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Shicong Wang

Ministry of Education of the People's Republic of China · CN
Area of research
Pulmonary and Respiratory Medicine · Ocean Engineering
Research interest
Research topics from publications: Dysfunction of the NAc-mPFC circuit in insomnia disorder; Reduced thalamic resting‐state functional connectivity and impaired cognition in acute abstinent heroin users; Lung radiomics features for characterizing and classifying COPD stage based on feature combination strategy and multi-layer perceptron classifier; Reduced midbrain functional connectivity and recovery in abstinent heroin users; Lung Radiomics Features Selection for COPD Stage Classification Based on Auto-Metric Graph Neural Network; Acute exacerbation prediction of COPD based on Auto-metric graph neural network with inspiratory and expiratory chest CT images; Multi‐Layer Perceptron Classifier with the Proposed Combined Feature Vector of 3D CNN Features and Lung Radiomics Features for COPD Stage Classification; Longitudinal resting-state functional connectivity changes in the insular subdivisions of abstinent individuals with opioid use disorder; Abnormal hippocampal substructure volume in insomnia disorder. Representative work: BACKGROUND: Insomnia disorder (ID) is a prevalent sleep disorder, which seriously affects people's daily life and was found to be associated with increased frequency of sleep stage shifts. Previous findings had revealed the critical role of the nucleus accumbens (NAc) in sleep-wake transition. However, the neuroimaging studies of the NAc in patients with ID have been rare. We hypothesized that structural and functional abnormalities of the NAc would be implicated in ID. METHODS: Twenty-six ID patients and 36 matched healthy controls (HC) were included in the current study. The volumes and corresponding resting-state functional connectivity (RSFC) of the bilateral NAc were compared between th As a critical component of cortico-striato-thalamo-cortical loop in addiction, our understanding of the thalamus in impaired cognition of heroin users (HU) has been limited. Due to the complex thalamic connection with cortical and subcortical regions, thalamus was divided into prefrontal (PFC), occipital (OC), premotor, primary motor, sensory, temporal, and posterior parietal association subregions according to white matter tractography. We adopted seven subregions of bilateral thalamus as regions of interest to systematically study the implications of distinct thalamic nuclei in acute abstinent HU. The volume and resting-state functional connecti
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Recent publications

Acute exacerbation prediction of COPD based on Auto-metric graph neural network with inspiratory and expiratory chest CT images
Heliyon 2024cited by 11position: firstdoi
Multi‐Layer Perceptron Classifier with the Proposed Combined Feature Vector of 3D CNN Features and Lung Radiomics Features for COPD Stage Classification
Journal of Healthcare Engineering 2023cited by 11position: middledoi
Lung radiomics features for characterizing and classifying COPD stage based on feature combination strategy and multi-layer perceptron classifier
Mathematical Biosciences & Engineering 2022cited by 26position: middledoi
Lung Radiomics Features Selection for COPD Stage Classification Based on Auto-Metric Graph Neural Network
Diagnostics 2022cited by 20position: middledoi
Longitudinal resting-state functional connectivity changes in the insular subdivisions of abstinent individuals with opioid use disorder
Psychiatry Research 2022cited by 10position: middledoi
Reduced thalamic resting‐state functional connectivity and impaired cognition in acute abstinent heroin users
Human Brain Mapping 2021cited by 31position: middledoi
Reduced midbrain functional connectivity and recovery in abstinent heroin users
Journal of Psychiatric Research 2021cited by 21position: middledoi
Abnormal hippocampal substructure volume in insomnia disorder
Brain Imaging and Behavior 2021cited by 9position: middledoi
Dysfunction of the NAc-mPFC circuit in insomnia disorder
NeuroImage Clinical 2020cited by 41position: middledoi

Grants

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Frequent collaborators

Kai Yuan · Guangzhou University of Chinese Medicine5 papers (2020–2022)Ziqiang Shao · Ministry of Education of the People's Republic of China4 papers (2020–2021)Yan Kang · Ministry of Education of the People's Republic of China4 papers (2022–2024)Xinwen Wen · Ministry of Education of the People's Republic of China4 papers (2020–2021) · 4 papers (2022–2024)Nanrong Zeng · Shenzhen University4 papers (2022–2024)Wei Li · Central University of Finance and Economics4 papers (2022–2024)Min Zhang · South China Agricultural University4 papers (2020–2021)Rongchang Chen · Jinan University4 papers (2022–2024)Yan Xu · University of California System4 papers (2020–2021)Ziran Chen · Wenzhou Medical University4 papers (2022–2024)Yingjian Yang · Shihezi University4 papers (2022–2024)Longmao Chen · Ministry of Education of the People's Republic of China4 papers (2020–2021)Wenxin Duan · Shenzhen University4 papers (2022–2024)Jun Liu · Central South University3 papers (2021–2022) · 3 papers (2021–2022)Huai Chen · Ministry of Education of the People's Republic of China2 papers (2022–2022)Fan Li · Nanchang University2 papers (2021–2022)Fei Tang · University of Electronic Science and Technology of China2 papers (2021–2022)Xian Li · Guangzhou University of Chinese Medicine2 papers (2022–2022)