Supervised Hyperalignment for Multisubject fMRI Data Alignment.

Muhammad Yousefnezhad,Alessandro Selvitella,Liangxiu Han,Daoqiang Zhang

IEEE Transactions on Cognitive and Developmental Systems（2021）

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摘要

Hyperalignment (HA) has been widely employed in multivariate pattern (MVP) analysis to discover the cognitive states in the human brains based on multisubject functional magnetic resonance imaging (fMRI) data sets. Most of the existing HA methods utilized unsupervised approaches, where they only maximized the correlation between the voxels with the same position in the time series. However, these ...

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关键词

Functional magnetic resonance imaging,Neural activity,Correlation,Time series analysis,Optimization,Kernel,Manganese

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