The anterior temporal lobe (ATL) is an important brain structure that is hard to functionally image with EPI sequences due to signal dropout and low SNR. To address this problem, we developed a whole-brain EPI sequence with increased SNR in the ATL. We evaluated single- and multi-echo sequences while varying in-plane and multiband acceleration with different reconstruction methods. Sequence evaluation was based on tSNR and functional metrics from computational neuroscience (explainable variance and encoding model performance). The highest functional SNR in ATL and across the cortex was provided by multi-echo sequences with moderate iPAT and MB acceleration, and LeakBlock reconstruction.
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