Individualized perturbation of the human connectome reveals reproducible biomarkers of network dynamics relevant to cognition.

ABSTRACT: Large-scale brain networks are often described using resting-state functional magnetic resonance imaging (fMRI). However, the blood oxygenation level-dependent (BOLD) signal provides an indirect measure of neuronal firing and reflects slow-evolving hemodynamic activity that fails to capture the faster timescale of normal physiological function. Here we used fMRI-guided transcranial magnetic stimulation (TMS) and simultaneous electroencephalography (EEG) to characterize individual brain dynamics within discrete brain networks at high temporal resolution. TMS was used to induce controlled perturbations to individually defined nodes of the default mode network (DMN) and the dorsal attention network (DAN). Source-level EEG propagation patterns were network-specific and highly reproducible acro

SUBMITTER: Ozdemir RA 

PROVIDER: S-EPMC7149310 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature