A cognitive-computational account of mood swings in adolescence

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved..

Teenagers have a reputation for being fickle, in both their choices and their moods. This variability may help adolescents as they begin to independently navigate novel environments. Recently, however, adolescent moodiness has also been linked to psychopathology. Here, we consider adolescents' mood swings from a novel computational perspective, grounded in reinforcement learning (RL). This model proposes that mood is determined by surprises about outcomes in the environment, and how much we learn from these surprises. It additionally suggests that mood biases learning and choice in a bidirectional manner. Integrating independent lines of research, we sketch a cognitive-computational account of how adolescents' mood, learning, and choice dynamics influence each other, with implications for normative and psychopathological development.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:28

Enthalten in:

Trends in cognitive sciences - 28(2024), 4 vom: 19. Apr., Seite 290-303

Sprache:

Englisch

Beteiligte Personen:

Gregorová, Klára [VerfasserIn]
Eldar, Eran [VerfasserIn]
Deserno, Lorenz [VerfasserIn]
Reiter, Andrea M F [VerfasserIn]

Links:

Volltext

Themen:

Adolescence
Emotional reactivity
Journal Article
Mood fluctuations
Mood instability
Mood variability
Prediction error
Reinforcement learning
Review

Anmerkungen:

Date Completed 05.04.2024

Date Revised 05.04.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.tics.2024.02.006

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369932390