Eur J Neurosci. 2021 Sep 22. doi: 10.1111/ejn.15469. Online ahead of print.
ABSTRACT
Spatial integration during the brain's cognitive activity prompts changes in energy used by different neuroglial populations. Nevertheless, the organization of such integration in 3D -brain activity remains undescribed from a quantitative standpoint. In response, we applied a cross-correlation between brain activity and integrative models, which yielded a deeper understanding of information integration in functional brain mapping. We analyzed four datasets obtained via fundamentally different neuroimaging techniques (fMRI and PET) and found that models of spatial integration with an increasing input to each step of integration were significantly more correlated with brain activity than models with a constant input to each step of integration. In addition, marking the voxels with the maximal correlation, we found exceptionally high inter-subject consistency wi th the initial brain activity at the peaks. Our method demonstrated for the first time that the network of peaks of brain activity is organized strictly according to the models of spatial integration independent of neuroimaging techniques. The highest correlation with models integrating an increasing at each step input suggests that brain activity reflects a network of integrative processes where the results of integration in some neuroglial populations serve as an input to other neuroglial populations.
PMID:34550613 | DOI:10.1111/ejn.15469
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