@article{MTMT:34836090,
	title = {Finding Pattern in the Noise: Persistent Implicit Statistical Knowledge Impacts the Processing of Unpredictable Stimuli},
	url = {https://m2.mtmt.hu/api/publication/34836090},
	author = {Kóbor, Andrea and Janacsek, Karolina and Hermann, Petra and Zavecz, Zsófia and Varga, Vera and Csépe, Valéria and Vidnyánszky, Zoltán and Kovács, Gyula and Németh, Dezső},
	doi = {10.1162/jocn_a_02173},
	journal-iso = {J COGNITIVE NEUROSCI},
	journal = {JOURNAL OF COGNITIVE NEUROSCIENCE},
	volume = {2024},
	unique-id = {34836090},
	issn = {0898-929X},
	abstract = {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.},
	year = {2024},
	eissn = {1530-8898},
	pages = {1-26},
	orcid-numbers = {Csépe, Valéria/0000-0002-5021-6024; Németh, Dezső/0000-0002-9629-5856}
}

@CONFERENCE{MTMT:34817453,
	title = {A Systematic Review of Working Memory Performance in Gambling and Gaming Disorders},
	url = {https://m2.mtmt.hu/api/publication/34817453},
	author = {Ronald, Ngetich and Tyrone, L. Burleigh and Czakó, Andrea and Teodóra, Vékony and Németh, Dezső and Demetrovics, Zsolt},
	booktitle = {27th EASAR Conference- Book of Abstracts},
	unique-id = {34817453},
	year = {2024},
	pages = {19},
	orcid-numbers = {Czakó, Andrea/0000-0003-4525-0524; Németh, Dezső/0000-0002-9629-5856; Demetrovics, Zsolt/0000-0001-5604-7551}
}

@article{MTMT:34799477,
	title = {Evidence for a competitive relationship between executive functions and statistical learning},
	url = {https://m2.mtmt.hu/api/publication/34799477},
	author = {Pedraza, Felipe and Farkas, Bence C. and Vékony, Teodóra and Haesebaert, Frederic and Phelipon, Romane and Mihalecz, Imola and Janacsek, Karolina and Anders, Royce and Tillmann, Barbara and Plancher, Gaën and Németh, Dezső},
	doi = {10.1038/s41539-024-00243-9},
	journal-iso = {NPJ SCI LEARN},
	journal = {NPJ SCIENCE OF LEARNING},
	volume = {9},
	unique-id = {34799477},
	abstract = {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.},
	year = {2024},
	eissn = {2056-7936},
	orcid-numbers = {Pedraza, Felipe/0000-0002-3601-1524; Farkas, Bence C./0000-0003-1815-5054; Janacsek, Karolina/0000-0001-7829-8220; Tillmann, Barbara/0000-0001-9676-5822; Németh, Dezső/0000-0002-9629-5856}
}

@article{MTMT:34798166,
	title = {Resting network architecture of theta oscillations reflects hyper-learning of sensorimotor information in Gilles de la Tourette syndrome},
	url = {https://m2.mtmt.hu/api/publication/34798166},
	author = {Takács, Ádám and Tóth-Fáber, Eszter and Schubert, L. and Tárnok, Zsanett and Ghorbani, F. and Trelenberg, M. and Németh, Dezső and Münchau, A. and Beste, C.},
	doi = {10.1093/braincomms/fcae092},
	journal-iso = {BRAIN COMMUN},
	journal = {BRAIN COMMUNICATIONS},
	volume = {6},
	unique-id = {34798166},
	year = {2024},
	eissn = {2632-1297},
	orcid-numbers = {Németh, Dezső/0000-0002-9629-5856}
}

@misc{MTMT:34571086,
	title = {Competition between predictive processes and prefrontal cortex functions: from non-invasive brain stimulation to local sleep},
	url = {https://m2.mtmt.hu/api/publication/34571086},
	author = {Németh, Dezső},
	unique-id = {34571086},
	abstract = {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},
	year = {2024},
	orcid-numbers = {Németh, Dezső/0000-0002-9629-5856}
}

@misc{MTMT:34571083,
	title = {Competition between predictive processes and prefrontal cortex functions. UNAM - COGNITIVA},
	url = {https://m2.mtmt.hu/api/publication/34571083},
	author = {Németh, Dezső and Vékony, Teodóra and Elger, Abrahamse},
	unique-id = {34571083},
	year = {2024},
	orcid-numbers = {Németh, Dezső/0000-0002-9629-5856}
}

@misc{MTMT:34571081,
	title = {Competition between predictive processes and prefrontal cortex functions},
	url = {https://m2.mtmt.hu/api/publication/34571081},
	author = {Németh, Dezső},
	unique-id = {34571081},
	year = {2024},
	orcid-numbers = {Németh, Dezső/0000-0002-9629-5856}
}

@article{MTMT:34474220,
	title = {Optimizing the methodology of human sleep and memory research},
	url = {https://m2.mtmt.hu/api/publication/34474220},
	author = {Németh, Dezső and Gerbier, Emilie and Born, Jan and Rickard, Timothy and Diekelmann, Susanne and Fogel, Stuart and Genzel, Lisa and Prehn-Kristensen, Alexander and Payne, Jessica and Dresler, Martin and Simor, Péter Dániel and Mazza, Stephanie and Hoedlmoser, Kerstin and Ruby, Perrine and Spencer, Rebecca M. C. and Albouy, Genevieve and Vékony, Teodóra and Schabus, Manuel and Janacsek, Karolina},
	doi = {10.1038/s44159-023-00262-0},
	journal-iso = {Nat Rev Psychol},
	journal = {Nature Reviews Psychology},
	volume = {3},
	unique-id = {34474220},
	year = {2024},
	eissn = {2731-0574},
	pages = {123-137},
	orcid-numbers = {Németh, Dezső/0000-0002-9629-5856; Fogel, Stuart/0000-0002-3227-5370; Dresler, Martin/0000-0001-7441-3818; Simor, Péter Dániel/0000-0003-0695-166X; Schabus, Manuel/0000-0001-5899-8772}
}

@article{MTMT:34053699,
	title = {Interpersonal Distance Theory of Autism and Its Implication for Cognitive Assessment, Therapy, and Daily Life},
	url = {https://m2.mtmt.hu/api/publication/34053699},
	author = {Farkas, Kinga and Pesthy, Orsolya and Janacsek, Karolina and Németh, Dezső},
	doi = {10.1177/17456916231180593},
	journal-iso = {PERSPECT PSYCHOL SCI},
	journal = {PERSPECTIVES ON PSYCHOLOGICAL SCIENCE},
	volume = {19},
	unique-id = {34053699},
	issn = {1745-6916},
	abstract = {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.},
	year = {2024},
	eissn = {1745-6924},
	pages = {126-136},
	orcid-numbers = {Farkas, Kinga/0000-0002-1125-3957; Janacsek, Karolina/0000-0001-7829-8220; Németh, Dezső/0000-0002-9629-5856}
}

@article{MTMT:33567535,
	title = {The complexity of measuring reliability in learning tasks: An illustration using the Alternating Serial Reaction Time Task},
	url = {https://m2.mtmt.hu/api/publication/33567535},
	author = {Farkas, Csaba Bence and Krajcsi, Attila and Janacsek, Karolina and Németh, Dezső},
	doi = {10.3758/s13428-022-02038-5},
	journal-iso = {BEHAV RES METHODS},
	journal = {BEHAVIOR RESEARCH METHODS},
	volume = {56},
	unique-id = {33567535},
	issn = {1554-351X},
	year = {2024},
	eissn = {1554-3528},
	pages = {301-317},
	orcid-numbers = {Krajcsi, Attila/0000-0001-9792-9091; Janacsek, Karolina/0000-0001-7829-8220; Németh, Dezső/0000-0002-9629-5856}
}