Parkinson's disease (PD) is the most common neurological disorder, after Alzheimer's
disease, and is characterized by a long prodromal stage lasting up to 20 years. As age is a …

Accurate diagnosis of mild cognitive impairment (MCI) before conversion to Alzheimer's
disease (AD) is invaluable for patient treatment. Many works showed that MCI and AD affect …

The advent of eXplainable Artificial Intelligence (XAI) has revolutionized the way human
experts, especially from non-computational domains, approach artificial intelligence; this is …

Diagnosis of brain dementia, particularly early mild cognitive impairment (eMCI), is critical
for early intervention to prevent the onset of Alzheimer's disease, where cognitive decline is …

Increasing evidence indicates that acupuncture can modulate neural system dynamic and
brain activity. Except for within-frequency coupling (WFC), cross-frequency coupling (CFC) …

Objective: Recent studies have shown that complex networks along with diffusion weighted
imaging (DWI) can be efficient and promising techniques for early detection of structural …

Alzheimer's disease (AD) is the most common form of dementia among older people and
increasing longevity ensures its prevalence will rise even further. Whether AD originates by …

The majority of works using brain connectomics for dementia diagnosis heavily relied on
using structural (diffusion MRI) and functional brain connectivity (functional MRI). However …

This paper presented a novel complex network with one-way ANOVA F-test feature selection
to diagnose early-stage Parkinson's disease (PD) on quantitative susceptibility mapping …

Cognitive impairment has mainly two, non mutually exclusive, etiologies: structural or
connectivity lesions. Analogously, we present here a methodology aimed at investigating …