2023 - Research.com Best Scientist Award
2023 - Research.com Neuroscience in United States Leader Award
2022 - Research.com Best Scientist Award
2014 - Kavli Prize, The Kavli Foundation for the discovery of specialized brain networks for memory and cognition
2013 - Perl-UNC Prize, University of North Carolina at Chapel Hill Discoveries Relating to the Default Mode Network of Brain Function.
2010 - Metlife Foundation Award for Medical Research in Alzheimer's Disease
2008 - Ralph W. Gerard Prize in Neuroscience, Society for Neuroscience
2001 - Grawemeyer Award in Psychology, University of Louisville
1999 - Robert J. and Claire Pasarow Foundation Medical Research Award
1998 - Fellow of the American Academy of Arts and Sciences
1998 - Karl Spencer Lashley Award, The American Philosophical Society Jointly, for their pioneering contributions to brain imaging
1996 - Fellow of the American Association for the Advancement of Science (AAAS)
1996 - Member of the National Academy of Sciences
1992 - Member of the National Academy of Medicine (NAM)
Marcus E. Raichle mainly focuses on Neuroscience, Brain mapping, Resting state fMRI, Human brain and Cerebral blood flow. His study in Default mode network, Functional magnetic resonance imaging, Brain activity and meditation, Task-positive network and Prefrontal cortex falls within the category of Neuroscience. His Brain mapping research is multidisciplinary, relying on both Neurophysiology, Nerve net, Anterior cingulate cortex, Wakefulness and Cortex.
His Resting state fMRI study combines topics in areas such as Blood-oxygen-level dependent, Functional neuroimaging, Precuneus and Biochemistry. His Human brain research includes themes of Neuroimaging, Energy metabolism, Premovement neuronal activity and Electroencephalography. His Cerebral blood flow research includes elements of Cerebrum, Blood flow, Positron emission tomography, Nuclear medicine and Ischemia.
Marcus E. Raichle spends much of his time researching Neuroscience, Cerebral blood flow, Positron emission tomography, Human brain and Resting state fMRI. His work in Brain mapping, Functional magnetic resonance imaging, Default mode network, Neuroimaging and Cerebral cortex is related to Neuroscience. His biological study spans a wide range of topics, including Brain activity and meditation, Task-positive network, Premovement neuronal activity and Cortex.
His studies in Cerebral blood flow integrate themes in fields like Hemodynamics and Blood flow. His Positron emission tomography study integrates concerns from other disciplines, such as Tomography, Magnetic resonance imaging and Biomedical engineering. As part of his studies on Resting state fMRI, Marcus E. Raichle frequently links adjacent subjects like Functional connectivity.
Marcus E. Raichle mainly investigates Neuroscience, Resting state fMRI, Human brain, Functional magnetic resonance imaging and Neuroimaging. His study involves Brain mapping, Default mode network, Cognition, Cortex and Functional connectivity, a branch of Neuroscience. His biological study focuses on Task-positive network.
His Resting state fMRI study combines topics from a wide range of disciplines, such as Intrinsic activity, Nerve net, Posterior parietal cortex and Electroencephalography. His work carried out in the field of Human brain brings together such families of science as Cerebellum, Cerebral cortex, Oxidative phosphorylation, Anaerobic glycolysis and Positron emission tomography. His Functional magnetic resonance imaging study incorporates themes from Parietal lobe, Brain activity and meditation, Electrophysiology and Visual cortex.
His main research concerns Neuroscience, Resting state fMRI, Brain mapping, Functional magnetic resonance imaging and Cognition. His study in Human brain, Default mode network, Electroencephalography, Wakefulness and Cortex is carried out as part of his Neuroscience studies. His research integrates issues of Nerve net, Intrinsic activity, Magnetic resonance imaging, Dementia and Brain activity and meditation in his study of Resting state fMRI.
His Brain mapping research integrates issues from Morning, Memory consolidation, Memoria, Neuroimaging and Local field potential. His research in the fields of Resting state functional magnetic resonance imaging overlaps with other disciplines such as Trait. His Cognition research is multidisciplinary, incorporating elements of Developmental psychology, Human gut, Gut flora and Systems neuroscience.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A default mode of brain function.
Marcus E. Raichle;Ann Mary MacLeod;Abraham Z. Snyder;William J. Powers.
Proceedings of the National Academy of Sciences of the United States of America (2001)
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Michael D. Fox;Abraham Z. Snyder;Justin L. Vincent;Maurizio Corbetta.
Proceedings of the National Academy of Sciences of the United States of America (2005)
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging.
Michael D. Fox;Marcus E. Raichle.
Nature Reviews Neuroscience (2007)
Searching for a baseline: Functional imaging and the resting human brain
Debra A. Gusnard;Marcus E. Raichle.
Nature Reviews Neuroscience (2001)
Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function
Debra A. Gusnard;Erbil Akbudak;Gordon L. Shulman;Marcus E. Raichle.
Proceedings of the National Academy of Sciences of the United States of America (2001)
Subgenual prefrontal cortex abnormalities in mood disorders
Wayne C. Drevets;Joseph L. Price;Joseph R. Simpson;Richard D. Todd.
Nature (1997)
Positron emission tomographic studies of the cortical anatomy of single-word processing
Steven E. Petersen;P. T. Fox;Michael I. Posner;M. Mintun.
Nature (1988)
Images of mind
Michael I. Posner;Marcus E. Raichle.
(1994)
Focal physiological uncoupling of cerebral blood flow and oxidative metabolism during somatosensory stimulation in human subjects.
Peter T. Fox;Marcus E. Raichle.
Proceedings of the National Academy of Sciences of the United States of America (1986)
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)
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