TY - JOUR
T1 - A predictive coding framework of allostatic–interoceptive overload in frontotemporal dementia
AU - Migeot, Joaquin A.
AU - Duran-Aniotz, Claudia A.
AU - Signorelli, Camilo M.
AU - Piguet, Olivier
AU - Ibáñez, Agustín
N1 - Funding Information:
A.I. is partially supported by grants from Takeda CW2680521 ; CONICET ; ANID/FONDECYT Regular ( 1210195 and 1210176 ); FONCYT-PICT 2017-1820 ; ANID/FONDAP/15150012 ; Sistema General de Regalías (BPIN2018000100059), Universidad del Valle (CI 5316); Programa Interdisciplinario de Investigación Experimental en Comunicación y Cognición (PIIECC) , Facultad de Humanidades, USACH ; Alzheimer’s Association GBHI ALZ UK-20-639295 ; and the MULTI-PARTNER CONSORTIUM TO EXPAND DEMENTIA RESEARCH IN LATIN AMERICA [ReDLat, supported by National Institutes of Health , National Institutes of Aging ( R01 AG057234 ), Alzheimer’s Association ( SG-20-725707 ), Rainwater Charitable foundation - Tau Consortium , and Global Brain Health Institute)]. C.D.A. is partially supported by 2018-AARG-591107 , ANID/FONDEF ID20I10152 , ANID/FONDECYT 1210622, and ANID/PIA/ANILLOS ACT210096 . C.M.S. is supported by the FNRS MIS project ‘Evidencing sentience in low arousal states by probing brain-body interactions’ (2020) and Human Brain Project task, Brain Inspired Consciousness (BRICON). O.P. is supported by a National Health and Medical Research Council of Australia Leadership Fellowship ( GNT2008020 ). The contents of this publication are solely the responsibility of the authors and do not represent the official views of these institutions.
Publisher Copyright:
© 2022 The Author(s)
PY - 2022/11
Y1 - 2022/11
N2 - Recent allostatic–interoceptive explanations using predictive coding models propose that efficient regulation of the body's internal milieu is necessary to correctly anticipate environmental needs. We review this framework applied to understanding behavioral variant frontotemporal dementia (bvFTD) considering both allostatic overload and interoceptive deficits. First, we show how this framework could explain divergent deficits in bvFTD (cognitive impairments, behavioral maladjustment, brain atrophy, fronto-insular-temporal network atypicality, aberrant interoceptive electrophysiological activity, and autonomic disbalance). We develop a set of theory-driven predictions based on levels of allostatic interoception associated with bvFTD phenomenology and related physiopathological mechanisms. This approach may help further understand the disparate behavioral and physiopathological dysregulations of bvFTD, suggesting targeted interventions and strengthening clinical models of neurological and psychiatric disorders.
AB - Recent allostatic–interoceptive explanations using predictive coding models propose that efficient regulation of the body's internal milieu is necessary to correctly anticipate environmental needs. We review this framework applied to understanding behavioral variant frontotemporal dementia (bvFTD) considering both allostatic overload and interoceptive deficits. First, we show how this framework could explain divergent deficits in bvFTD (cognitive impairments, behavioral maladjustment, brain atrophy, fronto-insular-temporal network atypicality, aberrant interoceptive electrophysiological activity, and autonomic disbalance). We develop a set of theory-driven predictions based on levels of allostatic interoception associated with bvFTD phenomenology and related physiopathological mechanisms. This approach may help further understand the disparate behavioral and physiopathological dysregulations of bvFTD, suggesting targeted interventions and strengthening clinical models of neurological and psychiatric disorders.
KW - allostatic interoception
KW - allostatic overload
KW - frontotemporal dementia
KW - interoception
KW - predictive coding
UR - http://www.scopus.com/inward/record.url?scp=85137026288&partnerID=8YFLogxK
U2 - 10.1016/j.tins.2022.08.005
DO - 10.1016/j.tins.2022.08.005
M3 - Review article
AN - SCOPUS:85137026288
SN - 0166-2236
VL - 45
SP - 838
EP - 853
JO - Trends in Neurosciences
JF - Trends in Neurosciences
IS - 11
ER -