著者

Ken Kozuma Taishiro Chikamori Jun Hashimoto Junko Honye Takanori Ikeda Sugao Ishiwata Mamoru Kato Hiroshi Kondo Kosuke Matsubara Kazuma Matsumoto Naoya Matsumoto Sadako Motoyama Kotaro Obunai Hajime Sakamoto Kyoko Soejima Shigeru Suzuki Koichiro Abe Hideo Amano Hirofumi Hioki Takashi Iimori Hideki Kawai Hisanori Kosuge Tatsuya Nakama Yasuyuki Suzuki Kazuya Takeda Akiko Ueda Takashi Yamashita Kenzo Hirao Takeshi Kimura Ryozo Nagai Masato Nakamura Wataru Shimizu Nagara Tamaki on behalf of the Japanese Circulation Society Joint Working Group

出版者

The Japanese Circulation Society

雑誌

Circulation Journal (ISSN:13469843)

巻号頁・発行日

pp.CJ-21-0379, (Released:2022-04-22)

参考文献数

230

被引用文献数

8

著者

Masami Goto Osamu Abe Akifumi Hagiwara Shohei Fujita Koji Kamagata Masaaki Hori Shigeki Aoki Takahiro Osada Seiki Konishi Yoshitaka Masutani Hajime Sakamoto Yasuaki Sakano Shinsuke Kyogoku Hiroyuki Daida

出版者

Japanese Society for Magnetic Resonance in Medicine

雑誌

Magnetic Resonance in Medical Sciences (ISSN:13473182)

巻号頁・発行日

pp.rev.2021-0096, (Released:2022-02-18)

参考文献数

106

被引用文献数

31

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Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical morphology, such as volume, thickness, area, and gyrification, whereas voxel-based morphometry (VBM) is a typical method of gray matter (GM) volumetry that includes cortex measurement. In cases where SBM is used to estimate cortical morphology, it remains controversial as to whether VBM should be used in addition to estimate GM volume. Therefore, this review has two main goals. First, we summarize the differences between the two methods regarding preprocessing, statistical analysis, and reliability. Second, we review studies that estimate cortical morphological changes using VBM and/or SBM and discuss whether using VBM in conjunction with SBM produces additional values. We found cases in which detection of morphological change in either VBM or SBM was superior, and others that showed equivalent performance between the two methods. Therefore, we concluded that using VBM and SBM together can help researchers and clinicians obtain a better understanding of normal neurobiological processes of the brain. Moreover, the use of both methods may improve the accuracy of the detection of morphological changes when comparing the data of patients and controls.In addition, we introduce two other recent methods as future directions for estimating cortical morphological changes: a multi-modal parcellation method using structural and functional images, and a synthetic segmentation method using multi-contrast images (such as T1- and proton density-weighted images).