Functional magnetic resonance imaging (fMRI) is a safe non-invasive technique used for understanding the brain functions against various stimuli and hence to predict the brain disorders. The fMRI signal patterns and brain mapping have been found promising the medical science in the recent days. Adequate contributions have been made in the literature on fMRI signal analysis. This paper identifies notable research works that have contributed on fMRI signal analysis and predicting the brain functions and performs systematic review on them. The review provides the strengths and weaknesses, and the research gaps exist in the works based on 11 useful parameters, such as sparsity, non-linearity, robustness, etc.
CITATION STYLE
Raut, S. V., & Yadav, D. M. (2017). A review on fMRI signal analysis and brain mapping methodologies. In Advances in Intelligent Systems and Computing (Vol. 507, pp. 309–320). Springer Verlag. https://doi.org/10.1007/978-981-10-2471-9_30
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