The future of psychological treatments: The Marburg Declaration

Clinical Psychology Review, Journal Year: 2024, Volume and Issue: 110, P. 102417 - 102417

Published: March 25, 2024

Although psychological treatments are broadly recognized as evidence-based interventions for various mental disorders, challenges remain. For example, a substantial proportion of patients receiving such do not fully recover, and many obstacles hinder the dissemination, implementation, training treatments. These problems require those in our field to rethink some basic models disorders their treatments, question how research practice clinical psychology should progress. To answer these questions, group experts convened at Think-Tank Marburg, Germany, August 2022 review evidence analyze barriers current future developments. After this event, an overview state-of-the-art was drafted suggestions improvements specific recommendations were integrated. Recommendations arising from meeting cover further improving through translational approaches, methodology, bridging gap between more nomothetic (group-oriented) studies idiographic (person-centered) decisions, using network approaches addition selecting single mechanisms embrace complexity reality, making use scalable digital options assessments interventions, education psychotherapists, accepting societal responsibilities that has national global health care. The objective Marburg Declaration is stimulate significant change regarding understanding with aim trigger new era interventions.

Language: Английский

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Interoception in Autism: A Narrative Review of Behavioral and Neurobiological Data

Psychology Research and Behavior Management, Journal Year: 2024, Volume and Issue: Volume 17, P. 1841 - 1853

Published: May 1, 2024

While exteroceptive sensory processing is a hallmark of autism spectrum disorder, how interoceptive may impact and contribute to symptomatology remains unclear. In this comprehensive narrative review on interoception in autism, we discuss: 1) difficulties with assessing interoception; 2) potential differences; 3) interactions between neural systems for interoception, attention, sensorimotor processing, cognition; 4) differences circuits involved interoception. general, there are mixed findings autism. Nevertheless, some data indicate integration information symptomatology. Neurologically, be impacted by the development, morphometry, connectivity key hubs (vagal brainstem, thalamus, insula), though much work needed topic.

Language: Английский

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Predictive Coding algorithms induce brain-like responses in Artificial Neural Networks

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Abstract This study explores whether predictive coding (PC) inspired Deep Neural Networks can serve as biologically plausible neural network models of the brain. We compared two PC-inspired training objectives, a and contrastive approach, to supervised baseline in simple Recurrent Network (RNN) architecture. evaluated on key signatures PC, including mismatch responses, formation priors, learning semantic information. Our results show that models, especially locally trained model, exhibited these PC-like behaviors better than Supervised or an Untrained RNN. Further, we found activity regularization evokes response-like effects across all suggesting it may proxy for energy-saving principles PC. Finally, find Gain Control (an important mechanism PC framework) be implemented using weight regularization. Overall, our findings indicate are able capture computational processing brain, promising foundation building artificial networks. work contributes understanding relationship between biological networks, highlights potential algorithms advancing brain modelling well brain-inspired machine learning.

Language: Английский

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Antifragile control systems in neuronal processing: a sensorimotor perspective

Biological Cybernetics, Journal Year: 2025, Volume and Issue: 119(2-3)

Published: Feb. 15, 2025

Language: Английский

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Computational Approaches for Uncovering Interoceptive Mechanisms in Psychiatric Disorders and Their Biological Basis

Current topics in behavioral neurosciences, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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Human regulatory systems in the age of abundance: A predictive processing perspective

Annals of the New York Academy of Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 28, 2025

Abstract Human regulatory systems largely evolved under conditions of food and information scarcity but are now being forced to deal with abundance. The impact abundance the inability human adapt it have fed a surge in dual health challenges: (1) rise obesity related (2) stress anxiety No single framework has been developed describe why how transition from so challenging. Here, we provide speculative model based on predictive processing. We suggest that whereas (above destructive lower bounds like famine or voids) preserves fidelity relationship between prediction errors predictions, distorts this relationship. Furthermore, error minimization is enhanced (as number competing states niche restricted), opposite true also discuss warps fundamental drive for seeking novelty by fueling brain's exploration opposed exploitation) mode. Ameliorative strategies regulating may depend simulating scarcity, environmental condition which adapted over millennia.

Language: Английский

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Pathological Forgetting from a Predictive Processing Perspective

Neuroscience & Biobehavioral Reviews, Journal Year: 2025, Volume and Issue: unknown, P. 106109 - 106109

Published: March 1, 2025

Language: Английский

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Can a single brain cell be surprised?

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 4, 2025

Language: Английский

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Sustainability under Active Inference

Published: May 2, 2024

In this paper we explore the known connection among sustainability, resilience, and well-being within framework of active inference. Initially, revisit how notions resilience intersect inference before defining sustainability. We adopt a holistic concept sustainability denoting enduring capacity to meet needs over time without depleting crucial resources. It extends beyond material wealth encompass community networks, labor, knowledge. Using Free Energy Principle, can emphasize role fostering resource renewal, harmonious system-entity exchanges, practices that encourage self-organization as pathways achieving both in an agent collectives. start by connecting Active Inference with well-being, building on exsiting work. then attempt link asserting alone is insufficient for sustainable outcomes. While absorbing shocks stresses, must be intrinsically linked ensure adaptive capacities do not merely perpetuate existing vulnerabilities. Rather, it should facilitate transformative processes address root causes unsustainability. Sustainability, therefore, manifest across extended timescales all system strata, from individual components broader system, uphold ecological integrity, economic stability, social well-being. explain manifests at level agent, collectives systems. To model quantify interdependencies between resources their impact overall introduce application network theory dynamical systems theory. optimization precision or learning rates through framework, advocating approach fosters elastic plastic necessary long-term abundance.

Language: Английский

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Sustainability under Active Inference

Systems, Journal Year: 2024, Volume and Issue: 12(5), P. 163 - 163

Published: May 4, 2024

In this paper, we explore the known connection among sustainability, resilience, and well-being within framework of active inference. Initially, revisit how notions resilience intersect inference before defining sustainability. We adopt a holistic concept sustainability denoting enduring capacity to meet needs over time without depleting crucial resources. It extends beyond material wealth encompass community networks, labor, knowledge. Using free energy principle, can emphasize role fostering resource renewal, harmonious system–entity exchanges, practices that encourage self-organization as pathways achieving both an agent part collective. start by connecting with well-being, building on existing work. then attempt link asserting alone is insufficient for sustainable outcomes. While absorbing shocks stresses, must be intrinsically linked ensure adaptive capacities do not merely perpetuate vulnerabilities. Rather, it should facilitate transformative processes address root causes unsustainability. Sustainability, therefore, manifest across extended timescales all system strata, from individual components broader system, uphold ecological integrity, economic stability, social well-being. explain manifests at level collectives systems. To model quantify interdependencies between resources their impact overall introduce application network theory dynamical systems theory. optimization precision or learning rates through framework, advocating approach fosters elastic plastic necessary long-term abundance.

Language: Английский

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