Michael P. Milham focuses on Neuroscience, Neuroimaging, Resting state fMRI, Brain mapping and Functional magnetic resonance imaging. All of his Neuroscience and Default mode network, Cognition, Human brain, Prefrontal cortex and Insula investigations are sub-components of the entire Neuroscience study. His work carried out in the field of Neuroimaging brings together such families of science as Young adult, Functional connectivity and Set.
His research in Resting state fMRI intersects with topics in Connectome, Regression, Amplitude of low frequency fluctuations and Voxel, Artificial intelligence. His Connectome research is multidisciplinary, incorporating elements of Sample size determination and Bioinformatics. His Brain mapping research incorporates elements of Striatum, Nerve net, Reliability, Autism and Basal ganglia.
The scientist’s investigation covers issues in Neuroscience, Resting state fMRI, Neuroimaging, Functional magnetic resonance imaging and Artificial intelligence. Brain mapping, Default mode network, Connectome, Cognition and Cortex are the primary areas of interest in his Neuroscience study. His study on Resting state fMRI also encompasses disciplines like
His work in Neuroimaging tackles topics such as Data science which are related to areas like Open science. His research integrates issues of Anterior cingulate cortex, Prefrontal cortex, Human brain and Clinical psychology, Attention deficit hyperactivity disorder in his study of Functional magnetic resonance imaging. While the research belongs to areas of Artificial intelligence, Michael P. Milham spends his time largely on the problem of Reliability, intersecting his research to questions surrounding Reproducibility.
Neuroimaging, Artificial intelligence, Reliability, Mental health and Autism are his primary areas of study. His work deals with themes such as Resting state fMRI, Brain network and Data science, which intersect with Neuroimaging. His research investigates the connection between Resting state fMRI and topics such as Intelligence quotient that intersect with problems in Selective attention.
The Artificial intelligence study combines topics in areas such as Connectomics, Predictive validity, Reproducibility, Machine learning and Pattern recognition. His Autism research is multidisciplinary, relying on both Multivariate analysis, Simulation and Neuroscience. As a part of the same scientific study, Michael P. Milham usually deals with the Default mode network, concentrating on Angular gyrus and frequently concerns with Connectome.
His primary areas of investigation include Neuroimaging, Artificial intelligence, Magnetic resonance imaging, Mental health and Rating scale. His Neuroimaging research is multidisciplinary, incorporating perspectives in Cognitive psychology, Brain network and Data science. Michael P. Milham has researched Cognitive psychology in several fields, including Perspective, Brain mapping and Brain function.
The various areas that Michael P. Milham examines in his Artificial intelligence study include Reliability, Neural correlates of consciousness, Computer vision and Pattern recognition. His Pattern recognition research integrates issues from Cluster analysis, Functional connectivity, Human brain, Reproducibility and Functional neuroimaging. His Mental health study integrates concerns from other disciplines, such as Construct validity, Mood, Psychological resilience and Environmental health.
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Toward discovery science of human brain function
Bharat B. Biswal;Maarten Mennes;Xi Nian Zuo;Suril Gohel.
Proceedings of the National Academy of Sciences of the United States of America (2010)
The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
A Di Martino;C-G Yan;Q Li;E Denio.
Molecular Psychiatry (2014)
Characterizing cognition in ADHD: beyond executive dysfunction.
F. Xavier Castellanos;Edmund J.S. Sonuga-Barke;Michael P. Milham;Rosemary Tannock.
Trends in Cognitive Sciences (2006)
Competition between functional brain networks mediates behavioral variability.
A.M. Clare Kelly;Lucina Q. Uddin;Bharat B. Biswal;F. Xavier Castellanos.
A Comprehensive Assessment of Regional Variation in the Impact of Head Micromovements on Functional Connectomics
Chao-Gan Yan;Brian Cheung;Clare Kelly;Stanley J. Colcombe.
The oscillating brain: complex and reliable.
Xi-Nian Zuo;Adriana Di Martino;Clare Kelly;Zarrar E. Shehzad.
Functional connectivity of default mode network components: correlation, anticorrelation, and causality.
Lucina Q. Uddin;A.M. Clare Kelly;Bharat B. Biswal;F. Xavier Castellanos.
Human Brain Mapping (2009)
Functional Connectivity of Human Striatum: A Resting State fMRI Study
A. Di Martino;A.P.J. Scheres;D.S. Margulies;A.M.C. Kelly.
Cerebral Cortex (2008)
Toward systems neuroscience of ADHD: a meta-analysis of 55 fMRI studies.
Samuele Cortese;Clare Kelly;Camille Chabernaud;Erika Proal.
American Journal of Psychiatry (2012)
Cingulate-Precuneus Interactions : A New Locus of Dysfunction in Adult Attention-Deficit/ Hyperactivity Disorder
F. Xavier Castellanos;F. Xavier Castellanos;Daniel S. Margulies;Clare Kelly;Lucina Q. Uddin.
Biological Psychiatry (2008)
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