Advantages of Using Both Voxel- and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications
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- Goto Masami
- Department of Radiological Technology, Faculty of Health Science, Juntendo University
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- Abe Osamu
- Department of Radiology, Graduate School of Medicine, The University of Tokyo
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- Hagiwara Akifumi
- Department of Radiology, Juntendo University School of Medicine
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- Fujita Shohei
- Department of Radiology, Graduate School of Medicine, The University of Tokyo Department of Radiology, Juntendo University School of Medicine
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- Kamagata Koji
- Department of Radiology, Juntendo University School of Medicine
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- Hori Masaaki
- Department of Radiology, Juntendo University School of Medicine Department of Radiology, Toho University Omori Medical Center
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- Aoki Shigeki
- Department of Radiology, Juntendo University School of Medicine
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- Osada Takahiro
- Department of Neurophysiology, Juntendo University School of Medicine
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- Konishi Seiki
- Department of Neurophysiology, Juntendo University School of Medicine
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- Masutani Yoshitaka
- Graduate School of Information Sciences, Hiroshima City University
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- Sakamoto Hajime
- Department of Radiological Technology, Faculty of Health Science, Juntendo University
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- Sakano Yasuaki
- Department of Radiological Technology, Faculty of Health Science, Juntendo University
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- Kyogoku Shinsuke
- Department of Radiological Technology, Faculty of Health Science, Juntendo University
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- Daida Hiroyuki
- Department of Radiological Technology, Faculty of Health Science, Juntendo University
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説明
<p>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.</p><p>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).</p>
収録刊行物
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- Magnetic Resonance in Medical Sciences
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Magnetic Resonance in Medical Sciences 21 (1), 41-57, 2022
日本磁気共鳴医学会
