The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint

Detalhes bibliográficos
Autor(a) principal: Premi, E
Data de Publicação: 2019
Outros Autores: Calhoun, VD, Diano, M, Gazzina, S, Cosseddu, M, Alberici, A, Archetti, S, Paternicò, D, Gasparotti, R, van Swieten, J, Galimberti, D, Sanchez-Valle, R, Laforce, R, Moreno, F, Synofzik, M, Graff, C, Masellis, M, Tartaglia, MC, Rowe, J, Vandenberghe, R, Finger, E, Tagliavini, F, de Mendonça, A, Santana, I, Butler, C, Ducharme, S, Gerhard, A, Danek, A, Levin, J, Otto, M, Frisoni, G, Cappa, S, Sorbi, S, Padovani, A, Rohrer, JD, Borroni, B
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.4/2246
Resumo: Frontotemporal Dementia (FTD) is preceded by a long period of subtle brain changes, occurring in the absence of overt cognitive symptoms, that need to be still fully characterized. Dynamic network analysis based on resting-state magnetic resonance imaging (rs-fMRI) is a potentially powerful tool for the study of preclinical FTD. In the present study, we employed a "chronnectome" approach (recurring, time-varying patterns of connectivity) to evaluate measures of dynamic connectivity in 472 at-risk FTD subjects from the Genetic Frontotemporal dementia research Initiative (GENFI) cohort. We considered 249 subjects with FTD-related pathogenetic mutations and 223 mutation non-carriers (HC). Dynamic connectivity was evaluated using independent component analysis and sliding-time window correlation to rs-fMRI data, and meta-state measures of global brain flexibility were extracted. Results show that presymptomatic FTD exhibits diminished dynamic fluidity, visiting less meta-states, shifting less often across them, and travelling through a narrowed meta-state distance, as compared to HC. Dynamic connectivity changes characterize preclinical FTD, arguing for the desynchronization of the inner fluctuations of the brain. These changes antedate clinical symptoms, and might represent an early signature of FTD to be used as a biomarker in clinical trials.
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spelling The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprintDemência FrontotemporalFrontotemporal Dementia (FTD) is preceded by a long period of subtle brain changes, occurring in the absence of overt cognitive symptoms, that need to be still fully characterized. Dynamic network analysis based on resting-state magnetic resonance imaging (rs-fMRI) is a potentially powerful tool for the study of preclinical FTD. In the present study, we employed a "chronnectome" approach (recurring, time-varying patterns of connectivity) to evaluate measures of dynamic connectivity in 472 at-risk FTD subjects from the Genetic Frontotemporal dementia research Initiative (GENFI) cohort. We considered 249 subjects with FTD-related pathogenetic mutations and 223 mutation non-carriers (HC). Dynamic connectivity was evaluated using independent component analysis and sliding-time window correlation to rs-fMRI data, and meta-state measures of global brain flexibility were extracted. Results show that presymptomatic FTD exhibits diminished dynamic fluidity, visiting less meta-states, shifting less often across them, and travelling through a narrowed meta-state distance, as compared to HC. Dynamic connectivity changes characterize preclinical FTD, arguing for the desynchronization of the inner fluctuations of the brain. These changes antedate clinical symptoms, and might represent an early signature of FTD to be used as a biomarker in clinical trials.RIHUCPremi, ECalhoun, VDDiano, MGazzina, SCosseddu, MAlberici, AArchetti, SPaternicò, DGasparotti, Rvan Swieten, JGalimberti, DSanchez-Valle, RLaforce, RMoreno, FSynofzik, MGraff, CMasellis, MTartaglia, MCRowe, JVandenberghe, RFinger, ETagliavini, Fde Mendonça, ASantana, IButler, CDucharme, SGerhard, ADanek, ALevin, JOtto, MFrisoni, GCappa, SSorbi, SPadovani, ARohrer, JDBorroni, B2019-08-22T11:55:41Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.4/2246engNeuroimage. 2019 Apr 1;189:645-654.10.1016/j.neuroimage.2019.01.080info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-11T14:23:38Zoai:rihuc.huc.min-saude.pt:10400.4/2246Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:04:42.670520Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint
title The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint
spellingShingle The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint
Premi, E
Demência Frontotemporal
title_short The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint
title_full The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint
title_fullStr The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint
title_full_unstemmed The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint
title_sort The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint
author Premi, E
author_facet Premi, E
Calhoun, VD
Diano, M
Gazzina, S
Cosseddu, M
Alberici, A
Archetti, S
Paternicò, D
Gasparotti, R
van Swieten, J
Galimberti, D
Sanchez-Valle, R
Laforce, R
Moreno, F
Synofzik, M
Graff, C
Masellis, M
Tartaglia, MC
Rowe, J
Vandenberghe, R
Finger, E
Tagliavini, F
de Mendonça, A
Santana, I
Butler, C
Ducharme, S
Gerhard, A
Danek, A
Levin, J
Otto, M
Frisoni, G
Cappa, S
Sorbi, S
Padovani, A
Rohrer, JD
Borroni, B
author_role author
author2 Calhoun, VD
Diano, M
Gazzina, S
Cosseddu, M
Alberici, A
Archetti, S
Paternicò, D
Gasparotti, R
van Swieten, J
Galimberti, D
Sanchez-Valle, R
Laforce, R
Moreno, F
Synofzik, M
Graff, C
Masellis, M
Tartaglia, MC
Rowe, J
Vandenberghe, R
Finger, E
Tagliavini, F
de Mendonça, A
Santana, I
Butler, C
Ducharme, S
Gerhard, A
Danek, A
Levin, J
Otto, M
Frisoni, G
Cappa, S
Sorbi, S
Padovani, A
Rohrer, JD
Borroni, B
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv RIHUC
dc.contributor.author.fl_str_mv Premi, E
Calhoun, VD
Diano, M
Gazzina, S
Cosseddu, M
Alberici, A
Archetti, S
Paternicò, D
Gasparotti, R
van Swieten, J
Galimberti, D
Sanchez-Valle, R
Laforce, R
Moreno, F
Synofzik, M
Graff, C
Masellis, M
Tartaglia, MC
Rowe, J
Vandenberghe, R
Finger, E
Tagliavini, F
de Mendonça, A
Santana, I
Butler, C
Ducharme, S
Gerhard, A
Danek, A
Levin, J
Otto, M
Frisoni, G
Cappa, S
Sorbi, S
Padovani, A
Rohrer, JD
Borroni, B
dc.subject.por.fl_str_mv Demência Frontotemporal
topic Demência Frontotemporal
description Frontotemporal Dementia (FTD) is preceded by a long period of subtle brain changes, occurring in the absence of overt cognitive symptoms, that need to be still fully characterized. Dynamic network analysis based on resting-state magnetic resonance imaging (rs-fMRI) is a potentially powerful tool for the study of preclinical FTD. In the present study, we employed a "chronnectome" approach (recurring, time-varying patterns of connectivity) to evaluate measures of dynamic connectivity in 472 at-risk FTD subjects from the Genetic Frontotemporal dementia research Initiative (GENFI) cohort. We considered 249 subjects with FTD-related pathogenetic mutations and 223 mutation non-carriers (HC). Dynamic connectivity was evaluated using independent component analysis and sliding-time window correlation to rs-fMRI data, and meta-state measures of global brain flexibility were extracted. Results show that presymptomatic FTD exhibits diminished dynamic fluidity, visiting less meta-states, shifting less often across them, and travelling through a narrowed meta-state distance, as compared to HC. Dynamic connectivity changes characterize preclinical FTD, arguing for the desynchronization of the inner fluctuations of the brain. These changes antedate clinical symptoms, and might represent an early signature of FTD to be used as a biomarker in clinical trials.
publishDate 2019
dc.date.none.fl_str_mv 2019-08-22T11:55:41Z
2019
2019-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.4/2246
url http://hdl.handle.net/10400.4/2246
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Neuroimage. 2019 Apr 1;189:645-654.
10.1016/j.neuroimage.2019.01.080
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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