ArticleNeuroImage2022
Reliability of structural MRI measurements: The effects of scan session, head tilt, inter-scan interval, acquisition sequence, FreeSurfer version and processing stream.
Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
78 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- APOE ε4-associated hippocampal atrophy trajectories across the Alzheimer's disease continuum: a systematic review, meta-analysis, and longitudinal validation.Frontiers in aging neuroscience · 2026Pooled it
- A whole-brain voxel-based analysis of structural abnormalities in PTSD: An ENIGMA-PGC study.European psychiatry : the journal of the Association of European Psychiatrists · 2025Pooled it
- Diagnosing neurodegenerative disorders using retina as an external window: A systematic review of OCT-MRI correlations.Journal of Alzheimer's disease : JAD · 2025Pooled it
- Better together: A systematic review of studies combining magnetic resonance imaging with ecological momentary assessment.Social neuroscience · 2024Pooled it
- Neuroscience meets behavior: A systematic literature review on magnetic resonance imaging of the brain combined with real-world digital phenotyping.Human brain mapping · 2024Pooled it
- Genetic insights into human cortical organization and development through genome-wide analyses of 2,347 neuroimaging phenotypes.Nature genetics · 2023Pooled it
- Growth of White Matter Signal Aberrations and Cortical Changes in Men and Women: A 9-Year Multiple-Time-Point Longitudinal MRI Study in Older Adults.Human brain mapping · 2026Article
- Breaking the norm: population-scale deviations of brain structure in depression and anxiety.Molecular psychiatry · 2026Article
- The cross-site reproducibility of MRI morphometric phenotypes in psychiatric disorders.Nature neuroscience · 2026Article
- Volume-based bias in automated measurements of lateral ventricle and hippocampal volumes of mild traumatic brain injury patients.Neuroimage. Reports · 2026Article
- Associations between transdiagnostic dimensions of psychopathology and brain structure and function in youth: What have we learned from the Adolescent Brain Cognitive Development (ABCD) study?Developmental cognitive neuroscience · 2026Article
- Mitigating the Impact of MR Sequence Parameters: Increasing the Robustness of DL-Based Cortical Thickness Estimates.Human brain mapping · 2026Article
- Test-retest reliability of FreeSurfer measures of neurodegeneration.NeuroImage · 2026Article
- Deep survival modeling to predict future cognitive impairment in unimpaired adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Feasibility of Non-Sedate Magnetic Resonance Imaging for Children with Cerebral Palsy: Tolerance and Structural Analysis Considerations.Children (Basel, Switzerland) · 2026Article
- Alzheimer's Disease Classification Using Population-Referenced Brain Volumetric Percentiles.Brain sciences · 2026Article
- Longitudinal analysis of hippocampal subfield atrophy and network centrality associated with cognitive decline in Alzheimer's disease progression.Medical physics · 2026Article
- Evaluation of deep learning models for segmentation of hippocampus volumes from MRI images in Alzheimer's disease.Scientific reports · 2026Article
- Changes in brain morphology over the first year in adult mixed-mechanism mild traumatic brain injury: the role of injury severity factors.NeuroImage. Clinical · 2026Article
- Specific genetic and biological patterns underlying cortical morphological alterations in vascular cognitive impairment.Alzheimer's research & therapy · 2025Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundLarge-scale longitudinal and multi-centre studies are used to explore neuroimaging markers of normal ageing, and neurodegenerative and mental health disorders. Longitudinal changes in brain structure are typically small, therefore the reliability of automated techniques is crucial. Determining the effects of different factors on reliability allows investigators to control those adversely affecting reliability, calculate statistical power, or even avoid particular brain measures with low reliability. This study examined the impact of several image acquisition and processing factors and documented the test-retest reliability of structural MRI measurements.
methodsIn Phase I, 20 healthy adults (11 females; aged 20-30 years) were scanned on two occasions three weeks apart on the same scanner using the ADNI-3 protocol. On each occasion, individuals were scanned twice (repetition), after re-entering the scanner (reposition) and after tilting their head forward. At one year follow-up, nine returning individuals and 11 new volunteers were recruited for Phase II (11 females; aged 22-31 years). Scans were acquired on two different scanners using the ADNI-2 and ADNI-3 protocols. Structural images were processed using FreeSurfer (v5.3.0, 6.0.0 and 7.1.0) to provide subcortical and cortical volume, cortical surface area and thickness measurements. Intra-class correlation coefficients (ICC) were calculated to estimate test-retest reliability. We examined the effect of repetition, reposition, head tilt, time between scans, MRI sequence and scanner on reliability of structural brain measurements. Mean percentage differences were also calculated in supplementary analyses.
resultsUsing the FreeSurfer v7.1.0 longitudinal pipeline, we observed high reliability for subcortical and cortical volumes, and cortical surface areas at repetition, reposition, three weeks and one year (mean ICCs>0.97). Cortical thickness reliability was lower (mean ICCs>0.82). Head tilt had the greatest adverse impact on ICC estimates, for example reducing mean right cortical thickness to ICC=0.74. In contrast, changes in ADNI sequence or MRI scanner had a minimal effect. We observed an increase in reliability for updated FreeSurfer versions, with the longitudinal pipeline consistently having a higher reliability than the cross-sectional pipeline. DISCUSSION: Longitudinal studies should monitor or control head tilt to maximise reliability. We provided the ICC estimates and mean percentage differences for all FreeSurfer brain regions, which may inform power analyses for clinical studies and have implications for the design of future longitudinal studies.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.