak reversal potential of 80 mv). The I h -conductance reversal potential was fixed to 30 mv but the maximal conductance was varied as was the V 1/2. The I h - conductance model was taken from previously published models based on experimental data 10, 17. The synaptic input was modeled as an alpha function using the AlphaSyapse feature in NEURON (τ = 1 ms and reversal potential of 0 mv; similar results were obtained with τ = 3 ms) to mimic excitatory synaptic input. Five models were studied containing different K + conductances or altered K + conductance properties. Model 1 contained only a passive leak and I h. Model 2 also included the Hodgkin-Huxley delayed-rectifier K + conductance 35, 37 (K dr ). Model 3 had

the same components as model 2 but with the K dr conductance fixed to its steady-state value at the RMP for the duration of each simulation; this created an infinitely slow K dr (τ Kdr = ). Model 4 also had the same components as model 2 but the K dr conductance reached its steady-state voltage-dependent value without any delay throughout the simulation (τ Kdr = 0); this effectively creates an instantaneous voltage-dependent leak conductance. Model 5 contained a passive leak, I h, and M-type K + conductance. The maximal M-conductance and V 1/2 were varied. The M-conductance model was derived from previously published models 42, 43. The temperature-dependence of the M- conductance model was removed to improve consistency with recent studies 40. The original model used a temperature of 23 C, but the time constant (τ M ) at this temperature was already faster than the kinetics at a temperature near 33 C (the temperature used in our models) indicated by those studies 40. A dimensionless (point process) singlecompartment model using the same conductance parameters was created in C++ and confirmed the results from the NEURON models. Models 1 and 5 were used to study temporal summation. In these models, 5 synaptic conductances (τ = 1 ms and reversal potential of 0 mv) were activated at a frequency of 100 Hz. Each synapse had the same synaptic conductance, which was varied. In addition, the synaptic time constants were also slowed (τ = 10 ms) to assess increased temporal summation, defined as the ratio of the amplitudes of the fifth EPSP to the first EPSP (ΔV EPSP5 / ΔV EPSP1 ). Various synaptic frequencies were also assessed.

Multicompartment models were also implemented and run in NEURON 50 (version 5.9). The soma had the same dimensions as in the SCM. A dendritic cable was added to the soma of length 1000 µm and diameter 1.5 µm. The dendrite was divided into 10 segments. An axial resistance of 150 Ω cm and dendritic membrane capacitance of 1 µf/cm 2 were used. The parameters for the passive leak were the same as used in the SCM. The maximal I h -conductance at the soma was set to 0.001 S cm -2 and a 50-fold increasing linear dendritic gradient of maximal I h -conductance extended to the distal end of the dendrite. The V 1/2 of I h was set to 90 mv. An excitatory synaptic input modeled as an alpha function with the same parameters as in the SCM was placed 250 µm away from the soma, mimicking a proximal input. At that dendritic distance, the maximal I h - conductance was 12.5 that of the soma. Any M-conductance placed in the dendrite was maintained at a uniform level of maximal conductance throughout the dendrite. Three models were created in total: (1) with no M-conductance in any compartment, (2) with only somatic M-conductance, and (3) with a uniform level of somatic and dendritic M- conductance. The M-conductance V 1/2 was set to 35 mv. The maximal M-conductance level was varied and results were qualitatively similar for different levels.