The scientists are dedicated to studying the detection of Alzheimer's disease onset to find a
cure, or at the very least, medication that can slow the progression of the disease. This …

Background Alzheimer's disease (AD) is a neurodegenerative disorder with significant
heterogeneity. Different AD phenotypes may be associated with specific brain network …

Alzheimer's disease (AD) is the most common cause of dementia, marked by cognitive
decline and memory loss. Recently, machine learning and deep learning techniques have …

Recent researchers have been drawn to the analysis of electroencephalogram (EEG)
signals in order to confirm the disease and severity range by viewing the EEG signal which …

Alzheimer's disease (AD) is a common neurodegeneration disease associated with
substantial disruptions in the brain network. However, most studies investigated static …

Growing evidence indicates that amyloid-beta (Aβ) accumulation is one of the most common
neurobiological biomarkers in Alzheimer's disease (AD). The primary aim of this study was …

In this article, we propose a novel wavelet convolution unit for the image-oriented neural
network to integrate wavelet analysis with a vanilla convolution operator to extract deep …

Background Alzheimer's disease (AD), which has been identified as the most common type
of dementia, presents considerable heterogeneity in its clinical manifestations. Early …

Alzheimer's disease (AD) is associated with the impairment of white matter (WM) tracts. The
current study aimed to verify the utility of WM as the neuroimaging marker of AD with …

Background: There is a shortage of clinicians with sufficient expertise in the diagnosis of
Alzheimer's disease (AD), and cerebrospinal fluid biometric collection and positron emission …