Publication:
Allostatic-Interoceptive Overload in Frontotemporal Dementia

dc.contributor.authorBirba, Agustina
dc.contributor.authorSantamaría-García, Hernando
dc.contributor.authorPrado, Pavel
dc.contributor.authorCruzat, Josefina
dc.contributor.authorSainz Ballesteros , Agustín
dc.contributor.authorLegaz , Agustina
dc.contributor.authorFittipaldi, Sol
dc.contributor.authorDuran-Aniotz , Claudia
dc.contributor.authorSlachevsky Chonchol, Andrea
dc.contributor.authorSantibañez , Rodrigo
dc.contributor.authorSigman , Mariano
dc.contributor.authorM. García , Adolfo
dc.contributor.authorWhelan , Robert
dc.contributor.authorMoguilner , Sebastián
dc.contributor.authorIbáñez , Agustín
dc.date.accessioned2024-06-12T15:36:33Z
dc.date.available2024-06-12T15:36:33Z
dc.date.issued2022
dc.description.abstractBackground : 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.
dc.description.versionVersión publicada
dc.format.extent14 p.
dc.identifier.citationBirba, A., Santamaría-García, H., Prado, P., Cruzat, J., Ballesteros, A. S., Legaz, A., Fittipaldi, S., Duran-Aniotz, C., Slachevsky, A., Santibañez, R., Sigman, M., García, A. M., Whelan, R., Moguilner, S., & Ibáñez, A. (2022). Allostatic-Interoceptive Overload in Frontotemporal Dementia. Biological Psychiatry, 92(1), 54-67.
dc.identifier.doihttps://doi.org/10.1016/j.biopsych.2022.02.955
dc.identifier.issn0006-3223
dc.identifier.urihttps://hdl.handle.net/11447/9077
dc.language.isoen
dc.rightsAtribución-NoComercial-CompartirIgual 3.0 Chile (CC BY-NC-SA 3.0 CL)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/cl/
dc.subjectAllostasis
dc.subjectAllostatic-interoceptive network
dc.subjectFrontotemporal dementia
dc.subjectHEP
dc.subjectInteroception
dc.subjectMultimodal imaging
dc.subjectPredictive coding
dc.subjectrsHEP
dc.titleAllostatic-Interoceptive Overload in Frontotemporal Dementia
dc.typeArticle
dcterms.accessRightsAcceso abierto
dcterms.sourceBiological Psychiatry
dspace.entity.typePublication
relation.isAuthorOfPublicatione25c3d3e-63b5-4e04-951a-12a4989aa772
relation.isAuthorOfPublication.latestForDiscoverye25c3d3e-63b5-4e04-951a-12a4989aa772

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