Cited by 657Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsSingle-cell and spatial transcriptomics

Hierarchy of transcriptomic specialization across human cortex captured by structural neuroimaging topography

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Burt, Joshua B., Demirtaş, Murat, Eckner, William J., Navejar, Natasha M., Ji, Jie Lisa, Martin, William J., Bernacchia, Alberto, Anticevic, Alan +1 more·2018·Nature Neuroscience

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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.

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  • Studies integrating neuroimaging with transcriptomic data have shown that large-scale imaging features align with spatial gene-expression patterns, providing molecular context for interpreting neuroimaging findings in health and disease.

    “Studies integrating neuroimaging with transcriptomic data have shown that large‐scale imaging features align with spatial gene‐expression patterns, providing molecular context for interpreting neuroimaging findings in health and disease. 82 , 83”

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Authors
Burt, J. B., Demirtaş, M., Eckner, W. J., Navejar, N. M., Ji, J. L., Martin, W. J., Bernacchia, A., Anticevic, A., & Murray, J. D.
Affiliations
  • Yale University (US)
  • Tulane University (US)
  • University of Cambridge (GB)
Corresponding author
Murray, John D.
Venue
Nature Neuroscience
Published
2018-08-06
Volume
21
Issue
9
Pages
1251-1259
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W2886680918
Cited by
657
References
83
Citations by year
2026: 81 · 2025: 102 · 2024: 102 · 2023: 91 · 2022: 80 · 2021: 86 · 2020: 69 · 2019: 29 · 2018: 15 · 2017: 1
FWCI
29.63
Type
journal article
Language
en
Open access
Locations
  • Nature Neuroscience (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (TL1TR000141, TL1TR001864)
  • National Institute of Mental Health (R01MH112189, R01MH112746, R01MH108590)
  • National Center for Advancing Translational Sciences
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Keywords
cortical hierarchy, gene expression gradients, human cortex, T1 and T2 mapping, microcircuitry, cortical specialization, non-invasive brain imaging, neuropsychiatric disorders, primate cortex
MeSH terms
Animals, Mental Disorders, Brain Mapping, Cerebral Cortex, Gene Expression Regulation, Humans, Interneurons, Macaca mulatta, Magnetic Resonance Imaging, Pyramidal Cells, Transcriptome, Neuroimaging

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