Abstract #3494

High resolution tract density tract-based spatial statistics and automating fiber-tract quantification analysis in patients suffering from major depressive disorder

Stefan Sommer^1,2, Nadja Doerig^3,4, Janis Brakowski², Martin grosse Holtforth⁵, Sebastian Kozerke¹, Erich Seifritz^2,4, Simona Spinelli^2,4, and Philipp Stämpfli²

¹Institute for Biomedical Engineering, ETH and University of Zurich, Zurich, Switzerland, ²Department of Psychiatry, Psychotherapy and Psychosomatics Psychiatric Hospital, University of Zurich, Zurich, Switzerland, ³Division Neuropsychology, Departement of Psychology, University of Zurich, Zurich, Switzerland, ⁴Neuroscience Center, University and ETH Zurich, Zurich, Switzerland, ⁵Department of Psychology, University of Bern, Bern, Switzerland

In the last few years, tract base spatial statistics (TBSS) and automating fiber-tract quantification (AFQ) have become prominent tools for analyzing diffusion data in group studies. In this study, we introduce optimized high-resolution tract density (optTD) images and analyze these maps using TBSS and AFQ in patients with major depressive disorders. We show a higher sensitivity in the newly introduced optTD compared to traditional FA analyses. Significant group differences were found using both methods indicating robust findings. High resolution optTD maps derived from optimized tractograms provide a promising tool for investigating white-matter abnormalities in mental disorders.

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