Cargando…
Brain Connectivity Based Prediction of Alzheimer’s Disease in Patients With Mild Cognitive Impairment Based on Multi-Modal Images
Structural and metabolic connectivity are advanced features that facilitate the diagnosis of patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI). Connectivity from a single imaging modality, however, did not show evident discriminative value in predicting MCI-to-AD conversion,...
Autores principales: | Zheng, Weihao, Yao, Zhijun, Li, Yongchao, Zhang, Yi, Hu, Bin, Wu, Dan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873164/ https://www.ncbi.nlm.nih.gov/pubmed/31803034 http://dx.doi.org/10.3389/fnhum.2019.00399 |
Ejemplares similares
-
Identifying Alzheimer’s disease and mild cognitive impairment with atlas-based multi-modal metrics
por: Long, Zhuqing, et al.
Publicado: (2023) -
Identifying Early Mild Cognitive Impairment by Multi-Modality MRI-Based Deep Learning
por: Kang, Li, et al.
Publicado: (2020) -
Altered Volume and Structural Connectivity of the Hippocampus in Alzheimer’s Disease and Amnestic Mild Cognitive Impairment
por: Feng, Feng, et al.
Publicado: (2021) -
Functional Connectivity and Complexity in the Phenomenological Model of Mild Cognitive-Impaired Alzheimer's Disease
por: Das, Surya, et al.
Publicado: (2022) -
Functional Connectivity Changes Across the Spectrum of Subjective Cognitive Decline, Amnestic Mild Cognitive Impairment and Alzheimer’s Disease
por: Wang, Ziqi, et al.
Publicado: (2019)