Kitamura Hideaki, Matsuzawa Hitoshi, Shioiri Toshiki, Someya Toshiyuki, Kwee Ingrid L, Nakada Tsutomu
Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, 1 Asahimachi, Niigata 951-8585, Japan.
Eur Arch Psychiatry Clin Neurosci. 2005 Oct;255(5):313-8. doi: 10.1007/s00406-005-0564-z. Epub 2005 Jan 14.
The objective of this study was to delineate further the nature of diffusion anisotropy abnormalities in frontal white matter previously observed in schizophrenic patients using a high-field magnetic resonance imaging (MRI) system. Six schizophrenia patients and six healthy control subjects were examined using a highfield MRI (3.0T) system. In order to confirm previously reported abnormalities in anisotropy, data were first analyzed to determine fractional anisotropy (FA), a frequently utilized general index of anisotropy. Subsequently, the identical data set was subjected to lambda chart analysis (LCA), a newly developed algorithm for diffusion tensor analysis (DTA) that more effectively provides eigenvalue information. Frontal white matter FA was found to be significantly reduced in schizophrenic patients compared to control subjects, confirming previously reported findings. LCA revealed that the decline in FA was due to a disproportionate increase in small eigenvalue components, and not due to a decline in principal eigenvalue components.
本研究的目的是利用高场磁共振成像(MRI)系统,进一步描绘先前在精神分裂症患者额叶白质中观察到的扩散各向异性异常的性质。使用高场MRI(3.0T)系统对6名精神分裂症患者和6名健康对照者进行了检查。为了确认先前报道的各向异性异常,首先对数据进行分析以确定分数各向异性(FA),这是一种常用的各向异性通用指标。随后,对相同的数据集进行λ图分析(LCA),这是一种新开发的扩散张量分析(DTA)算法,能更有效地提供特征值信息。与对照者相比,发现精神分裂症患者的额叶白质FA显著降低,证实了先前报道的结果。LCA显示,FA的下降是由于小特征值成分不成比例地增加,而不是由于主特征值成分的下降。