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

Author:

Shi Yajun12,Cui Dong12,Niu Jinpeng12,Zhang Xiaotong12,Sun Fengzhu12,Liu Haiqin12,Dou Ruhai12,Qiu Jianfeng12,Jiao Qing12,Cao Weifang12,Yu Guanghui12

Affiliation:

1. The Second Affiliated Hospital of Shandong First Medical University Department of Radiology, , Tai’an 271000 , China

2. Shandong First Medical University and Shandong Academy of Medical Sciences School of Radiology, , Tai’an 271016 , China

Abstract

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.

Funder

Taishan Scholars Program of Shandong Province

Health Science and Technology Development Program of Shandong Province

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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