State-dependent activity dynamics of hypothalamic stress effector neurons

  1. Aoi Ichiyama
  2. Samuel Mestern
  3. Gabriel B Benigno
  4. Kaela E Scott
  5. Brian L Allman
  6. Lyle Muller  Is a corresponding author
  7. Wataru Inoue  Is a corresponding author
  1. Graduate Program in Neuroscience, Western University, Canada
  2. Department of Mathematics, Western University, Canada
  3. Brain and Mind Institute, Western University, Canada
  4. Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, Western University, Canada
  5. Robarts Research Institute, Western University, Canada
  6. Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, Western University, Canada
6 figures, 1 table and 1 additional file

Figures

Optogenetic identification of CRHPVN neuron single-unit.

(A) Electrode tract (purple), TdTomato-expressing CRHPVN neurons (red) and ChR2-EYFP (green) expression. (B) An example for an isolated single-unit (blue) that also responded to light (cyan). (C) …

Figure 1—source data 1

Optogenetic identification of CRHPVN neuron single-unit.

https://cdn.elifesciences.org/articles/76832/elife-76832-fig1-data1-v2.xlsx
Figure 2 with 1 supplement
CRHPVN neurons fire in rhythmic bursts and single spikes.

(A) Two distinct spike patterns in a representative single-unit (top: single spikes; bottom: bursts indicated by arrow). (B) Interspike interval (ISI) distribution for the representative single-unit …

Figure 2—source data 1

CRHPVN neurons fire in rhythmic bursts and single spikes.

https://cdn.elifesciences.org/articles/76832/elife-76832-fig2-data1-v2.xlsx
Figure 2—figure supplement 1
Interspike interval (ISI) histograms for all CRHPVN units.

Burst rate (BR) is indicated on the top-right corner of individual histograms. Unit 18 and 30 did not fire bursts and are shown in gray.

Figure 3 with 1 supplement
CRHPVN neurons are constrained to low activity during rhythmic bursting.

(A) Peristimulus time histogram (PSTH) for a representative single-unit responding to sciatic nerve stimulation (1.5 mA, 0.5 ms × 5 pulses at 20 Hz, red line). (B–D) Raster plots for the unit shown …

Figure 3—source data 1

CRHPVN neurons are constrained to low activity during rhythmic bursting.

https://cdn.elifesciences.org/articles/76832/elife-76832-fig3-data1-v2.xlsx
Figure 3—figure supplement 1
Firing pattern changes persist longer with higher intensity nerve stimulations.

Raster plots of a representative single unit responding to different intensities of sciatic nerve stimulations. (A–C) 0.5 mA, (D–F) 1.0 mA, (G–I) 1.5 mA, and (J–L) 2.0 mA. Raster plots for all …

Prolonged silent periods precede burst firing.

(A) Preceding and proceeding interspike interval (ISI) plotted for individual spikes recorded from a representative single-unit. Blue rectangle indicates spikes with proceeding ISI <6 ms. Red …

Figure 5 with 1 supplement
Recurrent inhibitory circuits generate burst firing and gate firing response to excitatory inputs in CRHPVN neurons.

(A) CRH model neuron in silico (black) fitted to current-clamp recordings of CRHPVN neurons ex vivo (red). (B) F-I curves for in silico (black) and ex vivo (red) neurons. (C) Network model diagram. …

Figure 5—source data 1

Recurrent inhibitory circuits generate burst firing and gate firing response to excitatory inputs in CRHPVN neurons.

https://cdn.elifesciences.org/articles/76832/elife-76832-fig5-data1-v2.xlsx
Figure 5—figure supplement 1
The temporal relationship between network and intrinsic properties with burst firing.

(A) Overlay of simulated membrane voltage (Vm; red) of representative traces of burst firing from model neurons (nneurons = 5; nbursts = 10). Note that spikes are truncated to 0 mV in this example. …

Recurrent inhibitory circuits underlie burst firing.

(A) Diagram of ‘network clamp’ experiment. (B–D) Time course of interspike interval (ISI) for a representative model CRH neurons (B), a biological CRHPVN neuron injected with network current (C) and …

Figure 6—source data 1

Recurrent inhibitory circuits underlie burst firing.

https://cdn.elifesciences.org/articles/76832/elife-76832-fig6-data1-v2.xlsx

Tables

Table 1
Parameters for spiking network model.
Neuron parametersMeanSSynapse parametersValue
Number of neurons1000Ee (mV)0
Number of CRH neurons500Ei (mV)–80
Number of GABA neurons500τe (ms)12.5
Capacitance (pF)22.02.6τCRH (ms)232.6
τm (ms)26.02.5τi (ms)20.4
gL (nS)0.90.19we (nS)3.9
T (mV)12.12.0wCRH (nS)0.005
EL (mV)–67.92.9wi (nS)3.3
VT (mV)–47.26.5τbr (s)40
VR (mV)–58.82.5τp (s)80
τw (ms)98.254.3
a (nS)0.0820.13
b (pA)17.99.8

Additional files

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