Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition

Autores
Moguilner, Sebastian; Herzog, Rubén; Perl, Yonatan Sanz; Medel, Vicente; Cruzat, Josefina; Coronel, Carlos; Kringelbach, Morten; Deco, Gustavo; Ibañez, Agustin Mariano; Tagliazucchi, Enzo Rodolfo
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
BackgroundThe hypothesis of decreased neural inhibition in dementia has been sparsely studied in functional magnetic resonance imaging (fMRI) data across patients with different dementia subtypes, and the role of social and demographic heterogeneities on this hypothesis remains to be addressed.MethodsWe inferred regional inhibition by fitting a biophysical whole-brain model (dynamic mean field model with realistic inter-areal connectivity) to fMRI data from 414 participants, including patients with Alzheimer’s disease, behavioral variant frontotemporal dementia, and controls. We then investigated the effect of disease condition, and demographic and clinical variables on the local inhibitory feedback, a variable related to the maintenance of balanced neural excitation/inhibition.ResultsDecreased local inhibitory feedback was inferred from the biophysical modeling results in dementia patients, specific to brain areas presenting neurodegeneration. This loss of local inhibition correlated positively with years with disease, and showed differences regarding the gender and geographical origin of the patients. The model correctly reproduced known disease-related changes in functional connectivity.ConclusionsResults suggest a critical link between abnormal neural and circuit-level excitability levels, the loss of grey matter observed in dementia, and the reorganization of functional connectivity, while highlighting the sensitivity of the underlying biophysical mechanism to demographic and clinical heterogeneities in the patient population.
Fil: Moguilner, Sebastian. Universidad Adolfo Ibañez; Chile
Fil: Herzog, Rubén. Universidad Adolfo Ibañez; Chile
Fil: Perl, Yonatan Sanz. Universidad Adolfo Ibañez; Chile
Fil: Medel, Vicente. Universidad Adolfo Ibañez; Chile
Fil: Cruzat, Josefina. Universidad Adolfo Ibañez; Chile
Fil: Coronel, Carlos. Universidad Adolfo Ibañez; Chile
Fil: Kringelbach, Morten. University of Oxford; Reino Unido
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España
Fil: Ibañez, Agustin Mariano. Universidad Adolfo Ibañez; Chile. University of California; Estados Unidos. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Tagliazucchi, Enzo Rodolfo. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Materia
NEUROSCIENCE
NEUROIMAGING
DEMENTIA
AGING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/265748
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibitionMoguilner, SebastianHerzog, RubénPerl, Yonatan SanzMedel, VicenteCruzat, JosefinaCoronel, CarlosKringelbach, MortenDeco, GustavoIbañez, Agustin MarianoTagliazucchi, Enzo RodolfoNEUROSCIENCENEUROIMAGINGDEMENTIAAGINGhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1BackgroundThe hypothesis of decreased neural inhibition in dementia has been sparsely studied in functional magnetic resonance imaging (fMRI) data across patients with different dementia subtypes, and the role of social and demographic heterogeneities on this hypothesis remains to be addressed.MethodsWe inferred regional inhibition by fitting a biophysical whole-brain model (dynamic mean field model with realistic inter-areal connectivity) to fMRI data from 414 participants, including patients with Alzheimer’s disease, behavioral variant frontotemporal dementia, and controls. We then investigated the effect of disease condition, and demographic and clinical variables on the local inhibitory feedback, a variable related to the maintenance of balanced neural excitation/inhibition.ResultsDecreased local inhibitory feedback was inferred from the biophysical modeling results in dementia patients, specific to brain areas presenting neurodegeneration. This loss of local inhibition correlated positively with years with disease, and showed differences regarding the gender and geographical origin of the patients. The model correctly reproduced known disease-related changes in functional connectivity.ConclusionsResults suggest a critical link between abnormal neural and circuit-level excitability levels, the loss of grey matter observed in dementia, and the reorganization of functional connectivity, while highlighting the sensitivity of the underlying biophysical mechanism to demographic and clinical heterogeneities in the patient population.Fil: Moguilner, Sebastian. Universidad Adolfo Ibañez; ChileFil: Herzog, Rubén. Universidad Adolfo Ibañez; ChileFil: Perl, Yonatan Sanz. Universidad Adolfo Ibañez; ChileFil: Medel, Vicente. Universidad Adolfo Ibañez; ChileFil: Cruzat, Josefina. Universidad Adolfo Ibañez; ChileFil: Coronel, Carlos. Universidad Adolfo Ibañez; ChileFil: Kringelbach, Morten. University of Oxford; Reino UnidoFil: Deco, Gustavo. Universitat Pompeu Fabra; EspañaFil: Ibañez, Agustin Mariano. Universidad Adolfo Ibañez; Chile. University of California; Estados Unidos. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Tagliazucchi, Enzo Rodolfo. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaSpringer2024-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/265748Moguilner, Sebastian; Herzog, Rubén; Perl, Yonatan Sanz; Medel, Vicente; Cruzat, Josefina; et al.; Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition; Springer; Alzheimer's Research & Therapy; 16; 1; 4-2024; 1-161758-9193CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://alzres.biomedcentral.com/articles/10.1186/s13195-024-01449-0info:eu-repo/semantics/altIdentifier/doi/10.1186/s13195-024-01449-0info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:44:43Zoai:ri.conicet.gov.ar:11336/265748instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:44:44.001CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition
title Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition
spellingShingle Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition
Moguilner, Sebastian
NEUROSCIENCE
NEUROIMAGING
DEMENTIA
AGING
title_short Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition
title_full Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition
title_fullStr Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition
title_full_unstemmed Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition
title_sort Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition
dc.creator.none.fl_str_mv Moguilner, Sebastian
Herzog, Rubén
Perl, Yonatan Sanz
Medel, Vicente
Cruzat, Josefina
Coronel, Carlos
Kringelbach, Morten
Deco, Gustavo
Ibañez, Agustin Mariano
Tagliazucchi, Enzo Rodolfo
author Moguilner, Sebastian
author_facet Moguilner, Sebastian
Herzog, Rubén
Perl, Yonatan Sanz
Medel, Vicente
Cruzat, Josefina
Coronel, Carlos
Kringelbach, Morten
Deco, Gustavo
Ibañez, Agustin Mariano
Tagliazucchi, Enzo Rodolfo
author_role author
author2 Herzog, Rubén
Perl, Yonatan Sanz
Medel, Vicente
Cruzat, Josefina
Coronel, Carlos
Kringelbach, Morten
Deco, Gustavo
Ibañez, Agustin Mariano
Tagliazucchi, Enzo Rodolfo
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv NEUROSCIENCE
NEUROIMAGING
DEMENTIA
AGING
topic NEUROSCIENCE
NEUROIMAGING
DEMENTIA
AGING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv BackgroundThe hypothesis of decreased neural inhibition in dementia has been sparsely studied in functional magnetic resonance imaging (fMRI) data across patients with different dementia subtypes, and the role of social and demographic heterogeneities on this hypothesis remains to be addressed.MethodsWe inferred regional inhibition by fitting a biophysical whole-brain model (dynamic mean field model with realistic inter-areal connectivity) to fMRI data from 414 participants, including patients with Alzheimer’s disease, behavioral variant frontotemporal dementia, and controls. We then investigated the effect of disease condition, and demographic and clinical variables on the local inhibitory feedback, a variable related to the maintenance of balanced neural excitation/inhibition.ResultsDecreased local inhibitory feedback was inferred from the biophysical modeling results in dementia patients, specific to brain areas presenting neurodegeneration. This loss of local inhibition correlated positively with years with disease, and showed differences regarding the gender and geographical origin of the patients. The model correctly reproduced known disease-related changes in functional connectivity.ConclusionsResults suggest a critical link between abnormal neural and circuit-level excitability levels, the loss of grey matter observed in dementia, and the reorganization of functional connectivity, while highlighting the sensitivity of the underlying biophysical mechanism to demographic and clinical heterogeneities in the patient population.
Fil: Moguilner, Sebastian. Universidad Adolfo Ibañez; Chile
Fil: Herzog, Rubén. Universidad Adolfo Ibañez; Chile
Fil: Perl, Yonatan Sanz. Universidad Adolfo Ibañez; Chile
Fil: Medel, Vicente. Universidad Adolfo Ibañez; Chile
Fil: Cruzat, Josefina. Universidad Adolfo Ibañez; Chile
Fil: Coronel, Carlos. Universidad Adolfo Ibañez; Chile
Fil: Kringelbach, Morten. University of Oxford; Reino Unido
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España
Fil: Ibañez, Agustin Mariano. Universidad Adolfo Ibañez; Chile. University of California; Estados Unidos. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Tagliazucchi, Enzo Rodolfo. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
description BackgroundThe hypothesis of decreased neural inhibition in dementia has been sparsely studied in functional magnetic resonance imaging (fMRI) data across patients with different dementia subtypes, and the role of social and demographic heterogeneities on this hypothesis remains to be addressed.MethodsWe inferred regional inhibition by fitting a biophysical whole-brain model (dynamic mean field model with realistic inter-areal connectivity) to fMRI data from 414 participants, including patients with Alzheimer’s disease, behavioral variant frontotemporal dementia, and controls. We then investigated the effect of disease condition, and demographic and clinical variables on the local inhibitory feedback, a variable related to the maintenance of balanced neural excitation/inhibition.ResultsDecreased local inhibitory feedback was inferred from the biophysical modeling results in dementia patients, specific to brain areas presenting neurodegeneration. This loss of local inhibition correlated positively with years with disease, and showed differences regarding the gender and geographical origin of the patients. The model correctly reproduced known disease-related changes in functional connectivity.ConclusionsResults suggest a critical link between abnormal neural and circuit-level excitability levels, the loss of grey matter observed in dementia, and the reorganization of functional connectivity, while highlighting the sensitivity of the underlying biophysical mechanism to demographic and clinical heterogeneities in the patient population.
publishDate 2024
dc.date.none.fl_str_mv 2024-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/265748
Moguilner, Sebastian; Herzog, Rubén; Perl, Yonatan Sanz; Medel, Vicente; Cruzat, Josefina; et al.; Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition; Springer; Alzheimer's Research & Therapy; 16; 1; 4-2024; 1-16
1758-9193
CONICET Digital
CONICET
url http://hdl.handle.net/11336/265748
identifier_str_mv Moguilner, Sebastian; Herzog, Rubén; Perl, Yonatan Sanz; Medel, Vicente; Cruzat, Josefina; et al.; Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition; Springer; Alzheimer's Research & Therapy; 16; 1; 4-2024; 1-16
1758-9193
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://alzres.biomedcentral.com/articles/10.1186/s13195-024-01449-0
info:eu-repo/semantics/altIdentifier/doi/10.1186/s13195-024-01449-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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