Gabriëlla A.M. Blokland
A5078703022- Genetic Associations and Epidemiology
- Functional Brain Connectivity Studies
- Cognitive Abilities and Testing
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Genetics and Neurodevelopmental Disorders
- Mental Health Research Topics
- Epigenetics and DNA Methylation
- Health, Environment, Cognitive Aging
- Bioinformatics and Genomic Networks
- Evolutionary Psychology and Human Behavior
- Schizophrenia research and treatment
- Sex and Gender in Healthcare
- BRCA gene mutations in cancer
- Glaucoma and retinal disorders
- MicroRNA in disease regulation
- Fetal and Pediatric Neurological Disorders
- Psychology of Moral and Emotional Judgment
- Receptor Mechanisms and Signaling
- Neural dynamics and brain function
- Alzheimer's disease research and treatments
- Retinal Diseases and Treatments
- Face Recognition and Perception
- Retinal Imaging and Analysis
- Autism Spectrum Disorder Research
Maastricht University
2019-2025
Maastricht University Medical Centre
2025
Massachusetts General Hospital
2015-2024
Harvard University
2015-2024
Broad Institute
2015-2024
Center for Human Genetics
2015-2017
The University of Queensland
2008-2017
QIMR Berghofer Medical Research Institute
2008-2017
Royal Brisbane and Women's Hospital
2016-2017
ARC Centre of Excellence in Advanced Molecular Imaging
2015
Although key to understanding individual variation in task-related brain activation, the genetic contribution these differences remains largely unknown. Here we report voxel-by-voxel model fitting a large sample of 319 healthy, young adult, human identical and fraternal twins (mean ± SD age, 23.6 1.8 years) who performed an <i>n</i>-back working memory task during functional magnetic resonance imaging (fMRI) at high field (4 tesla). Patterns response (BOLD signal difference 2-back minus...
Abstract Background Cognitive impairment is a clinically important feature of schizophrenia. Polygenic risk score (PRS) methods have demonstrated genetic overlap between schizophrenia, bipolar disorder (BD), major depressive (MDD), educational attainment (EA), and IQ, but very few studies examined associations these PRS cognitive phenotypes within schizophrenia cases. Methods We combined data in 3034 cases from 11 samples using the general intelligence factor g as primary measure cognition....
People evaluate a stranger’s trustworthiness from their facial features in fraction of second, despite common advice “not to judge book by its cover.” Evaluations have critical and widespread social impact, predicting financial lending, mate selection, even criminal justice outcomes. Consequently, understanding how people perceive faces has been major focus scientific inquiry, detailed models explain consensus impressions are driven attributes. However, impression do not consider variation...
The origin of sex differences in prevalence and presentation neuropsychiatric behavioral traits is largely unknown. Given established genetic contributions correlations, we tested for a sex-differentiated architecture within between traits.
Abstract Most complex human traits differ by sex, but we have limited insight into the underlying mechanisms. Here, investigated influence of biological sex on protein expression and its genetic regulation in 1,277 brain proteomes. We found that 13.2% (1,354) proteins had sex-differentiated abundance 1.5% (150) sex-biased quantitative trait loci (sb-pQTLs). Among genes with expression, 67% concordance between transcript levels; however, effects were more evident at level. Considering 24...
The hemodynamic response function (HRF) describes the local of brain vasculature to functional activation. Accurate HRF modeling enables investigation cerebral blood flow regulation and improves our ability interpret fMRI results. Block designs have been used extensively as paradigms because detection power is maximized; however, block are not optimal for parameter estimation. Here we assessed utility design data modeling. trueness (relative deviation), precision uncertainty),...
Abstract Variants at microRNA-137 (MIR137) , one of the most strongly associated schizophrenia risk loci identified to date, have been with poorer cognitive performance. As is known regulate expression ~1900 other genes, including several that are independently schizophrenia, we tested whether this gene set was also variation in Our analysis based on an empirically derived list genes whose altered by manipulation MIR137 expression. This cross-referenced genome-wide association data construct...
Background Late-onset Alzheimer's disease (LOAD) has been associated with alterations in the morphology of multiple brain structures, and it is likely that mechanisms differ between regions. Coupling genetic determinants LOAD measures could localize identify primary causal neurobiological pathways. Objective To determine pathways from risk variants via to LOAD. Methods Mediation Mendelian randomization (MR) analysis were performed using common variation, T1 MRI clinical data collected by UK...
Brain masking of MRI images separates brain from surrounding tissue and its accuracy is important for further imaging analyses. We implemented a new technique based on multi-atlas segmentation (MABS) compared MABS to masks generated using FreeSurfer (FS; version 5.3), Extraction Tool (BET), Brainwash, manually defined (MM) as the gold standard. determined effect different techniques cortical subcortical volumes by FreeSurfer.Images were acquired 3-Tesla MR Echospeed system General Electric...
Abstract There are a wealth of tools for fitting linear models at each location in the brain neuroimaging analysis, and genetic estimating heritability small number phenotypes. But there remains need computationally efficient that can conduct analyses brain‐wide scale. Here we present simple method estimation on twins replaces variance component model‐which requires iterative optimisation‐with (noniterative) regression model, by transforming data to squared twin‐pair differences. We...
Background/Objective. Enlarged lateral ventricle (LV) volume and decreased in the corpus callosum (CC) are hallmarks of schizophrenia (SZ). We previously showed an inverse correlation between LV CC volumes SZ, with global functioning decreasing increased volume. This study investigates relationship volume, abnormalities, microRNA MIR137 its regulated genes because MIR137's essential role neurodevelopment. Methods. Participants were 1224 SZ probands 1466 unaffected controls from GENUS...