Xunheng Wang

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PURPOSE Investigating the discriminative brain map for patients with attention-deficit/hyperactivity disorder (ADHD) based on feature selection and classifier; and identifying patients with ADHD based on the discriminative model. MATERIALS AND METHODS A dataset of resting state fMRI contains 23 patients with ADHD and 23 healthy subjects were analyzed.(More)
Signal variation in diffusion-weighted images (DWIs) is influenced both by thermal noise and by spatially and temporally varying artifacts, such as rigid-body motion and cardiac pulsation. Motion artifacts are particularly prevalent when scanning difficult patient populations, such as human infants. Although some motion during data acquisition can be(More)
Previous studies had reported that volume differences of gray matter (GM) in subcortical regions of the human brain were mainly caused by gender. Meanwhile, other studies had found that the distribution of GM in the human brain varied based on individual brain sizes. Main effects of volume differences of GM in subcortical regions remain unclear. Therefore,(More)
Granger causality model (GCM) derived from multivariate vector autoregressive models of data has been employed to identify effective connectivity in the human brain with functional magnetic resonance imaging (fMRI) and to reveal complex temporal and spatial dynamics underlying a variety of cognitive processes. In the most recent fMRI effective connectivity(More)
In this paper we present a model based method for fast face orientation estimation and pose recovery from a monocular image sequence captured by an uncalibrated camera. To accomplish this method, CANDIDE-3 model is used to construct 3D individual face model manually. Four facial feature points (outer corners of eyes and mouth) are tracked by SIFT algorithm.(More)
Minimal hepatic encephalopathy (MHE) is a common neurocognitive complication of liver cirrhosis, which have few recognizable clinical symptoms. Previous functional magnetic resonance imaging (fMRI) studies have found that widespread cortical and subcortical functional connectivity (FC) changes were significantly in patients with MHE. The goals of this study(More)
OBJECTIVE To investigate the functional connectivity (FC) impairments within anterior and posterior default mode networks (aDMN and pDMN) for cirrhosis with minimal hepatic encephalopathy (MHE), and to analyze relationship between DMNs alterations with neurocognitive impairments. METHODS From March 2009 to December 2011, a total of 43 cirrhotic patients(More)
Locally linear embedding is often invalid for sparse data sets because locally linear embedding simply takes the reconstruction weights obtained from the data space as the weights of the embedding space. This paper proposes an improved local linear embedding for sparse data sets. In the proposed method, the neighborhood correlation matrix presenting the(More)
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