Correspondence between Resting-State Activity and Brain Gene Expression

Guang Zhong Wang, T. Grant Belgard, Deng Mao, Leslie Chen, Stefano Berto, Todd M. Preuss, Hanzhang Lu, Daniel H. Geschwind, Genevieve Konopka

Research output: Contribution to journalArticle

42 Scopus citations

Abstract

The relationship between functional brain activity and gene expression has not been fully explored in the human brain. Here, we identify significant correlations between gene expression in the brain and functional activity by comparing fractional amplitude of low-frequency fluctuations (fALFF) from two independent human fMRI resting-state datasets to regional cortical gene expression from a newly generated RNA-seq dataset and two additional gene expression datasets to obtain robust and reproducible correlations. We find significantly more genes correlated with fALFF than expected by chance and identify specific genes correlated with the imaging signals in multiple expression datasets in the default mode network. Together, these data support a population-level relationship between regional steady-state brain gene expression and resting-state brain activity.

Original languageEnglish (US)
Pages (from-to)659-666
Number of pages8
JournalNeuron
Volume88
Issue number4
DOIs
StatePublished - Nov 18 2015

ASJC Scopus subject areas

  • Neuroscience(all)

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  • Cite this

    Wang, G. Z., Belgard, T. G., Mao, D., Chen, L., Berto, S., Preuss, T. M., Lu, H., Geschwind, D. H., & Konopka, G. (2015). Correspondence between Resting-State Activity and Brain Gene Expression. Neuron, 88(4), 659-666. https://doi.org/10.1016/j.neuron.2015.10.022