David Popovic
A5042623755- Schizophrenia research and treatment
- Functional Brain Connectivity Studies
- Mental Health Research Topics
- Child and Adolescent Psychosocial and Emotional Development
- Tryptophan and brain disorders
- Diet and metabolism studies
- Mental Health and Psychiatry
- Bipolar Disorder and Treatment
- EEG and Brain-Computer Interfaces
- Personality Disorders and Psychopathology
- Child Abuse and Trauma
- Stress Responses and Cortisol
- Advanced Neuroimaging Techniques and Applications
- Health, Environment, Cognitive Aging
- Attention Deficit Hyperactivity Disorder
- Psychosomatic Disorders and Their Treatments
- Treatment of Major Depression
- Maternal Mental Health During Pregnancy and Postpartum
- Machine Learning in Healthcare
- Technology and Human Factors in Education and Health
- SARS-CoV-2 detection and testing
- Cognitive Abilities and Testing
- Amyotrophic Lateral Sclerosis Research
- Bullying, Victimization, and Aggression
- Hallucinations in medical conditions
Max Planck Institute of Psychiatry
2020-2025
Ludwig-Maximilians-Universität München
2016-2024
LMU Klinikum
2020-2024
München Klinik
2020
Max Planck Society
2020
Klinik und Poliklinik für Psychiatrie und Psychotherapie
2020
Gold Skin Care Center
2020
Diverse models have been developed to predict psychosis in patients with clinical high-risk (CHR) states. Whether prediction can be improved by efficiently combining and biological broadening the risk spectrum young depressive syndromes remains unclear.To evaluate whether transition predicted CHR or recent-onset depression (ROD) using multimodal machine learning that optimally integrates neurocognitive data, structural magnetic resonance imaging (sMRI), polygenic scores (PRS) for...
Preliminary studies suggest that, besides improving cognition, aerobic exercise might increase hippocampal volume in schizophrenia patients; however, results are not consistent. Individual mechanisms of changes unknown but be connected to the load risk genes. Genome-wide association have uncovered polygenic architecture schizophrenia. The secondary analysis presented here aimed determine modulatory role scores (PRSs) on total hippocampus and cornu ammonis (CA) 1, CA2/3, CA4/dentate gyrus...
Significance Animals must adapt to constantly changing environments, defend themselves against predators, and protect mates territories. Learning memory are key elements the adaptations made for survival. Drosophila have been favorite study animals identifying genes brain regions involved in learning under a variety of associative social paradigms. Here, we explore an uncharacterized paradigm related aggression consequences winning losing bouts. We demonstrate that short- long-term memories...
<h3>Importance</h3> The behavioral and cognitive symptoms of severe psychotic disorders overlap with those seen in dementia. However, shared brain alterations remain disputed, their relevance for patients at-risk disease stages has not been explored so far. <h3>Objective</h3> To use machine learning to compare the expression structural magnetic resonance imaging (MRI) patterns behavioral-variant frontotemporal dementia (bvFTD), Alzheimer (AD), schizophrenia; estimate predictability bvFTD...
Schizophrenia (SCZ) is a highly heritable brain disorder marked by wide range of changes throughout the central nervous system. These include alterations at molecular and cellular levels, suggesting significant disruptions in synapse function, as well modifications structure activity. However, it remains unclear, how biology translate into neurophysiological ultimately behavioral consequences across scales. Here, we narrow this translational gap contemporary biological psychiatry...
<title>Abstract</title> Biological risk signatures could aid the early detection of schizophrenia, but their precision likely depends on clinical definitions they are derived from. Using machine learning, we analyzed structural MRI data from 1,425 patients and 907 healthy individuals in a multi-site multi-diagnostic database to detect validate different syndromes―Cognitive Disturbances (COGDIS), Ultra-High-Risk (UHR) or COGDIS + UHR―compared schizophrenia. Patients with not UHR-related...
Approaches are needed to stratify individuals in early psychosis stages beyond positive symptom severity investigate specificity related affective and normative variation validate solutions with premorbid, longitudinal, genetic risk measures.
Abstract In schizophrenia, neurocognitive subtypes can be distinguished based on cognitive performance and they are associated with neuroanatomical alterations. We investigated the existence of in shortly medicated recent onset psychosis patients, their underlying gray matter volume patterns clinical characteristics. used a K-means algorithm to cluster 108 patients from multi-site EU PRONIA (Prognostic tools for early management) study validated solution independently ( N = 53). Cognitive...
Weight gain is a common side effect in psychopharmacology; however, targeted therapeutic interventions and prevention strategies are currently absent day-to-day clinical practice. To promote the development of such strategies, identification factors indicative patients at risk essential. In this study, we developed transdiagnostic model using comparing decision tree classifiers, logistic regression, XGboost, support vector machine to predict weight ≥5% body during first 4 weeks treatment...
Abstract Cannabis use during adolescence is associated with an increased risk of developing psychosis. According to a current hypothesis, this results from detrimental effects early cannabis on brain maturation vulnerable period. However, studies investigating the interaction between and structural alterations hitherto reported inconclusive findings. We investigated age initiation psychosis using data multicentric Personalized Prognostic Tools for Early Psychosis Management (PRONIA) Induced...
Formal thought disorder (FTD) has been associated with more severe illness courses and functional deficits in patients psychotic disorders. However, it remains unclear whether the presence of FTD characterises a specific subgroup showing prominent severity, neurocognitive impairments. This study aimed to identify stable generalizable FTD-subgroups recent-onset psychosis (ROP) by applying comprehensive data-driven clustering approach test validity these subgroups assessing associations...
Background Child sexual abuse (CSA) has become a focal point for lawmakers, law enforcement, and mental health professionals. With high prevalence rates around the world far-reaching, often chronic, individual, societal implications, CSA its leading risk factor, pedophilia, have been well investigated. This led to wide range of clinical tools actuarial instruments diagnosis assessment regarding CSA. However, neurobiological underpinnings pedosexual behavior, specifically hands-on pedophilic...
Abstract Cognitively impaired and spared patient subgroups were identified in psychosis depression, clinical high-risk for (CHR). Studies suggest differences underlying brain structural functional characteristics. It is unclear whether cognitive are transdiagnostic phenomena early stages of psychotic affective disorder which can be validated on the neural level. Patients with recent-onset (ROP; N = 140; female 54), depression (ROD; 130; 73), CHR ( 128; 61) healthy controls (HC; 270; 165)...
Abstract Subtle subjective visual dysfunctions (VisDys) are reported by about 50% of patients with schizophrenia and suggested to predict psychosis states. Deeper insight into VisDys, particularly in early states, could foster the understanding basic disease mechanisms mediating susceptibility psychosis, thereby inform preventive interventions. We systematically investigated relationship between VisDys core clinical measures across three phase psychiatric conditions. Second, we used a novel...
Abstract Background Electroencephalography (EEG) is a noninvasive, cost-effective, and robust tool, which directly measures in vivo neuronal mass activity with high temporal resolution. Combined state-of-the-art machine learning (ML) techniques, EEG recordings could potentially yield silico biomarkers of severe mental disorders. Hypothesis Pathological physiological aging processes influence the electrophysiological signatures schizophrenia (SCZ) major depressive disorder (MDD). Study Design...
Childhood trauma (CT) is associated with an increased risk of mental health disorders; however, it unknown whether this represents a diagnosis-specific factor for specific psychopathology mediated by structural brain changes. Our aim was to explore (i) predictive CT pattern transdiagnostic exists, and (ii) can differentiate between distinct diagnosis-dependent psychopathology. Furthermore, we aimed identify the association CT, structure.We used multivariate analysis in data from 643...
Neuroimaging-based machine learning (ML) algorithms have the potential to aid clinical diagnosis of schizophrenia. However, literature on effect prevalent comorbidities such as substance use disorder (SUD) and antisocial personality (ASPD) these models' performance has remained unexplored. We investigated whether presence SUD or ASPD affects neuroimaging-based ML models trained discern patients with schizophrenia (SCH) from controls.We an model structural MRI data public datasets distinguish...
Abstract Unipolar depression is a prevalent and disabling condition, often left untreated. In the outpatient setting, general practitioners fail to recognize in about 50% of cases mainly due somatic comorbidities. Given significant economic, social, interpersonal impact its increasing prevalence, there need improve diagnosis treatment care. Various efforts have been made isolate individual biological markers for streamline diagnostic therapeutic approaches. However, intricate dynamic...
Symptom heterogeneity characterizes psychotic disorders and hinders the delineation of underlying biomarkers. Here, we identify symptom-based subtypes recent-onset psychosis (ROP) patients from multi-center PRONIA (Personalized Prognostic Tools for Early Psychosis Management) database explore their multimodal biological functional signatures. We clustered N = 328 ROP based on maximum factor scores in an exploratory analysis