Abstract #3456

Robustness of Local Connectome Fingerprint Explored: Using a Multi-center and Multi-vendor Study

Vincent Kyu Lee^1,2, Ashok Panigrahy^1,2, Vincent J. Schmithorst^1,2, Thomas Chenevert³, Borjan Gagoski⁴, Deqiang Qiu⁵, Peter S. LaViolette⁶, Jeffrey I. Berman⁷, Timothy D. Verstynen⁸, and Fang-Cheng Yeh⁹

¹Radiology, University of Pittsburgh, Pittsburgh, PA, United States, ²Radiology, Children's Hospital of Pittsburgh UPMC, Pittsburgh, PA, United States, ³Radiology, University of Michigan, Ann Arbor, MI, United States, ⁴Radiology, Boston Children’s Hospital, Boston, MA, United States, ⁵Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, ⁶Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, ⁷Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, ⁸Psychology, Carnegie Mellon University, Pittsburgh, PA, United States, ⁹Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, United States

In this study we explore whether scanner-related-variabilities contribute to an individual’s distinct fingerprint – and whether the fingerprint specificity would be robust as a biomarker by scanning the same subject across multiple vendors and multiple scanner in four institutions. Both Diffusion Tensor Imaging and Multi-shell Multi-band diffusion imaging (MSMBDI) was tested, and differences within acquisition type (using fractional anisotropy and normalized quantitative anisotropy) and between acquisition types comparisons (using q-space diffeomorphic reconstruction) analysis were examined. We found that scanner may contribute partly to the fingerprint patter, but the fingerprint was robust at maintaining pattern, especially in MSMBDI to warrant further studies.

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