Biology subjects

Farkas, B. C.

Publications and source records attributed to Farkas, B. C..

7 recordsLinked to original sources

bioRxiv2025

Faster adult implicit probabilistic statistical learning following childhood adversity

According to deficit models, early life adversity disrupts normal development, leading to long-term emotional, behavioural, and cognitive difficulties. However, some evidence suggests that certain psychological skills may be preserved or even enhanced by early adversity. We hypothesised that implicit learning and memory would be equally effective in individuals exposed to childhood adversity and those from more favourable backgrounds, and compared the effects of childhood versus adult adversity. To this aim, retrospective childhood harshness and unpredictability measurements and current perceived socio-economic status were collected in a sample of 325 participants at a Hungarian university taking part in an online experiment. They also completed a task allowing the assessment of multiple components of implicit statistical learning, including initial acquisition of regularities, consolidation of established regularities, resistance of established regularities against interference, and acquisition of novel regularities. Results showed that although statistical learning reached the same eventual level, its pace was quicker in individuals with relatively greater early life adversity exposure. Conversely, lower current socio-economic status was linked to reduced learning performance. These findings partially support the hidden talents framework, suggesting that early adversity may promote certain adaptive cognitive skills.

neuroscience↗

bioRxiv2025

Associations between reproduction-focused life strategy, sex and Borderline Personality Disorder symptom expression: Evidence from the NESARC national study.

IntroductionBorderline personality disorder (BPD) features span internalizing and externalizing dimensions of psychopathology, and their expression varies across biological sexes. Despite substantial research efforts, major gaps remain in our understanding of this heterogeneity, particularly regarding its developmental underpinnings. Life history theory, a leading framework in evolutionary developmental biology, can help make sense of this heterogeneity. MethodsIn a large nationally representative prospective survey (n = 34 653), the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), we used Multi-group MIMIC models to investigate whether and how the degree to which individuals trade off somatic maintenance against short-term reproductive goals relates to severity of BPD at a general and a single symptom level, and whether these associations differ between men and women in the general adult population. ResultsMen and women prioritizing short-term reproductive goals over somatic maintenance were more likely to endorse each of the 9 DSM-IV BPD symptoms through higher BPD severity, and were more likely to express impulsivity (b=0.11; SE, 0.018; p<.001) and suicidal/self-mutilation behavior (b =0.24; SE, 0.026; p< .001) and less likely to endorse stress-related paranoid ideation (b=-0.066; SE, 0.023; p=.004). Finally, females with a reproduction-oriented life history strategy were more likely to endorse affective instability than males (Females: b=0.12; SE, 0.025; p<.001; Males: b=-0.015; SE, 0.044; p=0.73). ConclusionsAn evolutionary-developmental framework, rooted in human life history theory can help make sense of the heterogeneous manifestations of BPD. Our work also opens the door for future research on the interplay of the reproduction/maintenance trade-off with other genetic and environmental factors and developmental processes in explaining the occurrence of BPD symptoms.

evolutionary biology↗

bioRxiv2025

Obsessive-Compulsive Tendencies Shift the Balance Between Competitive Neurocognitive Processes

Theoretical models of Obsessive-Compulsive Disorder (OCD) emphasize that symptoms may arise from an imbalance between habitual and goal-directed processes, characterized by increased reliance on habitual behavior and reduced efficiency of goal-directed control. However, it remains unclear whether similar alterations appear at a more general functional level, beyond reward-driven mechanisms. The present study, therefore, investigated the relationship between statistical learning (SL), an implicit, reward-independent mechanism that supports the detection of environmental regularities and the formation of habitual behaviour, and cognitive flexibility, defined as the capacity to adapt behaviour and cognitive strategies to changing environmental demands. By adopting a dimensional approach to obsessive-compulsive (OC) tendencies in a university student sample, we aimed to clarify how continuous symptom variability relates to the interaction of these neurocognitive functions. A total of 404 participants completed an online experiment, including a probabilistic sequence learning task assessing SL and a card-sorting task measuring cognitive flexibility. Results revealed an antagonistic relationship between SL and cognitive flexibility. Importantly, this inverse association weakened as OC tendencies increased, suggesting that OC tendencies may alter the balance between automatic and goal-directed functions. HighlightsO_LICD theories propose an imbalance between automatic and goal-directed control systems. C_LIO_LItested whether this imbalance emerges at a functional level, beyond reward-based learning. C_LIO_LIlearning and cognitive flexibility showed an antagonistic relationship in a university student sample. C_LIO_LIinverse association weakened as obsessive-compulsive tendencies increased. C_LIO_LIC tendencies alter the interaction between automatic learning and executive control. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=174 HEIGHT=200 SRC="FIGDIR/small/669948v4_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@9f700corg.highwire.dtl.DTLVardef@1752b54org.highwire.dtl.DTLVardef@16f9a98org.highwire.dtl.DTLVardef@e99e6_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2024

The interplay between executive functions and updating predictive representations

Modifying habits, particularly unwanted behaviors, is often challenging. Cognitive research has focused on understanding the mechanisms underlying habit formation and how habits can be rewired. A key mechanism is statistical learning, the continuous, implicit extraction of probabilistic patterns from the environment, which forms the basis of predictive processing. However, the interplay between executive functions (EF) and the rewiring - or updating - of these probabilistic representations remains largely unexplored. To address this gap, we conducted an experiment consisting of four sessions: 1) Learning Phase - acquisition of probabilistic representations, 2) Rewiring Phase - updating these probabilistic representations, 3) Retrieval Phase - accessing learned representations, and 4) EF assessment, targeting five key aspects: attentional control, inhibition, working memory, flexibility, and verbal fluency. We focused on the relationship between these EF measures and the updating of previously acquired knowledge using an interindividual differences approach. Our results revealed a positive relationship between rewiring and inhibition, suggesting that better inhibitory control may facilitate the adaptive restructuring of probabilistic predictive representations. Conversely, a negative relationship was identified between rewiring and semantic fluency, implying that certain underlying aspects of verbal fluency tasks, such as access to long-term memory representations, may hinder the updating process. We interpret this relationship through the lens of competitive memory network models. Our findings indicate that the rewiring of implicit probabilistic representations is a multifaceted cognitive process requiring both the suppression of proactive interference from prior knowledge through cognitive inhibition and a strong reliance on model-free functioning.

neuroscience↗

bioRxiv2024

Individual differences in probabilistic learning and updating predictive representations in individuals with obsessive-compulsive tendencies

Obsessive-compulsive (OC) tendencies involve intrusive thoughts and rigid, repetitive behaviours that also manifest at the subclinical level in the general population. The neurocognitive factors driving the development and persistence of the excessive presence of these tendencies remain highly elusive, though emerging theories emphasize the role of implicit information processing. Despite various empirical studies on distinct neurocognitive processes, the incidental retrieval of environmental structures in dynamic and noisy environments, such as probabilistic learning, has received relatively little attention. In this study, we aimed to unravel potential individual differences in implicit probabilistic learning and the updating of predictive representations related to OC tendencies in the general population. We conducted two independent online experiments (NStudy1 = 164, NStudy2 = 257) with young adults. Probabilistic learning was assessed using a reliable implicit visuomotor probabilistic learning task, which involved sequences with second-order non-adjacent dependencies. Our findings revealed that even among individuals displaying a broad spectrum of OC tendencies within a non-clinical population, implicit probabilistic learning remained remarkably robust. Furthermore, the results highlighted effective updating capabilities of predictive representations, which were not influenced by OC tendencies. These results offer new insights into individual differences in probabilistic learning and updating in relation to OC tendencies, contributing to theoretical, methodological, and practical approaches for understanding the maladaptive behavioural manifestations of OC disorder and subclinical tendencies.

neuroscience↗

bioRxiv2024

MIND WANDERING DURING IMPLICIT LEARNING IS ASSOCIATED WITH INCREASED PERIODIC EEG ACTIVITY AND IMPROVED EXTRACTION OF HIDDEN PROBABILISTIC PATTERNS

Mind wandering, occupying 30-50% of our waking time, remains an enigmatic phenomenon in cognitive neuroscience. Predominantly viewed negatively, mind wandering is often associated with detrimental impacts on attention-demanding (model-based) tasks in both natural settings and laboratory conditions. Mind wandering however, might not be detrimental for all cognitive domains. We proposed that mind wandering may facilitate model-free processes, such as probabilistic learning, which relies on the automatic acquisition of statistical regularities with minimal attentional demands. We administered a well-established implicit probabilistic learning task combined with mind wandering thought probes in healthy adults (N = 37, 30 females). To explore the neural correlates of mind wandering and probabilistic learning, participants were fitted with high-density electroencephalography. Our findings indicate that probabilistic learning was not only immune to periods of mind wandering, but was positively associated with it. Spontaneous, as opposed to deliberate mind wandering, was particularly beneficial for extracting the probabilistic patterns hidden in the visual stream. Additionally, cortical oscillatory activity in the low-frequency (slow and delta) range, indicative of covert sleep-like states, was associated with both mind wandering and improved probabilistic learning, particularly in the early stages of the task. Given the importance of probabilistic implicit learning in predictive processing, our findings provide novel insights into the potential cognitive benefits of task-unrelated thoughts in addition to shedding light on its neural mechanisms. This surprising benefit challenges the predominant view of mind wandering as solely detrimental and highlights its complex role in human cognition, especially in memory consolidation. Statement of significanceMind wandering poses an unresolved puzzle for cognitive neuroscience: it is associated with poor performance in various cognitive domains, yet humans spend 30-50% of their waking time mind wandering. We proposed that mind wandering may be beneficial for less attention-demanding cognitive processes requiring automatic, habitual learning. We assessed an implicit probabilistic learning task measuring the ability to extract (without awareness) hidden regularities from the information stream. Participants showed superior performance in probabilistic learning during periods of mind wandering, especially when such task-unrelated thoughts occurred spontaneously without intention. Moreover, mind wandering and probabilistic learning were both associated with slow frequency neural activity, suggesting that mind wandering may reflect a transient, offline state facilitating rapid learning and memory consolidation.

neuroscience↗

bioRxiv2023

Evidence for a competitive relationship between executive functions and statistical learning

The ability of the brain to extract patterns from the environment and predict future events, known as statistical learning, has been proposed to interact in a competitive manner with prefrontal lobe related networks and their characteristic cognitive or executive functions. However, it remains unclear whether these cognitive functions also show competitive relationship with implicit statistical learning across individuals and at the level of latent executive function components. In order to address this currently unknown aspect, we investigated, in two independent experiments (NStudy1 = 186, NStudy2 = 157), the relationship between implicit statistical learning, measured by the Alternating Serial Reaction Time task, and executive functions, measured by multiple neuropsychological tests. In both studies, a modest, but consistent negative correlation between implicit statistical learning and most executive function measures was observed. Factor analysis further revealed that a factor representing the verbal fluency and complex working memory seemed to drive these negative correlations. Thus, an antagonism between implicit statistical learning and executive functions might specifically be mediated by updating component of executive functions or/and long-term memory access.

animal behavior and cognition↗