• Aucun résultat trouvé

Investigating the effects of propofol-induced tonic inhibition on rhythmic neural activity in a hippocampal interneuron network

N/A
N/A
Protected

Academic year: 2021

Partager "Investigating the effects of propofol-induced tonic inhibition on rhythmic neural activity in a hippocampal interneuron network"

Copied!
2
0
0

Texte intégral

(1)

HAL Id: hal-01191426

https://hal.inria.fr/hal-01191426

Submitted on 12 Nov 2015

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Copyright

Investigating the effects of propofol-induced tonic inhibition on rhythmic neural activity in a hippocampal

interneuron network

Francesco Giovannini, Jean-Baptiste Schneider, Laure Buhry

To cite this version:

Francesco Giovannini, Jean-Baptiste Schneider, Laure Buhry. Investigating the effects of propofol- induced tonic inhibition on rhythmic neural activity in a hippocampal interneuron network. Eleventh Bernstein Conference 2015, Sep 2015, Heidelberg, Germany. Proceedings of the Eleventh Bernstein Conference 2015, 2015. �hal-01191426�

(2)

Investigating the effects of propofol-induced tonic

inhibition on rhythmic neural activity in a hippocampal interneuron network

Francesco Giovannini 1* , Jean-Baptiste Schneider 1 , Laure Buhry 1

1 Neurosys Team, INRIA, LORIA, Université de Lorraine, CNRS, Nancy, France

* [email protected]

Motivation

• Propofol-induced sedation is achieved by positively modulating GABAergic inhibitory activity [1]

• Synaptic and extrasynaptic GABA A receptors are ubiquitous in the brain [2]

GABAergic hippocampal interneurons have been shown capable of generating and maintaining γ -band (20 − 80) Hz rhythmic neural activity [3]

γ -band oscillations are thought to underlie long-term memory consolidation [4]

• We study the effect of the propofol-induced extrasynaptic GABAergic modulation [5] on such self-emerging synchronous activity

Neuron Model

• Neuron Model:

C m · dV

dt = −I LI KI N aI SynI SynT onic + I Stim

• Hodgkin-Huxley Currents and Stimulation:

I Leak = f (V m ) I K = f (V m , n 4 ) I N a = f (V m , m 3 , h) I Stim = 0.4 nA

Synapses and Propofol

Schematic of GABA (orange) binding on synaptic and extrasynaptic receptors causing Cl

ion influx in the postsynaptic neuron. Extrasynaptic GABA receptors mediate tonic inhibition, and are potentiated by extracellular propofol (red). Propofol also binds on synaptic GABA receptors (not modelled in the present work, thus not shown).

• Inhibitory Postsynaptic (Phasic) Current:

I Syn = −g i · (V mE i ) dg i

dt = − g i

τ i g ig i + w ii

• Inhibitory Extrasynaptic (Tonic) Current [5]:

I SynT onic = −g t · (V mE i ) g t ∝ [C 12 H 18 O] o (propofol)

• Network Topology:

N = 100 (neurons) ρ = 0.6 (connection probability)

• Network Synchronisation Measure [3]:

κ i,j (τ ) =

P L

l=1 X i (l)Y j (l) q

P L

l=1 X i (l) P L l=1 Y j (l)

κ(τ ) =

P N i=1

P N

j =1 κ i,j (τ )

N 2 0 ≤ κ(τ ) ≤ 1

X i (l), Y j (l) ∈ {0, 1} l = 0, 1, 2, ..., L L = t sim

τ τ = 10 ms

Results – γ -band Synchronisation

0 100 200 300 400 500 600 700 800 900 1000

0 20 40 60 80 100

Population activity for g

t = 0 nS

Time (ms)

Neurons

0 100 200 300 400 500 600 700 800 900 1000

0 10 20 30

Population Firing Rate

Time (ms)

Frequency (Hz)

Networks of Hippocampal interneurons display synchronous activity with a value of κ(τ ) = 0.4, in the γ -band at an oscillatory frequency of f

osc

' 25 Hz , when subject to a constant stimulation, in the absence of propofol.

Results – Increasing Anaesthetic Dosage

0 100 200 300 400 500 600 700 800 900 1000

0 20 40 60 80 100

Population activity for g

t = 18 nS

Time (ms)

Neurons

0 100 200 300 400 500 600 700 800 900 1000

0 20 40

Population Firing Rate

Time (ms)

Frequency (Hz)

Increasing the dosage of propofol to g

t

= 18 nS causes stronger synchrony amongst the neurons in the network κ(τ ) = 0.8, while slowing down the oscillatory activity to a frequency of f

osc

' 15 Hz.

0 100 200 300 400 500 600 700 800 900 1000

0 20 40 60 80 100

Population activity for g

t = 21 nS

Time (ms)

Neurons

0 100 200 300 400 500 600 700 800 900 1000

0 10 20

Population Firing Rate

Time (ms)

Frequency (Hz)

Increasing the dosage of propofol to g

t

≥ 21 nS weakens the synchrony amongst the neurons in the network κ(τ ) = 0.2, and slows down the oscillatory activity to a frequency of f

osc

' 10 Hz .

Results – Propofol Synchrony and Oscillations

0 2 4 6 8 10 12 14 16 18 20 22

0 0.2 0.4 0.6 0.8 1

Mean Population Synchrony - κ(τ)

Coherence - K

Tonic (Extrasynaptic) Conductance (nS)

0 2 4 6 8 10 12 14 16 18 20 22

0 5 10 15 20

Mean Population Firing Rate

Firing Rate (Hz)

Tonic (Extrasynaptic) Conductance (nS)

0 2 4 6 8 10 12 14 16 18 20 22

0 10 20 30 40 50

Mean Population Oscillation Frequency

Oscillations (Hz)

Tonic (Extrasynaptic) Conductance (nS)

Increasing the propofol dosage – by acting on the tonic conductance g

t

– causes the overall activity of the network to decrease, until a critical value of g

t

= 14 nS at which both the network synchronisation and firing rate increase. When

the concentration value reaches a value of g

t

≥ 21 nS the activity, synchronous or otherwise, fades out.

Conclusion

• Anaesthetics target both synaptic and extrasynaptic GABA A receptors

Increasing the dosage of anaesthetic agents can strengthen synchronous activity in networks of hippocampal neurons

• Paradoxical excitation behaviours might be mediated by the effects of anaesthetics on extrasynaptic GABA A receptors

References

[1] C. Vanlersberghe and F. Camu, “Propofol,” in Modern Anesthetics: Handbook of Experimental Pharmacology (J. Schüttler and H. Schwilden, eds.), no. 182, pp. 227–252, Springer Verlag, 2008.

[2] D. Belelli, N. L. Harrison, J. Maguire, R. L. Macdonald, M. C. Walker, and D. W. Cope, “Extrasynaptic GABAA receptors: form, pharmacology, and function.,”

The Journal of Neuroscience : the official journal of the Society for Neuroscience, vol. 29, pp. 12757–63, Oct. 2009.

[3] X.-J. Wang and G. Buzsáki, “Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model.,” The Journal of Neuroscience : the official journal of the Society for Neuroscience, vol. 16, pp. 6402–13, Oct. 1996.

[4] N. Axmacher, F. Mormann, G. Fernández, C. E. Elger, and J. Fell, “Memory formation by neuronal synchronization.,” Brain research reviews, vol. 52, pp. 170–82, Aug. 2006.

[5] A. Hutt and L. Buhry, “Study of GABAergic extra-synaptic tonic inhibition in single neurons and neural populations by traversing neural scales: application to propofol-induced anaesthesia.,” Journal of computational neuroscience, vol. 37, pp. 417–37, Dec. 2014.

Références

Documents relatifs

We consider a neurogram to be produced by a LF rhythm central pattern generator (LF-CPG) if all interburst intervals recorded on the in vitro isolated hindbrain preparation are

In the application of neural network, we need to input a large number of training data and output the training process and the training results, which requires a higher demand of

On a une relation lin´ eaire entre le taux de consommation du pr´ edateur et la densit´ e de la proie, autrement dit la pr´ edation est proportionnelle ` a l’abondance de la

tions moléculaires sur les mêmes échantillons nous ont permis d’identifier les fragments ca- ractéristiques des accélérateurs CBS et DCBS présents dans le caoutchouc, comme on

We note that the latter should exhibit cutoff since the product condition holds, as can be seen from the fact that the conductance of sparse random graphs with a given degree

Ce chapitre du rapport annuel du Conseil s’articule autour de quatre axes : mettre en place les conditions nécessaires ; connaître et reconnaître ce qui se fait déjà ;

Il existe une réelle progression des apprentissages entre le temps 1 (test initial) et le temps 2 (post-test) et ce pour les deux groupes d’élèves, mais cette différence

Based on our previous work with o-phenylenediamine (OPD) for the optimized spectrophotometric quantification of horseradish peroxidase (HRP) [ 9 ], we developed a simple enzymatic