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Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia
BACKGROUND: Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD) cause distinct atrophy and functional disruptions within two major intrinsic brain networks, namely the default network and the salience network, respectively. It remains unclear if inter-network relationship...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786961/ https://www.ncbi.nlm.nih.gov/pubmed/33407913 http://dx.doi.org/10.1186/s13195-020-00752-w |
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author | Ng, Adeline Su Lyn Wang, Juan Ng, Kwun Kei Chong, Joanna Su Xian Qian, Xing Lim, Joseph Kai Wei Tan, Yi Jayne Yong, Alisa Cui Wen Chander, Russell Jude Hameed, Shahul Ting, Simon Kang Seng Kandiah, Nagaendran Zhou, Juan Helen |
author_facet | Ng, Adeline Su Lyn Wang, Juan Ng, Kwun Kei Chong, Joanna Su Xian Qian, Xing Lim, Joseph Kai Wei Tan, Yi Jayne Yong, Alisa Cui Wen Chander, Russell Jude Hameed, Shahul Ting, Simon Kang Seng Kandiah, Nagaendran Zhou, Juan Helen |
author_sort | Ng, Adeline Su Lyn |
collection | PubMed |
description | BACKGROUND: Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD) cause distinct atrophy and functional disruptions within two major intrinsic brain networks, namely the default network and the salience network, respectively. It remains unclear if inter-network relationships and whole-brain network topology are also altered and underpin cognitive and social–emotional functional deficits. METHODS: In total, 111 participants (50 AD, 14 bvFTD, and 47 age- and gender-matched healthy controls) underwent resting-state functional magnetic resonance imaging (fMRI) and neuropsychological assessments. Functional connectivity was derived among 144 brain regions of interest. Graph theoretical analysis was applied to characterize network integration, segregation, and module distinctiveness (degree centrality, nodal efficiency, within-module degree, and participation coefficient) in AD, bvFTD, and healthy participants. Group differences in graph theoretical measures and empirically derived network community structures, as well as the associations between these indices and cognitive performance and neuropsychiatric symptoms, were subject to general linear models, with age, gender, education, motion, and scanner type controlled. RESULTS: Our results suggested that AD had lower integration in the default and control networks, while bvFTD exhibited disrupted integration in the salience network. Interestingly, AD and bvFTD had the highest and lowest degree of integration in the thalamus, respectively. Such divergence in topological aberration was recapitulated in network segregation and module distinctiveness loss, with AD showing poorer modular structure between the default and control networks, and bvFTD having more fragmented modules in the salience network and subcortical regions. Importantly, aberrations in network topology were related to worse attention deficits and greater severity in neuropsychiatric symptoms across syndromes. CONCLUSIONS: Our findings underscore the reciprocal relationships between the default, control, and salience networks that may account for the cognitive decline and neuropsychiatric symptoms in dementia. |
format | Online Article Text |
id | pubmed-7786961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77869612021-01-07 Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia Ng, Adeline Su Lyn Wang, Juan Ng, Kwun Kei Chong, Joanna Su Xian Qian, Xing Lim, Joseph Kai Wei Tan, Yi Jayne Yong, Alisa Cui Wen Chander, Russell Jude Hameed, Shahul Ting, Simon Kang Seng Kandiah, Nagaendran Zhou, Juan Helen Alzheimers Res Ther Research BACKGROUND: Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD) cause distinct atrophy and functional disruptions within two major intrinsic brain networks, namely the default network and the salience network, respectively. It remains unclear if inter-network relationships and whole-brain network topology are also altered and underpin cognitive and social–emotional functional deficits. METHODS: In total, 111 participants (50 AD, 14 bvFTD, and 47 age- and gender-matched healthy controls) underwent resting-state functional magnetic resonance imaging (fMRI) and neuropsychological assessments. Functional connectivity was derived among 144 brain regions of interest. Graph theoretical analysis was applied to characterize network integration, segregation, and module distinctiveness (degree centrality, nodal efficiency, within-module degree, and participation coefficient) in AD, bvFTD, and healthy participants. Group differences in graph theoretical measures and empirically derived network community structures, as well as the associations between these indices and cognitive performance and neuropsychiatric symptoms, were subject to general linear models, with age, gender, education, motion, and scanner type controlled. RESULTS: Our results suggested that AD had lower integration in the default and control networks, while bvFTD exhibited disrupted integration in the salience network. Interestingly, AD and bvFTD had the highest and lowest degree of integration in the thalamus, respectively. Such divergence in topological aberration was recapitulated in network segregation and module distinctiveness loss, with AD showing poorer modular structure between the default and control networks, and bvFTD having more fragmented modules in the salience network and subcortical regions. Importantly, aberrations in network topology were related to worse attention deficits and greater severity in neuropsychiatric symptoms across syndromes. CONCLUSIONS: Our findings underscore the reciprocal relationships between the default, control, and salience networks that may account for the cognitive decline and neuropsychiatric symptoms in dementia. BioMed Central 2021-01-06 /pmc/articles/PMC7786961/ /pubmed/33407913 http://dx.doi.org/10.1186/s13195-020-00752-w Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ng, Adeline Su Lyn Wang, Juan Ng, Kwun Kei Chong, Joanna Su Xian Qian, Xing Lim, Joseph Kai Wei Tan, Yi Jayne Yong, Alisa Cui Wen Chander, Russell Jude Hameed, Shahul Ting, Simon Kang Seng Kandiah, Nagaendran Zhou, Juan Helen Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia |
title | Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia |
title_full | Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia |
title_fullStr | Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia |
title_full_unstemmed | Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia |
title_short | Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia |
title_sort | distinct network topology in alzheimer’s disease and behavioral variant frontotemporal dementia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786961/ https://www.ncbi.nlm.nih.gov/pubmed/33407913 http://dx.doi.org/10.1186/s13195-020-00752-w |
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