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Using topological brain networks and machine learning algorithms, our research outcomes could contribute to the advancement of SAD diagnostic biomarker development. The findings indicate that utilizing a blend of graph theory features and PDC values could be a useful technique for the identification of SAD. Our findings may illuminate novel avenues for biomarker development in SAD diagnosis, leveraging topological br
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