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Article
Open AccessImpacts of the psychological stress response on nonsuicidal self-injury behavior in students during the COVID-19 epidemic in China: the mediating role of sleep disorders
The sudden outbreak of COVID-19 had a great impact on the physical and mental health of people all over the world, especially for students whose physical and mental development was not yet mature. In order to ...
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Chapter and Conference Paper
Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences
Graph convolutional network (GCN) has shown its potential on modeling functional MRI connectivity and recognizing neurological disease tasks. However, conventional GCN layers generally inherit the original gra...
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Chapter and Conference Paper
Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder
Hereditary mental illness (e.g., obsessive-compulsive disorder (OCD)) shall reduce the quality of daily life of patients. To detect OCD objectively, sparse learning is an effective method for constructing a brain...
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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...
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Article
Open AccessAn Effect of Chronic Stress on Prospective Memory via Alteration of Resting-State Hippocampal Subregion Functional Connectivity
The alteration of hippocampal function by chronic stress impairs higher order cognitive functions such as prospective memory (PM). However, how chronic stress affects hippocampal subregions related to PM remai...
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Article
Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning
The functional brain network has gained increased attention in the neuroscience community because of its ability to reveal the underlying architecture of human brain. In general, majority work of functional ne...
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Chapter and Conference Paper
OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning
Obsessive-compulsive disorder (OCD) is a serious mental illness that affects the overall quality of patients’ daily life. Since sparse learning can remove redundant information in resting-state functional magn...
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Chapter and Conference Paper
Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network
Recent development of neuroimaging and network science allow us to visualize and characterize the whole brain connectivity map in vivo. As the importance of volumetric image atlas, a common brain connectivity ma...
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Chapter and Conference Paper
Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening
The compulsive urges to perform stereotyped behaviors are typical symptoms of obsessive-compulsive disorder (OCD). OCD has certain hereditary tendencies and the direct OCD relatives (i.e., sibling (Sib)) have ...
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Chapter and Conference Paper
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph
The functional connectome has gained increased attention in the neuroscience community. In general, most network connectivity models are based on correlations between discrete-time series signals that only con...
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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...
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Article
Open AccessPsychometric properties of the Chinese version of the Obsessive Beliefs Questionnaire-44 (OBQ-44)
The Obsessive Beliefs Questionnaire-44 (OBQ-44) is originally developed by the Obsessive Compulsive Cognitions Working Group and has been translated into several languages. This paper is aimed to investigate t...
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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...
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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...
