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Abstract #4689

Multi-modal characterization of white matter for studying language and hand motor function

Yuichi Suzuki1, Kouhei Kamiya1, Minoru Mitsuda1, Akira Kunimatsu1, Masaaki Hori2, Harushi Mori1, Katusya Maruyama3, Kenji Ino1, Yasushi Watanabe1, Jiro Sato1, Shigeki Aoki2, Keiichi Yano1, and Osamu Abe1

1Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan, 2Radiology, Juntendo University School of Medicine, Tokyo, Japan, 3Siemens Japan K.K., Tokyo, Japan

We present a preliminary experience of a fiber g-ratio technique using a combination (MT_sat and NODDI) in multi-modal characterization of the white matter bundles relevant to language and hand motor function. Tract-specific analyses of the pyramidal tract, accurate fasciculus, and frontal aslant tract were performed using the tractography as volume of interest. The fiber g-ratio, MVF, AVF, and FA were measured, and differences between the the hemispheres and among the bundles were tested. This study suggested we can be more sensitive to the lateralities of these bundles by combining myelin imaging and diffusion.

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