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Cross-species alignment along the chronological axis reveals evolutionary effect on structural development of the human brain.

Yue Li | Qinyao Sun | Shunli Zhu | Congying Chu | Jiaojian Wang
eLife | 2024

Disentangling the evolution mysteries of the human brain has always been an imperative endeavor in neuroscience. Although many previous comparative studies revealed genetic, brain structural and connectivity distinctness between human and other nonhuman primates, the brain evolutional mechanism is still largely unclear. Here, we proposed to embed the brain anatomy of human and macaque in the developmental chronological axis to construct cross-species predictive model to quantitatively characterize brain evolution using two large public human and macaque datasets. We observed that applying the trained models within-species could well predict the chronological age. Interestingly, we found the model trained in macaque showed a higher accuracy in predicting the chronological age of human than the model trained in human in predicting the chronological age of macaque. The cross-application of the trained model introduced an individual brain cross-species age gap index to quantify the cross-species discrepancy along the temporal axis of brain development and was found to be associated with the behavioral performance in visual acuity test and picture vocabulary test in human. Taken together, our study situated the cross-species brain development along the chronological axis, which highlighted the disproportionately anatomical development in human brain to extend our understanding of the potential evolutionary effects.

Pubmed ID: 39652384

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: National Natural Science Foundation of China,
    Id: 62176044
  • Agency: Science and Technology Innovation 2030-Brain Science,
    Id: 2021ZD0200900
  • Agency: Brain-Inspired Intelligence Project,
    Id: 2021ZD0200900
  • Agency: Natural Science Foundation of Yunnan Province,
    Id: 202102AA100053
  • Agency: Yunnan Fundamental Research Projects,
    Id: 202201BE070001-004

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