Neural Interactions in a Spatially-Distributed Cortical Network During Perceptual Decision-Making

Author(s)

Maksimenko, Vladimir A. ^[1] ; Frolov, Nikita S. ^[1] ; Hramov, Alexander E. ^[1] ; Runnova, Anastasia E. ^[1] ; Grubov, Vadim V. ^[1] ; Kurths, Juergen ^{[2, 3, 4]} ; Pisarchik, Alexander N. ^{[5, 1]}

Affiliation

^[1] Innopolis Univ, Ctr Technol Robot & Mechatron Components, Neurosci & Cognit Technol Lab, Innopolis - Russia

^[2] Humboldt Univ, Dept Phys, Berlin - Germany

^[3] Potsdam Inst Climate Impact Res, Res Domain Complex Sci 4, Potsdam - Germany

^[4] Saratov NG Chernyshevskii State Univ, Fac Biol, Saratov - Russia

^[5] Tech Univ Madrid, Ctr Biomed Technol, Madrid - Spain

• Document type: Journal article
• Source: FRONTIERS IN BEHAVIORAL NEUROSCIENCE; v. 13, SEP 24 2019.
• Web of Science Citations: 0

Abstract

Behavioral experiments evidence that attention is not maintained at a constant level, but fluctuates with time. Recent studies associate such fluctuations with dynamics of attention-related cortical networks, however the exact mechanism remains unclear. To address this issue, we consider functional neuronal interactions during the accomplishment of a reaction time (RT) task which requires sustained attention. The participants are subjected to a binary classification of a large number of presented ambiguous visual stimuli with different degrees of ambiguity. Generally, high ambiguity causes high RT and vice versa. However, we demonstrate that RT fluctuates even when the stimulus ambiguity remains unchanged. The analysis of neuronal activity reveals that the subject's behavioral response is preceded by the formation of a distributed functional network in the beta-frequency band. This network is characterized by high connectivity in the frontal cortex and supposed to subserve a decision-making process. We show that neither the network structure nor the duration of its formation depend on RT and stimulus ambiguity. In turn, RT is related to the moment of time when the beta-band functional network emerges. We hypothesize that RT is affected by the processes preceding the decision-making stage, e.g., encoding visual sensory information and extracting decision-relevant features from raw sensory information. (AU)

• FAPESP's process: 15/50122-0 - Dynamic phenomena in complex networks: basics and applications
• Grantee: Elbert Einstein Nehrer Macau
• Support Opportunities: Research Projects - Thematic Grants