ArticleNeuroImage2018
Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.
- Pooled it
- Genetic architecture of white matter microstructure captured by unsupervised deep representation learning of fractional anisotropy maps.Nature communications · 2026Article
- Multiparametric MRI and imaging transcriptomics reveal molecular and cellular correlates of neurodegeneration in experimental Parkinsonism.NPJ Parkinson's disease · 2026Article
- Functional gradient variations in different neuroticism levels and its correlation with cell type-specific transcriptional signatures.Social cognitive and affective neuroscience · 2026Article
- Unveiling genetic architecture of white matter microstructure through unsupervised deep representation learning of fractional anisotropy maps.Research square · 2025Article
- Cognitive-and lifestyle-related microstructural variation in the ageing human hippocampus.Brain structure & function · 2025Article
- Myelination across cortical hierarchies and depths in humans and macaques.bioRxiv : the preprint server for biology · 2025Article
- Approximating R1 and R2: A Quantitative Approach to Clinical Weighted MRI.Human brain mapping · 2024Article
- Transcriptional expression patterns of the cortical morphometric similarity network in progressive supranuclear palsy.CNS neuroscience & therapeutics · 2024Article
- Individual differences in T1w/T2w ratio development during childhood.Developmental cognitive neuroscience · 2023Article
- 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
- Mediating role of obesity on the association between disadvantaged neighborhoods and intracortical myelination.Research square · 2023Article
- Gene Expression has Distinct Associations with Brain Structure and Function in Major Depressive Disorder.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Parental socioeconomic status is linked to cortical microstructure and language abilities in children and adolescents.Developmental cognitive neuroscience · 2022Article
- Gene expression associated with human brain activations in facial expression recognition.Brain imaging and behavior · 2022Article
- Mild Traumatic Brain Injury Results in Significant and Lasting Cortical Demyelination.Frontiers in neurology · 2022Article
- Transcriptional signatures of synaptic vesicle genes define myotonic dystrophy type I neurodegeneration.Neuropathology and applied neurobiology · 2021Article
- Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data.Nature communications · 2021Article
- Molecular characterization of the stress network in individuals at risk for schizophrenia.Neurobiology of stress · 2021Article
- Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders.Human brain mapping · 2021Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Magnetic resonance (MR) images of the brain are of immense clinical and research utility. At the atomic and subatomic levels, the sources of MR signals are well understood. However, we lack a comprehensive understanding of the macromolecular correlates of MR signal contrast. To address this gap, we used genome-wide measurements to correlate gene expression with MR signal intensity across the cerebral cortex in the Allen Human Brain Atlas (AHBA). We focused on the ratio of T1-weighted and T2-weighted intensities (T1-w/T2-w ratio image), which is considered to be a useful proxy for myelin content. As expected, we found enrichment of positive correlations between myelin-associated genes and the ratio image, supporting its use as a myelin marker. Genome-wide, there was an association with protein mass, with genes coding for heavier proteins expressed in regions with high T1-w/T2-w values. Oligodendrocyte gene markers were strongly correlated with the T1-w/T2-w ratio, but this was not driven by myelin-associated genes. Mitochondrial genes exhibit the strongest relationship, showing higher expression in regions with low T1-w/T2-w ratio. This may be due to the pH gradient in mitochondria as genes up-regulated by pH in the brain were also highly correlated with the ratio. While we corroborate associations with myelin and synaptic plasticity, differences in the T1-w/T2-w ratio across the cortex are more strongly linked to molecule size, oligodendrocyte markers, mitochondria, and pH. We evaluate correlations between AHBA transcriptomic measurements and a group averaged T1-w/T2-w ratio image, showing agreement with in-sample results. Expanding our analysis to the whole brain results in strong positive T1-w/T2-w correlations for immune system, inflammatory disease, and microglia marker genes. Genes with negative correlations were enriched for neuron markers and synaptic plasticity genes. Lastly, our findings are similar when performed on T1-w or inverted T2-w intensities alone. These results provide a molecular characterization of MR contrast that will aid interpretation of future MR studies of the brain.
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