- Schizophrenia research and treatment
- Diet and metabolism studies
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Mental Health Research Topics
- Mental Health and Psychiatry
- Diabetes Management and Research
- Bipolar Disorder and Treatment
- Free Will and Agency
- Genetic Syndromes and Imprinting
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Genomics and Rare Diseases
- Obsessive-Compulsive Spectrum Disorders
- Advanced MRI Techniques and Applications
- Nutritional Studies and Diet
- Electron and X-Ray Spectroscopy Techniques
- Fatty Acid Research and Health
- Digital Mental Health Interventions
- Neurological and metabolic disorders
- Psychopathy, Forensic Psychiatry, Sexual Offending
- Child and Adolescent Psychosocial and Emotional Development
- Psychosomatic Disorders and Their Treatments
- Psychology of Moral and Emotional Judgment
- Olfactory and Sensory Function Studies
- Ultrasound and Cavitation Phenomena
Utrecht University
2014-2021
University Medical Center Utrecht
2014-2021
Bohn Stafleu van Loghum (Netherlands)
2020
Heidelberg University
2018
University Hospital Heidelberg
2018
Hersenstichting
2014
Schizophrenia and related disorders have heterogeneous outcomes. Individualized prediction of long-term outcomes may be helpful in improving treatment decisions. Utilizing extensive baseline data 523 patients with a psychotic disorder variable illness duration, we predicted symptomatic global at 3-year 6-year follow-ups. We classified as (1) symptomatic: remission or not remission, (2) outcome, using the Global Assessment Functioning (GAF) scale, divided into good (GAF ≥ 65) poor < 65)....
Objective More than 40% of patients with schizophrenia have an additional diagnosis the metabolic syndrome ( MS ), possibly related to poor cognition. This study investigated premorbid and current cognitive functioning in co‐occurrence . Method A total 104 participants 142 without were included. Neuropsychological assessment was carried out using Wechsler Adult Intelligence Scale‐ III , Word Learning Task, Continuous Performance Test‐ HQ Premorbid assessed retrospectively Adjustment Scale....
Objective Metabolic syndrome ( MS ) is highly prevalent in schizophrenia and often a consequence of unhealthy behaviour. Reward‐related brain areas might be associated with , since they play major role regulating health This study examined the relationship between volumes related to reward system schizophrenia. Method We included patients schizophrenia, +; n = 23), without −; 48), healthy controls 54). Global (sub)cortical areas, part circuit, were compared controls. In case significant...
The co-occurrence of a copy number variant (CNV) and functional on the other allele may be relevant genetic mechanism in schizophrenia. We hypothesized that cumulative burden such double hits-in particular those composed deletion coding single-nucleotide variation (SNV)-is increased patients with combined CNV data variants 795 schizophrenia 474 controls. To limit false CNV-detection, only CNVs called by two algorithms were included. CNV-affected genes subsequently examined for SNVs, which we...
Cel Schizofrenia jest zaburzeniem o zróżnicowanym przebiegu. Oprócz objawów pozytywnych i negatywnych towarzyszą jej często zaburzenia funkcji poznawczych, które niejednokrotnie poprzedzają chorobę. Niewątpliwy związek między zdolnościami poznawczymi a następstwami schizofrenii. Biorąc to pod uwagę, jak również pamiętając, że najwcześniejsze rozpoznanie leczenie schizofrenii daje większe szanse na lepszy efekt końcowy, niniejsze badanie sprawdzało hipotezę mówiącą, funkcjonowanie poznawcze...
Schizophrenia and related disorders have heterogeneous outcomes. Predicting long-term psychosis outcome may be helpful in improving treatment decision making. The aim of our study was to develop validate a prediction model individual patients. Many studies shown that is symptoms, demographic, clinical, cognitive, genetic environmental data – at the level correlations. We hypothesized that, using machine learning (ML), it possible predict based on patterns are present these baseline. Second,...
It has been suggested that specific psychotic symptom clusters may be explained by patterns of biological abnormalities. The presence first rank symptoms (FRS) associated with cognitive abnormalities, e.g., deficits in self-monitoring or the experience agency, suggesting a network neural abnormalities might underlie FRS. Here, we investigate differences cortical and subcortical brain volume between patients without FRS.Three independent patient samples (referred to as A, B, C) different mean...
Background In schizophrenia about 40% of patients have an additional diagnosis metabolic syndrome (MetS). this present study the effect MetS on cognition in a relatively young group with was examined. Methods 290 (age/sd = 30/6.37 years old) were included study. Patients divided into two groups, those and without (MetS+/MetS-). Neuropsychological performance assessed Wechsler Adult Intelligence Scale-III, Continuous Performance Test-HQ, Word Learning Task Response Shifting Task. Results 124...
Background: Facial Affect Recognition (FAR) is the capacity to understand and interpret facial expressions. It previously shown that schizophrenia patients siblings (albeit a lesser extent) perform worse on FAR (Meijer et al, Psychol Med, 2012). The social brain network (SBN) associated with emotion processing, interaction between grey white matter within might explain poor performance. Here, we investigate whether disturbed can be explained by differential association following modalities:...
Background: Metabolic syndrome (MetS) is highly prevalent in schizophrenia. Unhealthy lifestyles, such as overeating, smoking and sedentary behavior are more common schizophrenia than the general population play an important role development of MetS (Papanastasiou, 2012). Key to adaptive health ability evaluate reward risk accurately, which mediated by circuit brain (Haber Knutson, 2010). This implicated (De Leeuw et al., 2014). Examining relation these areas informs us about neural...