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Altered Causal Connectivity of Resting State Brain Networks in Amnesic MCI

Most neuroimaging studies of resting state networks in amnesic mild cognitive impairment (aMCI) have concentrated on functional connectivity (FC) based on instantaneous correlation in a single network. The purpose of the current study was to investigate effective connectivity in aMCI patients based...

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Autores principales: Liang, Peipeng, Li, Zhihao, Deshpande, Gopikrishna, Wang, Zhiqun, Hu, Xiaoping, Li, Kuncheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3948954/
https://www.ncbi.nlm.nih.gov/pubmed/24613934
http://dx.doi.org/10.1371/journal.pone.0088476
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author Liang, Peipeng
Li, Zhihao
Deshpande, Gopikrishna
Wang, Zhiqun
Hu, Xiaoping
Li, Kuncheng
author_facet Liang, Peipeng
Li, Zhihao
Deshpande, Gopikrishna
Wang, Zhiqun
Hu, Xiaoping
Li, Kuncheng
author_sort Liang, Peipeng
collection PubMed
description Most neuroimaging studies of resting state networks in amnesic mild cognitive impairment (aMCI) have concentrated on functional connectivity (FC) based on instantaneous correlation in a single network. The purpose of the current study was to investigate effective connectivity in aMCI patients based on Granger causality of four important networks at resting state derived from functional magnetic resonance imaging data – default mode network (DMN), hippocampal cortical memory network (HCMN), dorsal attention network (DAN) and fronto-parietal control network (FPCN). Structural and functional MRI data were collected from 16 aMCI patients and 16 age, gender-matched healthy controls. Correlation-purged Granger causality analysis was used, taking gray matter atrophy as covariates, to compare the group difference between aMCI patients and healthy controls. We found that the causal connectivity between networks in aMCI patients was significantly altered with both increases and decreases in the aMCI group as compared to healthy controls. Some alterations were significantly correlated with the disease severity as measured by mini-mental state examination (MMSE), and California verbal learning test (CVLT) scores. When the whole-brain signal averaged over the entire brain was used as a nuisance co-variate, the within-group maps were significantly altered while the between-group difference maps did not. These results suggest that the alterations in causal influences may be one of the possible underlying substrates of cognitive impairments in aMCI. The present study extends and complements previous FC studies and demonstrates the coexistence of causal disconnection and compensation in aMCI patients, and thus might provide insights into biological mechanism of the disease.
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spelling pubmed-39489542014-03-13 Altered Causal Connectivity of Resting State Brain Networks in Amnesic MCI Liang, Peipeng Li, Zhihao Deshpande, Gopikrishna Wang, Zhiqun Hu, Xiaoping Li, Kuncheng PLoS One Research Article Most neuroimaging studies of resting state networks in amnesic mild cognitive impairment (aMCI) have concentrated on functional connectivity (FC) based on instantaneous correlation in a single network. The purpose of the current study was to investigate effective connectivity in aMCI patients based on Granger causality of four important networks at resting state derived from functional magnetic resonance imaging data – default mode network (DMN), hippocampal cortical memory network (HCMN), dorsal attention network (DAN) and fronto-parietal control network (FPCN). Structural and functional MRI data were collected from 16 aMCI patients and 16 age, gender-matched healthy controls. Correlation-purged Granger causality analysis was used, taking gray matter atrophy as covariates, to compare the group difference between aMCI patients and healthy controls. We found that the causal connectivity between networks in aMCI patients was significantly altered with both increases and decreases in the aMCI group as compared to healthy controls. Some alterations were significantly correlated with the disease severity as measured by mini-mental state examination (MMSE), and California verbal learning test (CVLT) scores. When the whole-brain signal averaged over the entire brain was used as a nuisance co-variate, the within-group maps were significantly altered while the between-group difference maps did not. These results suggest that the alterations in causal influences may be one of the possible underlying substrates of cognitive impairments in aMCI. The present study extends and complements previous FC studies and demonstrates the coexistence of causal disconnection and compensation in aMCI patients, and thus might provide insights into biological mechanism of the disease. Public Library of Science 2014-03-10 /pmc/articles/PMC3948954/ /pubmed/24613934 http://dx.doi.org/10.1371/journal.pone.0088476 Text en © 2014 Liang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Liang, Peipeng
Li, Zhihao
Deshpande, Gopikrishna
Wang, Zhiqun
Hu, Xiaoping
Li, Kuncheng
Altered Causal Connectivity of Resting State Brain Networks in Amnesic MCI
title Altered Causal Connectivity of Resting State Brain Networks in Amnesic MCI
title_full Altered Causal Connectivity of Resting State Brain Networks in Amnesic MCI
title_fullStr Altered Causal Connectivity of Resting State Brain Networks in Amnesic MCI
title_full_unstemmed Altered Causal Connectivity of Resting State Brain Networks in Amnesic MCI
title_short Altered Causal Connectivity of Resting State Brain Networks in Amnesic MCI
title_sort altered causal connectivity of resting state brain networks in amnesic mci
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3948954/
https://www.ncbi.nlm.nih.gov/pubmed/24613934
http://dx.doi.org/10.1371/journal.pone.0088476
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