Bergamino Maurizio, Kuplicki Rayus, Victor Teresa A, Cha Yoon-Hee, Paulus Martin P
Laureate Institute for Brain Research, Tulsa, Oklahoma.
University of California, Los Angeles, California.
Hum Brain Mapp. 2017 Sep;38(9):4690-4702. doi: 10.1002/hbm.23694. Epub 2017 Jun 20.
Diffusion tensor imaging (DTI) has often been used to examine white matter (WM) tract abnormalities in depressed subjects, but these studies have yielded inconsistent results, probably, due to gender composition or small sample size. In this study, we applied different analysis pipelines to a relatively large sample of individuals with depression to determine whether previous findings in depression can be replicated with these pipelines. We used a "standard" DTI algorithm and maps computed through a free-water (FW) corrected DTI. This latter algorithm is able to identify and separate the effects of extracellular FW on DTI metrics. Additionally, skeletonized and WM voxel-based analysis (VBA) methods were used. Using the skeletonized method, DTI maps showed lower fractional anisotropy (FA) in depressed subjects in the left brain hemisphere, including the anterior thalamic radiation (ATR L), cortical spinal tract (CST L), inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, and superior longitudinal fasciculus (SLF L). Differences in radial diffusivity (RD) were also found. For the VBA using RD, we found different results when we used FW uncorrected and corrected DTI metrics. Relative to the VBA approach, the skeletonized analysis was able to identify more clusters where WM integrity was altered in depressed individuals. Different significant correlations were found between RD and the Patient Health Questionnaire in the CST L, and SLF L. In conclusion, the skeletonized method revealed more clusters than the VBA and individuals with depression showed multiple WM abnormalities, some of which were correlated with disease severity Hum Brain Mapp 38:4690-4702, 2017. © 2017 Wiley Periodicals, Inc.
扩散张量成像(DTI)常被用于检查抑郁症患者的白质(WM)束异常,但这些研究结果并不一致,可能是由于性别构成或样本量较小。在本研究中,我们将不同的分析流程应用于一个相对较大的抑郁症患者样本,以确定抑郁症先前的研究结果能否通过这些流程得到重复验证。我们使用了一种“标准”DTI算法以及通过自由水(FW)校正的DTI计算得出的图谱。后一种算法能够识别并分离细胞外FW对DTI指标的影响。此外,还使用了基于骨架化和WM体素的分析(VBA)方法。使用骨架化方法时,DTI图谱显示抑郁症患者左脑半球的分数各向异性(FA)较低,包括丘脑前辐射(ATR L)、皮质脊髓束(CST L)、额枕下束、下纵束和上纵束(SLF L)。还发现了径向扩散率(RD)的差异。对于使用RD的VBA,当我们使用未校正和校正的FW DTI指标时,得到了不同的结果。相对于VBA方法,骨架化分析能够识别出更多抑郁症患者WM完整性发生改变的簇。在CST L和SLF L中,RD与患者健康问卷之间发现了不同的显著相关性。总之,骨架化方法比VBA揭示出更多的簇,且抑郁症患者表现出多种WM异常,其中一些与疾病严重程度相关。《人类大脑图谱》38:4690 - 4702,2017年。© 2017威利期刊公司。