Article (Scientific journals)
A predictive coding framework of allostatic-interoceptive overload in frontotemporal dementia.
Migeot, Joaquin A; Duran-Aniotz, Claudia A; Signorelli, Camilo Miguel et al.
2022In Trends in Neurosciences, 45 (11), p. 838 - 853
Peer Reviewed verified by ORBi
 

Files


Full Text
PIIS016622362200162X.pdf
Publisher postprint (2.02 MB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
allostatic interoception; allostatic overload; frontotemporal dementia; interoception; predictive coding; Humans; Magnetic Resonance Imaging; Atrophy; Frontotemporal Dementia; Interoception; Cognitive Dysfunction/complications; Cognitive Dysfunction; Neuroscience (all); General Neuroscience
Abstract :
[en] 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.
Disciplines :
Human health sciences: Multidisciplinary, general & others
Author, co-author :
Migeot, Joaquin A;  Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile, Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibanez, Santiago, Chile
Duran-Aniotz, Claudia A;  Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile, Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibanez, Santiago, Chile
Signorelli, Camilo Miguel  ;  Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Physiology of Cognition
Piguet, Olivier;  The University of Sydney, School of Psychology and Brain & Mind Centre, Sydney, Australia
Ibáñez, Agustín ;  Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile, Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Global Brain Health Institute, University of California-San Francisco, San Francisco, CA, USA, and Trinity College Dublin, Dublin, Ireland. Electronic address: agustin.ibanez@gbhi.org
Language :
English
Title :
A predictive coding framework of allostatic-interoceptive overload in frontotemporal dementia.
Publication date :
November 2022
Journal title :
Trends in Neurosciences
ISSN :
0166-2236
Publisher :
Elsevier Ltd, England
Volume :
45
Issue :
11
Pages :
838 - 853
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
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.
Available on ORBi :
since 24 July 2023

Statistics


Number of views
23 (6 by ULiège)
Number of downloads
24 (2 by ULiège)

Scopus citations®
 
32
Scopus citations®
without self-citations
9
OpenCitations
 
3
OpenAlex citations
 
39

Bibliography


Similar publications



Contact ORBi