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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 publication

DOI

10.1016/j.neuron.2015.10.022

Type

Journal article

Journal

Neuron

Publication Date

18/11/2015

Volume

88

Pages

659 - 666

Keywords

Adult, Brain, Female, Functional Neuroimaging, Gene Expression, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neocortex, Neural Pathways, RNA, Messenger, Sequence Analysis, RNA