TY - JOUR AU - Kóbor, Andrea AU - Janacsek, Karolina AU - Hermann, Petra AU - Zavecz, Zsófia AU - Varga, Vera AU - Csépe, Valéria AU - Vidnyánszky, Zoltán AU - Kovács, Gyula AU - Németh, Dezső TI - Finding Pattern in the Noise: Persistent Implicit Statistical Knowledge Impacts the Processing of Unpredictable Stimuli JF - JOURNAL OF COGNITIVE NEUROSCIENCE J2 - J COGNITIVE NEUROSCI VL - 2024 PY - 2024 SP - 1 EP - 26 PG - 26 SN - 0898-929X DO - 10.1162/jocn_a_02173 UR - https://m2.mtmt.hu/api/publication/34836090 ID - 34836090 AB - Humans can extract statistical regularities of the environment to predict upcoming events. Previous research recognized that implicitly acquired statistical knowledge remained persistent and continued to influence behavior even when the regularities were no longer present in the environment. Here, in an fMRI experiment, we investigated how the persistence of statistical knowledge is represented in the brain. Participants (n = 32) completed a visual, four-choice, RT task consisting of statistical regularities. Two types of blocks constantly alternated with one another throughout the task: predictable statistical regularities in one block type and unpredictable ones in the other. Participants were unaware of the statistical regularities and their changing distribution across the blocks. Yet, they acquired the statistical regularities and showed significant statistical knowledge at the behavioral level not only in the predictable blocks but also in the unpredictable ones, albeit to a smaller extent. Brain activity in a range of cortical and subcortical areas, including early visual cortex, the insula, the right inferior frontal gyrus, and the right globus pallidus/putamen contributed to the acquisition of statistical regularities. The right insula, inferior frontal gyrus, and hippocampus as well as the bilateral angular gyrus seemed to play a role in maintaining this statistical knowledge. The results altogether suggest that statistical knowledge could be exploited in a relevant, predictable context as well as transmitted to and retrieved in an irrelevant context without a predictable structure. LA - English DB - MTMT ER - TY - JOUR AU - Pedraza, Felipe AU - Farkas, Bence C. AU - Vékony, Teodóra AU - Haesebaert, Frederic AU - Phelipon, Romane AU - Mihalecz, Imola AU - Janacsek, Karolina AU - Anders, Royce AU - Tillmann, Barbara AU - Plancher, Gaën AU - Németh, Dezső TI - Evidence for a competitive relationship between executive functions and statistical learning JF - NPJ SCIENCE OF LEARNING J2 - NPJ SCI LEARN VL - 9 PY - 2024 IS - 1 PG - 14 SN - 2056-7936 DO - 10.1038/s41539-024-00243-9 UR - https://m2.mtmt.hu/api/publication/34799477 ID - 34799477 AB - 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 possess a 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 (N Study1 = 186, N Study2 = 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 verbal fluency and complex working memory seemed to drive these negative correlations. Thus, the antagonistic relationship between implicit statistical learning and executive functions might specifically be mediated by the updating component of executive functions or/and long-term memory access. LA - English DB - MTMT ER - TY - JOUR AU - Farkas, Kinga AU - Pesthy, Orsolya AU - Janacsek, Karolina AU - Németh, Dezső TI - Interpersonal Distance Theory of Autism and Its Implication for Cognitive Assessment, Therapy, and Daily Life JF - PERSPECTIVES ON PSYCHOLOGICAL SCIENCE J2 - PERSPECT PSYCHOL SCI VL - 19 PY - 2024 IS - 1 SP - 126 EP - 136 PG - 11 SN - 1745-6916 DO - 10.1177/17456916231180593 UR - https://m2.mtmt.hu/api/publication/34053699 ID - 34053699 AB - The interpersonal distance (IPD) theory provides a novel approach to studying autism spectrum disorder (ASD). In this article, we present recent findings on the neurobiological underpinnings of IPD regulation that are distinct in individuals with ASD. We also discuss the potential influence of environmental factors on IPD. We suggest that different IPD regulation may have implications for cognitive performance in experimental and diagnostic settings, may influence the effectiveness of training and therapy, and may play a role in the typical forms of social communication and leisure activities chosen by autistic individuals. We argue that reconsidering the results of ASD research through the lens of IPD would lead to a different interpretation of previous findings. Finally, we propose a methodological approach to study this phenomenon systematically. LA - English DB - MTMT ER - TY - JOUR AU - Farkas, Csaba Bence AU - Krajcsi, Attila AU - Janacsek, Karolina AU - Németh, Dezső TI - The complexity of measuring reliability in learning tasks: An illustration using the Alternating Serial Reaction Time Task JF - BEHAVIOR RESEARCH METHODS J2 - BEHAV RES METHODS VL - 56 PY - 2024 IS - 1 SP - 301 EP - 317 PG - 17 SN - 1554-351X DO - 10.3758/s13428-022-02038-5 UR - https://m2.mtmt.hu/api/publication/33567535 ID - 33567535 N1 - Université Paris-Saclay, UVSQ, Inserm, CESP, Villejuif, 94807, France Institut du Psychotraumatisme de l’Enfant et de l’Adolescent, Conseil Départemental Yvelines et Hauts-de-Seine, CH Versailles, Versailles, 78000, France Centre de recherche en épidémiologie et en santé des populations, Inserm U1018, Université Paris-Saclay, Université Versailles Saint-Quentin, Paris, France Department of Cognitive Psychology, Institute of Psychology, ELTE Eötvös Loránd University, Izabella utca 46, Budapest, H-1064, Hungary Centre for Thinking and Learning, Institute for Lifecourse Development, School of Human Sciences, Faculty of Education, Health and Human Sciences, University of Greenwich, Old Royal Naval College, Park Row, 150 Dreadnought, London, SE10 9LS, United Kingdom Institute of Psychology, ELTE Eötvös Loránd University, Izabella utca 46, Budapest, H-1064, Hungary Brain, Memory and Language Research Group, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Magyar tudósok körútja 2., H, Budapest, –1117, Hungary Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, Université de Lyon 1, Université de Lyon, Lyon, France Export Date: 16 January 2023 Correspondence Address: Janacsek, K.; Centre for Thinking and Learning, Park Row, 150 Dreadnought, United Kingdom; email: k.janacsek@greenwich.ac.uk Correspondence Address: Nemeth, D.; Lyon Neuroscience Research Center (CRNL), France; email: dezso.nemeth@univ-lyon1.fr LA - English DB - MTMT ER - TY - CONF AU - Pesthy, Orsolya Noémi AU - Farkas, Kinga AU - Sapey-Triomphe, Laurie-Anne AU - Guttengéber, Anna AU - Komoróczy, Eszter AU - Janacsek, Karolina AU - M. Réthelyi, János AU - Németh, Dezső TI - INTACT PREDICTIVE PROCESSING IN AUTISTIC ADULTS – A STATISTICAL LEARNING STUDY T2 - ABSTRACT BOOK - 23° CONFERENCE OF THE EUROPEAN SOCIETY FOR COGNITIVE PSYCHOLOGY : ESCOP 2023 PB - University of Porto PY - 2023 SP - 255 EP - 256 PG - 2 UR - https://m2.mtmt.hu/api/publication/34481046 ID - 34481046 LA - English DB - MTMT ER - TY - CONF AU - Németh, Dezső AU - Janacsek, Karolina AU - Tóth-Fáber, Eszter TI - LIFESPAN DEVELOPMENTAL INVARIANCE IN MEMORY CONSOLIDATION OF STATISTICAL KNOWLEDGE T2 - ABSTRACT BOOK - 23° CONFERENCE OF THE EUROPEAN SOCIETY FOR COGNITIVE PSYCHOLOGY : ESCOP 2023 PB - University of Porto PY - 2023 SP - 79 EP - 80 PG - 2 UR - https://m2.mtmt.hu/api/publication/34481030 ID - 34481030 LA - English DB - MTMT ER - TY - GEN AU - Horváth, Kata AU - Németh, Dezső AU - Janacsek, Karolina AU - Kóbor, Andrea TI - Independent and interactive dynamics between statistical learning and inhibitory control PY - 2023 UR - https://m2.mtmt.hu/api/publication/34225111 ID - 34225111 LA - English DB - MTMT ER - TY - JOUR AU - Pesthy, O. AU - Farkas, Kinga AU - Sapey-Triomphe, L.-A. AU - Guttengeber, Anna AU - Komoróczy, Eszter AU - Janacsek, Karolina AU - Réthelyi, János AU - Németh, Dezső TI - Intact predictive processing in autistic adults: evidence from statistical learning JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 13 PY - 2023 IS - 1 PG - 10 SN - 2045-2322 DO - 10.1038/s41598-023-38708-3 UR - https://m2.mtmt.hu/api/publication/34083204 ID - 34083204 AB - Impairment in predictive processes gained a lot of attention in recent years as an explanation for autistic symptoms. However, empirical evidence does not always underpin this framework. Thus, it is unclear what aspects of predictive processing are affected in autism spectrum disorder. In this study, we tested autistic adults on a task in which participants acquire probability-based regularities (that is, a statistical learning task). Twenty neurotypical and 22 autistic adults learned a probabilistic, temporally distributed regularity for about 40 min. Using frequentist and Bayesian methods, we found that autistic adults performed comparably to neurotypical adults, and the dynamics of learning did not differ between groups either. Thus, our study provides evidence for intact statistical learning in autistic adults. Furthermore, we discuss potential ways this result can extend the scope of the predictive processing framework, noting that atypical processing might not always mean a deficit in performance. © 2023, The Author(s). LA - English DB - MTMT ER - TY - CONF AU - Pedraza, Felipe AU - Csaba Farkas, Bence AU - Vékony, Teodóra AU - Haesebaert, Frederic AU - Janacsek, Karolina AU - Anders, Royce AU - Tillmann, Barbara AU - Plancher, Gaën AU - Németh, Dezső TI - COMPETITION BETWEEN EXECUTIVE FUNCTIONS AND STATISTICAL LEARNING: EVIDENCE FROM TWO INDEPENDENT EXPERIMENTS T2 - NeuroFrance2023 Scientific program PY - 2023 SP - 110 UR - https://m2.mtmt.hu/api/publication/34030708 ID - 34030708 LA - English DB - MTMT ER - TY - CONF AU - Pesthy, Orsolya Noémi AU - Vékony, Teodóra AU - Viktóra Pesthy, Zsuzsanna AU - Osztényi, Dóra AU - Janacsek, Karolina AU - Fabó, Dániel AU - Németh, Dezső TI - HEMISPHERIC ASYMMETRY IN STATISTICAL LEARNING – A NON-INVASIVE BRAIN STIMULATION STUDY T2 - NeuroFrance2023 Scientific program PY - 2023 SP - 110 UR - https://m2.mtmt.hu/api/publication/34030698 ID - 34030698 LA - English DB - MTMT ER -