Literature DB >> 29455029

Heterogeneous patterns of brain atrophy in Alzheimer's disease.

Konstantinos Poulakis1, Joana B Pereira2, Patrizia Mecocci3, Bruno Vellas4, Magda Tsolaki5, Iwona Kłoszewska6, Hilkka Soininen7, Simon Lovestone8, Andrew Simmons9, Lars-Olof Wahlund2, Eric Westman10.   

Abstract

There is increasing evidence showing that brain atrophy varies between patients with Alzheimer's disease (AD), suggesting that different anatomical patterns might exist within the same disorder. We investigated AD heterogeneity based on cortical and subcortical atrophy patterns in 299 AD subjects from 2 multicenter cohorts. Clusters of patients and important discriminative features were determined using random forest pairwise similarity, multidimensional scaling, and distance-based hierarchical clustering. We discovered 2 typical (72.2%) and 3 atypical (28.8%) subtypes with significantly different demographic, clinical, and cognitive characteristics, and different rates of cognitive decline. In contrast to previous studies, our unsupervised random forest approach based on cortical and subcortical volume measures and their linear and nonlinear interactions revealed more typical AD subtypes with important anatomically discriminative features, while the prevalence of atypical cases was lower. The hippocampal-sparing and typical AD subtypes exhibited worse clinical progression in visuospatial, memory, and executive cognitive functions. Our findings suggest there is substantial heterogeneity in AD that has an impact on how patients function and progress over time.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Cluster analyses; Cortical volumes; Random forest similarity; Structural magnetic resonance imaging; Subcortical volumes

Mesh:

Year:  2018        PMID: 29455029     DOI: 10.1016/j.neurobiolaging.2018.01.009

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  30 in total

Review 1.  A multiomics approach to heterogeneity in Alzheimer's disease: focused review and roadmap.

Authors:  AmanPreet Badhwar; G Peggy McFall; Shraddha Sapkota; Sandra E Black; Howard Chertkow; Simon Duchesne; Mario Masellis; Liang Li; Roger A Dixon; Pierre Bellec
Journal:  Brain       Date:  2020-05-01       Impact factor: 13.501

Review 2.  Precision diagnostics based on machine learning-derived imaging signatures.

Authors:  Christos Davatzikos; Aristeidis Sotiras; Yong Fan; Mohamad Habes; Guray Erus; Saima Rathore; Spyridon Bakas; Rhea Chitalia; Aimilia Gastounioti; Despina Kontos
Journal:  Magn Reson Imaging       Date:  2019-05-06       Impact factor: 2.546

Review 3.  Recent update on the heterogeneity of the Alzheimer's disease spectrum.

Authors:  Kurt A Jellinger
Journal:  J Neural Transm (Vienna)       Date:  2021-12-17       Impact factor: 3.575

4.  Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes.

Authors:  Junhao Wen; Erdem Varol; Aristeidis Sotiras; Zhijian Yang; Ganesh B Chand; Guray Erus; Haochang Shou; Ahmed Abdulkadir; Gyujoon Hwang; Dominic B Dwyer; Alessandro Pigoni; Paola Dazzan; Rene S Kahn; Hugo G Schnack; Marcus V Zanetti; Eva Meisenzahl; Geraldo F Busatto; Benedicto Crespo-Facorro; Romero-Garcia Rafael; Christos Pantelis; Stephen J Wood; Chuanjun Zhuo; Russell T Shinohara; Yong Fan; Ruben C Gur; Raquel E Gur; Theodore D Satterthwaite; Nikolaos Koutsouleris; Daniel H Wolf; Christos Davatzikos
Journal:  Med Image Anal       Date:  2021-11-11       Impact factor: 8.545

5.  Atrophy subtypes in prodromal Alzheimer's disease are associated with cognitive decline.

Authors:  Mara Ten Kate; Ellen Dicks; Pieter Jelle Visser; Wiesje M van der Flier; Charlotte E Teunissen; Frederik Barkhof; Philip Scheltens; Betty M Tijms
Journal:  Brain       Date:  2018-12-01       Impact factor: 13.501

Review 6.  Neuropathological assessment of the Alzheimer spectrum.

Authors:  Kurt A Jellinger
Journal:  J Neural Transm (Vienna)       Date:  2020-08-01       Impact factor: 3.575

7.  Network localization of clinical, cognitive, and neuropsychiatric symptoms in Alzheimer's disease.

Authors:  Aaron M Tetreault; Tony Phan; Dana Orlando; Ilwoo Lyu; Hakmook Kang; Bennett Landman; R Ryan Darby
Journal:  Brain       Date:  2020-04-01       Impact factor: 13.501

Review 8.  Disentangling Heterogeneity in Alzheimer's Disease and Related Dementias Using Data-Driven Methods.

Authors:  Mohamad Habes; Michel J Grothe; Birkan Tunc; Corey McMillan; David A Wolk; Christos Davatzikos
Journal:  Biol Psychiatry       Date:  2020-01-31       Impact factor: 13.382

9.  Longitudinal progression of grey matter atrophy in non-amnestic Alzheimer's disease.

Authors:  Jeffrey S Phillips; Fulvio Da Re; David J Irwin; Corey T McMillan; Sanjeev N Vaishnavi; Sharon X Xie; Edward B Lee; Philip A Cook; James C Gee; Leslie M Shaw; John Q Trojanowski; David A Wolk; Murray Grossman
Journal:  Brain       Date:  2019-06-01       Impact factor: 13.501

Review 10.  Diabetes, Albuminuria and the Kidney-Brain Axis.

Authors:  Diana Maria Ariton; Joan Jiménez-Balado; Olga Maisterra; Francesc Pujadas; María José Soler; Pilar Delgado
Journal:  J Clin Med       Date:  2021-05-27       Impact factor: 4.241

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