Trial Outcomes & Findings for Investigating Electroencephalographic Predictors of Default Mode Network Anticorrelation in Healthy Adults (NCT NCT05592600)

Potential participants were excluded from the study if they were unable to provide consent, reported having a current or history of psychiatric/neurological disorders, a chronic medical condition, were pregnant, were prisoners, were unable to understand English, had metal in the body, were contraindicated for MRI, had allergies to saline gel, or had cold, flu or COVID-19 symptoms within the two weeks preceding participation.

Investigating Electroencephalographic Predictors of Default Mode Network Anticorrelation in Healthy Adults

The investigators determined the degree to which features within EEG signals can approximate fMRI (default mode network activation) while participants performed cognitive tasks and brain activity was recorded with simultaneous EEG-fMRI. Model predictions (EEG prediction of fMRI) within each participant were generated from multiple EEG features, including spectral power in different frequency bands (Theta: 4-7 Hz, Alpha: 8-12 Hz, Beta1: 13-22 Hz, Beta2: 23-29 Hz, Gamma: 30-50 Hz). The average temporal correlation across the two sessions was computed between EEG and fMRI. A higher correlation indicated that EEG was more predictive of fMRI, whereas a lower correlation indicated EEG was less predictive of fMRI.