Naturalistic fMRI

Cross-source consensus on Naturalistic fMRI from 1 sources and 5 claims.

1 sources · 5 claims

Uses

Predictor construction is difficult in naturalistic fMRI because stimulus features are complex and incompletely specified. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
Naturalistic fMRI uses continuous, ecologically valid stimuli such as stories or movies. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
Manual or computational feature extraction can miss relevant stimulus dimensions and create correlated predictors. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
In the naturalistic movie analysis, BNR produced smoother spatial structure and more visual cortex activation than ISC. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
The movie-viewing study is presented as the intended use case for BNR. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data