Individual differences in probabilistic learning and updating predictive representations in individuals with obsessive-compulsive tendencies DOI Creative Commons
Bianka Brezóczki, Bence Csaba Farkas, Flóra Hann

et al.

BMC Psychiatry, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 11, 2025

Abstract Background Obsessive-compulsive (OC) tendencies involve intrusive thoughts and rigid, repetitive behaviours that also manifest at the subclinical level in general population. The neurocognitive factors driving development persistence of excessive presence these remain highly elusive, though emerging theories emphasize role implicit information processing. Despite various empirical studies on distinct processes, incidental retrieval environmental structures dynamic noisy environments, such as probabilistic learning, has received relatively little attention. Methods In this study, we aimed to unravel potential individual differences learning updating predictive representations related OC a non-clinical We conducted two independent online experiments (N Study1 = 164, N Study2 256) with university students. Probabilistic was assessed using an visuomotor task, involving sequences second-order non-adjacent dependencies. Results Our findings revealed remained remarkably robust among within Furthermore, results highlighted effective capabilities representations, which were not influenced by tendencies. Conclusions These offer new insights into relation tendencies, contributing theoretical, methodological, practical approaches for understanding maladaptive behavioural manifestations disorder

Language: Английский

Individual differences in probabilistic learning and updating predictive representations in individuals with obsessive-compulsive tendencies DOI Creative Commons
Bianka Brezóczki, Bence Csaba Farkas, Flóra Hann

et al.

BMC Psychiatry, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 11, 2025

Abstract Background Obsessive-compulsive (OC) tendencies involve intrusive thoughts and rigid, repetitive behaviours that also manifest at the subclinical level in general population. The neurocognitive factors driving development persistence of excessive presence these remain highly elusive, though emerging theories emphasize role implicit information processing. Despite various empirical studies on distinct processes, incidental retrieval environmental structures dynamic noisy environments, such as probabilistic learning, has received relatively little attention. Methods In this study, we aimed to unravel potential individual differences learning updating predictive representations related OC a non-clinical We conducted two independent online experiments (N Study1 = 164, N Study2 256) with university students. Probabilistic was assessed using an visuomotor task, involving sequences second-order non-adjacent dependencies. Results Our findings revealed remained remarkably robust among within Furthermore, results highlighted effective capabilities representations, which were not influenced by tendencies. Conclusions These offer new insights into relation tendencies, contributing theoretical, methodological, practical approaches for understanding maladaptive behavioural manifestations disorder

Language: Английский

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