Brain size bias compensated graph-theoretical parameters are also better in women's structural connectomes

作者：Szalkai Balazs; Varga Balint; Grolmusz Vince^*

来源：Brain Imaging and Behavior, 2018, 12(3): 663-673.

DOI：10.1007/s11682-017-9720-0

• Connectome
• Sex differences

In our previous study it was shown that the female connectomes have significantly better, deep graphtheoretical parameters, related to superior "connectivity", than the connectome of the males. Since the average female brain is smaller than the average male brain, one cannot rule out that the significant advantages are due to the sizeand not to the sex-differences in the data. To filter out the possible brain-volume related artifacts, we have chosen 36 small male and 36 large female brains such that all the brains in the female set are larger than all the brains in the male set. For the sets, we have constructed the corresponding braingraphs and computed numerous graph-theoretical parameters. We have found that (i) the small male brains lack the better connectivity, shown in our previous study for female brains in general; (ii) in numerous parameters (more exactly, 13 parameters, listed in Table 2), the connectomes computed from the large-brain females, still have the (statistically uncorrected) significant, deep connectivity advantages, demonstrated in our previous study.

• 出版日期2018-6