Abstract #3224

Test-retest reliability of graph theoretic metrics in adolescent brains

Justin P. Yuan¹, Eva Henje Blom², Trevor Flynn¹, Yiran Chen¹, Tiffany C. Ho³, Colm G. Connolly⁴, Rebecca A. Dumont Walter¹, Tony T. Yang⁵, Duan Xu¹, and Olga Tymofiyeva¹

¹Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, ²Department of Clinical Science Child and Adolescent Psychiatry, Umeå University, Umeå, Sweden, ³Department of Psychology, Stanford University, Stanford, CA, United States, ⁴Department of Biomedical Sciences, Florida State University, Tallahassee, FL, United States, ⁵Department of Psychiatry, University of California San Francisco, San Francisco, CA, United States

Graph theory analysis of structural brain networks derived from diffusion tensor imaging (DTI) has been utilized to study neurological and psychiatric disorders but its reliability remains understudied, especially in the still-developing brain. Repeated DTI scans of adolescents were acquired to assess the test-retest reliability of different weighting schemes of brain networks: fractional anisotropy (FA), streamline count (SC), and binary (B). The test-retest scans were performed at two time intervals: 12 weeks apart and within the same scan session, approximately 30 minutes apart. Results suggest that FA-weighting outperforms the other schemes.

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