Kamiya Kouhei, Okada Naohiro, Sawada Kingo, Watanabe Yusuke, Irie Ryusuke, Hanaoka Shouhei, Suzuki Yuichi, Koike Shinsuke, Mori Harushi, Kunimatsu Akira, Hori Masaaki, Aoki Shigeki, Kasai Kiyoto, Abe Osamu
Department of Radiology, The University of Tokyo, Tokyo, Japan.
Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.
NMR Biomed. 2018 Jul;31(7):e3938. doi: 10.1002/nbm.3938. Epub 2018 May 30.
Major depressive disorder (MDD) is a globally prevalent psychiatric disorder that results from disruption of multiple neural circuits involved in emotional regulation. Although previous studies using diffusion tensor imaging (DTI) found smaller values of fractional anisotropy (FA) in the white matter, predominantly in the frontal lobe, of patients with MDD, studies using diffusion kurtosis imaging (DKI) are scarce. Here, we used DKI whole-brain analysis with tract-based spatial statistics (TBSS) to investigate the brain microstructural abnormalities in MDD. Twenty-six patients with MDD and 42 age- and sex-matched control subjects were enrolled. To investigate the microstructural pathology underlying the observations in DKI, a compartment model analysis was conducted focusing on the corpus callosum. In TBSS, the patients with MDD showed significantly smaller values of FA in the genu and frontal portion of the body of the corpus callosum. The patients also had smaller values of mean kurtosis (MK) and radial kurtosis (RK), but MK and RK abnormalities were distributed more widely compared with FA, predominantly in the frontal lobe but also in the parietal, occipital, and temporal lobes. Within the callosum, the regions with smaller MK and RK were located more posteriorly than the region with smaller FA. Model analysis suggested significantly smaller values of intra-neurite signal fraction in the body of the callosum and greater fiber dispersion in the genu, which were compatible with the existing literature of white matter pathology in MDD. Our results show that DKI is capable of demonstrating microstructural alterations in the brains of patients with MDD that cannot be fully depicted by conventional DTI. Though the issues of model validation and parameter estimation still remain, it is suggested that diffusion MRI combined with a biophysical model is a promising approach for investigation of the pathophysiology of MDD.
重度抑郁症(MDD)是一种全球普遍存在的精神疾病,由参与情绪调节的多个神经回路紊乱所致。尽管先前使用扩散张量成像(DTI)的研究发现MDD患者白质中的各向异性分数(FA)值较小,主要在额叶,但使用扩散峰度成像(DKI)的研究却很少。在此,我们使用基于纤维束的空间统计学(TBSS)进行DKI全脑分析,以研究MDD患者的脑微结构异常。招募了26例MDD患者和42例年龄及性别匹配的对照受试者。为了研究DKI观察结果背后的微结构病理学,针对胼胝体进行了隔室模型分析。在TBSS中,MDD患者胼胝体膝部和体部额叶部分的FA值显著较小。患者的平均峰度(MK)和径向峰度(RK)值也较小,但与FA相比,MK和RK异常分布更广泛,主要在额叶,也在顶叶、枕叶和颞叶。在胼胝体内,MK和RK较小的区域比FA较小的区域更靠后。模型分析表明,胼胝体中神经突内信号分数的值显著较小,膝部纤维分散更大,这与MDD白质病理学的现有文献相符。我们的结果表明,DKI能够显示MDD患者大脑中的微结构改变,而传统DTI无法完全描绘这些改变。尽管模型验证和参数估计问题仍然存在,但建议扩散磁共振成像结合生物物理模型是研究MDD病理生理学的一种有前景的方法。