TY - JOUR AU - Hidasi, Zoltán AU - Fullajtár, Máté TI - A demencia viselkedési és pszichés tüneteinek kezelése a háziorvosi gyakorlatban. JF - HÁZIORVOS TOVÁBBKÉPZŐ SZEMLE J2 - HÁZIORVOS TOVÁBBKÉPZŐ SZEMLE VL - 29 PY - 2024 SP - 124 EP - 128 PG - 5 SN - 1219-8641 UR - https://m2.mtmt.hu/api/publication/34822010 ID - 34822010 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Balla, V.R. AU - Kilencz, Tünde AU - Szalóki, S. AU - Dalos, V.D. AU - Partanen, E. AU - Csifcsák, G. TI - Motor dominance and movement-outcome congruency influence the electrophysiological correlates of sensory attenuation for self-induced visual stimuli JF - INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY J2 - INT J PSYCHOPHYSIOL VL - 200 PY - 2024 PG - 11 SN - 0167-8760 DO - 10.1016/j.ijpsycho.2024.112344 UR - https://m2.mtmt.hu/api/publication/34814536 ID - 34814536 LA - English DB - MTMT ER - TY - JOUR AU - Csukly, Gábor AU - Orbán-Szigeti, Boglárka AU - Suri, Karolin Mária AU - Zsigmond, Réka Ildikó AU - Hermán, Levente AU - Simon, Viktória AU - Kabaji, Anita AU - Bata, Barnabás AU - Hársfalvi, Péter AU - Vass, Edit AU - Csibri, Éva AU - Farkas, Kinga AU - Réthelyi, János TI - Theta-burst rTMS in schizophrenia to ameliorate negative and cognitive symptoms: study protocol for a double-blind, sham-controlled, randomized clinical trial JF - TRIALS J2 - TRIALS VL - 25 PY - 2024 IS - 1 PG - 11 SN - 1745-6215 DO - 10.1186/s13063-024-08106-9 UR - https://m2.mtmt.hu/api/publication/34804337 ID - 34804337 N1 - Funding Agency and Grant Number: Nemzeti Kutatsi, Fejlesztsi s Innovacis Alap Funding text: Not applicable. LA - English DB - MTMT ER - TY - JOUR AU - Keszler, Gergely AU - Vékony, Bálint AU - Elek, Zsuzsanna AU - Nemoda, Zsófia AU - Angyal, Nóra AU - Bánlaki, Zsófia AU - Kovács-Nagy, Réka AU - Rónai, Zsolt AU - Réthelyi, János TI - MicroRNA-Mediated Suppression of Glial Cell Line-Derived Neurotrophic Factor Expression Is Modulated by a Schizophrenia-Associated Non-Coding Polymorphism JF - INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES J2 - INT J MOL SCI VL - 25 PY - 2024 IS - 8 PG - 15 SN - 1661-6596 DO - 10.3390/ijms25084477 UR - https://m2.mtmt.hu/api/publication/34804106 ID - 34804106 AB - Plasma levels of glial cell line-derived neurotrophic factor (GDNF), a pivotal regulator of differentiation and survival of dopaminergic neurons, are reportedly decreased in schizophrenia. To explore the involvement of GDNF in the pathogenesis of the disease, a case–control association analysis was performed between five non-coding single nucleotide polymorphisms (SNP) across the GDNF gene and schizophrenia. Of them, the ‘G’ allele of the rs11111 SNP located in the 3′ untranslated region (3′-UTR) of the gene was found to associate with schizophrenia. In silico analysis revealed that the rs11111 ‘G’ allele might create binding sites for three microRNA (miRNA) species. To explore the significance of this polymorphism, transient co-transfection assays were performed in human embryonic kidney 293T (HEK293T) cells with a luciferase reporter construct harboring either the ‘A’ or ‘G’ allele of the 3′-UTR of GDNF in combination with the hsa-miR-1185-1-3p pre-miRNA. It was demonstrated that in the presence of the rs11111 ‘G’ (but not the ‘A’) allele, hsa-miR-1185-2-3p repressed luciferase activity in a dose-dependent manner. Deletion of the miRNA binding site or its substitution with the complementary sequence abrogated the modulatory effect. Our results imply that the rs11111 ‘G’ allele occurring more frequently in patients with schizophrenia might downregulate GDNF expression in a miRNA-dependent fashion. LA - English DB - MTMT ER - TY - CONF AU - Holka, Szilárd AU - Sörnyei, Dániel Tibor AU - Ágota, Vass AU - Kinga, Farkas TI - SYMPTOM NETWORK DIFFERENCES BETWEEN SCHIZOPHRENIA AND AUTISM SPECTRUM DISORDER: A NETWORK ANALYSIS T2 - Responding to Challenges in a Changing World PY - 2024 SP - 875 UR - https://m2.mtmt.hu/api/publication/34802983 ID - 34802983 LA - English DB - MTMT ER - TY - JOUR AU - Huszár, Zsolt AU - Engh, Marie Anne AU - Pavlekovics, Márk AU - Sato, Tomoya AU - Steenkamp, Yalea AU - Hanseeuw, Bernard AU - Terebessy, Tamás AU - Molnár, Zsolt AU - Hegyi, Péter AU - Csukly, Gábor TI - Risk of conversion to mild cognitive impairment or dementia among subjects with amyloid and tau pathology : a systematic review and meta-analysis JF - ALZHEIMERS RESEARCH & THERAPY J2 - ALZHEIMERS RES THER VL - 16 PY - 2024 IS - 1 PG - 19 SN - 1758-9193 DO - 10.1186/s13195-024-01455-2 UR - https://m2.mtmt.hu/api/publication/34797928 ID - 34797928 N1 - Meta-Analysis; Systematic Review; Journal Article; Review AB - Measurement of beta-amyloid (Aβ) and phosphorylated tau (p-tau) levels offers the potential for early detection of neurocognitive impairment. Still, the probability of developing a clinical syndrome in the presence of these protein changes (A+ and T+) remains unclear. By performing a systematic review and meta-analysis, we investigated the risk of mild cognitive impairment (MCI) or dementia in the non-demented population with A+ and A- alone and in combination with T+ and T- as confirmed by PET or cerebrospinal fluid examination.A systematic search of prospective and retrospective studies investigating the association of Aβ and p-tau with cognitive decline was performed in three databases (MEDLINE via PubMed, EMBASE, and CENTRAL) on January 9, 2024. The risk of bias was assessed using the Cochrane QUIPS tool. Odds ratios (OR) and Hazard Ratios (HR) were pooled using a random-effects model. The effect of neurodegeneration was not studied due to its non-specific nature.A total of 18,162 records were found, and at the end of the selection process, data from 36 cohorts were pooled (n= 7,793). Compared to the unexposed group, the odds ratio (OR) for conversion to dementia in A+ MCI patients was 5.18 [95% CI 3.93; 6.81]. In A+ CU subjects, the OR for conversion to MCI or dementia was 5.79 [95% CI 2.88; 11.64]. Cerebrospinal fluid Aβ42 or Aβ42/40 analysis and amyloid PET imaging showed consistent results. The OR for conversion in A+T+ MCI subjects (11.60 [95% CI 7.96; 16.91]) was significantly higher than in A+T- subjects (2.73 [95% CI 1.65; 4.52]). The OR for A-T+ MCI subjects was non-significant (1.47 [95% CI 0.55; 3.92]). CU subjects with A+T+ status had a significantly higher OR for conversion (13.46 [95% CI 3.69; 49.11]) than A+T- subjects (2.04 [95% CI 0.70; 5.97]). Meta-regression showed that the ORs for Aβ exposure decreased with age in MCI. (beta = -0.04 [95% CI -0.03 to -0.083]).Identifying Aβ-positive individuals, irrespective of the measurement technique employed (CSF or PET), enables the detection of the most at-risk population before disease onset, or at least at a mild stage. The inclusion of tau status in addition to Aβ, especially in A+T+ cases, further refines the risk assessment. Notably, the higher odds ratio associated with Aβ decreases with age.The study was registered in PROSPERO (ID: CRD42021288100). LA - English DB - MTMT ER - TY - JOUR AU - Bulyáki, Tünde AU - Wernigg, Róbert AU - Kéri, Péter AU - Ács, Andrea AU - Slezák, Adrienn AU - Bodrogi, Andrea AU - Harangozó, Judit TI - Community-Based Psychiatric Care Provision in Hungary: Trends and Steps towards Progress JF - CONSORTIUM PSYCHIATRICUM J2 - CONSORT PSYCHIATR VL - 5 PY - 2024 IS - 1 SP - 49 EP - 56 PG - 8 SN - 2712-7672 DO - 10.17816/CP15483 UR - https://m2.mtmt.hu/api/publication/34782288 ID - 34782288 AB - Psychiatric care has undergone several cycles of profound changes in the past centuries all over the world. In Hungary, community-based outpatient care has been showing signs of evolution since the 1950s. Initially, the system centered on assertive outreach and family involvement, especially for those with serious mental health problems. Such services remain available throughout the country, but the emphasis in the past decades has shifted towards mass care provision. In many places, community-based services are no longer provided, and where they are the approach is biomedical and less asuming of recovery. In other centers, the services provided are conceived with the eventuality of rehabilitation in mind and in close cooperation with community-based care providers.Community-based services providers, as part of the social fabric, offer as many psychiatric and rehabilitation services as possible for those with mental disorders within their communities. The main objective of community-based care is to achieve community re-integration and recovery from mental disorders. Today in Hungary, deinstitutionalisation and the introduction of community-based psychiatric care have been adopted even by large inpatient institutions. The replacement of institutional bed space and the provision of subsidised housing further underscore the importance of community-based psychiatric care provision. There is the opinion that, as a further course of development, the emphasis needs to now shift towards the nurturing of a community of experienced experts and creastion of user-led programs. In this new paradigm, the ability of a person with a mental disorder to make decisions and the bolstering of that ability are seen as vital. In order to achieve these objectives, it is essential that health and social seervices professionals cooperate. Hands-on experience is key in the provision and development of such services. LA - English DB - MTMT ER - TY - JOUR AU - Eszlári, Nóra AU - Hullám, Gábor István AU - Gál, Zsófia AU - Török, Dóra AU - Nagy, Tamás AU - Millinghoffer, András Dániel AU - Baksa, Dániel AU - Gonda, Xénia AU - Antal, Péter AU - Bagdy, György AU - Juhász, Gabriella TI - Olfactory genes affect major depression in highly educated, emotionally stable, lean women: a bridge between animal models and precision medicine JF - TRANSLATIONAL PSYCHIATRY J2 - TRANSL PSYCHIAT VL - 14 PY - 2024 IS - 1 PG - 10 SN - 2158-3188 DO - 10.1038/s41398-024-02867-2 UR - https://m2.mtmt.hu/api/publication/34779723 ID - 34779723 N1 - Funding Agency and Grant Number: Hungarian National Research, Development, and Innovation Office [K 139330, K 143391, PD 146014, 2019-2.1.7-ERA-NET-2020-00005, ERAPERMED2019-108]; Hungarian Brain Research Program [2017-1.2.1-NKP-2017-00002]; Hungarian Brain Research Program 3.0 [NAP2022-I-4/2022, TKP2021-EGA-25]; Ministry of Innovation and Technology of Hungary National Research, Development and Innovation Fund [TKP2021-EGA-25]; National Research, Development, and Innovation Fund of Hungary [TKP2021-EGA-02]; European Union [RRF-2.3.1-21-2022-00004]; New National Excellence Program of the Ministry for Culture and Innovation National Research, Development and Innovation Fund [UNKP-23-4-II-SE-2]; Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences; Semmelweis University; [UNKP-22-4-II-SE-1] Funding text: This study was supported by the Hungarian National Research, Development, and Innovation Office, with grants K 139330, K 143391, and PD 146014, as well as 2019-2.1.7-ERA-NET-2020-00005 under the frame of ERA PerMed (ERAPERMED2019-108); by the Hungarian Brain Research Program (grant: 2017-1.2.1-NKP-2017-00002) and the Hungarian Brain Research Program 3.0 (NAP2022-I-4/2022); and by TKP2021-EGA-25, implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-EGA funding scheme. It was also supported by the National Research, Development, and Innovation Fund of Hungary under Grant TKP2021-EGA-02 and the European Union project RRF-2.3.1-21-2022-00004 within the framework of the Artificial Intelligence National Laboratory. NE was supported by the UNKP-22-4-II-SE-1, and DB by the UNKP-23-4-II-SE-2 New National Excellence Program of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation Fund. NE is supported by the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences. This work uses data provided by patients and collected by the NHS as part of their care and support. Copyright (c) (2019), NHS England. Re-used with the permission of the UK Biobank (Application Number 1602). All rights reserved.Open access funding provided by Semmelweis University. AB - Most current approaches to establish subgroups of depressed patients for precision medicine aim to rely on biomarkers that require highly specialized assessment. Our present aim was to stratify participants of the UK Biobank cohort based on three readily measurable common independent risk factors, and to investigate depression genomics in each group to discover common and separate biological etiology. Two-step cluster analysis was run separately in males ( n = 149,879) and females ( n = 174,572), with neuroticism (a tendency to experience negative emotions), body fat percentage, and years spent in education as input variables. Genome-wide association analyses were implemented within each of the resulting clusters, for the lifetime occurrence of either a depressive episode or recurrent depressive disorder as the outcome. Variant-based, gene-based, gene set-based, and tissue-specific gene expression test were applied. Phenotypically distinct clusters with high genetic intercorrelations in depression genomics were found. A two-cluster solution was the best model in each sex with some differences including the less important role of neuroticism in males. In females, in case of a protective pattern of low neuroticism, low body fat percentage, and high level of education, depression was associated with pathways related to olfactory function. While also in females but in a risk pattern of high neuroticism, high body fat percentage, and less years spent in education, depression showed association with complement system genes. Our results, on one hand, indicate that alteration of olfactory pathways, that can be paralleled to the well-known rodent depression models of olfactory bulbectomy, might be a novel target towards precision psychiatry in females with less other risk factors for depression. On the other hand, our results in multi-risk females may provide a special case of immunometabolic depression. LA - English DB - MTMT ER - TY - JOUR AU - Csukly, Gábor AU - Tombor, László AU - Hidasi, Zoltán AU - Csibri, Eva AU - Fullajtár, Máté AU - Huszár, Zsolt AU - Koszovácz, Vanda AU - Lányi, Orsolya AU - Vass, Edit AU - Koleszár, Boróka AU - Kóbor, István AU - Farkas, Katalin AU - Rosenfeld, Viktória AU - Berente, Dalida Borbála AU - Bolla, Gergő Levente AU - Kiss, Mate AU - Kamondi, Anita AU - Horváth, András Attila TI - Low Functional network integrity in cognitively unimpaired and MCI subjects with depressive symptoms. results from a multi-center fMRI study. TS - results from a multi-center fMRI study. JF - TRANSLATIONAL PSYCHIATRY J2 - TRANSL PSYCHIAT VL - 14 PY - 2024 IS - 1 PG - 11 SN - 2158-3188 DO - 10.1038/s41398-024-02891-2 UR - https://m2.mtmt.hu/api/publication/34774958 ID - 34774958 N1 - Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary Neurocognitive Research Center, National Institute of Mental Health, Neurology, Neurosurgery, Budapest, Hungary Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary Medical Imaging Centre, Semmelweis University, Budapest, Hungary Neurocognitive Research Center, National Institute of Mental Health, Neurology, Neurosurgery, Budapest, Hungary Department of Measurement and Information Systems, University of Technology and Economics, Budapest, Hungary Siemens Healthcare, Budapest, Hungary Department of Neurology, Semmelweis University, Budapest, Hungary Department of Anatomy Histology and Embryology, Semmelweis University, Budapest, Hungary Export Date: 24 April 2024; Cited By: 0 AB - Evidence suggests that depressive symptomatology is a consequence of network dysfunction rather than lesion pathology. We studied whole-brain functional connectivity using a Minimum Spanning Tree as a graph-theoretical approach. Furthermore, we examined functional connectivity in the Default Mode Network, the Frontolimbic Network (FLN), the Salience Network, and the Cognitive Control Network. All 183 elderly subjects underwent a comprehensive neuropsychological evaluation and a 3 Tesla brain MRI scan. To assess the potential presence of depressive symptoms, the 13-item version of the Beck Depression Inventory (BDI) or the Geriatric Depression Scale (GDS) was utilized. Participants were assigned into three groups based on their cognitive status: amnestic mild cognitive impairment (MCI), non-amnestic MCI, and healthy controls. Regarding affective symptoms, subjects were categorized into depressed and non-depressed groups. An increased mean eccentricity and network diameter were found in patients with depressive symptoms relative to non-depressed ones, and both measures showed correlations with depressive symptom severity. In patients with depressive symptoms, a functional hypoconnectivity was detected between the Anterior Cingulate Cortex (ACC) and the right amygdala in the FLN, which impairment correlated with depressive symptom severity. While no structural difference was found in subjects with depressive symptoms, the volume of the hippocampus and the thickness of the precuneus and the entorhinal cortex were decreased in subjects with MCI, especially in amnestic MCI. The increase in eccentricity and diameter indicates a more path-like functional network configuration that may lead to an impaired functional integration in depression, a possible cause of depressive symptomatology in the elderly. LA - English DB - MTMT ER - TY - JOUR AU - Tringer, László TI - A pszichiátria önazonossága a XXI. században JF - PSYCHIATRIA HUNGARICA J2 - PSYCHIATRIA HUNG VL - 39 PY - 2024 IS - 1 SP - 4 EP - 9 PG - 6 SN - 0237-7896 UR - https://m2.mtmt.hu/api/publication/34772475 ID - 34772475 N1 - Export Date: 05 April 2024; Cited By: 0 LA - Hungarian DB - MTMT ER -