Aurora Bonvino
A5051811395- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Schizophrenia research and treatment
- Bipolar Disorder and Treatment
- Cannabis and Cannabinoid Research
- Advanced MRI Techniques and Applications
- Birth, Development, and Health
- Mental Health Research Topics
- Retinal Imaging and Analysis
- Neurotransmitter Receptor Influence on Behavior
- COVID-19 and Mental Health
- Health, Environment, Cognitive Aging
- Psychology of Development and Education
- Neuroscience of respiration and sleep
- Acute Ischemic Stroke Management
- Educational Innovations and Technology
- Innovative Teaching and Learning Methods
- Seismic Waves and Analysis
- Geological and Geophysical Studies
- Autism Spectrum Disorder Research
- Attachment and Relationship Dynamics
- Dementia and Cognitive Impairment Research
- Tryptophan and brain disorders
- Creativity in Education and Neuroscience
- Attention Deficit Hyperactivity Disorder
University of Foggia
2023-2024
University of Bari Aldo Moro
2014-2021
Vrije Universiteit Amsterdam
2021
Universitätsklinikum Aachen
2019
RWTH Aachen University
2019
Casa Sollievo della Sofferenza
2018-2019
Istituti di Ricovero e Cura a Carattere Scientifico
2019
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...
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...
Both cannabis use and the dopamine receptor (DRD2) gene have been associated with schizophrenia, psychosis-like experiences, cognition. However, there are no published data investigating whether genetically determined variation in DRD2 dopaminergic signaling might play a role individual susceptibility to cannabis-associated psychosis. We genotyped (1) case-control study of 272 patients their first episode psychosis 234 controls, also from (2) sample 252 healthy subjects, for functional DRD2,...
Abstract Delineating age-related cortical trajectories in healthy individuals is critical given the association of thickness with cognition and behaviour. Previous research has shown that deriving robust estimates brain morphometric changes requires large-scale studies. In response, we conducted a analysis 17,075 aged 3-90 years by pooling data through Lifespan Working group Enhancing Neuroimaging Genetics Meta-Analysis (ENIGMA) Consortium. We used fractional polynomial (FP) regression to...
Abstract For many traits, males show greater variability than females, with possible implications for understanding sex differences in health and disease. Here, the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Consortium presents largest-ever mega-analysis of brain structure, based on international data spanning nine decades life. Subcortical volumes, cortical surface area thickness were assessed MRI 16,683 healthy individuals 1-90 years old (47% females). We observed...
Abstract 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 capitalised resources Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to examine age-related morphometric ventricles, basal ganglia (caudate, putamen,...
Abstract Background Previous models suggest biological and behavioral continua among healthy individuals (HC), at-risk condition, full-blown schizophrenia (SCZ). Part of these may be captured by schizotypy, which shares subclinical traits phenotypes with SCZ, including thalamic structural abnormalities. In this regard, previous findings have suggested that multivariate volumetric patterns individual nuclei discriminate HC from SCZ. These results were obtained using machine learning, allows...
Introduction Schizotypy refers to a set of temporally stable traits that are observed in the general population and resemble, attenuated form, symptoms schizophrenia. In previous work, we identified volumetric patterns thalamic subregions which were associated with disease status, trained random forests classifier, accounting for such patterns, discriminated healthy controls (HC) from patients schizophrenia (SCZ) (81% accuracy) [1]. Objectives i) assess performance classifier developed by...