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Kwangsun Yoo

Showing results (21-30 of 51) with videos related to

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Frontiers in Aging Neuroscience|June 25, 2015
Non-monotonic reorganization of brain networks with Alzheimer's disease progressionHyoungKyu Kim, Kwangsun Yoo, Duk L Na, et al.
Neuroimage|May 1, 2019
Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviorsKwangsun Yoo, Monica D Rosenberg, Stephanie Noble, et al.
Journal of Neurophysiology|October 27, 2017
Momentary level of slow default mode network activity is associated with distinct propagation and connectivity patterns in the anesthetized mouse cortexMinseok Kang, Young-Beom Lee, Bakul Gohel, et al.
Frontiers in Neuroscience|September 1, 2015
Influence of ROI selection on resting state functional connectivity: an individualized approach for resting state fMRI analysisWilliam S Sohn, Kwangsun Yoo, Young-Beom Lee, et al.
Frontiers in Aging Neuroscience|May 1, 2018
Resting-State Functional Connectivity Predicts Cognitive Impairment Related to Alzheimer's DiseaseQi Lin, Monica D Rosenberg, Kwangsun Yoo, et al.
Alzheimer Disease and Associated Disorders|February 4, 2016
Default Mode Network Functional Connectivity in Early and Late Mild Cognitive Impairment: Results From the Alzheimer's Disease Neuroimaging InitiativeEek-Sung Lee, Kwangsun Yoo, Young-Beom Lee, et al.
Free Radical Biology & Medicine|January 9, 2022
Enhanced defense against ferroptosis ameliorates cognitive impairment and reduces neurodegeneration in 5xFAD miceLiuji Chen, Nawab John Dar, Ren Na, et al.
Neuroimage|May 16, 2022
A cognitive state transformation model for task-general and task-specific subsystems of the brain connectomeKwangsun Yoo, Monica D Rosenberg, Young Hye Kwon, et al.
NPJ Parkinson'S Disease|April 23, 2022
Antagonistic network signature of motor function in Parkinson's disease revealed by connectome-based predictive modelingXuyang Wang, Kwangsun Yoo, Huafu Chen, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
High performers demonstrate greater neural synchrony than low performers across behavioral domainsTaylor A Chamberlain, Anna Corriveau, Hayoung Song, et al.
Pageof 6

Showing results (21-30 of 51) with videos related to

Sort By:
Pageof 6
Frontiers in Aging Neuroscience|June 25, 2015
Non-monotonic reorganization of brain networks with Alzheimer's disease progressionHyoungKyu Kim, Kwangsun Yoo, Duk L Na, et al.
Neuroimage|May 1, 2019
Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviorsKwangsun Yoo, Monica D Rosenberg, Stephanie Noble, et al.
Journal of Neurophysiology|October 27, 2017
Momentary level of slow default mode network activity is associated with distinct propagation and connectivity patterns in the anesthetized mouse cortexMinseok Kang, Young-Beom Lee, Bakul Gohel, et al.
Frontiers in Neuroscience|September 1, 2015
Influence of ROI selection on resting state functional connectivity: an individualized approach for resting state fMRI analysisWilliam S Sohn, Kwangsun Yoo, Young-Beom Lee, et al.
Frontiers in Aging Neuroscience|May 1, 2018
Resting-State Functional Connectivity Predicts Cognitive Impairment Related to Alzheimer's DiseaseQi Lin, Monica D Rosenberg, Kwangsun Yoo, et al.
Alzheimer Disease and Associated Disorders|February 4, 2016
Default Mode Network Functional Connectivity in Early and Late Mild Cognitive Impairment: Results From the Alzheimer's Disease Neuroimaging InitiativeEek-Sung Lee, Kwangsun Yoo, Young-Beom Lee, et al.
Free Radical Biology & Medicine|January 9, 2022
Enhanced defense against ferroptosis ameliorates cognitive impairment and reduces neurodegeneration in 5xFAD miceLiuji Chen, Nawab John Dar, Ren Na, et al.
Neuroimage|May 16, 2022
A cognitive state transformation model for task-general and task-specific subsystems of the brain connectomeKwangsun Yoo, Monica D Rosenberg, Young Hye Kwon, et al.
NPJ Parkinson'S Disease|April 23, 2022
Antagonistic network signature of motor function in Parkinson's disease revealed by connectome-based predictive modelingXuyang Wang, Kwangsun Yoo, Huafu Chen, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
High performers demonstrate greater neural synchrony than low performers across behavioral domainsTaylor A Chamberlain, Anna Corriveau, Hayoung Song, et al.
Pageof 6