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 - CONF AU - Ronald, Ngetich AU - Tyrone, L. Burleigh AU - Czakó, Andrea AU - Teodóra, Vékony AU - Németh, Dezső AU - Demetrovics, Zsolt TI - A Systematic Review of Working Memory Performance in Gambling and Gaming Disorders T2 - 27th EASAR Conference- Book of Abstracts PY - 2024 SP - 19 UR - https://m2.mtmt.hu/api/publication/34817453 ID - 34817453 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 - Takács, Ádám AU - Tóth-Fáber, Eszter AU - Schubert, L. AU - Tárnok, Zsanett AU - Ghorbani, F. AU - Trelenberg, M. AU - Németh, Dezső AU - Münchau, A. AU - Beste, C. TI - Resting network architecture of theta oscillations reflects hyper-learning of sensorimotor information in Gilles de la Tourette syndrome JF - BRAIN COMMUNICATIONS J2 - BRAIN COMMUN VL - 6 PY - 2024 IS - 2 PG - 16 SN - 2632-1297 DO - 10.1093/braincomms/fcae092 UR - https://m2.mtmt.hu/api/publication/34798166 ID - 34798166 N1 - Export Date: 18 April 2024 Correspondence Address: Toth-Faber, E.; Brain Memory and Language Research Group Institute of Cognitive Neuroscience and Psychology, Magyar tudósok körútja 2., Hungary; email: toth-faber.eszter@ttk.hu LA - English DB - MTMT ER - TY - GEN AU - Németh, Dezső TI - Competition between predictive processes and prefrontal cortex functions: from non-invasive brain stimulation to local sleep PY - 2024 UR - https://m2.mtmt.hu/api/publication/34571086 ID - 34571086 N1 - Meghívott előadás - University of Cambridge, Department of Psychology AB - Human learning and predictive processing depend on multiple cognitive systems related to dissociable brain structures. These systems interact not only in cooperative but sometimes competitive ways in optimizing performance. Previous studies showed that manipulations reducing the engagement of prefrontal lobe-mediated explicit, attentional processes can improve non-declarative learning performance. Here, we present four studies – non-invasive brain stimulation, functional brain connectivity, lifespan development, local sleep, and mind-wandering - in which we investigated the competitive relationship between perceptual statistical learning and prefrontal lobe-mediated executive functions. Our result sheds light on the competitive nature of brain systems in cognitive processes and could have important implications for developing new methods to improve human learning and predictive processing. Keywords: statistical learning, predictive processing, implicit cognition, DLPFC LA - English DB - MTMT ER - TY - GEN AU - Németh, Dezső AU - Vékony, Teodóra AU - Elger, Abrahamse TI - Competition between predictive processes and prefrontal cortex functions. UNAM - COGNITIVA TS - UNAM - COGNITIVA PY - 2024 UR - https://m2.mtmt.hu/api/publication/34571083 ID - 34571083 N1 - Meghívott előadás LA - English DB - MTMT ER - TY - GEN AU - Németh, Dezső TI - Competition between predictive processes and prefrontal cortex functions PY - 2024 UR - https://m2.mtmt.hu/api/publication/34571081 ID - 34571081 N1 - Meghívott előadás LA - English DB - MTMT ER - TY - JOUR AU - Németh, Dezső AU - Gerbier, Emilie AU - Born, Jan AU - Rickard, Timothy AU - Diekelmann, Susanne AU - Fogel, Stuart AU - Genzel, Lisa AU - Prehn-Kristensen, Alexander AU - Payne, Jessica AU - Dresler, Martin AU - Simor, Péter Dániel AU - Mazza, Stephanie AU - Hoedlmoser, Kerstin AU - Ruby, Perrine AU - Spencer, Rebecca M. C. AU - Albouy, Genevieve AU - Vékony, Teodóra AU - Schabus, Manuel AU - Janacsek, Karolina TI - Optimizing the methodology of human sleep and memory research JF - Nature Reviews Psychology J2 - Nat Rev Psychol VL - 3 PY - 2024 SP - 123 EP - 137 PG - 15 SN - 2731-0574 DO - 10.1038/s44159-023-00262-0 UR - https://m2.mtmt.hu/api/publication/34474220 ID - 34474220 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 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 -