Individualized perturbation of the human connectome reveals reproducible biomarkers of network dynamics relevant to cognition.
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 across sessions 1 month apart. Additionally, individual differences in high-order cognitive abilities were significantly correlated with the specificity of TMS propagation patterns across DAN and DMN, but not with resting-state EEG dynamics. Findings illustrate the potential of TMS-EEG perturbation-based biomarkers to characterize network-level individual brain dynamics at high temporal resolution, and potentially provide further insight on their behavioral significance.
['Ozdemir|Recep A|RA|', 'Tadayon|Ehsan|E|', 'Boucher|Pierre|P|', 'Momi|Davide|D|', 'Karakhanyan|Kelly A|KA|', 'Fox|Michael D|MD|', 'Halko|Mark A|MA|', 'Pascual-Leone|Alvaro|A|0000-0001-8975-0382', 'Shafi|Mouhsin M|MM|', 'Santarnecchi|Emiliano|E|0000-0002-6533-7427']
D000328:Adult D001921:Brain D003071:Cognition D063132:Connectome D004569:Electroencephalography D064368:Healthy Volunteers D006801:Humans D008279:Magnetic Resonance Imaging D008875:Middle Aged D009415:Nerve Net D050781:Transcranial Magnetic Stimulation D055815:Young Adult
cognition fMRI TMS-EEG resting-state networks