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  1. No Access

    Article

    Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification

    Functional connectivity networks, derived from resting-state fMRI data, have been found as effective biomarkers for identifying mild cognitive impairment (MCI) from healthy elderly. However, the traditional fu...

    Yang Li, **gyu Liu, Ziwen Peng, Can Sheng, Minjeong Kim, Pew-Thian Yap… in Neuroinformatics (2020)

  2. No Access

    Article

    Cortical thickness and surface area in neonates at high risk for schizophrenia

    Schizophrenia is a neurodevelopmental disorder associated with subtle abnormal cortical thickness and cortical surface area. However, it is unclear whether these abnormalities exist in neonates associated wit...

    Gang Li, Li Wang, Feng Shi, Amanda E. Lyall, Mihye Ahn… in Brain Structure and Function (2016)

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    Article

    Disrupted cortical network as a vulnerability marker for obsessive–compulsive disorder

    Morphological alterations of brain structure are generally assumed to be involved in the pathophysiology of obsessive–compulsive disorder (OCD). Yet, little is known about the morphological connectivity proper...

    Ziwen Peng, Feng Shi, Changzheng Shi, Qiong Yang… in Brain Structure and Function (2014)

  4. No Access

    Article

    Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification

    Brain connectivity network derived from functional magnetic resonance imaging (fMRI) is becoming increasingly prevalent in the researches related to cognitive and perceptual processes. The capability to detect...

    Yang Li, Chong-Yaw Wee, Biao Jie, Ziwen Peng, Dinggang Shen in Neuroinformatics (2014)