2013 - E. Mead Johnson Award, Society for Pediatric Research
Member of the Association of American Physicians
His scientific interests lie mostly in Neuroscience, Brain mapping, Resting state fMRI, Artificial intelligence and Cognition. His research ties Complex system and Neuroscience together. His study in Brain mapping is interdisciplinary in nature, drawing from both Frontal lobe, Connectome, Neuroimaging, Cortex and Human brain.
His Resting state fMRI research includes elements of Motion, Functional magnetic resonance imaging and Functional connectivity. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition. His research in the fields of Developmental cognitive neuroscience overlaps with other disciplines such as Correlation.
His primary areas of study are Neuroscience, Resting state fMRI, Brain mapping, Cognition and Neuroimaging. Functional connectivity, Default mode network, Functional magnetic resonance imaging, Human brain and Cerebral cortex are the primary areas of interest in his Neuroscience study. His work on Task-positive network as part of general Default mode network research is often related to Standby power, thus linking different fields of science.
Bradley L. Schlaggar has included themes like Cerebellum, Stimulus, Artificial intelligence and Brain organization in his Resting state fMRI study. The concepts of his Brain mapping study are interwoven with issues in Frontal lobe, Nerve net and Functional brain. His work in Cognition covers topics such as Audiology which are related to areas like Language development.
Bradley L. Schlaggar mainly investigates Neuroscience, Default mode network, Tics, Functional connectivity and Resting state fMRI. His Cerebral cortex study, which is part of a larger body of work in Neuroscience, is frequently linked to Repetition, bridging the gap between disciplines. Bradley L. Schlaggar combines subjects such as Anterior cingulate cortex, Insula, Control network and Posterior parietal cortex with his study of Default mode network.
His studies in Functional connectivity integrate themes in fields like Joint attention, Functional magnetic resonance imaging, Functional brain and Clinical psychology. Bradley L. Schlaggar has researched Functional brain in several fields, including Functional variation, Brain mapping, Evolutionary biology and Brain organization. His research in Resting state fMRI tackles topics such as Cerebellum which are related to areas like Neuroplasticity, Human brain, Amplitude of low frequency fluctuations and Supplementary motor area.
Bradley L. Schlaggar mainly focuses on Resting state fMRI, Functional connectivity, Neuroscience, Pediatrics and Autism. The various areas that he examines in his Functional connectivity study include Functional magnetic resonance imaging, Functional brain and Control subjects. His research on Neuroscience frequently links to adjacent areas such as Set.
The Pediatrics study which covers Anxiety disorder that intersects with Phonic Tic and Tourette syndrome. His Autism research is multidisciplinary, incorporating elements of Provisional tic disorder, Tic disorder, Anxiety, Pathophysiology and Severity of illness. His Default mode network research incorporates elements of Repetitive behavior, Autism spectrum disorder, Audiology, Construct validity and Brain mapping.
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Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion
Jonathan D. Power;Kelly Anne Barnes;Abraham Z. Snyder;Bradley L. Schlaggar.
NeuroImage (2012)
Functional network organization of the human brain
Jonathan D. Power;Alexander L. Cohen;Steven M. Nelson;Gagan S. Wig.
Neuron (2011)
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)
Distinct brain networks for adaptive and stable task control in humans
Nico U. F. Dosenbach;Damien A. Fair;Francis M. Miezin;Alexander L. Cohen.
Proceedings of the National Academy of Sciences of the United States of America (2007)
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Jonathan D. Power;Anish Mitra;Timothy O. Laumann;Abraham Z. Snyder.
NeuroImage (2014)
Prediction of Individual Brain Maturity Using fMRI
Nico U.F. Dosenbach;Binyam Nardos;Alexander L. Cohen;Damien A. Fair.
Science (2010)
The Human Connectome Project: A data acquisition perspective
D. C. Van Essen;Kamil Ugurbil;Edward J Auerbach.
NeuroImage (2012)
A dual-networks architecture of top-down control.
Nico U.F. Dosenbach;Damien A. Fair;Alexander L. Cohen;Bradley L. Schlaggar.
Trends in Cognitive Sciences (2008)
A Core System for the Implementation of Task Sets
Nico U.F. Dosenbach;Kristina M. Visscher;Erica D. Palmer;Francis M. Miezin.
Neuron (2006)
Functional brain networks develop from a "local to distributed" organization
Damien A. Fair;Alexander L. Cohen;Jonathan D. Power;Nico U. F. Dosenbach.
PLOS Computational Biology (2009)
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