カミヤ　コウヘイ   Kamiya Kohei   神谷　昂平    所属   東邦大学  医学部 医学科（大森病院）    職種   講師
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Connectome analysis with diffusion MRI in idiopathic Parkinson's disease: Evaluation using multi-shell, multi-tissue, constrained spherical deconvolution.
掲載誌名	正式名：NeuroImage. Clinical ISSNコード：22131582
出版社	ELSEVIER SCI LTD
巻・号・頁	17,pp.518-529
著者・共著者	Koji Kamagata,Andrew Zalesky,Taku Hatano,Maria Angelique Di Biase,Omar El Samad,Shinji Saiki,Keigo Shimoji,Kanako K Kumamaru,Kouhei Kamiya,Masaaki Hori,Nobutaka Hattori,Shigeki Aoki,Christos Pantelis
発行年月	2017/11/10
概要	Parkinson's disease (PD) is a progressive neurodegenerative disorder that affects extensive regions of the central nervous system. In this work, we evaluated the structural connectome of patients with PD, as mapped by diffusion-weighted MRI tractography and a multi-shell, multi-tissue (MSMT) constrained spherical deconvolution (CSD) method to increase the precision of tractography at tissue interfaces. The connectome was mapped with probabilistic MSMT-CSD in 21 patients with PD and in 21 age- and gender-matched controls. Mapping was also performed by deterministic single-shell, single tissue (SSST)-CSD tracking and probabilistic SSST-CSD tracking for comparison. A support vector machine was trained to predict diagnosis based on a linear combination of graph metrics. We showed that probabilistic MSMT-CSD could detect significantly reduced global strength, efficiency, clustering, and small-worldness, and increased global path length in patients with PD relative to healthy controls; by contrast, probabilistic SSST-CSD only detected the difference in global strength and small-worldness. In patients with PD, probabilistic MSMT-CSD also detected a significant reduction in local efficienc
DOI	10.1016/j.nicl.2017.11.007
PMID	29201640