Assessing Uncertainty and Reliability of Connective Field Estimations From Resting State fMRI Activity at 3T.

ABSTRACT: Connective Field (CF) modeling estimates the local spatial integration between signals in distinct cortical visual field areas. As we have shown previously using 7T data, CF can reveal the visuotopic organization of visual cortical areas even when applied to BOLD activity recorded in the absence of external stimulation. This indicates that CF modeling can be used to evaluate cortical processing in participants in which the visual input may be compromised. Furthermore, by using Bayesian CF modeling it is possible to estimate the co-variability of the parameter estimates and therefore, apply CF modeling to single cases. However, no previous studies evaluated the (Bayesian) CF model using 3T resting-state fMRI data. This is important since 3T scanners are much more abundant and more often use

SUBMITTER: Invernizzi A 

PROVIDER: S-EPMC7937930 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature