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Abstract #0171

Improving the inter-subject reproducibility of diffusion MRI connectivity analysis by controlling the bundle reliability of individual streamlines at the group-level connectome.

Brian H. Silverstein1, Eishi Asano2,3, Yasuo Nakai4, Ayaka Sugiura2, Min-Hee Lee2, and Jeong-Won Jeong2,3

1Translational Neuroscience Program, Wayne State University, Detroit, MI, United States, 2Department of Pediatrics, Wayne State University, Detroit, MI, United States, 3Department of Neurology, Wayne State University, Detroit, MI, United States, 4Department of Neurological Surgery, Wakayama Medical University, Wakayama, Japan

Identifying true positives from diffusion weighted imaging (DWI)-based tractography is not trivial, and no universal gold standard has yet been developed. In this study, we introduce a method which utilizes the group-level streamline pathway distribution to determine inter-subject reproducibility of streamline bundles. At the participant level, streamlines that do not correspond to reproducible bundles are removed, resulting in improved reproducibility and increased fidelity when identifying differences between pathways. Additionally, we utilized electrical stimulation-based cortico-cortical evoked potentials to assess how well reliable bundles reflect underlying connectivity. Cleaned structural connectivity data was found to better correlate with electrophysiological connectivity.

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