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- W2886680918 abstract "Hierarchy provides a unifying principle for the macroscale organization of anatomical and functional properties across primate cortex, yet microscale bases of specialization across human cortex are poorly understood. Anatomical hierarchy is conventionally informed by invasive tract-tracing measurements, creating a need for a principled proxy measure in humans. Moreover, cortex exhibits marked interareal variation in gene expression, yet organizing principles of cortical transcription remain unclear. We hypothesized that specialization of cortical microcircuitry involves hierarchical gradients of gene expression. We found that a noninvasive neuroimaging measure—MRI-derived T1-weighted/T2-weighted (T1w/T2w) mapping—reliably indexes anatomical hierarchy, and it captures the dominant pattern of transcriptional variation across human cortex. We found hierarchical gradients in expression profiles of genes related to microcircuit function, consistent with monkey microanatomy, and implicated in neuropsychiatric disorders. Our findings identify a hierarchical axis linking cortical transcription and anatomy, along which gradients of microscale properties may contribute to the macroscale specialization of cortical function. Burt et al. analyze patterns of gene expression across human cortex and show expression primarily varies along a sensory-association hierarchy captured by noninvasive neuroimaging, suggesting an organizing principle for microcircuit specialization." @default.
- W2886680918 created "2018-08-22" @default.
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- W2886680918 date "2018-08-06" @default.
- W2886680918 modified "2023-10-18" @default.
- W2886680918 title "Hierarchy of transcriptomic specialization across human cortex captured by structural neuroimaging topography" @default.
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- W2886680918 cites W2011017455 @default.
- W2886680918 cites W2018764772 @default.
- W2886680918 cites W2024729467 @default.
- W2886680918 cites W2025603247 @default.
- W2886680918 cites W2031215175 @default.
- W2886680918 cites W2032742540 @default.
- W2886680918 cites W2035282286 @default.
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- W2886680918 cites W2537679995 @default.
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- W2886680918 doi "https://doi.org/10.1038/s41593-018-0195-0" @default.
- W2886680918 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6119093" @default.
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- W2886680918 hasPublicationYear "2018" @default.
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