Multimodal fusion in neuroimaging combines data from multiple imaging modalities to
overcome the fundamental limitations of individual modalities. Neuroimaging fusion can …

Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …

Alzheimer's disease (AD) is an irreversible neurodegenerative disease characterized by
thinking, behavioral and memory impairments. Early prediction of conversion from mild …

Alzheimer's disease (AD) has become a serious hazard to human health in recent years,
and proper screening and diagnosis of AD remain a challenge. Multimodal neuroimaging …

Prior studies of aging and Alzheimer disease have evaluated resting state functional
connectivity (FC) using either seed-based correlation (SBC) or independent component …

The neuroimaging method of multimodal magnetic resonance imaging (MRI) can identify the
changes in brain structure and function caused by Alzheimer's disease (AD) at different …

Using the Pearson correlation coefficient to constructing functional brain network has been
evidenced to be an effective means to diagnose different stages of mild cognitive impairment …

Alzheimer's disease (AD) is the most prevalent clinically diagnosed neurodegenerative
disorder. Early detection of mild cognitive impairment (MCI) is crucial for implementing …

Background Diagnosis of early mild cognitive impairment (EMCI) as a prodromal stage of
Alzheimer's disease (AD) with its delineation from the cognitively normal (CN) group …

Objective We aimed to reveal the role of structural and functional alterations of cingulate
gyrus in early cognitive impairment in Type 2 diabetes mellitus (T2DM) patients. Methods …