Adriana Di Martino

ORCID: 0000-0001-6927-290X
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About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • Autism Spectrum Disorder Research
  • Attention Deficit Hyperactivity Disorder
  • Advanced Neuroimaging Techniques and Applications
  • Neural dynamics and brain function
  • Genetics and Neurodevelopmental Disorders
  • Family and Disability Support Research
  • EEG and Brain-Computer Interfaces
  • Advanced MRI Techniques and Applications
  • Neural and Behavioral Psychology Studies
  • Behavioral and Psychological Studies
  • Fetal and Pediatric Neurological Disorders
  • Neonatal and fetal brain pathology
  • Child Nutrition and Feeding Issues
  • Mental Health Research Topics
  • Hemispheric Asymmetry in Neuroscience
  • Child Development and Digital Technology
  • Obsessive-Compulsive Spectrum Disorders
  • Health, Environment, Cognitive Aging
  • COVID-19 and Mental Health
  • Children's Physical and Motor Development
  • Health disparities and outcomes
  • Dementia and Cognitive Impairment Research
  • Congenital heart defects research
  • Cognitive Abilities and Testing

Child Mind Institute
2012-2025

New York University
2008-2023

Amsterdam UMC Location Vrije Universiteit Amsterdam
2019

Sunovion (United States)
2019

NYU Langone Health
2010-2018

Radboud University Medical Center
2017

Radboud University Nijmegen
2017

KU Leuven
2013

Inserm
2012

Université de Tours
2012

Classically regarded as motor structures, the basal ganglia subserve a wide range of functions, including motor, cognitive, motivational, and emotional processes. Consistent with this broad-reaching involvement in brain function, dysfunction has been implicated numerous neurological psychiatric disorders. Despite recent advances human neuroimaging, models circuitry continue to rely primarily upon inference from animal studies. Here, we provide comprehensive functional connectivity analysis...

10.1093/cercor/bhn041 article EN Cerebral Cortex 2008-04-09

The National Institute of Mental Health strategic plan for advancing psychiatric neuroscience calls an acceleration discovery and the delineation developmental trajectories risk resilience across lifespan. To attain these objectives, sufficiently powered datasets with broad deep phenotypic characterization, state-of-the-art neuroimaging, genetic samples must be generated made openly available to scientific community. enhanced Nathan Kline Institute-Rockland Sample (NKI-RS) is a response this...

10.3389/fnins.2012.00152 article EN cc-by Frontiers in Neuroscience 2012-01-01

Functional homotopy, the high degree of synchrony in spontaneous activity between geometrically corresponding interhemispheric (i.e., homotopic) regions, is a fundamental characteristic intrinsic functional architecture brain. However, despite its prominence, lifespan development homotopic resting-state connectivity (RSFC) human brain rarely directly examined magnetic resonance imaging studies. Here, we systematically investigated age-related changes RSFC 214 healthy individuals ranging age...

10.1523/jneurosci.2612-10.2010 article EN cc-by-nc-sa Journal of Neuroscience 2010-11-10

The second iteration of the Autism Brain Imaging Data Exchange (ABIDE II) aims to enhance scope brain connectomics research in Spectrum Disorder (ASD). Consistent with initial ABIDE effort I), that released 1112 datasets 2012, this new multisite open-data resource is an aggregate resting state functional magnetic resonance imaging (MRI) and corresponding structural MRI phenotypic datasets. II includes from additional 487 individuals ASD 557 controls previously collected across 16...

10.1038/sdata.2017.10 article EN cc-by Scientific Data 2017-03-13

Human cerebral development is remarkably protracted. Although microstructural processes of neuronal maturation remain accessible only to morphometric post-mortem studies, neuroimaging tools permit the examination macrostructural aspects brain development. The analysis resting-state functional connectivity (FC) offers novel possibilities for investigation Using seed-based FC methods, we examined 5 functionally distinct cingulate-based intrinsic networks (ICNs) in children (n = 14, 10.6 ± 1.5...

10.1093/cercor/bhn117 article EN Cerebral Cortex 2008-07-24

In recent years, there has been growing enthusiasm that functional MRI could achieve clinical utility for a broad range of neuropsychiatric disorders. However, several barriers remain. For example, the acquisition large-scale datasets capable clarifying marked heterogeneity exists in psychiatric illnesses will need to be realized. addition, continues development image processing and analysis methods separating signal from artifact. As prototypical hyperkinetic disorder, movement related...

10.3389/fnsys.2012.00080 article EN cc-by Frontiers in Systems Neuroscience 2013-01-01

Neuroimaging studies show structural differences in both cortical and subcortical brain regions children adults with autism spectrum disorder (ASD) compared healthy subjects. Findings are inconsistent, however, it is unclear how develop across the lifespan. The authors investigated morphometry between individuals ASD subjects, cross-sectionally lifespan, a large multinational sample from Enhancing Genetics Through Meta-Analysis (ENIGMA) working group.The comprised 1,571 patients 1,651...

10.1176/appi.ajp.2017.17010100 article EN American Journal of Psychiatry 2017-11-17

Abstract Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability reliably characterize inter-individual differences in human brain function. Although a growing number of connectomics-based measures reported have moderate high test-retest reliability, variability data acquisition, experimental designs, and analytic methods precludes generalize results. The Consortium for Reliability Reproducibility (CoRR) is working address this challenge establish...

10.1038/sdata.2014.49 article EN cc-by Scientific Data 2014-12-08

One paradox of autism is the co-occurrence deficits in sensory and higher-order socio-cognitive processing. Here, we examined whether these phenotypical patterns may relate to an overarching system-level imbalance-specifically a disruption macroscale hierarchy affecting integration segregation unimodal transmodal networks. Combining connectome gradient stepwise connectivity analysis based on task-free functional magnetic resonance imaging (fMRI), demonstrated atypical transitions between...

10.1038/s41467-019-08944-1 article EN cc-by Nature Communications 2019-03-04
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