2022 - Research.com Rising Star of Science Award
Neuroscience, Resting state fMRI, Brain mapping, Functional connectivity and Functional brain are his primary areas of study. His research related to Human brain, Functional magnetic resonance imaging, Cognition, Connectome and Cerebral cortex might be considered part of Neuroscience. His Human brain research incorporates themes from Functional networks and Task-positive network.
In his articles, Timothy O. Laumann combines various disciplines, including Resting state fMRI and Correlation. His Functional connectivity research includes themes of Voxel and Cortical surface. His biological study spans a wide range of topics, including Motion and Artifact.
The scientist’s investigation covers issues in Neuroscience, Resting state fMRI, Functional connectivity, Functional magnetic resonance imaging and Human brain. His is doing research in Cerebral cortex, Cognition, Default mode network, Connectome and Task-positive network, both of which are found in Neuroscience. His Resting state fMRI study combines topics from a wide range of disciplines, such as Artificial intelligence, Artifact, Human Connectome Project and Brain mapping.
Timothy O. Laumann combines subjects such as Voxel and Nerve net with his study of Brain mapping. The concepts of his Functional magnetic resonance imaging study are interwoven with issues in Similarity, Electrophysiology and Dimensionality reduction. His Human brain research is multidisciplinary, incorporating perspectives in Functional networks, Bioinformatics and Brain organization.
His primary scientific interests are in Neuroscience, Artificial intelligence, Cognition, Default mode network and Computer vision. Neuroscience is a component of his Resting state fMRI and Cerebral cortex studies. His Artificial intelligence study integrates concerns from other disciplines, such as Diffusion MRI, Diffusion imaging and Pattern recognition.
His study in Cognition is interdisciplinary in nature, drawing from both Neural activity and Human brain. His research in Default mode network focuses on subjects like Anterior cingulate cortex, which are connected to Salience, Somatosensory system and Functional connectivity. His Motion estimation, Filter and Motion study in the realm of Computer vision interacts with subjects such as Head and Band-stop filter.
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Functional network organization of the human brain
Jonathan D. Power;Alexander L. Cohen;Steven M. Nelson;Gagan S. Wig.
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Jonathan D. Power;Anish Mitra;Timothy O. Laumann;Abraham Z. Snyder.
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
Alexander Schaefer;Ru Kong;Evan M Gordon;Timothy O Laumann.
Cerebral Cortex (2018)
Resting-state fMRI in the Human Connectome Project
S M Smith;C F Beckmann;J Andersson;E J Auerbach.
Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations
Evan M. Gordon;Timothy O. Laumann;Babatunde Adeyemo;Jeremy F. Huckins.
Cerebral Cortex (2016)
Precision Functional Mapping of Individual Human Brains
Evan M. Gordon;Timothy O. Laumann;Adrian W. Gilmore;Adrian W. Gilmore;Dillan J. Newbold.
Functional System and Areal Organization of a Highly Sampled Individual Human Brain.
Timothy O. Laumann;Evan M. Gordon;Babatunde Adeyemo;Abraham Z. Snyder.
Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation
Caterina Gratton;Timothy O. Laumann;Ashley N. Nielsen;Deanna J. Greene.
Informatics and data mining tools and strategies for the human connectome project.
Daniel S. Marcus;John W. Harwell;Timothy R. Olsen;Michael R. Hodge.
Frontiers in Neuroinformatics (2011)
On the Stability of BOLD fMRI Correlations
Timothy O. Laumann;Abraham Z. Snyder;Anish Mitra;Evan M. Gordon.
Cerebral Cortex (2016)
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