| Title: | Different cortical connectivities in human females and males relate to differences in strength and body composition, reward and emotional systems, and memory |
| Journal: | Brain Structure and Function |
| Published: | 20 Oct 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37861743/ |
| DOI: | https://doi.org/10.1007/s00429-023-02720-0 |
| URL: | https://link.springer.com/content/pdf/10.1007/s00429-023-02720-0.pdf |
| Citations: | 3 (3 in last 2 years) as of 8 Aug 2024 |
Publication 9350
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Abstract
Sex differences in human brain structure and function are important, partly because they are likely to be relevant to the male-female differences in behavior and in mental health. To analyse sex differences in cortical function, functional connectivity was measured in 36,531 participants (53% female) in the UK Biobank (mean age 69) using the Human Connectome Project multimodal parcellation atlas with 360 well-specified cortical regions. Most of the functional connectivities were lower in females (Bonferroni corrected), with the mean Cohen's d = − 0.18. Removing these as covariates reduced the difference of functional connectivities for females - males from d = − 0.18 to − 0.06. The lower functional connectivities in females were especially of somatosensory/premotor regions including the insula, opercular cortex, paracentral lobule and mid-cingulate cortex, and were correlated with lower maximum workload (r = 0.17), and with higher whole body fat mass (r = − 0.17). But some functional connectivities were higher in females, involving especially the ventromedial prefrontal cortex and posterior cingulate cortex, and these were correlated with higher liking for some rewards such as sweet foods, higher happiness/subjective well-being, and with better memory-related functions. The main findings were replicated in 1000 individuals (532 females, mean age 29) from the Human Connectome Project. This investigation shows the cortical systems with different functional connectivity between females and males, and also provides for the first time a foundation for understanding the implications for behavior of these differences between females and males.</p>
4 Authors
- Ruohan Zhang
- Edmund T. Rolls
- Wei Cheng
- Jianfeng Feng
1 Application
| Application ID | Title |
|---|---|
| 19542 | Identifying multi-level biomarkers and disease mechanisms for major mental disorders |
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