A predictive coding framework of allostatic–interoceptive overload in frontotemporal dementia

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 (bvF...

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Detalles Bibliográficos
Autores: Migeot, Joaquin A., Duran Aniotz, Claudia A., Signorelli, Camilo M., Piguet, Olivier, Ibañez, Agustin Mariano
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/206059
Acceso en línea:http://hdl.handle.net/11336/206059
Access Level:acceso abierto
Palabra clave:ALLOSTATIC INTEROCEPTION
ALLOSTATIC OVERLOAD
FRONTOTEMPORAL DEMENTIA
INTEROCEPTION
PREDICTIVE CODING
https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
Descripción
Sumario: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.