Abstract
Despite the importance of experimental confirmation, the ability of wide range of brain mapping methods to discover brain cognitive architectures in most studies can’t be evaluated directly. Only in rare cases, when due to medical need, it is possible to conduct experiments during neurosurgical operations, is it possible to assess the accuracy of certain approaches. In this paper we evaluate, how well we can reveal brain cognitive architectures structure by established and novel approaches based on fMRI data, with special focus on resting-state fMRI, and how well these findings match Direct Cortical Stimulation mapping data, which is a gold standard in neurosurgery. We illustrate our approach on three representative examples with different motor and cognitive architectures mapping. We found a significant correspondence between predicted maps and intraoperative data for both brain networks. This indicates that resting-state fMRI could be used as an additional source of information for neurosurgical planning, though its applicability to exploring and describing the whole variety of brain architectures for research purposes should be investigated in future.
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Sharaev, M. et al. (2021). Brain Cognitive Architectures Mapping for Neurosurgery: Resting-State fMRI and Intraoperative Validation. In: Samsonovich, A.V., Gudwin, R.R., Simões, A.d.S. (eds) Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020. BICA 2020. Advances in Intelligent Systems and Computing, vol 1310. Springer, Cham. https://doi.org/10.1007/978-3-030-65596-9_55
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DOI: https://doi.org/10.1007/978-3-030-65596-9_55
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