Summary
This Nature Protocols publication describes a standardised protocol for identifying and correcting head motion artefacts in resting-state fMRI studies. As suggested by the title and venue, the work addresses a significant source of noise in functional connectivity measurements that can bias results if not properly controlled. The protocol appears to provide practical guidance for neuroimaging researchers seeking to improve data quality and reproducibility.
UK applicability
The methodological approach is applicable to UK neuroimaging centres and research institutions conducting fMRI studies, as motion artefact correction is a universal technical requirement regardless of geography. Adoption of standardised correction protocols would improve consistency with international research standards.
Key measures
Head motion parameters, functional connectivity metrics, signal-to-noise ratio, artefact detection algorithms
Outcomes reported
The study presents methods for detecting and mitigating head motion artefacts in functional magnetic resonance imaging (fMRI) data to improve the reliability of functional connectivity analysis. The protocol addresses a common technical challenge that confounds neuroimaging results when participants move during scanning.
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