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Functional network resilience to pathology in presymptomatic genetic frontotemporal dementia
The presymptomatic phase of neurodegenerative diseases are characterized by structural brain changes without significant clinical features. We set out to investigate the contribution of functional network resilience to preserved cognition in presymptomatic genetic frontotemporal dementia. We studied...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491498/ https://www.ncbi.nlm.nih.gov/pubmed/30831384 http://dx.doi.org/10.1016/j.neurobiolaging.2018.12.009 |
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author | Rittman, Timothy Borchert, Robin Jones, Simon van Swieten, John Borroni, Barbara Galimberti, Daniela Masellis, Mario Tartaglia, Maria Carmela Graff, Caroline Tagliavini, Fabrizio Frisoni, Giovanni B. Laforce, Robert Finger, Elizabeth Mendonça, Alexandre Sorbi, Sandro Rohrer, Jonathan D. Rowe, James B. |
author_facet | Rittman, Timothy Borchert, Robin Jones, Simon van Swieten, John Borroni, Barbara Galimberti, Daniela Masellis, Mario Tartaglia, Maria Carmela Graff, Caroline Tagliavini, Fabrizio Frisoni, Giovanni B. Laforce, Robert Finger, Elizabeth Mendonça, Alexandre Sorbi, Sandro Rohrer, Jonathan D. Rowe, James B. |
author_sort | Rittman, Timothy |
collection | PubMed |
description | The presymptomatic phase of neurodegenerative diseases are characterized by structural brain changes without significant clinical features. We set out to investigate the contribution of functional network resilience to preserved cognition in presymptomatic genetic frontotemporal dementia. We studied 172 people from families carrying genetic abnormalities in C9orf72, MAPT, or PGRN. Networks were extracted from functional MRI data and assessed using graph theoretical analysis. We found that despite loss of both brain volume and functional connections, there is maintenance of an efficient topological organization of the brain's functional network in the years leading up to the estimated age of frontotemporal dementia symptom onset. After this point, functional network efficiency declines markedly. Reduction in connectedness was most marked in highly connected hub regions. Measures of topological efficiency of the brain's functional network and organization predicted cognitive dysfunction in domains related to symptomatic frontotemporal dementia and connectivity correlated with brain volume loss in frontotemporal dementia. We propose that maintaining the efficient organization of the brain's functional network supports cognitive health even as atrophy and connectivity decline presymptomatically. |
format | Online Article Text |
id | pubmed-6491498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-64914982019-05-06 Functional network resilience to pathology in presymptomatic genetic frontotemporal dementia Rittman, Timothy Borchert, Robin Jones, Simon van Swieten, John Borroni, Barbara Galimberti, Daniela Masellis, Mario Tartaglia, Maria Carmela Graff, Caroline Tagliavini, Fabrizio Frisoni, Giovanni B. Laforce, Robert Finger, Elizabeth Mendonça, Alexandre Sorbi, Sandro Rohrer, Jonathan D. Rowe, James B. Neurobiol Aging Article The presymptomatic phase of neurodegenerative diseases are characterized by structural brain changes without significant clinical features. We set out to investigate the contribution of functional network resilience to preserved cognition in presymptomatic genetic frontotemporal dementia. We studied 172 people from families carrying genetic abnormalities in C9orf72, MAPT, or PGRN. Networks were extracted from functional MRI data and assessed using graph theoretical analysis. We found that despite loss of both brain volume and functional connections, there is maintenance of an efficient topological organization of the brain's functional network in the years leading up to the estimated age of frontotemporal dementia symptom onset. After this point, functional network efficiency declines markedly. Reduction in connectedness was most marked in highly connected hub regions. Measures of topological efficiency of the brain's functional network and organization predicted cognitive dysfunction in domains related to symptomatic frontotemporal dementia and connectivity correlated with brain volume loss in frontotemporal dementia. We propose that maintaining the efficient organization of the brain's functional network supports cognitive health even as atrophy and connectivity decline presymptomatically. Elsevier 2019-05 /pmc/articles/PMC6491498/ /pubmed/30831384 http://dx.doi.org/10.1016/j.neurobiolaging.2018.12.009 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rittman, Timothy Borchert, Robin Jones, Simon van Swieten, John Borroni, Barbara Galimberti, Daniela Masellis, Mario Tartaglia, Maria Carmela Graff, Caroline Tagliavini, Fabrizio Frisoni, Giovanni B. Laforce, Robert Finger, Elizabeth Mendonça, Alexandre Sorbi, Sandro Rohrer, Jonathan D. Rowe, James B. Functional network resilience to pathology in presymptomatic genetic frontotemporal dementia |
title | Functional network resilience to pathology in presymptomatic genetic frontotemporal dementia |
title_full | Functional network resilience to pathology in presymptomatic genetic frontotemporal dementia |
title_fullStr | Functional network resilience to pathology in presymptomatic genetic frontotemporal dementia |
title_full_unstemmed | Functional network resilience to pathology in presymptomatic genetic frontotemporal dementia |
title_short | Functional network resilience to pathology in presymptomatic genetic frontotemporal dementia |
title_sort | functional network resilience to pathology in presymptomatic genetic frontotemporal dementia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491498/ https://www.ncbi.nlm.nih.gov/pubmed/30831384 http://dx.doi.org/10.1016/j.neurobiolaging.2018.12.009 |
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