Individual skill
resting-state-fmri
Resting-state fMRI analysis — denoising, seed-based and ICA networks, and reliability-aware interpretation.
skills/resting-state-fmri/SKILL.md
Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae
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- Instructions only
- Last checked
- Nov 11, 2026
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- Repository last updated
- Oct 10, 2026
- License
- MIT
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## Overview
resting-state-fmri covers the analysis of task-free fMRI: the brain's intrinsic functional
architecture measured through spontaneous BOLD fluctuations. It focuses on aggressive denoising
(resting-state has no task model to absorb noise), the standard network-mapping approaches
(seed-based, ICA, parcellation connectomes), and the reliability limits that make resting-state
findings fragile without care.
Resting-state's strength — no task needed, usable in patients, infants, and sleep — is also its
weakness: everything in the signal is "signal," including motion, breathing, and cardiac
pulsation.
## When to use