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Abstract #0153

Probing temporal information in fast-TR fMRI data during attention modulations

Luca Vizioli1 and Essa Yacoub1

1CMRR, University of Minnesota, Minneapolis, MN, United States

The introduction of fast-TRs has allowed for explorations of temporal features in fMRI data. Further, the ability to concurrently retain relatively high degrees of spatial precision as well as large volume coverage, while also maintaining high SNR efficiency, could provide unprecedented axis to the human brain. In this work we explore the possibility of exploiting the temporal specificity of fMRI using a temporal multi-voxel pattern analysis and high temporal resolution 7T fMRI data during attention modulations.

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