Noninvasive brain stimulation techniques (NiBS) have gathered substantial interest in the
study of dementia, considered their possible role in help defining diagnostic biomarkers of …

In recent years, advances in neuroscience and artificial intelligence have paved the way for
unprecedented opportunities to understand the complexity of the brain and its emulation …

Automatic algorithms for disease diagnosis are being thoroughly researched for use in
clinical settings. They usually rely on pre-identified biomarkers to highlight the existence of …

Brain imaging with diffusion-weighted MRI (dMRI) is sensitive to microstructural white matter
(WM) changes associated with brain aging and neurodegeneration. In its third phase, the …

The ability to control network dynamics is essential for ensuring desirable functionality of
many technological, biological, and social systems. Such systems often consist of a large …

Objective. Transcranial temporally interfering stimulation (tTIS) is a noninvasive
neuromodulation method, which has been reported to be able to affect the activity of small …

Neuronal dysfunction and cognitive deterioration in Alzheimer's disease (AD) are likely
caused by multiple pathophysiological factors. However, mechanistic evidence in humans …

Alzheimer's disease (AD) is a degenerative brain disease, and the condition is difficult to
assess. In the past, numerous brain dynamics models have made remarkable contributions …

The identification of community structure in graphs continues to attract great interest in
several fields. Network neuroscience is particularly concerned with this problem considering …

The communicability distance between pairs of regions in human brain is used as a
quantitative proxy for studying Alzheimer's disease. Using this distance, we obtain the …