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Abstract #2098

Transcriptional signatures relevance of cortical morphometric similarity network in infants with external hydrocephalus and motor impairment

Yuxin Sun1,2,3, Yidan Yin1,2,3, Huifang Zhao1,2,3, and Chao Jin1,2,3
1Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China, 2Shaanxi Engineering Research Center of Computational Imaging and Medical Intelligence, Xi'an, China, 3Xi’an Key Laboratory of Medical Computational Imaging, Xi'an, China

Synopsis

Keywords: Neuro, Pediatric, infants; motor impairment; External hydrocephalus; Morphometric Similarity; transcriptomic approaches

Motivation: External hydrocephalus (EH) has been linked with motor impairment(MI) in 9.2% of cases. However, due to the natural developmental widening of the subarachnoid space in healthy infants, distinguishing pathological EH from benign conditions remains clinically challenging.

Goal(s): To improve differentiation between pathological and benign EH, facilitating earlier intervention in at-risk infants.

Approach: This study integrates morphometric similarity networks with transcriptomic data to explore structural and molecular alterations in infants with EH-related MI.

Results: We identified significant regional morphometric differences and synaptic signaling pathway enrichment, suggesting their involvement in the pathogenesis of EH-related MI.

Impact: Integrating neuroimaging and transcriptomics enhances understanding of EH-related MI pathogenesis, revealing potential imaging biomarkers for early diagnosis and novel targets for therapeutic intervention.

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