ArticleBrain informatics2017
Test-retest reliability of brain morphology estimates.
Article in Brain informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.
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Who cites it
58 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Genetic insights into human cortical organization and development through genome-wide analyses of 2,347 neuroimaging phenotypes.Nature genetics · 2023Pooled it
- Cortical complexity estimation using fractal dimension: A systematic review of the literature on clinical and nonclinical samples.The European journal of neuroscience · 2022Pooled it
- Multi-threshold polygenic risk improves hippocampal-based cognitive decline prediction.Genome medicine · 2026Article
- Bias in Structural MRI Correlates of Delay Discounting due to Head Motion.Human brain mapping · 2026Article
- Fractal analysis of brain shape formation predicts age and genetic similarity in human newborns.Nature neuroscience · 2026Article
- Association of structural brain changes with cognitive deficits and fatigue in patients with post-COVID-19 condition.Brain communications · 2026Article
- The efficacy of multisite MRI scanners for total brain volume measurements: a cross-sectional study in Saudi Arabia.Frontiers in radiology · 2026Article
- Obstetric complications, cortical gyrification, and cognition in first-episode psychosis.Psychological medicine · 2025Article
- Gray Matter Differences in Adolescent Psychiatric Inpatients: A Machine Learning Study of Bipolar Disorder and Other Psychopathologies.Brain and behavior · 2025Article
- Revealing morphological fingerprints in perinatal brains using quasi-conformal mapping: occurrence and neurodevelopmental implications.Brain imaging and behavior · 2025Article
- The interplay between brain and behavior during development: A multisite effort to generate and share simulated datasets.Scientific data · 2025Article
- Reliability of structural brain change in cognitively healthy adult samples.bioRxiv : the preprint server for biology · 2025Article
- Reliability of structural brain change in cognitively healthy adult samples.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Ultra-low-field brain MRI morphometry: Test-retest reliability and correspondence to high-field MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Article
- Identifying tripartite relationship among cortical thickness, neuroticism, and mood and anxiety disorders.Scientific reports · 2024Article
- Fractal Dimension Analysis in Neurological Disorders: An Overview.Advances in neurobiology · 2024Review
- Alterations in cortical morphometry of the contralesional hemisphere in children, adolescents, and young adults with perinatal stroke.Scientific reports · 2023Article
- The intracortical myelin content of impulsive choices: results from T1- and T2-weighted MRI myelin mapping.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Quantifying numerical and spatial reliability of hippocampal and amygdala subdivisions in FreeSurfer.Brain informatics · 2023Article
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2 authors.
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Abstract
Metrics of brain morphology are increasingly being used to examine inter-individual differences, making it important to evaluate the reliability of these structural measures. Here we used two open-access datasets to assess the intersession reliability of three cortical measures (thickness, gyrification, and fractal dimensionality) and two subcortical measures (volume and fractal dimensionality). Reliability was generally good, particularly with the gyrification and fractal dimensionality measures. One dataset used a sequence previously optimized for brain morphology analyses and had particularly high reliability. Examining the reliability of morphological measures is critical before the measures can be validly used to investigate inter-individual differences.
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