Yu-Feng Zang

Affiliations: 
State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, China, Beijing, Beijing Shi, China 
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"Yu-Feng Zang"
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Publications

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Jing Y, Zhao N, Deng XP, et al. (2020) Pregenual or subgenual anterior cingulate cortex as potential effective region for brain stimulation of depression. Brain and Behavior. e01591
Wang B, Wang J, Cen Z, et al. (2020) Altered Cerebello-Motor Network in Familial Cortical Myoclonic Tremor With Epilepsy Type 1. Movement Disorders : Official Journal of the Movement Disorder Society
Jia XZ, Sun JW, Ji GJ, et al. (2020) Percent amplitude of fluctuation: A simple measure for resting-state fMRI signal at single voxel level. Plos One. 15: e0227021
Karunakaran KD, Yuan R, He J, et al. (2020) Resting-State Functional Connectivity of the Thalamus in Complete Spinal Cord Injury. Neurorehabilitation and Neural Repair. 1545968319893299
Wang J, Meng HJ, Ji GJ, et al. (2019) Finger Tapping Task Activation vs. TMS Hotspot: Different Locations and Networks. Brain Topography
Zhou ZW, Lan XQ, Fang YT, et al. (2019) The Inter-Regional Connectivity Within the Default Mode Network During the Attentional Processes of Internal Focus and External Focus: An fMRI Study of Continuous Finger Force Feedback. Frontiers in Psychology. 10: 2198
Zhou ZW, Fang YT, Lan XQ, et al. (2019) Inconsistency in Abnormal Functional Connectivity Across Datasets of ADHD-200 in Children With Attention Deficit Hyperactivity Disorder. Frontiers in Psychiatry. 10: 692
Jiao F, Gao Z, Shi K, et al. (2019) Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the Elderly. Frontiers in Neurology. 10: 566
Wu ZM, Llera A, Hoogman M, et al. (2019) Linked anatomical and functional brain alterations in children with attention-deficit/hyperactivity disorder. Neuroimage. Clinical. 23: 101851
Yan CG, Chen X, Li L, et al. (2019) Reduced default mode network functional connectivity in patients with recurrent major depressive disorder. Proceedings of the National Academy of Sciences of the United States of America
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