White matter integrity in schizophrenia and bipolar disorder: Tract- and voxel-based analyses of diffusion data from the Connectom scanner
White matter integrity in schizophrenia and bipolar disorder: Tract- and voxel-based analyses of diffusion data from the Connectom scanner
复制标题
DOI：
10.1016/j.nicl.2018.101649
复制
发表时间：
2019-01-01
影响因子：
4.2
通讯作者：
Shimony, Joshua S.
中科院分区：
文献类型：
--
作者：
Mamah, Daniel;Ji, Andrew;Shimony, Joshua S.
背景：弥散成像异常与精神分裂症（SZ）和双相情感障碍（BD）有关，表明结构连接受损。较新的方法允许在每个个体的原生空间中从弥散加权MR图像中自动重建主要白质束。利用SZ和BP受试者的高清弥散数据，我们采用基于神经束和体素的自动方法研究了脑白质完整性。方法：采用与NIH （Young-Adult）人类连接组项目相匹配的方案（并在相同的定制“连接组”扫描仪上收集），共获得87名参与者（18-30岁）的扩散扫描，分为SZ (n = 24), BD （n = 33）和健康对照组（n = 30）。采用TRACULA软件对18条脑白质道的分数各向异性（FA）进行分析。利用基于图的空间统计（TBSS）软件对扩散数据进行体素统计分析。采用方差分析和多元回归分析TRACULA组疗效及临床相关性。结果：TRACULA分析发现SZ患者有下道FA的趋势，最明显的是左丘脑前区放射（ATR; p = 0.04）。TBSS结果显示，与对照组相比，SZ患者的双侧小脑内FA体素和单侧左侧ATR、丘脑后辐射、皮质脊髓束和上纵束内FA体素显著降低（FDR校正p < 0.05）。与使用TRACULA或TBSS的对照组相比，BD患者的FA没有显著差异。多元回归显示ATR FA可预测慢性躁狂（p = 0.0005），扣带-角束可预测近期躁狂（p = 0.02）。TBSS显示慢性躁狂症与左ATR和胼胝体内FA体素相关。结论：SZ白质异常在不同白质束区域的严重程度不同。我们的研究结果表明，在识别此类异常时，基于体素的扩散数据分析比基于通道的分析更敏感。双相障碍无白质异常可能与药物作用和年龄有关。
Background: Diffusion imaging abnormalities have been associated with schizophrenia (SZ) and bipolar disorder (BD), indicating impaired structural connectivity. Newer methods permit the automated reconstruction of major white matter tracts from diffusion-weighted MR images in each individual's native space. Using high-definition diffusion data from SZ and BP subjects, we investigated brain white matter integrity using both an automated tract-based and voxel-based methods.Methods: Using a protocol matched to the NIH (Young-Adult) Human Connectome Project (and collected on the same customized 'Connectom' scanner), diffusion scans were acquired from 87 total participants (aged 18-30), grouped as SZ (n = 24), BD (n = 33) and healthy controls (n = 30). Fractional anisotropy (FA) of eighteen white matter tracks were analyzed using the TRACULA software. Voxel-wise statistical analyses of diffusion data was carried out using the tract-based spatial statistics (TBSS) software. TRACULA group effects and clinical correlations were investigated using analyses of variance and multiple regression.Results: TRACULA analysis identified a trend towards lower tract FA in SZ patients, most significantly in the left anterior thalamic radiation (ATR; p = .04). TBSS results showed significantly lower FA voxels bilaterally within the cerebellum and unilaterally within the left ATR, posterior thalamic radiation, corticospinal tract, and superior longitudinal fasciculus in SZ patients compared to controls (FDR corrected p < .05). FA in BD patients did not significantly differ from controls using either TRACULA or TBSS. Multiple regression showed FA of the ATR as predicting chronic mania (p = .0005) and the cingulum-angular bundle as predicting recent mania (p = .02) in patients. TBSS showed chronic mania correlating with FA voxels within the left ATR and corpus callosum.Conclusions: White matter abnormality in SZ varies in severity across different white matter tract regions. Our results indicate that voxel-based analysis of diffusion data is more sensitive than tract-based analysis in identifying such abnormalities. Absence of white matter abnormality in BD may be related to medication effects and age.