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Spatial transcriptomic programs relate to spectrolaminar rhythms across macaque cortex

The laminar organization of cortical dynamics is thought to reflect underlying cell-type architecture, but this relationship has not been resolved across primate cortex. Here we d

GIST

The laminar organization of cortical dynamics is thought to reflect underlying cell-type architecture, but this relationship has not been resolved across primate cortex. Here we developed a spectro-omic framework that allows laminar local field potentials and single-cell spatial transcriptomics to be compared within a common layer-4-referenced coordinate system. Instead of relying on raw band-power analysis, we used Local Spectral Expansion (LSE), a spectrolaminar component model that resolves frequency-by-depth LFP power maps into distinct {delta}, {theta}, , {beta}, low-{gamma} and high-{gamma} components. We then introduced layer-4 projection (L4P) to unfold nonlinear spatial transcriptomic cortical ribbons into flat layer-4-referenced manifolds compatible with the electrophysiological depth profiles. Across twelve matched macaque cortical regions, transcriptomic predictors improved held-out prediction of LSE-derived six-anatomical-layer spectral composition beyond a hierarchy-plus-layer baseline in a partwise logit model: R2 = 0.621 versus 0.384; {Delta}R2 = +0.237; r = 0.809 versus 0.692. This gain was supported by hierarchy-preserving shift/reflect nulls (pshift,R2 = pshift,r = 0.042) and by a Freedman-Lane region-block residual-permutation test (pFL,R2 = pFL,r = 0.001).

Clinical Editorial

bioRxiv (Biomedical Preprints) published a clinical update in Research Highlights on 09 Jul 2026. The item focuses on Spatial transcriptomic programs relate to spectrolaminar rhythms across macaque cortex. Review the original article for the full source wording and details.

Original source: https://www.biorxiv.org/content/10.64898/2026.07.08.737187v1?rss=1