National Clinical Research Center for Mental Disorders, and Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Department of Psychiatry, Brain Hospital of Hunan Province (The Second People's Hospital of Hunan Province), Changsha, China.
Hum Brain Mapp. 2023 Feb 1;44(2):304-314. doi: 10.1002/hbm.26020. Epub 2022 Jul 15.
Methamphetamine use disorder (MUD) has been associated with broad neurocognitive impairments. While the cognitive impairments of MUD have been demonstrated, the neuropathological underpinnings remain inadequately understood. To date, the published human diffusion tensor imaging (DTI) studies involving the correlation between diffusion parameters and neurocognitive function in MUD are limited. Hence, the present study aimed to examine the association between cognitive performance and white matter microstructure in patients with MUD. Forty-five patients with MUD and 43 healthy controls (HCs) completed their demographic information collection, cognitive assessments, and DTI imaging. DTI images were preprocessed to extract fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of various fiber tracts. Univariate tests were used to examine group differences in cognitive assessments and DTI metrics. Linear regression was used to examine the relationship between these two metrics. The results revealed that patients with MUD had lower subset scores of the MATRICS Consensus Cognitive Battery (MCCB), which reflects five cognitive domains: processing speed, attention, verbal learning, visual learning, problem-solving. Patients with MUD also had significantly higher AD, MD, and RD values of the left superior longitudinal fasciculus than HCs. Furthermore, the RD value of the left superior longitudinal fasciculus was a significant predictor of processing speed and problem-solving ability, as shown by the digit-symbol coding test and NAB-Mazes scores, respectively. Findings extended our understanding of white matter microstructure that is related to neurocognitive deficits in MUD and provided potential targets for the prevention and treatment of this chronic disorder.
甲基苯丙胺使用障碍(MUD)与广泛的神经认知障碍有关。虽然已经证明了 MUD 的认知障碍,但神经病理学基础仍了解不足。迄今为止,涉及 MUD 中扩散参数与神经认知功能相关性的已发表人类扩散张量成像(DTI)研究有限。因此,本研究旨在探讨 MUD 患者的认知表现与白质微观结构之间的关联。45 名 MUD 患者和 43 名健康对照者(HCs)完成了人口统计学信息收集、认知评估和 DTI 成像。对 DTI 图像进行预处理以提取各纤维束的分数各向异性(FA)、平均扩散系数(MD)、轴向扩散系数(AD)和径向扩散系数(RD)。单变量检验用于检查认知评估和 DTI 指标的组间差异。线性回归用于检查这两个指标之间的关系。结果显示,MUD 患者的 MATRICS 共识认知电池(MCCB)子量表得分较低,反映了五个认知领域:处理速度、注意力、词语学习、视觉学习、解决问题。与 HCs 相比,MUD 患者的左侧上纵束的 AD、MD 和 RD 值也明显更高。此外,左侧上纵束的 RD 值是处理速度和解决问题能力的显著预测因子,分别由数字符号编码测试和 NAB-Mazes 分数表示。研究结果扩展了我们对白质微观结构的理解,该结构与 MUD 中的神经认知缺陷有关,并为这种慢性疾病的预防和治疗提供了潜在目标。