Michael P. Milham

ORCID: 0000-0003-3532-1210
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About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Mental Health Research Topics
  • EEG and Brain-Computer Interfaces
  • Attention Deficit Hyperactivity Disorder
  • Neural and Behavioral Psychology Studies
  • Health, Environment, Cognitive Aging
  • Child and Adolescent Psychosocial and Emotional Development
  • Autism Spectrum Disorder Research
  • Mind wandering and attention
  • Neonatal and fetal brain pathology
  • Memory and Neural Mechanisms
  • Digital Mental Health Interventions
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Child Development and Digital Technology
  • Health disparities and outcomes
  • Genetics and Neurodevelopmental Disorders
  • Cognitive Abilities and Testing
  • Dementia and Cognitive Impairment Research
  • Scientific Computing and Data Management
  • Transcranial Magnetic Stimulation Studies
  • Meta-analysis and systematic reviews
  • COVID-19 and Mental Health

Child Mind Institute
2016-2025

Nathan Kline Institute for Psychiatric Research
2016-2025

Stavros
2024

Kaiser Permanente
2023

Stavros Niarchos Foundation
2022-2023

Brain (Germany)
2021-2023

International Neuromodulation Society
2021

Institut des Sciences Cognitives Marc Jeannerod
2021

Czech Academy of Sciences, Institute of Psychology
2021

Lifespan
2021

Although it is being successfully implemented for exploration of the genome, discovery science has eluded functional neuroimaging community. The core challenge remains development common paradigms interrogating myriad systems in brain without constraints a priori hypotheses. Resting-state MRI (R-fMRI) constitutes candidate approach capable addressing this challenge. Imaging during rest reveals large-amplitude spontaneous low-frequency (<0.1 Hz) fluctuations fMRI signal that are temporally...

10.1073/pnas.0911855107 article EN Proceedings of the National Academy of Sciences 2010-02-23

The default mode network (DMN), based in ventromedial prefrontal cortex (vmPFC) and posterior cingulate (PCC), exhibits higher metabolic activity at rest than during performance of externally oriented cognitive tasks. Recent studies have suggested that competitive relationships between the DMN various task-positive networks involved task are intrinsically represented brain form strong negative correlations (anticorrelations) spontaneous fluctuations these networks. Most neuroimaging...

10.1002/hbm.20531 article EN Human Brain Mapping 2008-01-24

The network architecture of functional connectivity within the human brain connectome is poorly understood at voxel level. Here, using resting state magnetic resonance imaging data from 1003 healthy adults, we investigate a broad array centrality measures to provide novel insights into whole-brain (i.e., connectome). We first assemble and visualize voxel-wise (4 mm) as network. then demonstrate that each measure captures different aspects connectivity, highlighting importance considering...

10.1093/cercor/bhr269 article EN Cerebral Cortex 2011-10-02

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

Evidence from macaque monkey tracing studies suggests connectivity-based subdivisions within the precuneus, offering predictions for similar in human. Here we present functional connectivity analyses of this region using resting-state MRI data collected both humans and monkeys. Three distinct patterns were demonstrated precuneus species, with each subdivision suggesting a discrete role: ( i ) anterior functionally connected superior parietal cortex, paracentral lobule, motor sensorimotor...

10.1073/pnas.0905314106 article EN Proceedings of the National Academy of Sciences 2009-11-11

Recent years have witnessed an upsurge in the usage of resting-state functional magnetic resonance imaging (fMRI) to examine connectivity (fcMRI), both normal and pathological populations. Despite this increasing popularity, concerns about psychologically unconstrained nature “resting-state” remain. Across studies, patterns detected are remarkably consistent. However, test–retest reliability for measures resting state fcMRI has not been determined. Here, we quantify reliability, using scans...

10.1093/cercor/bhn256 article EN Cerebral Cortex 2009-02-16

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
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