Machine learning for the classification of Alzheimer's disease and its prodromal stage using brain diffusion tensor imaging data: a systematic review
Alzheimer's disease is notoriously the most common cause of dementia in the elderly,
affecting an increasing number of people. Although widespread, its causes and progression …
affecting an increasing number of people. Although widespread, its causes and progression …
Automated three-dimensional major white matter bundle segmentation using diffusion magnetic resonance imaging
White matter bundle segmentation using diffusion magnetic resonance imaging fiber
tractography enables detailed evaluation of individual white matter tracts three …
tractography enables detailed evaluation of individual white matter tracts three …
Structural and functional connectivity abnormalities of the default mode network in patients with Alzheimer's disease and mild cognitive impairment within two …
B Zhou, X Dou, W Wang, H Yao, F Feng, P Wang… - Methods, 2022 - Elsevier
Alzheimer's disease (AD) is a chronic neurodegenerative disease characterized by
progressive dementia, and amnestic mild cognitive impairment (aMCI) has been defined as …
progressive dementia, and amnestic mild cognitive impairment (aMCI) has been defined as …
Altered white matter connectivity of ventral language networks in autism spectrum disorder: An automated fiber quantification analysis with multi-site datasets
M Li, M Izumoto, Y Wang, Y Kato, Y Iwatani, I Hirata… - Neuroimage, 2024 - Elsevier
Comprehension and pragmatic deficits are prevalent in autism spectrum disorder (ASD) and
are potentially linked to altered connectivity in the ventral language networks. However …
are potentially linked to altered connectivity in the ventral language networks. However …
An ensemble learning approach based on diffusion tensor imaging measures for Alzheimer's disease classification
Recent advances in neuroimaging techniques, such as diffusion tensor imaging (DTI),
represent a crucial resource for structural brain analysis and allow the identification of …
represent a crucial resource for structural brain analysis and allow the identification of …
Psychoradiological abnormalities in treatment‐naive noncomorbid patients with posttraumatic stress disorder
Background Neuroimaging studies in posttraumatic stress disorder (PTSD) have identified
various alterations in white matter (WM) microstructural organization. However, it remains …
various alterations in white matter (WM) microstructural organization. However, it remains …
Specific white matter tracts and diffusion properties predict conversion from mild cognitive impairment to Alzheimer's disease
Identifying biomarkers that can assess the risk of developing Alzheimer's Disease (AD)
remains a significant challenge. In this study, we investigated the integrity levels of brain …
remains a significant challenge. In this study, we investigated the integrity levels of brain …
Quantitative radiomic features as new biomarkers for Alzheimer's disease: An amyloid PET study
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 …
neurobiological biomarkers in Alzheimer's disease (AD). The primary aim of this study was …
Deep learning methods for early detection of Alzheimer's disease using structural MR images: A survey
In this paper, we present an extensive review of the most recent works on Alzheimer's
disease (AD) prediction, focusing on Moderate Cognitive Impairment (MCI) conversion …
disease (AD) prediction, focusing on Moderate Cognitive Impairment (MCI) conversion …
Hippocampus-and thalamus-related fiber-specific white matter reductions in mild cognitive impairment
Early diagnosis of mild cognitive impairment (MCI) fascinates screening high-risk
Alzheimer's disease (AD). White matter is found to degenerate earlier than gray matter and …
Alzheimer's disease (AD). White matter is found to degenerate earlier than gray matter and …