Abstract The Organization for Human Brain Mapping (OHBM) has been active in advocating
for the instantiation of best practices in neuroimaging data acquisition, analysis, reporting …

Electroencephalography (EEG) is a non-invasive measurement method for brain activity.
Due to its safety, high resolution, and hypersensitivity to dynamic changes in brain neural …

Objective. The use of deep learning for electroencephalography (EEG) classification tasks
has been rapidly growing in the last years, yet its application has been limited by the …

Deep brain stimulation (DBS) of the subcallosal cingulate (SCC) can provide long-term
symptom relief for treatment-resistant depression (TRD). However, achieving stable recovery …

Oscillatory activity in the brain has been associated with a wide variety of cognitive
processes including decision making, feedback processing, and working memory. The high …

ABSTRACT M/EEG research using naturally spoken stories as stimuli has focused largely
on speech and not language processing. The temporal resolution of M/EEG is a two-edged …

Despite being the focus of a thriving field of research, the biological mechanisms that
underlie information integration in the brain are not yet fully understood. A theory that has …

Human anterior and posterior hippocampus (aHC, pHC) differ in connectivity and behavioral
correlates. Here we report physiological differences in humans of both sexes. During NREM …

Changes in the frequency composition of the human electroencephalogram are associated
with the transitions to epileptic seizures. Cross-frequency coupling (CFC) is a measure of …

Here we demonstrate the suitability of a local mutual information measure for estimating the
temporal dynamics of cross-frequency coupling (CFC) in brain electrophysiological signals …