Marián Kolenič

ORCID: 0000-0002-2382-3478
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About
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Research Areas
  • Schizophrenia research and treatment
  • Functional Brain Connectivity Studies
  • Diet and metabolism studies
  • Health, Environment, Cognitive Aging
  • Advanced Neuroimaging Techniques and Applications
  • Health Systems, Economic Evaluations, Quality of Life
  • Bipolar Disorder and Treatment
  • Advanced Causal Inference Techniques
  • Statistical Methods and Bayesian Inference
  • Electroconvulsive Therapy Studies
  • Mental Health Research Topics
  • Sleep and related disorders
  • Neurological and metabolic disorders
  • Electrolyte and hormonal disorders
  • Cerebral Palsy and Movement Disorders
  • Metal-Catalyzed Oxygenation Mechanisms
  • Tryptophan and brain disorders
  • Long-Term Effects of COVID-19
  • Meta-analysis and systematic reviews
  • demographic modeling and climate adaptation
  • Obsessive-Compulsive Spectrum Disorders
  • Parkinson's Disease Mechanisms and Treatments
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Personality Disorders and Psychopathology
  • Health and Medical Studies

Charles University
2018-2025

National Institute of Mental Health
2017-2024

Opća bolnica Karlovac
2021

Dalhousie University
2021

Abstract Background The greater presence of neurodevelopmental antecedants may differentiate schizophrenia from bipolar disorders (BD). Machine learning/pattern recognition allows us to estimate the biological age brain structural magnetic resonance imaging scans (MRI). discrepancy between and chronological could contribute early detection differentiation BD schizophrenia. Methods We estimated in 2 studies focusing on stages or BD. In first study, we recruited 43 participants with episode...

10.1093/schbul/sbx172 article EN Schizophrenia Bulletin 2017-11-14

Abstract Schizophrenia is frequently associated with obesity, which linked neurostructural alterations. Yet, we do not understand how the brain correlates of obesity map onto changes in schizophrenia. We obtained MRI-derived cortical and subcortical measures body mass index (BMI) from 1260 individuals schizophrenia 1761 controls 12 independent research sites within ENIGMA-Schizophrenia Working Group. jointly modeled statistical effects BMI using mixed effects. was additively structure many...

10.1038/s41380-022-01616-5 article EN cc-by Molecular Psychiatry 2022-06-14

Abstract Background Obesity is highly prevalent in schizophrenia, with implications for psychiatric prognosis, possibly through links between obesity and brain structure. In this longitudinal study first episode of psychosis (FEP), we used machine learning structural magnetic resonance imaging (MRI) to the impact psychotic illness on ageing/neuroprogression shortly after onset. Methods We acquired 2 prospective MRI scans average 1.61 years apart 183 FEP 155 control individuals. a model...

10.1093/schbul/sbab064 article EN Schizophrenia Bulletin 2021-05-06

Abstract Background The most common causes of death in schizophrenia are cardiovascular disorders, which closely related to metabolic syndrome/obesity. To better understand the development alterations early course illness, we quantified daily medication exposure first days hospitalization for psychosis and it changes weight markers. Study Design We recruited participants with episode (FEP, N = 173) during their psychiatric compared them controls ( 204). prospectively collected weight, body...

10.1111/acps.13594 article EN cc-by-nc-nd Acta Psychiatrica Scandinavica 2023-08-01

Longitudinal neuroimaging studies offer valuable insight into intricate dynamics of brain development, ageing, and disease progression over time. However, prevailing analytical approaches rooted in our understanding population variation are primarily tailored for cross-sectional studies. To fully harness the potential longitudinal data, we have to develop refine methodologies that adapted designs, considering complex interplay between individual dynamics.We build on normative modelling...

10.7554/elife.95823.3 preprint EN 2025-01-06

Longitudinal neuroimaging studies offer valuable insight into brain development, ageing, and disease progression over time. However, prevailing analytical approaches rooted in our understanding of population variation are primarily tailored for cross-sectional studies. To fully leverage the potential longitudinal neuroimaging, we need methodologies that account complex interplay between individual dynamics. We extend normative modelling framework, which evaluates an individual’s position...

10.7554/elife.95823.4 article EN cc-by eLife 2025-03-12

The cerebellum is involved in cognitive processing and emotion control. Cerebellar alterations could explain symptoms of schizophrenia spectrum disorder (SZ) bipolar (BD). In addition, literature suggests that lithium might influence cerebellar anatomy. Our aim was to study anatomy SZ BD, investigate the effect lithium.Participants from 7 centers worldwide underwent a 3T MRI. We included 182 patients with SZ, 144 322 controls. automatically segmented using CERES pipeline. All outputs were...

10.1111/acps.13087 article EN Acta Psychiatrica Scandinavica 2019-08-16

Abstract Longitudinal neuroimaging studies offer valuable insight into intricate dynamics of brain development, ageing, and disease progression over time. However, prevailing analytical approaches rooted in our understanding population variation are primarily tailored for cross-sectional studies. To fully harness the potential longitudinal data, we have to develop refine methodologies that adapted designs, considering complex interplay between individual dynamics. We build on normative...

10.1101/2023.06.09.544217 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2023-06-09

Objective Structural MRI ( sMRI ) increasingly offers insight into abnormalities inherent to schizophrenia. Previous machine learning applications suggest that individual classification is feasible and reliable and, however, focused on the predictive performance of clinical status in cross‐sectional designs, which has limited biological perspectives. Moreover, most studies depend relatively small cohorts or single recruiting site. Finally, no study controlled for disease stage medication's...

10.1111/acps.12964 article EN Acta Psychiatrica Scandinavica 2018-09-21

Longitudinal neuroimaging studies offer valuable insight into intricate dynamics of brain development, ageing, and disease progression over time. However, prevailing analytical approaches rooted in our understanding population variation are primarily tailored for cross-sectional studies. To fully harness the potential longitudinal data, we have to develop refine methodologies that adapted designs, considering complex interplay between individual dynamics.We build on normative modelling...

10.7554/elife.95823.1 preprint EN 2024-04-29

Reports of subjective sleep impairments have been replicated in adults with bipolar disorder (BD), young BD patients, and even children parents BD. Furthermore, circadian rhythm alterations are a core feature Despite the impairment rhythms altered included various heuristic developmental models BD, thus far, biomarkers not sufficiently objectively validated. Thus, here, we assessed rest-activity rhythmicity macrostructure using actigraphy sample unaffected child adolescent offspring (BO; n =...

10.1080/07420528.2019.1630631 article EN Chronobiology International 2019-07-01

Longitudinal neuroimaging studies offer valuable insight into brain development, ageing, and disease progression over time. However, prevailing analytical approaches rooted in our understanding of population variation are primarily tailored for cross-sectional studies. To fully leverage the potential longitudinal neuroimaging, we need methodologies that account complex interplay between individual dynamics. We extend normative modelling framework, which evaluates an individual's position...

10.7554/elife.95823 article EN cc-by eLife 2024-04-29

Seasonal peaks in hospitalizations for mood disorders and schizophrenia are well recognized often replicated. The within-subject tendency to experience illness episodes the same season, that is, seasonal course, is much less established, as certain individuals may temporarily meet criteria course purely by chance.In this population, prospective cohort study, we investigated whether between patterns of occurred more frequently than would be expected chance.Using a compulsory, standardized...

10.1111/bdi.12884 article EN Bipolar Disorders 2019-12-28

Background: Neurostructural alterations are often reported in first episode of psychosis (FEP), but there is heterogeneity the direction and location findings between individual studies. The reasons for this remain unknown. Obesity disproportionately frequent already early course associated with smaller brain volumes. Thus, we hypothesized that obesity may contribute to changes FEP. Method: We analyzed MRI scans from 120 patients FEP 114 controls. In primary analyses, performed voxel-based...

10.3389/fpsyt.2020.556759 article EN cc-by Frontiers in Psychiatry 2020-09-23

Abstract Background Bipolar disorder (BD) is linked to circadian rhythm disruptions resulting in aberrant motor activity patterns. We aimed explore whether alone, as assessed by longitudinal actigraphy, can be used classify accurately BD patients and healthy controls (HCs) into their respective groups. Methods Ninety-day actigraphy records from 25 interepisode (ie, Montgomery–Asberg Depression Rating Scale (MADRS) Young Mania (YMRS) < 15) sex- age-matched HCs were order identify latent...

10.1017/s1092852920001777 article EN CNS Spectrums 2020-09-04

Abstract Background Lateral ventricular enlargement represents a canonical morphometric finding in chronic patients with schizophrenia; however, longitudinal studies elucidating complex dynamic trajectories of volume change during critical early disease stages are sparse. Methods We measured lateral volumes 113 first-episode schizophrenia (FES) at baseline visit (11.7 months after illness onset, SD = 12.3) and 128 age- sex-matched healthy controls (HC) using 3T MRI. MRI was then repeated...

10.1186/s12888-024-05749-5 article EN cc-by BMC Psychiatry 2024-04-24

Abstract In this study, we explore the intricate landscape of brain connectivity in early stages schizophrenia, focusing on patterns hyper- and hypoconnectivity. Despite existing literature’s support for altered functional (FC) inconsistencies controversies persist regarding specific dysconnections. Leveraging a large sample 100 first-episode schizophrenia patients (42 females/58 males) 90 healthy controls (50 females/40 males), compare across regions Automated Anatomical Labeling atlas. We...

10.1101/2024.09.20.613853 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-09-20

Abstract Background We need to better understand the risk factors and predictors of medication-related weight gain improve metabolic health individuals with schizophrenia. This study explores how trajectories antipsychotic medication (AP) use impact body early in course Methods recruited 92 participants first-episode psychosis (FEP, n = 92) during their first psychiatric hospitalization. prospectively collected weight, mass index (BMI), markers, exact daily exposure 6-week quantified...

10.1192/j.eurpsy.2024.1761 article EN cc-by-nc-nd European Psychiatry 2024-01-01

Individuals recovering from COVID-19 may experience persistent impairment in verbal memory performance, potentially due to illness-related hippocampal injury. Although dysfunction is central schizophrenia, the interactions between this vulnerability and remain unclear, with no imaging studies addressing issue to-date. To explore gap generate hypotheses for future research, we adopted a multiple case study approach. Two pairs of individuals an ICD-10 diagnosis schizophrenia were selected,...

10.1080/23279095.2024.2416061 article EN Applied Neuropsychology Adult 2024-10-14
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