L
Lubin Wang
Researcher at National University of Defense Technology
Publications - 36
Citations - 2262
Lubin Wang is an academic researcher from National University of Defense Technology. The author has contributed to research in topics: Resting state fMRI & Default mode network. The author has an hindex of 18, co-authored 31 publications receiving 1940 citations.
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Journal ArticleDOI
Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis
Ling-Li Zeng,Hui Shen,Li Liu,Lubin Wang,Baojuan Li,Peng Fang,Zongtan Zhou,Yaming Li,Dewen Hu +8 more
TL;DR: The majority of the most discriminating functional connections were located within or across the default mode network, affective network, visual cortical areas and cerebellum, thereby indicating that the disease-related resting-state network alterations may give rise to a portion of the complex of emotional and cognitive disturbances in major depression.
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Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI.
TL;DR: It is demonstrated that machine learning could extract exciting new information from the resting-state activity of a brain with schizophrenia, which might have potential ability to improve current diagnosis and treatment evaluation of schizophrenia.
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A Treatment-Resistant Default Mode Subnetwork in Major Depression
TL;DR: A dissociation of the DMN into subnetworks is suggested, where persistent abnormal functional connectivity within the anterior subnetwork in recovered MDD subjects may constitute a biomarker of asymptomatic depression and potential for relapse.
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Combined structural and resting-state functional MRI analysis of sexual dimorphism in the young adult human brain: an MVPA approach.
TL;DR: The results suggest that sex is an important factor that account for interindividual variability in the healthy brain and the role of anatomy on functional sex differences during rest is assessed.
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Decoding lifespan changes of the human brain using resting-state functional connectivity MRI.
TL;DR: This study aimed to decode the developmental dynamics of the whole-brain functional network in seven decades of the human lifespan using resting-state functional connectivity MRI, and found that age-related changes in interregional functional connectivity exhibited spatially and temporally specific patterns.