摘要 Prior work has shown that there is substantial in

本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。

原文連結

• SFI 頁面
• DOI

論文資訊

• 類型：已發表論文
• 日期：2022-08-08

摘要

Prior work has shown that there is substantial interindividual variation in the spatial distribution of functional 網絡s across the cerebral cortex, or functional topography. However, it remains unknown whether there are sex differences in the topography of individualized 網絡s in youth. Here, we leveraged an advanced 機器學習 method (sparsity-regularized non-negative matrix factorization) to define individualized functional 網絡s in 693 youth (ages 8 to 23 y) who underwent functional MRI as part of the Philadelphia Neurodevelopmental Cohort. Multivariate pattern analysis using support vector machines classified participant sex based on functional topography with 82.9% accuracy (P < 0.0001). 大腦 regions most effective in classifying participant sex belonged to association 網絡s, including the ventral a

※ 此為已發表論文，全文需透過期刊付費取得