Common factors viewed through the lens of the active inference framework: A mapping review.

Recently, the active inference framework (AIF) has been suggested as a unified theoretical framework for psychopathology and psychotherapy integration. In this line of reasoning, psychopathology and less severe psychological problems stem from clients’ suboptimized generative model. Hence, the goal of psychotherapy is to help change clients’ generative model to better account for their current life circumstances. The aim of this mapping review was to summarize existing explanations and conceptualization of psychotherapy common factors from the AIF perspective. Searching the PsycArticles, PsycInfo, and MEDLINE databases, 22 eligible studies were identified. Using the taxonomy of common factors by Tschacher et al. (2014), AIF conceptualizations were found for therapeutic alliance, mindfulness, mentalization, cognitive restructuring, a new narrative about self, insight, desensitization, corrective emotional experience, and client feedback. Generally, changes in clients’ generative models can be achieved via two general strategies: (i) promotion of prediction errors by expectation violation, resulting in changes in priors (e.g., desensitization and corrective emotional experience); and (ii) decreasing the overall precision of prior beliefs and increasing the precision of bottom-up signals (e.g., mindfulness). Furthermore, the authors proposed AIF conceptualization for selected common factors that were not discussed. Finally, the authors linked the application of the AIF to other models of psychotherapy processes as a complex system (e.g., synergetics) and proposed directions for future research.

Authors

Publication Details

Journal
Journal of Psychotherapy Integration
Published
2024-09-19
DOI
https://doi.org/10.1037/int0000350
Citations
2
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
0.98

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Common factors viewed through the lens of the active inference framework: A mapping review.

Tomáš Řiháček, Petra Hubatka
2 citations
Journal of Psychotherapy Integration
Complex Systems and Decision Making
0.98
article

Common factors viewed through the lens of the active inference framework: A mapping review.

Tomáš Řiháček, Petra Hubatka
article en
2 citations

Abstract

Recently, the active inference framework (AIF) has been suggested as a unified theoretical framework for psychopathology and psychotherapy integration. In this line of reasoning, psychopathology and less severe psychological problems stem from clients’ suboptimized generative model. Hence, the goal of psychotherapy is to help change clients’ generative model to better account for their current life circumstances. The aim of this mapping review was to summarize existing explanations and conceptualization of psychotherapy common factors from the AIF perspective. Searching the PsycArticles, PsycInfo, and MEDLINE databases, 22 eligible studies were identified. Using the taxonomy of common factors by Tschacher et al. (2014), AIF conceptualizations were found for therapeutic alliance, mindfulness, mentalization, cognitive restructuring, a new narrative about self, insight, desensitization, corrective emotional experience, and client feedback. Generally, changes in clients’ generative models can be achieved via two general strategies: (i) promotion of prediction errors by expectation violation, resulting in changes in priors (e.g., desensitization and corrective emotional experience); and (ii) decreasing the overall precision of prior beliefs and increasing the precision of bottom-up signals (e.g., mindfulness). Furthermore, the authors proposed AIF conceptualization for selected common factors that were not discussed. Finally, the authors linked the application of the AIF to other models of psychotherapy processes as a complex system (e.g., synergetics) and proposed directions for future research.

Journal of Psychotherapy IntegrationVol. 35(1)
European Commission, Ministerstvo Školství, Mládeže a Tělovýchovy
Openalex Percentile: Top 21%
Complex Systems and Decision Making
0.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.