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 - 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 - 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 - Zsuffa, János AU - Katz, Sándor László AU - Koszovácz, Vanda AU - Berente, Dalida Borbála AU - Kamondi, Anita AU - Csukly, Gábor AU - Mangialasche, Francesca AU - Rocha, Ana Sabsil Lopez AU - Kivipelto, Miia AU - Horváth, András Attila TI - Lifestyle and behavioural changes in older adults during the Covid-19 pandemic are associated with subjective cognitive complaints JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 14 PY - 2024 IS - 1 PG - 11 SN - 2045-2322 DO - 10.1038/s41598-024-52856-0 UR - https://m2.mtmt.hu/api/publication/34545815 ID - 34545815 AB - Subjective cognitive complaints (SCC) is a self-reported experience of persistently impaired cognitive functions which could be the earliest red flag of neurocognitive disorders. The COVID-19 pandemic and related restriction measures changed the lifestyle and behaviour of older adults. The aim of this study was to assess the relation of these changes and SCC status in Hungary. This cross-sectional study analysed the data of 359 elderly Hungarians who filled out the WW-FINGERS-SARS-CoV2 survey. A quarter of the respondents (n:88) reported SCC in connection with the pandemic. We compared sociodemographic features, health status, lifestyle, and social life parameters between subjects with reported SCC and without. To eliminate the potential interrelation across group differences, stepwise logistic regression was applied. Participants with SCC showed the following characteristics, compared to individuals without: (1) they were older; (2) they were more likely to be women; (3) they had a higher number of chronic disorders; (4) showed more prominent impairment in physical mobility; (5) had worse sleep quality; (6) spent less time with family; and (7) used internet more frequently during the pandemic (all p ’s < 0.001). Logistic regression highlighted that only two parameters were related to SCC status independently, the physical mobility (ability to walk 500 m without difficulties; OR = 1.186; p < 0.001; 95%CI = 1.101, 1.270) and changes in time spent with grandchildren (OR = 1.04; p = 0.015; 95%CI = 1.008, 1.073). Our study draws attention to the importance of physical mobility and quality time with family as key factors in the cognitive well-being of elderly people. LA - English DB - MTMT ER - TY - JOUR AU - Molnár, Hajnalka AU - Marosi, Csilla AU - Becske, Melinda AU - Békési, E. AU - Farkas, Kinga AU - Stefanics, G. AU - Czigler, István AU - Csukly, Gábor TI - A comparison of visual and acoustic mismatch negativity as potential biomarkers in schizophrenia JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 14 PY - 2024 IS - 1 PG - 11 SN - 2045-2322 DO - 10.1038/s41598-023-49983-5 UR - https://m2.mtmt.hu/api/publication/34523124 ID - 34523124 LA - English DB - MTMT ER - TY - JOUR AU - Lugosi, Katalin AU - Engh, Marie Anne AU - Huszár, Zsolt AU - Hegyi, Péter AU - Mátrai, Péter AU - Csukly, Gábor AU - Molnár, Zsolt AU - Horváth, Klaudia AU - Mátis, Dóra AU - Mezei, Zsolt TI - Domain-specific cognitive impairment in multiple sclerosis : A systematic review and meta-analysis JF - ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY J2 - ANN CLIN TRANSL NEUROL VL - 11 PY - 2024 IS - 3 SP - 564 EP - 576 PG - 13 SN - 2328-9503 DO - 10.1002/acn3.51976 UR - https://m2.mtmt.hu/api/publication/34501793 ID - 34501793 N1 - Meta-Analysis; Systematic Review; Journal Article AB - Methods of cognitive measurements in multiple sclerosis (MS) are not standardized. We aimed to identify the prevalence of cognitive domain-specific impairment (DSI) in MS by using subtests of the Brief Repeatable Battery of Neuropsychological Tests (BRB-N) with analyzing different cutoff values.The systematic review and meta-analysis were registered on PROSPERO (ID: CRD42021287004). The systematic literature search was performed via PubMed, Embase, and CENTRAL on 24 October 2021. Inclusion criteria were adults of different MS subtypes (CIS, RRMS, PPMS, and SPMS) with the condition of distinct DSI measured by BRB-N. Pediatric MS, computerized versions of BRB-N, and patients receiving steroids were excluded. Primary outcome was pooled prevalence rates of impaired patients within each cutoff and MS subtype, with 95% confidence interval, I-squared statistics for heterogeneity, and chi-squared test for subgroup differences. Risk of bias was assessed using the "JBI Quality Assessment Tool for Prevalence Studies."In 48 eligible observational studies (n = 3431 patients), the three most prevalent thresholds were the 2.0 SD and 1.5 SD below the mean of normative values, and the score below the fifth percentile of the normative values. A progressively increasing worsening of the overall DSI was observed from CIS, moving toward RRMS, PPMS, and SPMS.Cognitive impairment is observed in all MS phenotypes, with varying degrees. Due to several potential influencing factors, our comprehensive literature review has not revealed consistent findings, and we, therefore, recommend considering a more sophisticated, "individual referencing" approach, acknowledging the diverse clinical and sociodemographic characteristics among populations and disparities in cognitive testing. LA - English DB - MTMT ER - TY - JOUR AU - Farkas, Kinga AU - Csukly, Gábor AU - Fonagy, P. TI - IS THE BALINT GROUP AN OPPORTUNITY TO MENTALIZE? JF - BRITISH JOURNAL OF PSYCHOTHERAPY J2 - BR J PSYCHOTHER VL - 40 PY - 2024 IS - 1 SP - 55 EP - 75 PG - 21 SN - 0265-9883 DO - 10.1111/bjp.12880 UR - https://m2.mtmt.hu/api/publication/34452906 ID - 34452906 LA - English DB - MTMT ER - TY - JOUR AU - Pavlekovics, Márk AU - Engh, Marie Anne AU - Lugosi, Katalin AU - Szabó, László AU - Hegyi, Péter AU - Terebessy, Tamás AU - Csukly, Gábor AU - Molnár, Zsolt AU - Illés, Zsolt László AU - Lovas, Gábor TI - Plasma Exchange versus Intravenous Immunoglobulin in Worsening Myasthenia Gravis : A Systematic Review and Meta-Analysis with Special Attention to Faster Relapse Control JF - BIOMEDICINES J2 - BIOMEDICINES VL - 11 PY - 2023 IS - 12 PG - 15 SN - 2227-9059 DO - 10.3390/biomedicines11123180 UR - https://m2.mtmt.hu/api/publication/34453589 ID - 34453589 N1 - Journal Article; Review AB - Currently used rescue interventions to prevent rapid myasthenic deterioration are plasma exchange (PLEX) and intravenous immunoglobulin (IVIG). We investigated the evidence to determine whether the two methods were interchangeable or whether one was superior to the other. This review was registered on PROSPERO (CRD42021285985). Only randomized controlled trials (RCTs) comparing the efficacy and safety of PLEX and IVIG in patients with moderate-to-severe myasthenia gravis (MG) were included. Five major databases were systematically searched (PubMed, CENTRAL, Embase, Scopus, and Web of Science). Odds ratios (OR) with 95% confidence intervals (CI) were calculated for adverse events and mean differences (MD) for changes in quantitative myasthenia gravis scores (QMG). Three RCTs met the inclusion criteria. Two investigating 114 patients in total were eligible for meta-analysis to analyze efficacy and safety. For the change in QMG score, the MD was -2.8 (95% CI: -5.614-0.113), with PLEX performing better. For adverse events, an OR of 1.04 was found (95% CI: 0.25-4.27). This study demonstrated a low risk of bias in evaluating treatment efficacy but indicated a high risk of bias in assessing procedural safety outcomes. Although the results did not show any significant difference, there was a tendency indicating faster efficacy of PLEX in the first two weeks of treatment. In such a critical clinical condition, this tendency may be clinically meaningful, but further studies should clarify this benefit. LA - English DB - MTMT ER - TY - JOUR AU - Bolla, Gergő Levente AU - Berente, Dalida Borbála AU - Andrássy, Anita AU - Zsuffa, János AU - Hidasi, Zoltán AU - Csibri, Eva AU - Csukly, Gábor AU - Kamondi, Anita AU - Kiss, Mate AU - Horváth, András Attila TI - Comparison of the diagnostic accuracy of resting-state fMRI driven machine learning algorithms in the detection of mild cognitive impairment. JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 13 PY - 2023 IS - 1 PG - 16 SN - 2045-2322 DO - 10.1038/s41598-023-49461-y UR - https://m2.mtmt.hu/api/publication/34437476 ID - 34437476 AB - Mild cognitive impairment (MCI) is a potential therapeutic window in the prevention of dementia; however, automated detection of early cognitive deterioration is an unresolved issue. The aim of our study was to compare various classification approaches to differentiate MCI patients from healthy controls, based on rs-fMRI data, using machine learning (ML) algorithms. Own dataset (from two centers) and ADNI database were used during the analysis. Three fMRI parameters were applied in five feature selection algorithms: local correlation, intrinsic connectivity, and fractional amplitude of low frequency fluctuations. Support vector machine (SVM) and random forest (RF) methods were applied for classification. We achieved a relatively wide range of 78-87% accuracy for the various feature selection methods with SVM combining the three rs-fMRI parameters. In the ADNI datasets case we can also see even 90% accuracy scores. RF provided a more harmonized result among the feature selection algorithms in both datasets with 80-84% accuracy for our local and 74-82% for the ADNI database. Despite some lower performance metrics of some algorithms, most of the results were positive and could be seen in two unrelated datasets which increase the validity of our methods. Our results highlight the potential of ML-based fMRI applications for automated diagnostic techniques to recognize MCI patients. LA - English DB - MTMT ER - TY - JOUR AU - Sákovics, Anna AU - Csukly, Gábor AU - Virág, Márta AU - Borbély, Csaba AU - Kelemen, Anna AU - Erőss, Loránd AU - Fabó, Dániel TI - Prolongation of cortical sleep spindles during hippocampal interictal epileptiform discharges in epilepsy patients JF - EUROPEAN JOURNAL OF NEUROLOGY J2 - EUR J NEUROL VL - 30 PY - 2023 SP - 624 EP - 625 PG - 2 SN - 1351-5101 UR - https://m2.mtmt.hu/api/publication/34428820 ID - 34428820 LA - English DB - MTMT ER -