Resting state functional connectivity (rs-fMRI) is impaired early in persons who subsequently
develop Alzheimer's disease (AD) dementia. This impairment may be leveraged to aid …

Population-level modeling can define quantitative measures of individual aging by applying
machine learning to large volumes of brain images. These measures of brain age, obtained …

Predicting biomedical outcomes from Magnetoencephalography and
Electroencephalography (M/EEG) is central to applications like decoding, brain-computer …

Electrophysiological methods, that is M/EEG, provide unique views into brain health. Yet,
when building predictive models from brain data, it is often unclear how electrophysiology …

Background Altered neuronal excitation–inhibition (E–I) balance is strongly implicated in
ASD. However, it is not known whether the direction and degree of changes in the E–I ratio …

Scientists have developed hundreds of techniques to measure the interactions between
pairs of processes in complex systems, but these computational methods—from …

Accumulating evidence across species indicates that brain oscillations are superimposed
upon an aperiodic 1/f-like power spectrum. Maturational changes in neuronal oscillations …

Magnetoencephalography and electroencephalography (M/EEG) can reveal neuronal
dynamics non-invasively in real-time and are therefore appreciated methods in medicine …

Most of the studies employing neuroimaging have focused on cortical and subcortical
signals individually to obtain neurophysiological signatures of cognitive functions. However …

Neuronal oscillations are suggested to play an important role in auditory working memory
(WM), but their contribution to content-specific representations has remained unclear. Here …