ArticleHuman brain mapping2023
High spatial overlap but diverging age-related trajectories of cortical magnetic resonance imaging markers aiming to represent intracortical myelin and microstructure.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed, 16 citations in OpenAlex.
- Altered frontal and occipital cortical microstructure in obsessive-compulsive disorder - a multisite mega-analysis.Molecular psychiatry · 2026Article
- Submillimeter postmortem and in vivo diffusion and susceptibility magnetic resonance imaging to characterize cortical micro- and meso-structures.Research square · 2026Article
- Reduced Gray-White Matter Contrast in Chronic Posttraumatic Stress Disorder in World Trade Center Responders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Cortical gray-white matter contrast alterations precede amyloid-β positivity and macrostructural changes in older adults without dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Characterizing spatiotemporal white matter hyperintensity pathophysiology in vivo to disentangle vascular and neurodegenerative contributions.Nature communications · 2026Article
- Altered cortical myelination based on gray-to-white matter signal intensity contrast in shift workers.Brain structure & function · 2025Article
- Unraveling the impact of prenatal air pollution for neonatal brain maturation.Environment international · 2025Article
- Association and shared biological bases between birth weight and cortical structure.Translational psychiatry · 2025Article
- Prenatal Tobacco Exposure, Brain Subcortical Volumes, and Gray-White Matter Contrast.JAMA network open · 2024Article
- Associations between atypical intracortical myelin content and neuropsychological functions in middle to older aged adults with ASD.Brain and behavior · 2024Article
- Increased Cortical Thickness in Alzheimer's Disease.Annals of neurology · 2024Article
- Imaging of the superficial white matter in health and disease.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- High spatial overlap but diverging age-related trajectories of cortical magnetic resonance imaging markers aiming to represent intracortical myelin and microstructure.Human brain mapping · 2023Article
- Assessment of white matter hyperintensity severity using multimodal magnetic resonance imaging.Brain communications · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Statistical effects of cortical metrics derived from standard T1- and T2-weighted magnetic resonance imaging (MRI) images, such as gray-white matter contrast (GWC), boundary sharpness coefficient (BSC), T1-weighted/T2-weighted ratio (T1w/T2w), and cortical thickness (CT), are often interpreted as representing or being influenced by intracortical myelin content with little empirical evidence to justify these interpretations. We first examined spatial correspondence with more biologically specific microstructural measures, and second compared between-marker age-related trends with the underlying hypothesis that different measures primarily driven by similar changes in myelo- and microstructural underpinnings should be highly related. Cortical MRI markers were derived from MRI images of 127 healthy subjects, aged 18-81, using cortical surfaces that were generated with the CIVET 2.1.0 pipeline. Their gross spatial distributions were compared with gene expression-derived cell-type densities, histology-derived cytoarchitecture, and quantitative R1 maps acquired on a subset of participants. We then compared between-marker age-related trends in their shape, direction, and spatial distribution of the linear age effect. The gross anatomical distributions of cortical MRI markers were, in general, more related to myelin and glial cells than neuronal indicators. Comparing MRI markers, our results revealed generally high overlap in spatial distribution (i.e., group means), but mostly divergent age trajectories in the shape, direction, and spatial distribution of the linear age effect. We conclude that the microstructural properties at the source of spatial distributions of MRI cortical markers can be different from microstructural changes that affect these markers in aging.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.