Work

Self-Regulated Dynamical Criticality in Human ECoG

Year: 2012

Type: article

Abstract: Mounting experimental and theoretical results indicate that neural systems are poised near a critical state. In human subjects, however, most evidence comes from functional MRI studies, an indirect measurement of neuronal activity with poor temporal resolution. Electrocorticography (ECoG) provides a unique window into human brain activity: each electrode records, with high temporal resolution, the activity resulting from the sum of the local field potentials of ∼10(5) neurons. We show that the human brain ECoG recordings display features of self-regulated dynamical criticality: dynamical modes of activation drift around the critical stability threshold, moving in and out of the unstable region and equilibrating the global dynamical state at a very fast time scale. Moreover, the analysis also reveals differences between the resting state and a motor task, associated with increased stability of a fraction of the dynamical modes.

Source: Frontiers in Integrative Neuroscience

DOI: 10.3389/fnint.2012.00044

Authors: Guillermo Solovey, Kai J. Miller, Jeffrey G. Ojemann, Marcelo O. Magnasco, Guillermo A. Cecchi

Institutions: Columbia University, Rockefeller University, University of Washington, IBM (United States), IBM Research - Thomas J. Watson Research Center

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,801