Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes : a multicenter study

Q1

Autores:
Moguilner, Sebastian
García, Adolfo M.
Sanz Perl, Yonatan
Tagliazucchi, Enzo
Piguet, Olivier
Kumfor, Fiona
Reyes, Pablo
Matallana-Eslava, Diana L.
Sedeño, Lucas
Ibáñez, Agustín
Tipo de recurso:
Article of investigation
Fecha de publicación:
2021
Institución:
Pontificia Universidad Javeriana
Repositorio:
Repositorio Universidad Javeriana
Idioma:
eng
OAI Identifier:
oai:repository.javeriana.edu.co:10554/53642
Acceso en línea:
https://login.ezproxy.javeriana.edu.co/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edselp&AN=S1053811920310077&lang=es&site=eds-live
http://hdl.handle.net/10554/53642
https://doi.org/10.1016/j.neuroimage.2020.117522
Palabra clave:
Dynamic functional connectivity
AD
bvFTD
fMRI resting-state connectivity
Copula-based dependence measure
Rights
License
Atribución-NoComercial 4.0 Internacional
id JAVERIANA2_e8f007d1d56f59619216e7f5df103131
oai_identifier_str oai:repository.javeriana.edu.co:10554/53642
network_acronym_str JAVERIANA2
network_name_str Repositorio Universidad Javeriana
repository_id_str
dc.title.spa.fl_str_mv Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes : a multicenter study
title Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes : a multicenter study
spellingShingle Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes : a multicenter study
Dynamic functional connectivity
AD
bvFTD
fMRI resting-state connectivity
Copula-based dependence measure
title_short Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes : a multicenter study
title_full Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes : a multicenter study
title_fullStr Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes : a multicenter study
title_full_unstemmed Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes : a multicenter study
title_sort Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes : a multicenter study
dc.creator.fl_str_mv Moguilner, Sebastian
García, Adolfo M.
Sanz Perl, Yonatan
Tagliazucchi, Enzo
Piguet, Olivier
Kumfor, Fiona
Reyes, Pablo
Matallana-Eslava, Diana L.
Sedeño, Lucas
Ibáñez, Agustín
dc.contributor.author.none.fl_str_mv Moguilner, Sebastian
García, Adolfo M.
Sanz Perl, Yonatan
Tagliazucchi, Enzo
Piguet, Olivier
Kumfor, Fiona
Reyes, Pablo
Matallana-Eslava, Diana L.
Sedeño, Lucas
Ibáñez, Agustín
dc.contributor.corporatename.none.fl_str_mv Pontificia Universidad Javeriana. Facultad de Medicina. Instituto de Envejecimiento
dc.subject.keyword.spa.fl_str_mv Dynamic functional connectivity
AD
bvFTD
fMRI resting-state connectivity
Copula-based dependence measure
topic Dynamic functional connectivity
AD
bvFTD
fMRI resting-state connectivity
Copula-based dependence measure
description Q1
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-04-20T20:57:31Z
dc.date.available.none.fl_str_mv 2021-04-20T20:57:31Z
dc.date.created.none.fl_str_mv 2021-01-15
dc.type.local.spa.fl_str_mv Artículo de revista
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
format http://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.spa.fl_str_mv https://login.ezproxy.javeriana.edu.co/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edselp&AN=S1053811920310077&lang=es&site=eds-live
dc.identifier.issn.spa.fl_str_mv 1053-8119 / 1095-9572 (Electrónico)
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10554/53642
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1016/j.neuroimage.2020.117522
dc.identifier.instname.spa.fl_str_mv instname:Pontificia Universidad Javeriana
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional - Pontificia Universidad Javeriana
dc.identifier.repourl.spa.fl_str_mv repourl:https://repository.javeriana.edu.co
url https://login.ezproxy.javeriana.edu.co/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edselp&AN=S1053811920310077&lang=es&site=eds-live
http://hdl.handle.net/10554/53642
https://doi.org/10.1016/j.neuroimage.2020.117522
identifier_str_mv 1053-8119 / 1095-9572 (Electrónico)
instname:Pontificia Universidad Javeriana
reponame:Repositorio Institucional - Pontificia Universidad Javeriana
repourl:https://repository.javeriana.edu.co
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournal.spa.fl_str_mv NeuroImage
dc.relation.citationvolume.spa.fl_str_mv 225
dc.rights.licence.*.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
dc.format.spa.fl_str_mv PDF
dc.format.mimetype.spa.fl_str_mv application/pdf
institution Pontificia Universidad Javeriana
bitstream.url.fl_str_mv http://repository.javeriana.edu.co/bitstream/10554/53642/2/license.txt
http://repository.javeriana.edu.co/bitstream/10554/53642/1/Dynamic%20brain%20fluctations.pdf
http://repository.javeriana.edu.co/bitstream/10554/53642/3/Dynamic%20brain%20fluctations.pdf.jpg
bitstream.checksum.fl_str_mv 2070d280cc89439d983d9eee1b17df53
c809a3fbea16765856ed7fd3f2f48703
6f1958953320aa5a8ee24bb45974d78f
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional - Pontificia Universidad Javeriana
repository.mail.fl_str_mv repositorio@javeriana.edu.co
_version_ 1814337490886066176
spelling Atribución-NoComercial 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf2Moguilner, SebastianGarcía, Adolfo M.Sanz Perl, YonatanTagliazucchi, EnzoPiguet, OlivierKumfor, FionaReyes, PabloMatallana-Eslava, Diana L.Sedeño, LucasIbáñez, AgustínPontificia Universidad Javeriana. Facultad de Medicina. Instituto de Envejecimiento2021-04-20T20:57:31Z2021-04-20T20:57:31Z2021-01-15https://login.ezproxy.javeriana.edu.co/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edselp&AN=S1053811920310077&lang=es&site=eds-live1053-8119 / 1095-9572 (Electrónico)http://hdl.handle.net/10554/53642https://doi.org/10.1016/j.neuroimage.2020.117522instname:Pontificia Universidad Javerianareponame:Repositorio Institucional - Pontificia Universidad Javerianarepourl:https://repository.javeriana.edu.coPDFapplication/pdfengDynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes : a multicenter studyArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Q1Q1From molecular mechanisms to global brain networks, atypical fluctuations are the hallmark of neurodegeneration. Yet, traditional fMRI research on resting-state networks (RSNs) has favored static and average connectivity methods, which by overlooking the fluctuation dynamics triggered by neurodegeneration, have yielded inconsistent results. The present multicenter study introduces a data-driven machine learning pipeline based on dynamic connectivity fluctuation analysis (DCFA) on RS-fMRI data from 300 participants belonging to three groups: behavioral variant frontotemporal dementia (bvFTD) patients, Alzheimer's disease (AD) patients, and healthy controls. We considered non-linear oscillatory patterns across combined and individual resting-state networks (RSNs), namely: the salience network (SN), mostly affected in bvFTD; the default mode network (DMN), mostly affected in AD; the executive network (EN), partially compromised in both conditions; the motor network (MN); and the visual network (VN). These RSNs were entered as features for dementia classification using a recent robust machine learning approach (a Bayesian hyperparameter tuned Gradient Boosting Machines (GBM) algorithm), across four independent datasets with different MR scanners and recording parameters. The machine learning classification accuracy analysis revealed a systematic and unique tailored architecture of RSN disruption. The classification accuracy ranking showed that the most affected networks for bvFTD were the SN + EN network pair (mean accuracy = 86.43%, AUC = 0.91, sensitivity = 86.45%, specificity = 87.54%); for AD, the DMN + EN network pair (mean accuracy = 86.63%, AUC = 0.89, sensitivity = 88.37%, specificity = 84.62%); and for the bvFTD vs. AD classification, the DMN + SN network pair (mean accuracy = 82.67%, AUC = 0.86, sensitivity = 81.27%, specificity = 83.01%). Moreover, the DFCA classification systematically outperformed canonical connectivity approaches (including both static and linear dynamic connectivity). Our findings suggest that non-linear dynamical fluctuations surpass two traditional seed-based functional connectivity approaches and provide a pathophysiological characterization of global brain networks in neurodegenerative conditions (AD and bvFTD) across multicenter data.Revista Internacional - IndexadaDynamic functional connectivityADbvFTDfMRI resting-state connectivityCopula-based dependence measureNeuroImage225LICENSElicense.txtlicense.txttext/plain; charset=utf-82603http://repository.javeriana.edu.co/bitstream/10554/53642/2/license.txt2070d280cc89439d983d9eee1b17df53MD52open accessORIGINALDynamic brain fluctations.pdfDynamic brain fluctations.pdfArtículoapplication/pdf3516519http://repository.javeriana.edu.co/bitstream/10554/53642/1/Dynamic%20brain%20fluctations.pdfc809a3fbea16765856ed7fd3f2f48703MD51embargoed access|||9999-04-11THUMBNAILDynamic brain fluctations.pdf.jpgDynamic brain fluctations.pdf.jpgIM Thumbnailimage/jpeg9566http://repository.javeriana.edu.co/bitstream/10554/53642/3/Dynamic%20brain%20fluctations.pdf.jpg6f1958953320aa5a8ee24bb45974d78fMD53open access10554/53642oai:repository.javeriana.edu.co:10554/536422021-07-14 16:30:49.153Repositorio Institucional - Pontificia Universidad Javerianarepositorio@javeriana.edu.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