Don’t forget to check the full paper for more details! 📃 Thanks to my advisors @dadarmahsa.bsky.social and @yasharneuro.bsky.social, and to everyone who contributed to this work ( @mallarchak.bsky.social + bsky-less Yasser and Roya ) for making it possible! 10/10

🧠 allometry is not heavily impacted by TIV and the sex differences are subtle
🧠 TIV might impact the performance in “verbal and numerical reasoning”, “working memory”, and “non-verbal reasoning” domains 9/10

In summary:
🧠 estimated sex differences in aging models decrease when females and males have the same TIV and more subtle patterns of sex difference emerge once the impact of TIV is removed 8/10

Finally, we explored cognitive functioning with the data included in the UKBB dataset. We found that TIV played a role mainly in the cognitive domains of “verbal and numerical reasoning” and “working memory”. 7/10

We asked if brain allometry was affected by sex and/or age. We found that it was consistent across our sample’s age range and between sexes, and followed a similar pattern across brain sizes. 6/10

Projected onto functional connectivity networks, the three measures follow the same pattern; for the cytoarchitectonic classes, volume and CT are similar while SA seems to be balanced for most of the classes. 5/10

We ran the same analyses at the vertex level and found that volume and surface area (SA) are impacted by head size in the same direction as regional volumes, however cortical thickness (CT) is less impacted and in the opposite direction. 4/10

We first asked if females and males had different aging trajectories. In the not matched🔴 sample, all the estimations for males were large, while TIV matching🟡 showed us subtle and bidirectional sex differences. 3/10

We used the UK Biobank data to create subsamples (N = 11,294, 50%F) that removed (total intracranial volume [TIV] and age matched 🟡), maintained (not matched 🔴), or exaggerated (extreme) the TIV differences between sexes. 2/10