Precision data-driven modeling of cortical dynamics reveals person-specific mechanisms underpinning brain electrophysiology

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 122; no. 3; p. e2409577121
• Main Authors: Singh, Matthew F., Braver, Todd S., Cole, Michael, Ching, ShiNung
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 21.01.2025
• Subjects: Algorithms; Alpha Rhythm - physiology; Beta Rhythm - physiology; Biological Sciences; Brain; Brain - physiology; Cerebral Cortex - physiology; EEG; Electroencephalography; Electrophysiology; Frequency variation; Humans; Models, Neurological; Nerve Net - physiology; Oscillations; Predictions; Topology; attractors; MEG; brain dynamics; resting-state; individual differences

Task-free brain activity affords unique insight into the functional structure of brain network dynamics and has been used to identify neural markers of individual differences. In this work, we present an algorithmic optimization framework that directly inverts and parameterizes brain-wide dynamical-...