Cargando…

Classification of Alzheimer's disease based on hippocampal multivariate morphometry statistics

BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disease characterized by progressive cognitive decline, and mild cognitive impairment (MCI) is associated with a high risk of developing AD. Hippocampal morphometry analysis is believed to be the most robust magnetic resonance imaging...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zheng, Weimin, Liu, Honghong, Li, Zhigang, Li, Kuncheng, Wang, Yalin, Hu, Bin, Dong, Qunxi, Wang, Zhiqun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2023
Materias:	Original Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401169/ https://www.ncbi.nlm.nih.gov/pubmed/37002795 http://dx.doi.org/10.1111/cns.14189

Ejemplares similares

Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology
por: Wu, Jianfeng, et al.
Publicado: (2021)

Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases
por: Wu, Jianfeng, et al.
Publicado: (2021)

Altered Functional Connectivity of Cognitive-Related Cerebellar Subregions in Alzheimer’s Disease
por: Zheng, Weimin, et al.
Publicado: (2017)

Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects
por: Dong, Qunxi, et al.
Publicado: (2019)

Every individual makes a difference: A trinity derived from linking individual brain morphometry, connectivity and mentalising ability
por: Li, Zhaoning, et al.
Publicado: (2023)

Prognostic Utility of Multivariate Morphometry in Schizophrenia
por: Li, Mingli, et al.
Publicado: (2019)

Acupuncture Modulates Resting State Hippocampal Functional Connectivity in Alzheimer Disease
por: Wang, Zhiqun, et al.
Publicado: (2014)

Application of Generalized Split Linearized Bregman Iteration algorithm for Alzheimer's disease prediction
por: Zheng, Weimin, et al.
Publicado: (2020)

Brain Gray Matter Atrophy after Spinal Cord Injury: A Voxel-Based Morphometry Study
por: Chen, Qian, et al.
Publicado: (2017)

S179. PROGNOSTIC UTILITY OF MULTIVARIATE MORPHOMETRY IN SCHIZOPHRENIA
por: Li, Mingli, et al.
Publicado: (2018)

Disrupted Regional Cerebral Blood Flow, Functional Activity and Connectivity in Alzheimer’s Disease: A Combined ASL Perfusion and Resting State fMRI Study
por: Zheng, Weimin, et al.
Publicado: (2019)

Analysis of Ratios in Multivariate Morphometry
por: Baur, Hannes, et al.
Publicado: (2011)

Altered multimodal magnetic resonance parameters of basal nucleus of Meynert in Alzheimer’s disease
por: Zheng, Weimin, et al.
Publicado: (2020)

Altered Functional Connectivity of Insular Subregions in Alzheimer’s Disease
por: Liu, Xingyun, et al.
Publicado: (2018)

Morphometry Difference of the Hippocampal Formation Between Blind and Sighted Individuals
por: Pan, Ningning, et al.
Publicado: (2021)

Modulation of functional activity and connectivity by acupuncture in patients with Alzheimer disease as measured by resting-state fMRI
por: Zheng, Weimin, et al.
Publicado: (2018)

Mapping the “What” and “Where” Visual Cortices and Their Atrophy in Alzheimer's Disease: Combined Activation Likelihood Estimation with Voxel-Based Morphometry
por: Deng, Yanjia, et al.
Publicado: (2016)

Associations between hippocampal morphometry and neuropathologic markers of Alzheimer's disease using 7 T MRI
por: Blanken, Anna E., et al.
Publicado: (2017)

Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline
por: Dong, Qunxi, et al.
Publicado: (2020)

Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry
por: Tsao, Sinchai, et al.
Publicado: (2017)

Effect of Acupuncture Stimulation of Hegu (LI4) and Taichong (LR3) on the Resting-State Networks in Alzheimer's Disease: Beyond the Default Mode Network
por: Ji, Shaozhen, et al.
Publicado: (2021)

Characterization of plasma metal profiles in Alzheimer’s disease using multivariate statistical analysis
por: Guan, Chunmei, et al.
Publicado: (2017)

The unique effect of TDP-43 on hippocampal subfield morphometry and cognition
por: Heywood, Ashley, et al.
Publicado: (2022)

Staghorn classification: Platform for morphometry assessment
por: Mishra, Shashikant, et al.
Publicado: (2014)

Using sperm morphometry and multivariate analysis to differentiate species of gray Mazama
por: Cursino, Marina Suzuki, et al.
Publicado: (2016)

Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning
por: Izenman, Alan Julian
Publicado: (2006)

Gap Shape Classification using Landscape Indices and Multivariate Statistics
por: Wu, Chih-Da, et al.
Publicado: (2016)

Structural MRI in Frontotemporal Dementia: Comparisons between Hippocampal Volumetry, Tensor-Based Morphometry and Voxel-Based Morphometry
por: Muñoz-Ruiz, Miguel Ángel, et al.
Publicado: (2012)

Morphometry of the hippocampal microvasculature in post-stroke and age-related dementias
por: Burke, M J C, et al.
Publicado: (2014)

Automated hippocampal unfolding for morphometry and subfield segmentation with HippUnfold
por: DeKraker, Jordan, et al.
Publicado: (2022)

Interhemispheric Functional and Structural Disconnection in Alzheimer’s Disease: A Combined Resting-State fMRI and DTI Study
por: Wang, Zhiqun, et al.
Publicado: (2015)

Classification of Alzheimer’s Disease Based on Abnormal Hippocampal Functional Connectivity and Machine Learning
por: Zhu, Qixiao, et al.
Publicado: (2022)

Differentiation of Cerebellum-Type and Parkinson-Type of Multiple System Atrophy by Using Multimodal MRI Parameters
por: Cui, Bin, et al.
Publicado: (2021)

Primary Unit for Statistical Analysis in Morphometry: Patient or Cell?
por: Tsybrovskyy, Oleksiy, et al.
Publicado: (1999)

Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification
por: Hett, Kilian, et al.
Publicado: (2019)

Modern multivariate statistical techniques : regression, classification, and manifold learning /
por: Izenman, Alan Julian
Publicado: (2008)

Multivariate Deep Learning Classification of Alzheimer’s Disease Based on Hierarchical Partner Matching Independent Component Analysis
por: Qiao, Jianping, et al.
Publicado: (2018)

Altered Brain Morphometry in Cerebral Small Vessel Disease With Cerebral Microbleeds: An Investigation Combining Univariate and Multivariate Pattern Analyses
por: Li, Jing, et al.
Publicado: (2022)

Multivariate statistical inference
por: Giri, Narayan C, et al.
Publicado: (1977)

Multivariate statistical methods /
por: Morrison, Donald F.
Publicado: (1976)

Cannot write session to /tmp/vufind_sessions/sess_ks2tott3p78to07t74ml6j6vt2