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Babatunde Adeyemo

Showing results (11-20 of 58) with videos related to

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Tremor and Other Hyperkinetic Movements (New York, N.Y.)|August 4, 2025
Thalamic and Visual Network Dysfunction Relates to Tremor Response in Thalamic Deep Brain StimulationAimee E Morris, Babatunde Adeyemo, Meghan C Campbell, et al.
Neuroimage|September 20, 2016
Individual-specific features of brain systems identified with resting state functional correlationsEvan M Gordon, Timothy O Laumann, Babatunde Adeyemo, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Deep-learning based Embedding of Functional Connectivity Profiles for Precision Functional MappingJiaxin Cindy Tu, Jung-Hoon Kim, Patrick Luckett, et al.
Brain Connectivity|August 30, 2016
Evaluation of Denoising Strategies to Address Motion-Correlated Artifacts in Resting-State Functional Magnetic Resonance Imaging Data from the Human Connectome ProjectGregory C Burgess, Sridhar Kandala, Dan Nolan, et al.
Imaging Neuroscience (Cambridge, Mass.)|September 8, 2025
Deep learning-based embedding of functional connectivity profiles for precision functional mappingJiaxin Cindy Tu, Jung-Hoon Kim, Chenyan Lu, et al.
Molecular Autism|October 21, 2020
Brain function distinguishes female carriers and non-carriers of familial risk for autismAdam T Eggebrecht, Ally Dworetsky, Zoë Hawks, et al.
Nature Neuroscience|April 30, 2024
Two common and distinct forms of variation in human functional brain networksAlly Dworetsky, Benjamin A Seitzman, Babatunde Adeyemo, et al.
Human Brain Mapping|September 26, 2018
Reward-related regions form a preferentially coupled system at restJeremy F Huckins, Babatunde Adeyemo, Fran M Miezin, et al.
Developmental Science|February 3, 2016
Multivariate pattern classification of pediatric Tourette syndrome using functional connectivity MRIDeanna J Greene, Jessica A Church, Nico U F Dosenbach, et al.
Network Neuroscience (Cambridge, Mass.)|October 2, 2024
Network-level enrichment provides a framework for biological interpretation of machine learning resultsJiaqi Li, Ari Segel, Xinyang Feng, et al.
Pageof 6

Showing results (11-20 of 58) with videos related to

Sort By:
Pageof 6
Tremor and Other Hyperkinetic Movements (New York, N.Y.)|August 4, 2025
Thalamic and Visual Network Dysfunction Relates to Tremor Response in Thalamic Deep Brain StimulationAimee E Morris, Babatunde Adeyemo, Meghan C Campbell, et al.
Neuroimage|September 20, 2016
Individual-specific features of brain systems identified with resting state functional correlationsEvan M Gordon, Timothy O Laumann, Babatunde Adeyemo, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Deep-learning based Embedding of Functional Connectivity Profiles for Precision Functional MappingJiaxin Cindy Tu, Jung-Hoon Kim, Patrick Luckett, et al.
Brain Connectivity|August 30, 2016
Evaluation of Denoising Strategies to Address Motion-Correlated Artifacts in Resting-State Functional Magnetic Resonance Imaging Data from the Human Connectome ProjectGregory C Burgess, Sridhar Kandala, Dan Nolan, et al.
Imaging Neuroscience (Cambridge, Mass.)|September 8, 2025
Deep learning-based embedding of functional connectivity profiles for precision functional mappingJiaxin Cindy Tu, Jung-Hoon Kim, Chenyan Lu, et al.
Molecular Autism|October 21, 2020
Brain function distinguishes female carriers and non-carriers of familial risk for autismAdam T Eggebrecht, Ally Dworetsky, Zoë Hawks, et al.
Nature Neuroscience|April 30, 2024
Two common and distinct forms of variation in human functional brain networksAlly Dworetsky, Benjamin A Seitzman, Babatunde Adeyemo, et al.
Human Brain Mapping|September 26, 2018
Reward-related regions form a preferentially coupled system at restJeremy F Huckins, Babatunde Adeyemo, Fran M Miezin, et al.
Developmental Science|February 3, 2016
Multivariate pattern classification of pediatric Tourette syndrome using functional connectivity MRIDeanna J Greene, Jessica A Church, Nico U F Dosenbach, et al.
Network Neuroscience (Cambridge, Mass.)|October 2, 2024
Network-level enrichment provides a framework for biological interpretation of machine learning resultsJiaqi Li, Ari Segel, Xinyang Feng, et al.
Pageof 6