Allostatic-Interoceptive Overload in Frontotemporal Dementia
- Autores
- Birba, Agustina; Santamaría García, Hernando; Prado, Pavel; Cruzat, Josefina; Sainz Ballesteros, Agustín; Legaz, Agustina; Fittipaldi, Sol; Duran Aniotz, Claudia; Slachevsky, Andrea; Santibañez, Rodrigo; Sigman, Mariano; García, Adolfo Martín; Whelan, Robert; Moguilner, Sebastian Gabriel; Ibañez, Agustin Mariano
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- BACKGROUND: The predictive coding theory of allostatic-interoceptive load states that brain networks mediating autonomic regulation and interoceptive-exteroceptive balance regulate the internal milieu to anticipate future needs and environmental demands. These functions seem to be distinctly compromised in behavioral variant frontotemporal dementia (bvFTD), including alterations of the allostatic-interoceptive network (AIN). Here, we hypothesize that bvFTD is typified by an allostatic-interoceptive overload. METHODS: We assessed resting-state heartbeat evoked potential (rsHEP) modulation as well as its behavioral and multimodal neuroimaging correlates in patients with bvFTD relative to healthy control subjects and patients with Alzheimer’s disease (N = 94). We measured 1) resting-state electroencephalography (to assess the rsHEP, prompted by visceral inputs and modulated by internal body sensing), 2) associations between rsHEP and its neural generators (source location), 3) cognitive disturbances (cognitive state, executive functions, facial emotion recognition), 4) brain atrophy, and 5) resting-state functional magnetic resonance imaging functional connectivity (AIN vs. control networks). RESULTS: Relative to healthy control subjects and patients with Alzheimer’s disease, patients with bvFTD presented more negative rsHEP amplitudes with sources in critical hubs of the AIN (insula, amygdala, somatosensory cortex, hippocampus, anterior cingulate cortex). This exacerbated rsHEP modulation selectively predicted the patients’ cognitive profile (including cognitive decline, executive dysfunction, and emotional impairments). In addition, increased rsHEP modulation in bvFTD was associated with decreased brain volume and connectivity of the AIN. Machine learning results confirmed AIN specificity in predicting the bvFTD group. CONCLUSIONS: Altogether, these results suggest that bvFTD may be characterized by an allostatic-interoceptive overload manifested in ongoing electrophysiological markers, brain atrophy, functional networks, and cognition.
Fil: Birba, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; Argentina
Fil: Santamaría García, Hernando. Pontificia Universidad Javeriana; Colombia
Fil: Prado, Pavel. Universidad Adolfo Ibañez; Chile
Fil: Cruzat, Josefina. Universidad Adolfo Ibañez; Chile
Fil: Sainz Ballesteros, Agustín. Universidad Adolfo Ibañez; Chile
Fil: Legaz, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Adolfo Ibañez; Chile
Fil: Fittipaldi, Sol. Universidad Adolfo Ibañez; Chile
Fil: Duran Aniotz, Claudia. Universidad Adolfo Ibañez; Chile
Fil: Slachevsky, Andrea. Universidad de Chile. Facultad de Medicina.; Chile
Fil: Santibañez, Rodrigo. Pontificia Universidad Católica de Chile; Chile
Fil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Santiago de Chile; Chile. Universidad Adolfo Ibañez; Chile
Fil: Whelan, Robert. University of California; Estados Unidos
Fil: Moguilner, Sebastian Gabriel. Universidad de San Andrés; Argentina. University of California; Estados Unidos. Universidad Adolfo Ibañez; Chile
Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile - Materia
-
ALLOSTASIS
ALLOSTATIC-INTEROCEPTIVE NETWORK
FRONTOTEMPORAL DEMENTIA
HEP
INTEROCEPTION
MULTIMODAL IMAGING
PREDICTIVE CODING
rsHEP - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/234392
Ver los metadatos del registro completo
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oai:ri.conicet.gov.ar:11336/234392 |
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Allostatic-Interoceptive Overload in Frontotemporal DementiaBirba, AgustinaSantamaría García, HernandoPrado, PavelCruzat, JosefinaSainz Ballesteros, AgustínLegaz, AgustinaFittipaldi, SolDuran Aniotz, ClaudiaSlachevsky, AndreaSantibañez, RodrigoSigman, MarianoGarcía, Adolfo MartínWhelan, RobertMoguilner, Sebastian GabrielIbañez, Agustin MarianoALLOSTASISALLOSTATIC-INTEROCEPTIVE NETWORKFRONTOTEMPORAL DEMENTIAHEPINTEROCEPTIONMULTIMODAL IMAGINGPREDICTIVE CODINGrsHEPhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3BACKGROUND: The predictive coding theory of allostatic-interoceptive load states that brain networks mediating autonomic regulation and interoceptive-exteroceptive balance regulate the internal milieu to anticipate future needs and environmental demands. These functions seem to be distinctly compromised in behavioral variant frontotemporal dementia (bvFTD), including alterations of the allostatic-interoceptive network (AIN). Here, we hypothesize that bvFTD is typified by an allostatic-interoceptive overload. METHODS: We assessed resting-state heartbeat evoked potential (rsHEP) modulation as well as its behavioral and multimodal neuroimaging correlates in patients with bvFTD relative to healthy control subjects and patients with Alzheimer’s disease (N = 94). We measured 1) resting-state electroencephalography (to assess the rsHEP, prompted by visceral inputs and modulated by internal body sensing), 2) associations between rsHEP and its neural generators (source location), 3) cognitive disturbances (cognitive state, executive functions, facial emotion recognition), 4) brain atrophy, and 5) resting-state functional magnetic resonance imaging functional connectivity (AIN vs. control networks). RESULTS: Relative to healthy control subjects and patients with Alzheimer’s disease, patients with bvFTD presented more negative rsHEP amplitudes with sources in critical hubs of the AIN (insula, amygdala, somatosensory cortex, hippocampus, anterior cingulate cortex). This exacerbated rsHEP modulation selectively predicted the patients’ cognitive profile (including cognitive decline, executive dysfunction, and emotional impairments). In addition, increased rsHEP modulation in bvFTD was associated with decreased brain volume and connectivity of the AIN. Machine learning results confirmed AIN specificity in predicting the bvFTD group. CONCLUSIONS: Altogether, these results suggest that bvFTD may be characterized by an allostatic-interoceptive overload manifested in ongoing electrophysiological markers, brain atrophy, functional networks, and cognition.Fil: Birba, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; ArgentinaFil: Santamaría García, Hernando. Pontificia Universidad Javeriana; ColombiaFil: Prado, Pavel. Universidad Adolfo Ibañez; ChileFil: Cruzat, Josefina. Universidad Adolfo Ibañez; ChileFil: Sainz Ballesteros, Agustín. Universidad Adolfo Ibañez; ChileFil: Legaz, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Adolfo Ibañez; ChileFil: Fittipaldi, Sol. Universidad Adolfo Ibañez; ChileFil: Duran Aniotz, Claudia. Universidad Adolfo Ibañez; ChileFil: Slachevsky, Andrea. Universidad de Chile. Facultad de Medicina.; ChileFil: Santibañez, Rodrigo. Pontificia Universidad Católica de Chile; ChileFil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Santiago de Chile; Chile. Universidad Adolfo Ibañez; ChileFil: Whelan, Robert. University of California; Estados UnidosFil: Moguilner, Sebastian Gabriel. Universidad de San Andrés; Argentina. University of California; Estados Unidos. Universidad Adolfo Ibañez; ChileFil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; ChileElsevier Science Inc.2022-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/234392Birba, Agustina; Santamaría García, Hernando; Prado, Pavel; Cruzat, Josefina; Sainz Ballesteros, Agustín; et al.; Allostatic-Interoceptive Overload in Frontotemporal Dementia; Elsevier Science Inc.; Biological Psychiatry; 92; 1; 5-2022; 54-670006-32231873-2402CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.biologicalpsychiatryjournal.com/article/S0006-3223(22)01042-3/fulltextinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.biopsych.2022.02.955info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:25:44Zoai:ri.conicet.gov.ar:11336/234392instacron: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:34982025-10-15 14:25:44.734CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Allostatic-Interoceptive Overload in Frontotemporal Dementia |
title |
Allostatic-Interoceptive Overload in Frontotemporal Dementia |
spellingShingle |
Allostatic-Interoceptive Overload in Frontotemporal Dementia Birba, Agustina ALLOSTASIS ALLOSTATIC-INTEROCEPTIVE NETWORK FRONTOTEMPORAL DEMENTIA HEP INTEROCEPTION MULTIMODAL IMAGING PREDICTIVE CODING rsHEP |
title_short |
Allostatic-Interoceptive Overload in Frontotemporal Dementia |
title_full |
Allostatic-Interoceptive Overload in Frontotemporal Dementia |
title_fullStr |
Allostatic-Interoceptive Overload in Frontotemporal Dementia |
title_full_unstemmed |
Allostatic-Interoceptive Overload in Frontotemporal Dementia |
title_sort |
Allostatic-Interoceptive Overload in Frontotemporal Dementia |
dc.creator.none.fl_str_mv |
Birba, Agustina Santamaría García, Hernando Prado, Pavel Cruzat, Josefina Sainz Ballesteros, Agustín Legaz, Agustina Fittipaldi, Sol Duran Aniotz, Claudia Slachevsky, Andrea Santibañez, Rodrigo Sigman, Mariano García, Adolfo Martín Whelan, Robert Moguilner, Sebastian Gabriel Ibañez, Agustin Mariano |
author |
Birba, Agustina |
author_facet |
Birba, Agustina Santamaría García, Hernando Prado, Pavel Cruzat, Josefina Sainz Ballesteros, Agustín Legaz, Agustina Fittipaldi, Sol Duran Aniotz, Claudia Slachevsky, Andrea Santibañez, Rodrigo Sigman, Mariano García, Adolfo Martín Whelan, Robert Moguilner, Sebastian Gabriel Ibañez, Agustin Mariano |
author_role |
author |
author2 |
Santamaría García, Hernando Prado, Pavel Cruzat, Josefina Sainz Ballesteros, Agustín Legaz, Agustina Fittipaldi, Sol Duran Aniotz, Claudia Slachevsky, Andrea Santibañez, Rodrigo Sigman, Mariano García, Adolfo Martín Whelan, Robert Moguilner, Sebastian Gabriel Ibañez, Agustin Mariano |
author2_role |
author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
ALLOSTASIS ALLOSTATIC-INTEROCEPTIVE NETWORK FRONTOTEMPORAL DEMENTIA HEP INTEROCEPTION MULTIMODAL IMAGING PREDICTIVE CODING rsHEP |
topic |
ALLOSTASIS ALLOSTATIC-INTEROCEPTIVE NETWORK FRONTOTEMPORAL DEMENTIA HEP INTEROCEPTION MULTIMODAL IMAGING PREDICTIVE CODING rsHEP |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.1 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
BACKGROUND: The predictive coding theory of allostatic-interoceptive load states that brain networks mediating autonomic regulation and interoceptive-exteroceptive balance regulate the internal milieu to anticipate future needs and environmental demands. These functions seem to be distinctly compromised in behavioral variant frontotemporal dementia (bvFTD), including alterations of the allostatic-interoceptive network (AIN). Here, we hypothesize that bvFTD is typified by an allostatic-interoceptive overload. METHODS: We assessed resting-state heartbeat evoked potential (rsHEP) modulation as well as its behavioral and multimodal neuroimaging correlates in patients with bvFTD relative to healthy control subjects and patients with Alzheimer’s disease (N = 94). We measured 1) resting-state electroencephalography (to assess the rsHEP, prompted by visceral inputs and modulated by internal body sensing), 2) associations between rsHEP and its neural generators (source location), 3) cognitive disturbances (cognitive state, executive functions, facial emotion recognition), 4) brain atrophy, and 5) resting-state functional magnetic resonance imaging functional connectivity (AIN vs. control networks). RESULTS: Relative to healthy control subjects and patients with Alzheimer’s disease, patients with bvFTD presented more negative rsHEP amplitudes with sources in critical hubs of the AIN (insula, amygdala, somatosensory cortex, hippocampus, anterior cingulate cortex). This exacerbated rsHEP modulation selectively predicted the patients’ cognitive profile (including cognitive decline, executive dysfunction, and emotional impairments). In addition, increased rsHEP modulation in bvFTD was associated with decreased brain volume and connectivity of the AIN. Machine learning results confirmed AIN specificity in predicting the bvFTD group. CONCLUSIONS: Altogether, these results suggest that bvFTD may be characterized by an allostatic-interoceptive overload manifested in ongoing electrophysiological markers, brain atrophy, functional networks, and cognition. Fil: Birba, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; Argentina Fil: Santamaría García, Hernando. Pontificia Universidad Javeriana; Colombia Fil: Prado, Pavel. Universidad Adolfo Ibañez; Chile Fil: Cruzat, Josefina. Universidad Adolfo Ibañez; Chile Fil: Sainz Ballesteros, Agustín. Universidad Adolfo Ibañez; Chile Fil: Legaz, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Adolfo Ibañez; Chile Fil: Fittipaldi, Sol. Universidad Adolfo Ibañez; Chile Fil: Duran Aniotz, Claudia. Universidad Adolfo Ibañez; Chile Fil: Slachevsky, Andrea. Universidad de Chile. Facultad de Medicina.; Chile Fil: Santibañez, Rodrigo. Pontificia Universidad Católica de Chile; Chile Fil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Santiago de Chile; Chile. Universidad Adolfo Ibañez; Chile Fil: Whelan, Robert. University of California; Estados Unidos Fil: Moguilner, Sebastian Gabriel. Universidad de San Andrés; Argentina. University of California; Estados Unidos. Universidad Adolfo Ibañez; Chile Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile |
description |
BACKGROUND: The predictive coding theory of allostatic-interoceptive load states that brain networks mediating autonomic regulation and interoceptive-exteroceptive balance regulate the internal milieu to anticipate future needs and environmental demands. These functions seem to be distinctly compromised in behavioral variant frontotemporal dementia (bvFTD), including alterations of the allostatic-interoceptive network (AIN). Here, we hypothesize that bvFTD is typified by an allostatic-interoceptive overload. METHODS: We assessed resting-state heartbeat evoked potential (rsHEP) modulation as well as its behavioral and multimodal neuroimaging correlates in patients with bvFTD relative to healthy control subjects and patients with Alzheimer’s disease (N = 94). We measured 1) resting-state electroencephalography (to assess the rsHEP, prompted by visceral inputs and modulated by internal body sensing), 2) associations between rsHEP and its neural generators (source location), 3) cognitive disturbances (cognitive state, executive functions, facial emotion recognition), 4) brain atrophy, and 5) resting-state functional magnetic resonance imaging functional connectivity (AIN vs. control networks). RESULTS: Relative to healthy control subjects and patients with Alzheimer’s disease, patients with bvFTD presented more negative rsHEP amplitudes with sources in critical hubs of the AIN (insula, amygdala, somatosensory cortex, hippocampus, anterior cingulate cortex). This exacerbated rsHEP modulation selectively predicted the patients’ cognitive profile (including cognitive decline, executive dysfunction, and emotional impairments). In addition, increased rsHEP modulation in bvFTD was associated with decreased brain volume and connectivity of the AIN. Machine learning results confirmed AIN specificity in predicting the bvFTD group. CONCLUSIONS: Altogether, these results suggest that bvFTD may be characterized by an allostatic-interoceptive overload manifested in ongoing electrophysiological markers, brain atrophy, functional networks, and cognition. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05 |
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/11336/234392 Birba, Agustina; Santamaría García, Hernando; Prado, Pavel; Cruzat, Josefina; Sainz Ballesteros, Agustín; et al.; Allostatic-Interoceptive Overload in Frontotemporal Dementia; Elsevier Science Inc.; Biological Psychiatry; 92; 1; 5-2022; 54-67 0006-3223 1873-2402 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/234392 |
identifier_str_mv |
Birba, Agustina; Santamaría García, Hernando; Prado, Pavel; Cruzat, Josefina; Sainz Ballesteros, Agustín; et al.; Allostatic-Interoceptive Overload in Frontotemporal Dementia; Elsevier Science Inc.; Biological Psychiatry; 92; 1; 5-2022; 54-67 0006-3223 1873-2402 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://www.biologicalpsychiatryjournal.com/article/S0006-3223(22)01042-3/fulltext info:eu-repo/semantics/altIdentifier/doi/10.1016/j.biopsych.2022.02.955 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science Inc. |
publisher.none.fl_str_mv |
Elsevier Science Inc. |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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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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13.22299 |