The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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. |
id |
RCAP_8fe960c825b005aeaf1d125da6bf7251 |
---|---|
oai_identifier_str |
oai:rihuc.huc.min-saude.pt:10400.4/2246 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
format |
article |
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 |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799131709522837505 |