Mental Health Center and Laboratory of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Wuhou District, Chengdu, China.
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19, Xinjiekouwai Street, Haidian District, Beijing, China.
Cereb Cortex. 2024 Jul 3;34(7). doi: 10.1093/cercor/bhae305.
Major depressive disorder frequently leads to cognitive impairments, significantly affecting patients' quality of life. However, the neurobiological mechanisms underlying cognitive deficits remain unclear. This study aimed to explore multimodal imaging biomarkers associated with cognitive function in major depressive disorder. Five cognitive scores (sustained attention, visual recognition memory, pattern recognition memory, executive function, and working memory) were used as references to guide the fusion of gray matter volume and amplitude of the low frequency fluctuation. Social function was assessed after 2 yr. Linear regression analysis was performed to identify brain features that were associated with social function of patients with major depressive disorder. Finally, we included 131 major depressive disorder and 145 healthy controls. A multimodal frontal-insula-occipital network associated with sustained attention was found to be associated with social functioning in major depressive disorders. Analysis across different cognitive domains revealed that gray matter volume exhibited greater sensitivity to differences, while amplitude of the low frequency fluctuation consistently decreased in the right temporal-occipital-hippocampus circuit. The consistent functional changes across the 5 cognitive domains were related to symptom severity. Overall, these findings provide insights into biomarkers associated with multiple cognitive domains in major depressive disorder. These results may contribute to the development of effective treatment targeting cognitive deficits and social function.
重度抑郁症常导致认知障碍,显著影响患者的生活质量。然而,认知缺陷的神经生物学机制仍不清楚。本研究旨在探讨与重度抑郁症认知功能相关的多模态影像学生物标志物。五个认知评分(持续注意力、视觉识别记忆、模式识别记忆、执行功能和工作记忆)被用作参考,以指导灰质体积和低频振幅的融合。在 2 年后评估社会功能。进行线性回归分析以识别与重度抑郁症患者社会功能相关的大脑特征。最终,我们纳入了 131 名重度抑郁症患者和 145 名健康对照者。发现与持续注意力相关的多模态额-岛-枕网络与重度抑郁症患者的社会功能有关。跨不同认知领域的分析表明,灰质体积对差异的敏感性更高,而右侧颞叶-枕叶-海马回回路的低频振幅持续降低。与症状严重程度相关的是 5 个认知领域的一致功能变化。总之,这些发现为重度抑郁症中与多个认知领域相关的生物标志物提供了新的认识。这些结果可能有助于开发针对认知缺陷和社会功能的有效治疗方法。