Literature DB >> 34080613

Resting-State Network Alterations Differ between Alzheimer's Disease Atrophy Subtypes.

Boris-Stephan Rauchmann1,2, Ersin Ersoezlue2, Sophia Stoecklein1, Daniel Keeser1,2, Frederic Brosseron3,4, Katharina Buerger5,6, Peter Dechent7, Laura Dobisch8, Birgit Ertl-Wagner1,9, Klaus Fliessbach3,4, John Dylan Haynes10, Michael T Heneka3,4, Enise I Incesoy11,12, Daniel Janowitz6, Ingo Kilimann13,14, Christoph Laske15,16, Coraline D Metzger8,17,18, Matthias H Munk15,16, Oliver Peters11,12, Josef Priller11,19, Alfredo Ramirez3,4,20, Sandra Roeske3, Nina Roy3, Klaus Scheffler21, Anja Schneider3,4, Annika Spottke3,22, Eike Jakob Spruth11,19, Stefan Teipel13,14, Maike Tscheuschler23, Ruth Vukovich24, Michael Wagner3,4, Jens Wiltfang24,25,26, Renat Yakupov8, Emrah Duezel8,17, Frank Jessen3,23,27, Robert Perneczky2,5,28,29.   

Abstract

Several Alzheimer's disease (AD) atrophy subtypes were identified, but their brain network properties are unclear. We analyzed data from two independent datasets, including 166 participants (103 AD/63 controls) from the DZNE-longitudinal cognitive impairment and dementia study and 151 participants (121 AD/30 controls) from the AD neuroimaging initiative cohorts, aiming to identify differences between AD atrophy subtypes in resting-state functional magnetic resonance imaging intra-network connectivity (INC) and global and nodal network properties. Using a data-driven clustering approach, we identified four AD atrophy subtypes with differences in functional connectivity, accompanied by clinical and biomarker alterations, including a medio-temporal-predominant (S-MT), a limbic-predominant (S-L), a diffuse (S-D), and a mild-atrophy (S-MA) subtype. S-MT and S-D showed INC reduction in the default mode, dorsal attention, visual and limbic network, and a pronounced reduction of "global efficiency" and decrease of the "clustering coefficient" in parietal and temporal lobes. Despite severe atrophy in limbic areas, the S-L exhibited only marginal global network but substantial nodal network failure. S-MA, in contrast, showed limited impairment in clinical and cognitive scores but pronounced global network failure. Our results contribute toward a better understanding of heterogeneity in AD with the detection of distinct differences in functional connectivity networks accompanied by CSF biomarker and cognitive differences in AD subtypes.
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Alzheimer’s disease; brain structure; graph theory; independent component analysis; resting-state connectivity

Mesh:

Year:  2021        PMID: 34080613      PMCID: PMC8491689          DOI: 10.1093/cercor/bhab130

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   4.861


  51 in total

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Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

2.  Neuropathologically defined subtypes of Alzheimer's disease with distinct clinical characteristics: a retrospective study.

Authors:  Melissa E Murray; Neill R Graff-Radford; Owen A Ross; Ronald C Petersen; Ranjan Duara; Dennis W Dickson
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3.  Anatomical heterogeneity of Alzheimer disease: based on cortical thickness on MRIs.

Authors:  Young Noh; Seun Jeon; Jong Min Lee; Sang Won Seo; Geon Ha Kim; Hanna Cho; Byoung Seok Ye; Cindy W Yoon; Hee Jin Kim; Juhee Chin; Kee Hyung Park; Kenneth M Heilman; Duk L Na
Journal:  Neurology       Date:  2014-10-24       Impact factor: 9.910

4.  Molecular, structural, and functional characterization of Alzheimer's disease: evidence for a relationship between default activity, amyloid, and memory.

Authors:  Randy L Buckner; Abraham Z Snyder; Benjamin J Shannon; Gina LaRossa; Rimmon Sachs; Anthony F Fotenos; Yvette I Sheline; William E Klunk; Chester A Mathis; John C Morris; Mark A Mintun
Journal:  J Neurosci       Date:  2005-08-24       Impact factor: 6.167

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

6.  Loss of 'small-world' networks in Alzheimer's disease: graph analysis of FMRI resting-state functional connectivity.

Authors:  Ernesto J Sanz-Arigita; Menno M Schoonheim; Jessica S Damoiseaux; Serge A R B Rombouts; Erik Maris; Frederik Barkhof; Philip Scheltens; Cornelis J Stam
Journal:  PLoS One       Date:  2010-11-01       Impact factor: 3.240

7.  Limbic hypometabolism in Alzheimer's disease and mild cognitive impairment.

Authors:  Peter J Nestor; Tim D Fryer; Peter Smielewski; John R Hodges
Journal:  Ann Neurol       Date:  2003-09       Impact factor: 10.422

8.  Prediction of Alzheimer's disease pathophysiology based on cortical thickness patterns.

Authors:  Jihye Hwang; Chan Mi Kim; Seun Jeon; Jong Min Lee; Yun Jeong Hong; Jee Hoon Roh; Jae-Hong Lee; Jae-Young Koh; Duk L Na
Journal:  Alzheimers Dement (Amst)       Date:  2015-12-28

Review 9.  NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease.

Authors:  Clifford R Jack; David A Bennett; Kaj Blennow; Maria C Carrillo; Billy Dunn; Samantha Budd Haeberlein; David M Holtzman; William Jagust; Frank Jessen; Jason Karlawish; Enchi Liu; Jose Luis Molinuevo; Thomas Montine; Creighton Phelps; Katherine P Rankin; Christopher C Rowe; Philip Scheltens; Eric Siemers; Heather M Snyder; Reisa Sperling
Journal:  Alzheimers Dement       Date:  2018-04       Impact factor: 21.566

10.  Subtypes of Alzheimer's Disease Display Distinct Network Abnormalities Extending Beyond Their Pattern of Brain Atrophy.

Authors:  Daniel Ferreira; Joana B Pereira; Giovanni Volpe; Eric Westman
Journal:  Front Neurol       Date:  2019-05-28       Impact factor: 4.003

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  2 in total

Review 1.  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

2.  A Spatiotemporal Brain Network Analysis of Alzheimer's Disease Based on Persistent Homology.

Authors:  Jiacheng Xing; Jiaying Jia; Xin Wu; Liqun Kuang
Journal:  Front Aging Neurosci       Date:  2022-02-09       Impact factor: 5.750

  2 in total

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