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Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk

Authors :
Kevin M. Anderson
Meghan A. Collins
Monica D. Rosenberg
Avram J. Holmes
Tian Ge
Rowena Chin
Source :
Nature Communications, Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
Publication Year :
2020
Publisher :
Nature Publishing Group UK, 2020.

Abstract

Inhibitory interneurons orchestrate information flow across the cortex and are implicated in psychiatric illness. Although interneuron classes have unique functional properties and spatial distributions, the influence of interneuron subtypes on brain function, cortical specialization, and illness risk remains elusive. Here, we demonstrate stereotyped negative correlation of somatostatin and parvalbumin transcripts within human and non-human primates. Cortical distributions of somatostatin and parvalbumin cell gene markers are strongly coupled to regional differences in functional MRI variability. In the general population (n = 9,713), parvalbumin-linked genes account for an enriched proportion of heritable variance in in-vivo functional MRI signal amplitude. Single-marker and polygenic cell deconvolution establish that this relationship is spatially dependent, following the topography of parvalbumin expression in post-mortem brain tissue. Finally, schizophrenia genetic risk is enriched among interneuron-linked genes and predicts cortical signal amplitude in parvalbumin-biased regions. These data indicate that the molecular-genetic basis of brain function is shaped by interneuron-related transcripts and may capture individual differences in schizophrenia risk.<br />Interneuron subtypes have distinct properties and spatial distributions. Here, the authors show that the molecular-genetic basis of cortical resting-state brain function is shaped by distributions of interneuron-related transcripts and may capture individual differences in schizophrenia risk.

Details

Language :
English
ISSN :
20411723
Volume :
11
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....09d493bc733e4b490daf9fe2c2e6282d