On the complexity of resting state spiking activity in monkey motor cortex

Dąbrowska, Paulina Anna; Dahmen, David; Riehle, Alexa; von Papen, Michael; Voges, Nicole; Brochier, Thomas; Grün, Sonja; Ito, Junji

doi:10.1093/texcom/tgab033

Journal Article

FZJ-2021-01922

On the complexity of resting state spiking activity in monkey motor cortex

Dąbrowska, P. A. (Corresponding author)FZJ*RWTH* ; Voges, N. ; von Papen, M. ; Ito, J.FZJ* ; Dahmen, D.FZJ* ; Riehle, A.FZJ*AMU* ; Brochier, T.AMU* ; Grün, S.FZJ*RWTH*

2021
Oxford University Press Oxford

Cerebral Cortex Communications 2(3), tgab033 (2021) [10.1093/texcom/tgab033]

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Please use a persistent id in citations: http://hdl.handle.net/2128/28448 doi:10.1093/texcom/tgab033

Abstract: Resting state has been established as a classical paradigm of brain activity studies, mostly based on large scale measurements such as fMRI or M/EEG. This term typically refers to a behavioral state characterized by the absence of any task or stimuli. The corresponding neuronal activity is often called idle or ongoing. Numerous modeling studies on spiking neural networks claim to mimic such idle states, but compare their results to task– or stimulus-driven experiments, or to results from experiments with anesthetized subjects. Both approaches might lead to misleading conclusions. To provide a proper basis for comparing physiological and simulated network dynamics, we characterize simultaneously recorded single neurons' spiking activity in monkey motor cortex at rest and show the differences from spontaneous and task– or stimulus-induced movement conditions. We also distinguish between rest with open eyes and sleepy rest with eyes closed. The resting state with open eyes shows a significantly higher dimensionality, reduced firing rates and less balance between population level excitation and inhibition than behavior-related states.

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