Validation of an electroencephalography data assimilation-based computational approach for estimating cortical excitation-inhibition balance.

ABSTRACT: The excitation and inhibition (E/I) balance of neural circuits is a crucial index of neurophysiological homeostasis associated with healthy brain functioning. Although several cutting-edge methods exist to assess E/I balance in an intact brain, they have inherent limitations, such as difficulties in tracking changes in E/I balance over time. To address this, we introduced neural-mass-model-based tracking using a data assimilation (DA) approach. While we previously demonstrated that sleep-dependent E/I changes could be estimated from electroencephalography (EEG) data, the neurophysiological validity of this method had not been directly evaluated. In this study, we developed an enhanced DA-based method and compared its E/I estimates with the concurrent transcranial magnetic stimulation and e

SUBMITTER: Yokoyama H 

PROVIDER: S-EPMC12635317 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature