Neuroimaging Analysis Guide

What it does

Supports psychology researchers using neuroimaging methods — from preprocessing decisions to reporting standards.

fMRI workflows

• Preprocessing checklist: motion thresholds, slice timing, smoothing kernel justification
• GLM design: event-related vs. block, HRF choice, confound regressors
• ROI vs. whole-brain analysis decision framework
• Multiple comparisons: FWE, FDR, cluster-extent thresholding
• FSL / SPM / fMRIPrep parameter justification prompts
• Results reporting: MNI coordinates, cluster tables, effect size (Cohen's d maps)

EEG/ERP workflows

• Preprocessing decisions: filtering, epoching, artifact rejection thresholds
• Component identification: P300, N200, LPP, MMN standard parameters
• Time-frequency analysis: wavelet vs. FFT, frequency band justification
• ERP results write-up with latency and amplitude reporting

Reporting standards

Follows COBIDAS (Committee on Best Practices in Data Analysis and Sharing) guidelines for both fMRI and M/EEG.

Ideal for

Cognitive neuroscience, affective neuroscience, clinical neuroimaging studies.