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Dynamic Causal Modeling of Preclinical Autosomal-Dominant Alzheimer’s Disease

Dynamic causal modeling (DCM) is a framework for making inferences about changes in brain connectivity using neuroimaging data. We fitted DCMs to high-density EEG data from subjects performing a semantic picture matching task. The subjects are carriers of the PSEN1 mutation, which leads to early ons...

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Autores principales: Penny, Will, Iglesias-Fuster, Jorge, Quiroz, Yakeel T., Lopera, Francisco Javier, Bobes, Maria A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923812/
https://www.ncbi.nlm.nih.gov/pubmed/29562504
http://dx.doi.org/10.3233/JAD-170405
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author Penny, Will
Iglesias-Fuster, Jorge
Quiroz, Yakeel T.
Lopera, Francisco Javier
Bobes, Maria A.
author_facet Penny, Will
Iglesias-Fuster, Jorge
Quiroz, Yakeel T.
Lopera, Francisco Javier
Bobes, Maria A.
author_sort Penny, Will
collection PubMed
description Dynamic causal modeling (DCM) is a framework for making inferences about changes in brain connectivity using neuroimaging data. We fitted DCMs to high-density EEG data from subjects performing a semantic picture matching task. The subjects are carriers of the PSEN1 mutation, which leads to early onset Alzheimer’s disease, but at the time of EEG acquisition in 1999, these subjects were cognitively unimpaired. We asked 1) what is the optimal model architecture for explaining the event-related potentials in this population, 2) which connections are different between this Presymptomatic Carrier (PreC) group and a Non-Carrier (NonC) group performing the same task, and 3) which network connections are predictive of subsequent Mini-Mental State Exam (MMSE) trajectories. We found 1) a model with hierarchical rather than lateral connections between hemispheres to be optimal, 2) that a pathway from right inferotemporal cortex (IT) to left medial temporal lobe (MTL) was preferentially activated by incongruent items for subjects in the PreC group but not the NonC group, and 3) that increased effective connectivity among left MTL, right IT, and right MTL was predictive of subsequent MMSE scores.
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spelling pubmed-69238122019-12-23 Dynamic Causal Modeling of Preclinical Autosomal-Dominant Alzheimer’s Disease Penny, Will Iglesias-Fuster, Jorge Quiroz, Yakeel T. Lopera, Francisco Javier Bobes, Maria A. J Alzheimers Dis Research Article Dynamic causal modeling (DCM) is a framework for making inferences about changes in brain connectivity using neuroimaging data. We fitted DCMs to high-density EEG data from subjects performing a semantic picture matching task. The subjects are carriers of the PSEN1 mutation, which leads to early onset Alzheimer’s disease, but at the time of EEG acquisition in 1999, these subjects were cognitively unimpaired. We asked 1) what is the optimal model architecture for explaining the event-related potentials in this population, 2) which connections are different between this Presymptomatic Carrier (PreC) group and a Non-Carrier (NonC) group performing the same task, and 3) which network connections are predictive of subsequent Mini-Mental State Exam (MMSE) trajectories. We found 1) a model with hierarchical rather than lateral connections between hemispheres to be optimal, 2) that a pathway from right inferotemporal cortex (IT) to left medial temporal lobe (MTL) was preferentially activated by incongruent items for subjects in the PreC group but not the NonC group, and 3) that increased effective connectivity among left MTL, right IT, and right MTL was predictive of subsequent MMSE scores. IOS Press 2018-09-11 /pmc/articles/PMC6923812/ /pubmed/29562504 http://dx.doi.org/10.3233/JAD-170405 Text en © 2018 – IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) License (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Penny, Will
Iglesias-Fuster, Jorge
Quiroz, Yakeel T.
Lopera, Francisco Javier
Bobes, Maria A.
Dynamic Causal Modeling of Preclinical Autosomal-Dominant Alzheimer’s Disease
title Dynamic Causal Modeling of Preclinical Autosomal-Dominant Alzheimer’s Disease
title_full Dynamic Causal Modeling of Preclinical Autosomal-Dominant Alzheimer’s Disease
title_fullStr Dynamic Causal Modeling of Preclinical Autosomal-Dominant Alzheimer’s Disease
title_full_unstemmed Dynamic Causal Modeling of Preclinical Autosomal-Dominant Alzheimer’s Disease
title_short Dynamic Causal Modeling of Preclinical Autosomal-Dominant Alzheimer’s Disease
title_sort dynamic causal modeling of preclinical autosomal-dominant alzheimer’s disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923812/
https://www.ncbi.nlm.nih.gov/pubmed/29562504
http://dx.doi.org/10.3233/JAD-170405
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