Pathology steered stratification network for subtype identification in Alzheimer's disease

E Xu, J Zhang, J Li, Q Song, D Yang, G Wu… - Medical …, 2024 - Wiley Online Library
Background Alzheimer's disease (AD) is a heterogeneous, multifactorial neurodegenerative
disorder characterized by three neurobiological factors beta‐amyloid, pathologic tau, and …

Disentangling The Spatio-Temporal Heterogeneity of Alzheimer's Disease Using A Deep Predictive Stratification Network

A Zhen, M Kim, G Wu - 2021 IEEE 18th International …, 2021 - ieeexplore.ieee.org
Alzheimer's disease (AD) is clinically heterogeneous in presentation and progression,
demonstrating variable topographic distributions of clinical phenotypes, progression rate …

Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data

V Satone, R Kaur, F Faghri, MA Nalls… - arXiv preprint arXiv …, 2018 - arxiv.org
Alzheimer's disease (AD) is a degenerative brain disease impairing a person's ability to
perform day to day activities. The clinical manifestations of Alzheimer's disease are …

Identifying Progression-Specific Alzheimer's Subtypes Using Multimodal Transformer

D Machado Reyes, H Chao, J Hahn, L Shen… - Journal of Personalized …, 2024 - mdpi.com
Alzheimer's disease (AD) is the most prevalent neurodegenerative disease, yet its current
treatments are limited to stopping disease progression. Moreover, the effectiveness of these …

AT [N]-Net: multimodal spatiotemporal network for subtype identification in Alzheimer's disease

J Zhang, E Xu, M Chen - Proceedings of the 13th ACM International …, 2022 - dl.acm.org
Alzheimer's disease (AD) is a heterogeneous, multifactorial neurodegenerative disorder,
where beta-amyloid (A), pathologic tau (T), neurodegeneration ([N]), and structural brain …

Deep learning for subtyping the Alzheimer's disease spectrum

MF Romano, VB Kolachalama - Trends in molecular medicine, 2022 - cell.com
In a recent article from Cell Reports Medicine, Kwak et al. generate novel insights about
subtyping cognitively impaired individuals based on structural imaging. Quantifying …

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

AL Young, RV Marinescu, NP Oxtoby… - Nature …, 2018 - nature.com
The heterogeneity of neurodegenerative diseases is a key confound to disease
understanding and treatment development, as study cohorts typically include multiple …

Novel Alzheimer's disease subtypes based on functional brain connectivity in human connectome project

J Sheng, Y Xin, Q Zhang, Z Yang, L Wang, Q Zhang… - Scientific Reports, 2024 - nature.com
The pathogenesis of Alzheimer's disease (AD) remains unclear, but revealing individual
differences in functional connectivity (FC) may provide insights and improve diagnostic …

Resolving heterogeneity in Alzheimer's disease based on individualized structural covariance network

C Zheng, W Zhao, Z Yang, D Tang, M Feng… - Progress in Neuro …, 2024 - Elsevier
The heterogeneity of Alzheimer's disease (AD) poses a challenge to precision medicine. We
aimed to identify distinct subtypes of AD based on the individualized structural covariance …

Deep learning-driven risk-based subtyping of cognitively impaired individuals

MF Romano, X Zhou, AR Balachandra, MF Jadick… - medRxiv, 2021 - medrxiv.org
Quantifying heterogeneity in Alzheimer's disease (AD) risk is critical for individualized care
and management. Recent attempts to assess AD heterogeneity have used structural …