The use of neuroimaging examinations is crucial in Alzheimer's disease (AD), in both
research and clinical settings. Over the years, magnetic resonance imaging (MRI)–based …

Abstract Alzheimer's disease (AD), the predominant form of dementia, is a growing global
challenge, emphasizing the urgent need for accurate and early diagnosis. Current clinical …

Background The differential diagnosis of frontotemporal dementia (FTD) and Alzheimer's
disease (AD) is difficult due to the overlaps of clinical symptoms. Structural magnetic …

Introduction We compared the machine learning‐derived, MRI‐based Alzheimer's disease
(AD) resemblance atrophy index (AD‐RAI) with plasma neurofilament light chain (NfL) level …

Background Automated brain volumetry has been widely used to assess brain volumetric
changes that may indicate clinical states and progression. Among the tools that implement …

Background White matter hyperintensities (WMHs) and regional brain lobe atrophy coexist
in the brain of patients with Alzheimer's disease (AD), but the association between them in …

Evidence on the relationship between periodic limb movements during sleep (PLMS) and
cerebral small vessel disease is lacking. This study aimed to assess the association …

Alzheimer disease (AD) exhibits spatially heterogeneous 3-or 4-repeat tau deposition
across participants. Our overall goal was to develop an automated method to quantify the …

Background: Magnetic resonance imaging (MRI) provides objective information about brain
structural atrophy in patients with Alzheimer's disease (AD). This multi-structural atrophic …

Alzheimer's Disease-resemblance atrophy index (AD-RAI) is an MRI-based machine
learning derived biomarker that was developed to reflect the characteristic brain atrophy …