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Shiying Wang on Muck Rack

Shiying Wang

As seen in: Color Research & Application, Nature, Wiley Online Library, Annals of the Rheumatic Diseases, MDPI, Taylor & Francis Online, BioRxiv, Genome Research, Scientific Research Publishing (SCIRP), Psiquiatria.com and
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Articles

Shared genetic architecture of reading and attention disorders using genomic structural equation modeling

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By Shiying Wang, Andrew Grotzinger, Jan C. Frijters, Jeffrey R. Gruen, Joan Bosson-Heenan
| Nature Verified
Abstract Reading disorder (RD), characterized by difficulties in reading, is the most common learning disability and frequently co-occurs with attention-deficit/hyperactivity disorder (ADHD), suggesting shared genetic underpinnings. To investigate their genetic overlap, we leveraged summary statistics from large-scale genome-wide association studies (GWASs) of reading assessment scores and ADHD diagnosis using genomic structural equation modeling.
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Stable depression subtypes identified using functional connectome normative deviation models and their response to rTMS

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By Chengfeng Chen, Liyuan Lin, Yuan Liu, Shiying Wang, Jiang Wang, Yufeng Zang, Jijun Wang, Wen Qin, Bin Zhang
| Nature Verified
Abstract The heterogeneity of depression complicates treatment. Identifying stable biological subtypes could advance precision-targeted interventions. This study aims to identify stable depression subtypes using functional connectome normative deviation models and to assess their response to repetitive transcranial magnetic stimulation (rTMS). We analyzed 1204 patients spanning different states of depression, together with 1636 healthy controls.
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Genetically Informed Brain Parcellation Through Structured Multi-Task Modeling

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By Yisha Yao, Yue Hu, Shiying Wang
| Taylor & Francis Online
Abstract The organization of human brain subnetworks is fundamental to understanding cognition and neuropsychiatric health. Existing approaches predominantly construct subnetworks by clustering brain regions according to measured imaging phenotypes or functional correlation.
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