TY - JOUR AU - Zsila, Ágnes AU - McCutcheon, Lynn E. AU - Horváth, Rita AU - Urbán, Róbert AU - Paksi, Borbála AU - Darnai, Gergely AU - Janszky, József Vladimír AU - Demetrovics, Zsolt TI - Prevalence of celebrity worship: Development and application of the short version of the Celebrity Attitude Scale (CAS-7) on a large-scale representative sample JF - JOURNAL OF BEHAVIORAL ADDICTIONS J2 - J BEHAV ADDICT PY - 2024 SN - 2062-5871 DO - 10.1556/2006.2024.00019 UR - https://m2.mtmt.hu/api/publication/34800559 ID - 34800559 LA - English DB - MTMT ER - TY - JOUR AU - Áfra, Eszter AU - Janszky, József Vladimír AU - Perlaki, Gábor AU - Orsi, Gergely AU - Nagy, Szilvia Anett AU - Arató, Ákos AU - Szente, Anna Tímea AU - Alhour, Husamalddin Ali Mohammad AU - Kis-Jakab, Gréta AU - Darnai, Gergely TI - Altered functional brain networks in problematic smartphone and social media use: resting-state fMRI study JF - BRAIN IMAGING AND BEHAVIOR J2 - BRAIN IMAGING BEHAV PY - 2024 PG - 10 SN - 1931-7557 DO - 10.1007/s11682-023-00825-y UR - https://m2.mtmt.hu/api/publication/34420912 ID - 34420912 N1 - Funding Agency and Grant Number: University of Pecs from the National Research, Development and Innovation Fund of Hungary under the TKP2021-EGA funding scheme [TKP2021-EGA-16]; Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences; National Laboratory of Translational Neuroscience (NLTN) [RRF-2.3.1-21-2022-00011] Funding text: Open access funding provided by University of Pecs. Project no. TKP2021-EGA-16 has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the TKP2021-EGA funding scheme. SAN was supported by the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences. Project no. RRF-2.3.1-21-2022-00011 were supported from the National Laboratory of Translational Neuroscience (NLTN). AB - Nowadays, the limitless availability to the World Wide Web can lead to general Internet misuse and dependence. Currently, smartphone and social media use belong to the most prevalent Internet-related behavioral addiction forms. However, the neurobiological background of these Internet-related behavioral addictions is not sufficiently explored. In this study, these addiction forms were assessed with self-reported questionnaires. Resting-state functional magnetic resonance imaging was acquired for all participants ( n = 59, 29 males) to examine functional brain networks. The resting-state networks that were discovered using independent component analysis were analyzed to estimate within network differences. Significant negative associations with social media addiction and smartphone addiction were found in the language network, the lateral visual networks, the auditory network, the sensorimotor network, the executive network and the frontoparietal network. These results suggest that problematic smartphone and social media use are associated with sensory processing and higher cognitive functioning . LA - English DB - MTMT ER - TY - JOUR AU - Matuz, András AU - Darnai, Gergely AU - Zsidó, András Norbert AU - Janszky, József Vladimír AU - Csathó, Árpád TI - Structural neural correlates of mental fatigue and reward-induced improvement in performance JF - BIOLOGIA FUTURA J2 - BIOL FUTURA PY - 2024 PG - 12 SN - 2676-8615 DO - 10.1007/s42977-023-00187-y UR - https://m2.mtmt.hu/api/publication/34226087 ID - 34226087 N1 - Funding Agency and Grant Number: New National Excellence Program of the Ministry for Innovation and Technology [NKP-19-3]; National Research, Development and Innovation Office, NKFIH grant [K142321] Funding text: AM was supported by the & Uacute;NKP-19-3 New National Excellence Program of the Ministry for Innovation and Technology. AM, AZ, GD, and AC were supported by the National Research, Development and Innovation Office, NKFIH grant (K142321). AB - Neuroimaging studies investigating the association between mental fatigue (henceforth fatigue) and brain physiology have identified many brain regions that may underly the cognitive changes induced by fatigue. These studies focused on the functional changes and functional connectivity of the brain relating to fatigue. The structural correlates of fatigue, however, have received little attention. To fill this gap, this study explored the associations of fatigue with cortical thickness of frontal and parietal regions. In addition, we aimed to explore the associations between reward-induced improvement in performance and neuroanatomical markers in fatigued individuals. Thirty-nine healthy volunteers performed the psychomotor vigilance task for 15 min (i.e., 3 time-on-task blocks of 5 min) out of scanner; followed by an additional rewarded block of the task lasting 5 min. Baseline high-resolution T1-weigthed MR images were obtained. Reaction time increased with time-on-task but got faster again in the rewarded block. Participants’ subjective fatigue increased during task performance. In addition, we found that higher increase in subjective mental fatigue was associated with the cortical thickness of the following areas: bilateral precuneus, right precentral gyrus; right pars triangularis and left superior frontal gyrus. Our results suggest that individual differences in subjective mental fatigue may be explained by differences in the degree of cortical thickness of areas that are associated with motor processes, executive functions, intrinsic alertness and are parts of the default mode network. LA - English DB - MTMT ER - TY - JOUR AU - Zsidó, András Norbert AU - Matuz, András AU - Basler, Julia AU - Darnai, Gergely AU - Csathó, Árpád TI - The interference of negative emotional stimuli on semantic vigilance performance in a dual-task setting JF - BIOLOGIA FUTURA J2 - BIOL FUTURA PY - 2024 PG - 11 SN - 2676-8615 DO - 10.1007/s42977-023-00180-5 UR - https://m2.mtmt.hu/api/publication/34167002 ID - 34167002 AB - A large body of previous research has shown that emotional stimuli have an advantage in a wide variety of cognitive processes. This was mainly observed in visual search and working memory tasks. Emotionally charged objects draw and hold attention, are remembered better, and interfere more with the completion of the primary task than neutral ones. Therefore, it seems reasonable to assume that emotional stimuli also greatly affect sustained attention and vigilance decrement. In the present research, we investigated whether emotional stimuli demand more attentional resources than neutral ones in a dual-task paradigm. We adopted the abbreviated semantic discrimination vigilance task and measured participants’ (N = 49) performance in a single-task and two dual-task settings. In the dual-task conditions, the visual semantic vigilance paradigm was combined with an auditory word recall task (with neutral or emotional stimuli). We found reduced vigilance and improved word recall performance in the emotional dual-task condition compared to the neutral dual-task and single-task conditions. The reduced performance was apparent throughout the task, while in the neutral conditions, participants’ performance first increased and then dropped as time progressed. To conclude, our results indicate that emotional stimuli not only have an advantage in cognitive processing but also demand more attentional resources continuously while it is present compared to neutral stimuli. These results are consistent with the emotionality effect theory and evolutionary accounts of the neural circuits underlying motivated behaviors associated with critical survival needs. LA - English DB - MTMT ER - TY - JOUR AU - Perlaki, Gábor AU - Darnai, Gergely AU - Arató, Ákos AU - Alhour, Husamalddin Ali Mohammad AU - Szente, Anna Tímea AU - Áfra, Eszter AU - Nagy, Szilvia Anett AU - Horváth, Réka AU - Kovács, Norbert AU - Dóczi, Tamás Péter AU - Orsi, Gergely AU - Janszky, József Vladimír TI - Gray Matter Changes Following Mild COVID-19 : An MR Morphometric Study in Healthy Young People JF - JOURNAL OF MAGNETIC RESONANCE IMAGING J2 - JMRI - J MAGN RESON IM PY - 2024 SN - 1053-1807 DO - 10.1002/jmri.28970 UR - https://m2.mtmt.hu/api/publication/34113102 ID - 34113102 AB - Although COVID-19 is primarily an acute respiratory infection, 5%-40% of patients develop late and prolonged symptoms with frequent neurological complaints, known as long COVID syndrome. The presentation of the disease suggests that COVID infection may cause functional and/or morphological central nervous system alterations, but studies published in the literature report contradictory findings.To investigate the chronic effects of COVID-19 on cerebral grey matter in a group of young patients without comorbidities, with mild course of COVID infection and no medical complaints at the time of examination.Prospective.Thirty-eight young (age = 26.6 ± 5.0 years; male/female = 14/24), adult participants who recovered from mild COVID infection without a history of clinical long COVID and 37 healthy control subjects (age = 25.9 ± 2.8 years; male/female = 14/23).Three Tesla, 3D T1-weighted magnetization-prepared rapid gradient-echo, 2D T2-weighted turbo spin-echo.MRI-based morphometry and volumetry along with neuropsychological testing and self-assessed questionnaire.Fisher's exact test, Mann-Whitney U-test, and multiple linear regression analyses were used to assess differences between COVID and healthy control groups. P < 0.05 was used as cutoff for significance.In the COVID group, significantly lower bilateral mean cortical thickness (left/right-hemisphere: 2.51 ± 0.06 mm vs. 2.56 ± 0.07 mm, η2 p = 0.102/2.50 ± 0.06 mm vs. 2.54 ± 0.07 mm, η2 p = 0.101), lower subcortical gray matter (57881 ± 3998 mm3 vs. 60470 ± 5211 mm3 , η2 p = 0.100) and lower right olfactory bulb volume (52.28 ± 13.55 mm3 vs. 60.98 ± 15.8 mm3 , η2 p = 0.078) were found. In patients with moderate to severe anosmia, cortical thickness was significantly lower bilaterally, as compared to patients without olfactory function loss (left/right-hemisphere: 2.50 ± 0.06 mm vs. 2.56 ± 0.05 mm, η2 = 0.173/2.49 ± 0.06 mm vs. 2.55 ± 0.05 mm, η2 = 0.189). Using further exploratory analysis, significantly reduced cortical thickness was detected locally in the right lateral orbitofrontal cortex in the COVID group (2.53 ± 0.10 mm vs. 2.60 ± 0.09 mm, η2 p = 0.112).Even without any subjective or objective neurological complaints at the time of the MR scan, subjects in the COVID group showed gray matter alterations in cortical thickness and subcortical gray matter volume.2 TECHNICAL EFFICACY: Stage 3. LA - English DB - MTMT ER - TY - JOUR AU - Arató, Ákos AU - Nagy, Szilvia Anett AU - Perlaki, Gábor AU - Orsi, Gergely AU - Szente, Anna Tímea AU - Kis-Jakab, Gréta AU - Áfra, Eszter AU - Alhour, Husamalddin Ali Mohammad AU - Kovács, Norbert AU - Janszky, József Vladimír AU - Darnai, Gergely TI - Emotional face expression recognition in problematic Internet use and excessive smartphone use : task-based fMRI study JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 13 PY - 2023 IS - 1 PG - 12 SN - 2045-2322 DO - 10.1038/s41598-022-27172-0 UR - https://m2.mtmt.hu/api/publication/33546835 ID - 33546835 N1 - Department of Neurology, Medical School, University of Pécs, Rét Street 2, Pecs, 7623, Hungary ELKH-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary Pécs Diagnostic Centre, Pecs, Hungary Department of Neurosurgery, Medical School, University of Pécs, Pecs, Hungary Neurobiology of Stress Research Group, Szentágothai Research Centre, University of Pécs, Pecs, Hungary Department of Laboratory Medicine, Medical School, University of Pécs, Pecs, Hungary Department of Behavioural Sciences, Medical School, University of Pécs, Pecs, Hungary Cited By :3 Export Date: 21 November 2023 Correspondence Address: Janszky, J.; Department of Neurology, Rét Street 2, Hungary; email: janszky.jozsef@pte.hu AB - Growing literature indicates that problematic Internet use (PIU) and excessive smartphone use (ESU) are associated with breakdown of functional brain networks. The effects of PIU&ESU on emotional face expression (EFE) recognition are not well understood, however behavioural investigations and fMRI studies of different addiction forms indicated the impairment of this function. The Facial Emotion Recognition Paradigm was used to probe cortico-limbic responses during EFE recognition. Combined fMRI and psychophysiological analysis were implemented to measure EFE-related functional brain changes in PIU&ESU. Self-reported questionnaires were used to assess PIU&ESU. Positive associations were found between the extent of PIU&ESU and functional connections related to emotional cognitive control and social brain networks. Our findings highlight the involvement of social functioning, especially EFE recognition in PIU&ESU. Therefore, we emphasize that besides the brain's executive and reward systems, the social brain network might be the next candidate to be involved in the pathogenesis of PIU&ESU. LA - English DB - MTMT ER - TY - JOUR AU - Darnai, Gergely AU - Matuz, András AU - Alhour, Husamalddin Ali Mohammad AU - Perlaki, Gábor AU - Orsi, Gergely AU - Arató, Ákos AU - Szente, Anna Tímea AU - Áfra, Eszter AU - Nagy, Szilvia Anett AU - Janszky, József Vladimír AU - Csathó, Árpád TI - The neural correlates of mental fatigue and reward processing: a task-based fMRI study JF - NEUROIMAGE J2 - NEUROIMAGE VL - 265 PY - 2023 PG - 10 SN - 1053-8119 DO - 10.1016/j.neuroimage.2022.119812 UR - https://m2.mtmt.hu/api/publication/33334987 ID - 33334987 N1 - * Megosztott szerzőség AB - Increasing time spent on the task (i.e., the time-on-task (ToT) effect) often results in mental fatigue. Typical effects of ToT are decreasing levels of task-related motivation and the deterioration of cognitive performance. However, a massive body of research indicates that the detrimental effects can be reversed by extrinsic motivators, for example, providing rewards to fatigued participants. Although several attempts have been made to identify brain areas involved in mental fatigue and related reward processing, the neural correlates are still less understood. In this study, we used the psychomotor vigilance task to induce mental fatigue and blood oxygen-level-dependent functional magnetic resonance imaging to investigate the neural correlates of the ToT effect and the reward effect (i.e., providing extra monetary reward after fatigue induction) in a healthy young sample. Our results were interpreted in a recently proposed neurocognitive framework. The activation of the right middle frontal gyrus, right insula and right anterior cingulate gyrus decreased as fatigue emerged and the cognitive performance dropped. However, after providing an extra reward, the cognitive performance, as well as activation of these areas, increased. Moreover, the activation levels of all of the mentioned areas were negatively associated with reaction times. Our results confirm that the middle frontal gyrus, insula and anterior cingulate cortex play crucial roles in cost-benefit evaluations, a potential background mechanism underlying fatigue, as suggested by the neurocognitive framework. LA - English DB - MTMT ER - TY - JOUR AU - Kuperczkó, Diána AU - Kenyeres, Péter AU - Darnai, Gergely AU - Kovács, Norbert AU - Janszky, József Vladimír TI - Sudden gamer death ? non-violent death cases linked to playing video games JF - BMC PSYCHIATRY J2 - BMC PSYCHIATRY VL - 22 PY - 2022 IS - 1 PG - 12 SN - 1471-244X DO - 10.1186/s12888-022-04373-5 UR - https://m2.mtmt.hu/api/publication/33543491 ID - 33543491 AB - Internet gaming disorder (IGD) is an emerging problem. Rarely, media reports about people, who have died during playing video games, but thus far no systematic, scientific study is available about the topic. We investigated such cases, looking for common characteristics, connection between gaming and death, and the possible reasons leading to death.Cases were collected through internet search with general keywords, with ones specific to identified cases, and by working along cross references.24 cases were found: one from 1982, the others between 2002 and 2021. Twenty-three of the victims were male, age ranged from 11 to 40 years. More than half of the cases originated from Southeast Asia, and 12 deaths happened in internet cafes. Gamers played action-rich multiplayer games. In 18 cases the gaming session before death was extremely long (around a day or even several days) with minimal rest. The cause of death was pulmonary embolism in 5 cases, cerebral hemorrhage in 2 cases, most of the rest was presumably due to fatal cardiac arrhythmia.Long sedentary position and dehydration may precipitate thromboembolism, acute blood pressure elevation during gaming may promote cerebral hemorrhage, and several factors (including acute and chronic sleep deprivation, exhaustion, stress) can lead to acute autonomic dysfunction and fatal arrhythmia.Incidence of non-violent death cases linked to playing video games is presumably very low. It mostly occurs in young males and it is often characterized by extremely long gaming time. LA - English DB - MTMT ER - TY - JOUR AU - Matuz, András AU - van der Linden, Dimitri AU - Darnai, Gergely AU - Csathó, Árpád TI - Generalisable machine learning models trained on heart rate variability data to predict mental fatigue JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 12 PY - 2022 IS - 1 PG - 12 SN - 2045-2322 DO - 10.1038/s41598-022-24415-y UR - https://m2.mtmt.hu/api/publication/33271860 ID - 33271860 AB - A prolonged period of cognitive performance often leads to mental fatigue, a psychobiological state that increases the risk of injury and accidents. Previous studies have trained machine learning algorithms on Heart Rate Variability (HRV) data to detect fatigue in order to prevent its consequences. However, the results of these studies cannot be generalised because of various methodological issues including the use of only one type of cognitive task to induce fatigue which makes any predictions task-specific. In this study, we combined the datasets of three experiments each of which applied different cognitive tasks for fatigue induction and trained algorithms that detect fatigue and predict its severity. We also tested different time window lengths and compared algorithms trained on resting and task related data. We found that classification performance was best when the support vector classifier was trained on task related HRV calculated for a 5-min time window (AUC = 0.843, accuracy = 0.761). For the prediction of fatigue severity, CatBoost regression showed the best performance when trained on 3-min HRV data and self-reported measures (R2 = 0.248, RMSE = 17.058). These results indicate that both the detection and prediction of fatigue based on HRV are effective when machine learning models are trained on heterogeneous, multi-task datasets. LA - English DB - MTMT ER - TY - JOUR AU - Arató, Ákos AU - SZENTE, ANNA AU - Nagy, Szilvia Anett AU - PERLAKI, GÁBOR AU - ORSI, GERGELY AU - Áfra, Eszter AU - DÓCZI, TAMÁS AU - Darnai, Gergely AU - JANSZKY, JÓZSEF TI - Emotional Face Expression Recognition in Internet Use Disorder: task-based fMRI study JF - JOURNAL OF BEHAVIORAL ADDICTIONS J2 - J BEHAV ADDICT VL - 11 PY - 2022 IS - Suppl. 1 SP - 223 EP - 223 PG - 1 SN - 2062-5871 UR - https://m2.mtmt.hu/api/publication/32920165 ID - 32920165 LA - English DB - MTMT ER -