All imaging analyses were conducted using Analysis of Functional Neuroimages (AFNI). All images were first preprocessed using afni.proc.py. Images were de-spiked, slice time corrected, co-registered, spatial smoothed with a 6mm full-width half maximum smoothing kernel, and warped to standard spaces. For motion correction, TR pairs with a Euclidean norm motion derivative that exceeded 1mm were censored (movement post-censoring: M[SD]=0.06[0.04]). Finally, at the subject level, a general linear model with 6 regressors time-locked to the stimulus onset was used to model trial condition (congruent or incongruent trials) and response type (correct, commission error, or omission error). Nuisance regressors included motion displacement along the x, y, and z axes as well as rotational movement (roll, pitch, and yaw).
3t mr750 general electric scanner
The 3T MR750 General Electric Scanner is a magnetic resonance imaging (MRI) system designed for clinical diagnostic use. It operates at a magnetic field strength of 3 Tesla, providing high-resolution imaging capabilities. The scanner employs advanced radio frequency (RF) and gradient technologies to generate detailed images of the body's internal structures.
Lab products found in correlation
2 protocols using 3t mr750 general electric scanner
Neuroimaging Protocol for Cognitive Control
Automated Brain Morphometry Analysis
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