Dynamic Balance of Excitation and Inhibition in Human and Monkey Neocortex

Balance of excitation and inhibition is a fundamental feature of in vivo network activity and is important for its computations. However, its presence in the neocortex of higher mammals is not well established. We investigated the dynamics of excitation and inhibition using dense multielectrode reco...

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Bibliographic Details
Published in:Scientific reports 2016-03, Vol.6 (1), p.23176-23176, Article 23176
Main Authors: Dehghani, Nima, Peyrache, Adrien, Telenczuk, Bartosz, Le Van Quyen, Michel, Halgren, Eric, Cash, Sydney S., Hatsopoulos, Nicholas G., Destexhe, Alain
Format: Article
Language:English
Subjects:
631/378/116/2393
631/378/1689
639/766/747
Action Potentials
Animals
Cognitive Sciences
Computational neuroscience
Computer Simulation
Cortical Excitability
Haplorhini
Humanities and Social Sciences
Humans
Life Sciences
Models, Neurological
multidisciplinary
Neocortex
Neocortex - physiopathology
Neurobiology
Neurons
Neurons and Cognition
Neurosciences
Psychology and behavior
Science
Seizures
Seizures - physiopathology
Sleep
Sleep and wakefulness
Sleep, REM
Sleep, REM - physiology
Wakefulness
Wakefulness - physiology
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Summary:Balance of excitation and inhibition is a fundamental feature of in vivo network activity and is important for its computations. However, its presence in the neocortex of higher mammals is not well established. We investigated the dynamics of excitation and inhibition using dense multielectrode recordings in humans and monkeys. We found that in all states of the wake-sleep cycle, excitatory and inhibitory ensembles are well balanced and co-fluctuate with slight instantaneous deviations from perfect balance, mostly in slow-wave sleep. Remarkably, these correlated fluctuations are seen for many different temporal scales. The similarity of these computational features with a network model of self-generated balanced states suggests that such balanced activity is essentially generated by recurrent activity in the local network and is not due to external inputs. Finally, we find that this balance breaks down during seizures, where the temporal correlation of excitatory and inhibitory populations is disrupted. These results show that balanced activity is a feature of normal brain activity and break down of the balance could be an important factor to define pathological states.
ISSN:2045-2322
2045-2322
DOI:10.1038/srep23176