ArticleNature communications2019
Accurate autocorrelation modeling substantially improves fMRI reliability.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 94 papers.
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Who cites it
94 citing papers in PubMed.
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- Personalized Virtual Reality Future Selves Elicit Introspective Brain Activation in Early Substance Use Disorder Recovery.Substance abuse and rehabilitation · 2026Article
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- Parallel systems for social and spatial cognition reaching the cortical apex.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Dysregulated responses to stress and alcohol cues in cortico-striatal-limbic regions in social drinkers with early trauma.Journal of neural transmission (Vienna, Austria : 1996) · 2025Article
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- Habenula contributions to negative self-cognitions.Nature communications · 2025Article
- Exploring the Utility of a Functional Magnetic Resonance Imaging Cannabis Cue-Reactivity Paradigm in Treatment-Seeking Adults With Cannabis Use Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Disuse-driven plasticity in the human thalamus and putamen.Cell reports · 2025Article
- Ultrafast fMRI reveals serial queuing of information processing during multitasking in the human brain.Nature communications · 2025Article
34 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
Given the recent controversies in some neuroimaging statistical methods, we compare the most frequently used functional Magnetic Resonance Imaging (fMRI) analysis packages: AFNI, FSL and SPM, with regard to temporal autocorrelation modeling. This process, sometimes known as pre-whitening, is conducted in virtually all task fMRI studies. Here, we employ eleven datasets containing 980 scans corresponding to different fMRI protocols and subject populations. We found that autocorrelation modeling in AFNI, although imperfect, performed much better than the autocorrelation modeling of FSL and SPM. The presence of residual autocorrelated noise in FSL and SPM leads to heavily confounded first level results, particularly for low-frequency experimental designs. SPM's alternative pre-whitening method, FAST, performed better than SPM's default. The reliability of task fMRI studies could be improved with more accurate autocorrelation modeling. We recommend that fMRI analysis packages provide diagnostic plots to make users aware of any pre-whitening problems.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.