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Sex differences in structural covariance network based on MRI cortical morphometry: effects on episodic memory

Yajun Shi, Dong Cui, Jinpeng Niu, Xiaotong Zhang, Fengzhu Sun, Haiqin Liu, Ruhai Dou, Jianfeng Qiu, Qing Jiao, Weifang Cao, Guanghui Yu

2023Cerebral Cortex10 citationsDOIOpen Access PDF

Abstract

Sex differences in episodic memory (EM), remembering past events based on when and where they occurred, have been reported, but the neural mechanisms are unclear. T1-weighted images of 111 females and 61 males were acquired from the Dallas Lifespan Brain Study. Using surface-based morphometry and structural covariance (SC) analysis, we constructed structural covariance networks (SCN) based on cortical volume, and the global efficiency (Eglob) was computed to characterize network integration. The relationship between SCN and EM was examined by SC analysis among the top-n brain regions that were most relevant to EM performance. The number of SC connections (females: 3306; males: 437, P = 0.0212) and Eglob (females: 0.1845; males: 0.0417, P = 0.0408) of SCN in females were higher than those in males. The top-n brain regions with the strongest SC in females were located in auditory network, cingulo-opercular network (CON), and default mode network (DMN), and in males, they were located in frontoparietal network, CON, and DMN. These results confirmed that the Eglob of SCN in females was higher than males, sex differences in EM performance might be related to the differences in network-level integration. Our study highlights the importance of sex as a research variable in brain science.

Topics & Concepts

Default mode networkAnalysis of covarianceEpisodic memoryNeurosciencePsychologyAudiologyDevelopmental psychologyMedicineCognitionComputer scienceMachine learningFunctional Brain Connectivity StudiesNeural dynamics and brain functionMemory and Neural Mechanisms