Fabrizio Piras
A5031284141- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Schizophrenia research and treatment
- Obsessive-Compulsive Spectrum Disorders
- Autism Spectrum Disorder Research
- Neurobiology of Language and Bilingualism
- Parkinson's Disease Mechanisms and Treatments
- Dementia and Cognitive Impairment Research
- Stroke Rehabilitation and Recovery
- Mental Health Research Topics
- Acute Ischemic Stroke Management
- Advanced MRI Techniques and Applications
- Alzheimer's disease research and treatments
- Bipolar Disorder and Treatment
- Neurological disorders and treatments
- Genetic Associations and Epidemiology
- Genetics and Neurodevelopmental Disorders
- Neural dynamics and brain function
- Attention Deficit Hyperactivity Disorder
- Neuroscience and Music Perception
- Health, Environment, Cognitive Aging
- Reading and Literacy Development
- Genomics and Rare Diseases
- Fetal and Pediatric Neurological Disorders
- Psychosomatic Disorders and Their Treatments
Fondazione Santa Lucia
2016-2025
Istituti di Ricovero e Cura a Carattere Scientifico
2016-2025
National Institute of Mental Health
2025
SUNY Upstate Medical University
2025
Marymount University
2024
University of Southern California
2020-2023
Imaging Center
2023
Stellenbosch University
2020
Ollscoil na Gaillimhe – University of Galway
2020
University of Basel
2020
One objective of modern neuroimaging is to identify markers that can aid in diagnosis, disease progression monitoring and long-term drug impact analysis. In this study, Parkinson-associated physiopathological modifications were characterized six subcortical structures by simultaneously measuring quantitative magnetic resonance parameters sensitive complementary tissue characteristics (i.e. volume atrophy, iron deposition microstructural damage). Thirty patients with Parkinson's 22 control...
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Consortium combines data from many institutions worldwide. However, introduces heterogeneity due to different scanning devices and sequences. ENIGMA projects commonly address with random-effects meta-analysis or mixed-effects mega-analysis. Here we tested whether batch adjustment method, ComBat, can further reduce site-related...
Abstract Accurate lesion segmentation is critical in stroke rehabilitation research for the quantification of burden and accurate image processing. Current automated methods T1-weighted (T1w) MRIs, commonly used research, lack accuracy reliability. Manual remains gold standard, but it time-consuming, subjective, requires neuroanatomical expertise. We previously released an open-source dataset T1w MRIs manually-segmented masks (ATLAS v1.2, N = 304) to encourage development better algorithms....
Left–right asymmetry is an important organizing feature of the healthy brain that may be altered in schizophrenia, but most studies have used relatively small samples and heterogeneous approaches, resulting equivocal findings. We carried out largest case–control study structural asymmetries with MRI data from 5,080 affected individuals 6,015 controls across 46 datasets, using a single image analysis protocol. Asymmetry indexes were calculated for global regional cortical thickness, surface...
Abstract Background There is no consensus about which hippocampal subfields become atrophic earliest in the course of Alzheimer's disease (AD). Methods Thirty AD patients, 41 mild cognitive impairment (MCI) and 38 healthy controls (HCs) underwent cerebral magnetic resonance imaging (with an automated segmentation protocol for volumetric analysis subfields) a test immediate delayed recall 15‐word list. Results The volumes presubiculum subiculum presented most remarkable reduction patient's...
Investigating in a case-control study whether the performance scores of group patients with Parkinson disease (PD) without dementia on tests declarative memory could be predicted by hippocampal volume reduction (as assessed automatic segmentation cerebral magnetic resonance [MR] images) or rate microstructural alterations evaluated diffusion tensor analysis MR images).Twenty-five individuals PD and 25 matched healthy control subjects underwent 3-T MRI protocol whole-brain T1-weighted imaging...
ABSTRACT Background Brain structure abnormalities throughout the course of Parkinson's disease have yet to be fully elucidated. Objective Using a multicenter approach and harmonized analysis methods, we aimed shed light on stage‐specific profiles pathology, as suggested by in vivo neuroimaging. Methods Individual brain MRI clinical data from 2357 patients 1182 healthy controls were collected 19 sources. We analyzed regional cortical thickness, surface area, subcortical volume using...
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...
Volumetric studies on deep gray matter structures in bipolar disorder (BP) have reported contrasting results. Childhood trauma, a relevant environmental stressor for BP, could account the variability of results, modulating differences amygdala and hippocampus patients with BP compared healthy controls (HC). Our study aimed to test this hypothesis.We assessed 105 outpatients, diagnosed type I (BP-I) or II (BP-II) according DSM-IV-TR criteria, 113 HC subjects. History childhood trauma was...
Abstract The ENIGMA‐DTI (diffusion tensor imaging) workgroup supports analyses that examine the effects of psychiatric, neurological, and developmental disorders on white matter pathways human brain, as well normal variation its genetic associations. seven ENIGMA disorder‐oriented working groups used workflow to derive patterns deficits using coherent coordinated model disease across cohorts worldwide. This yielded largest studies detailing in schizophrenia spectrum disorder (SSD), bipolar...
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...