A modeling framework for determining modulation of neural-level tuning from non-invasive human fMRI data.

ABSTRACT: Many neuroscience theories assume that tuning modulation of individual neurons underlies changes in human cognition. However, non-invasive fMRI lacks sufficient resolution to visualize this modulation. To address this limitation, we developed an analysis framework called Inferring Neural Tuning Modulation (INTM) for "peering inside" voxels. Precise specification of neural tuning from the BOLD signal is not possible. Instead, INTM compares theoretical alternatives for the form of neural tuning modulation that might underlie changes in BOLD across experimental conditions. The most likely form is identified via formal model comparison, with assumed parametric Normal tuning functions, followed by a non-parametric check of conclusions. We validated the framework by successfully identifying a we

SUBMITTER: Sadil P 

PROVIDER: S-EPMC9663541 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature