Neural effects of dopaminergic compounds revealed by multi-site electrophysiology and interpretable machine-learning.

ABSTRACT:

Background

Neuropsychopharmacological compounds may exert complex brain-wide effects due to an anatomically and genetically broad expression of their molecular targets and indirect effects via interconnected brain circuits. Electrophysiological measurements in multiple brain regions using electroencephalography (EEG) or local field potential (LFP) depth-electrodes may record fingerprints of such pharmacologically-induced changes in local activity and interregional connectivity (pEEG/pLFP). However, in order to reveal such patterns comprehensively and potentially derive mechanisms of therapeutic pharmacological effects, both activity and connectivity have to be estimated for many brain regions. This entails the problem that hundreds of electrophysiological parameters are deri

SUBMITTER: Kapanaiah SKT 

PROVIDER: S-EPMC11263031 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature