Patricia Gruner
A5043705756- Obsessive-Compulsive Spectrum Disorders
- Functional Brain Connectivity Studies
- Autism Spectrum Disorder Research
- Advanced Neuroimaging Techniques and Applications
- Neural and Behavioral Psychology Studies
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Attention Deficit Hyperactivity Disorder
- Botulinum Toxin and Related Neurological Disorders
- Biomedical and Chemical Research
- EEG and Brain-Computer Interfaces
- Advanced MRI Techniques and Applications
- Fetal and Pediatric Neurological Disorders
- Body Image and Dysmorphia Studies
- Cardiovascular Health and Disease Prevention
- Health, Environment, Cognitive Aging
- Retinal Imaging and Analysis
- Schizophrenia research and treatment
- Heart Rate Variability and Autonomic Control
- Birth, Development, and Health
- Eating Disorders and Behaviors
- Blood Pressure and Hypertension Studies
- Mental Health Research Topics
- Tensor decomposition and applications
- Sensor Technology and Measurement Systems
- Agricultural safety and regulations
Yale University
2015-2024
VA Connecticut Healthcare System
2015-2021
New Haven Public Schools
2019
Amsterdam UMC Location Vrije Universiteit Amsterdam
2019
Sunovion (United States)
2019
Kyoto Prefectural University of Medicine
2016-2017
Connecticut Mental Health Center
2014
Fordham University
2013
Zucker Hillside Hospital
2012
Northwell Health
2012
Delineating the association of age and cortical thickness in healthy individuals is critical given with cognition behavior. Previous research has shown that robust estimates between brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 aged 3-90 years Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes thickness. We fractional polynomial (FP) regression quantify thickness, computed normalized...
<h3>Importance</h3> Large-scale neuroimaging studies have revealed group differences in cortical thickness across many psychiatric disorders. The underlying neurobiology behind these is not well understood. <h3>Objective</h3> To determine neurobiologic correlates of between cases and controls 6 disorders: attention-deficit/hyperactivity disorder (ADHD), autism spectrum (ASD), bipolar (BD), major depressive (MDD), obsessive-compulsive (OCD), schizophrenia. <h3>Design, Setting,...
Attention deficit hyperactivity disorder (ADHD), autism spectrum (ASD), and obsessive-compulsive (OCD) are common neurodevelopmental disorders that frequently co-occur. The authors sought to directly compare these using structural brain imaging data from ENIGMA consortium data.
Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies may obscure or distort lifespan trajectories of morphometry. In response, we capitalized resources Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to examine age-related inferred from cross-sectional measures ventricles, basal ganglia...
Individuals with obsessive-compulsive disorder often identify psychosocial stress as a factor that exacerbates their symptoms, and many trace the onset of symptoms to stressful period life or discrete traumatic incident. However, pathophysiological relationship between remains poorly characterized: it is unclear whether trauma an independent cause triggering interacts preexisting diathesis, simply nonspecific can exacerbate along other aspects psychiatric symptomatology. Nonetheless,...
Objective: Brain imaging communities focusing on different diseases increasingly start collaborating and pooling data to perform well-powered meta- mega-analyses. Some methodologists claim that a one-stage individual-participant mega-analysis can be superior two-stage aggregated meta-analysis, since more detailed computations performed in mega-analysis. Before definitive conclusions regarding the performance of either method drawn, it is necessary critically evaluate methodology of, results...
Brain structural covariance networks reflect covariation in morphology of different brain areas and are thought to common trajectories development maturation.Large-scale investigation obsessive-compulsive disorder (OCD) may provide clues the pathophysiology this neurodevelopmental disorder.Using T 1 -weighted MRI scans acquired from 1616 individuals with OCD 1463 healthy controls across 37 datasets participating ENIGMA-OCD Working Group, we calculated intra-individual (using...
Abstract Current knowledge about functional connectivity in obsessive-compulsive disorder (OCD) is based on small-scale studies, limiting the generalizability of results. Moreover, majority studies have focused only predefined regions or networks rather than throughout entire brain. Here, we investigated differences resting-state between OCD patients and healthy controls (HC) using mega-analysis data from 1024 1028 HC 28 independent samples ENIGMA-OCD consortium. We assessed group...
Abstract Only a small number of studies have assessed structural differences between the two hemispheres during childhood and adolescence. However, existing findings lack consistency or are restricted to particular brain region, specific feature, relatively narrow age range. Here, we investigated associations asymmetry as well sex in one largest pediatric samples date ( n = 4265), aged 1–18 years, scanned at 69 sites participating ENIGMA (Enhancing NeuroImaging Genetics through...
No diagnostic biomarkers are available for obsessive-compulsive disorder (OCD). Here, we aimed to identify magnetic resonance imaging (MRI) OCD, using 46 data sets with 2304 OCD patients and 2068 healthy controls from the ENIGMA consortium. We performed machine learning analysis of regional measures cortical thickness, surface area subcortical volume tested classification performance cross-validation. Classification vs. complete sample different classifiers cross-validation strategies was...
Microstructural alterations in cortico-subcortical connections are thought to be present obsessive-compulsive disorder (OCD). However, prior studies have yielded inconsistent findings, perhaps because small sample sizes provided insufficient power detect subtle abnormalities. Here we investigated microstructural white matter and their relation clinical features the largest dataset of adult pediatric OCD date. We analyzed diffusion tensor imaging metrics from 700 patients 645 controls, as...
Summary We present an empirically benchmarked framework for sex-specific normative modeling of brain morphometry that can inform about the biological and behavioral significance deviations from typical age-related neuroanatomical changes support future study designs. This was developed using regional morphometric data 37,407 healthy individuals (53% female; aged 3–90 years) following a comparative evaluation eight algorithms multiple covariate combinations pertaining to image acquisition...
Tailoring treatments to the specific needs and biology of individual patients-personalized medicine-requires delineation reliable predictors response. Unfortunately, these have been slow emerge, especially in neuropsychiatric disorders. We recently described a real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback protocol that can reduce contamination-related anxiety, prominent symptom many cases obsessive-compulsive disorder (OCD). Individual response this intervention is...