Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, Sichuan, PR China.
Academy of Mathematics and Systems Science Chinese, Academy of Science, Beijing, China.
EBioMedicine. 2024 Aug;106:105255. doi: 10.1016/j.ebiom.2024.105255. Epub 2024 Jul 19.
Controllability analysis is an approach developed for evaluating the ability of a brain region to modulate function in other regions, which has been found to be altered in major depressive disorder (MDD). Both depressive symptoms and cognitive impairments are prominent features of MDD, but the case-control differences of controllability between MDD and controls can not fully interpret the contribution of both clinical symptoms and cognition to brain controllability and linked patterns among them in MDD.
Sparse canonical correlation analysis was used to investigate the associations between resting-state functional brain controllability at the network level and clinical symptoms and cognition in 99 first-episode medication-naïve patients with MDD.
Average controllability was significantly correlated with clinical features. The average controllability of the dorsal attention network (DAN) and visual network had the highest correlations with clinical variables. Among clinical variables, depressed mood, suicidal ideation and behaviour, impaired work and activities, and gastrointestinal symptoms were significantly negatively associated with average controllability, and reduced cognitive flexibility was associated with reduced average controllability.
These findings highlight the importance of brain regions in modulating activity across brain networks in MDD, given their associations with symptoms and cognitive impairments observed in our study. Disrupted control of brain reconfiguration of DAN and visual network during their state transitions may represent a core brain mechanism for the behavioural impairments observed in MDD.
National Natural Science Foundation of China (82001795 and 82027808), National Key R&D Program (2022YFC2009900), and Sichuan Science and Technology Program (2024NSFSC0653).
可控性分析是一种用于评估大脑区域调节其他区域功能能力的方法,已发现其在重度抑郁症(MDD)中发生改变。抑郁症状和认知障碍都是 MDD 的突出特征,但 MDD 和对照组之间的可控性病例对照差异并不能完全解释两者的临床症状和认知对大脑可控性的贡献,以及它们之间的关联模式。
稀疏典范相关分析用于研究 99 名首发、未经药物治疗的 MDD 患者静息态功能大脑网络水平的可控性与临床症状和认知之间的关联。
平均可控性与临床特征显著相关。背侧注意网络(DAN)和视觉网络的平均可控性与临床变量的相关性最高。在临床变量中,抑郁情绪、自杀意念和行为、工作和活动受损以及胃肠道症状与平均可控性显著负相关,认知灵活性降低与平均可控性降低相关。
这些发现强调了大脑区域在调节 MDD 中跨大脑网络活动中的重要性,因为它们与我们研究中观察到的症状和认知障碍有关。在它们的状态转换过程中,DAN 和视觉网络的大脑重新配置的控制中断可能代表了 MDD 中观察到的行为障碍的核心大脑机制。
国家自然科学基金(82001795 和 82027808)、国家重点研发计划(2022YFC2009900)和四川省科技计划(2024NSFSC0653)。