Intersubject Correlation
Cross-source consensus on Intersubject Correlation from 1 sources and 5 claims.
1 sources · 5 claims
Uses
How it works
Risks & contraindications
Comparisons
Highlighted claims
- Intersubject correlation is the standard data-driven method for naturalistic fMRI. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
- ISC is limited because it summarizes raw fMRI data heavily and does not directly estimate a latent shared neural response function. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
- ISC tests shared time-locked activity by correlating participant voxelwise time series. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
- In simulations with signal present, BNR improved activation prediction over ISC while keeping false-positive rates low. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
- ISC behaved better than BNR in the exact zero-signal simulation setting. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data