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Correspondence between Resting-State Activity and Brain Gene Expression.

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.

SUBMITTER: Wang GZ

PROVIDER: S-EPMC4694561 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature

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Correspondence between Resting-State Activity and Brain Gene Expression.

Wang Guang-Zhong GZ Belgard T Grant TG Mao Deng D Chen Leslie L Berto Stefano S Preuss Todd M TM Lu Hanzhang H Geschwind Daniel H DH Konopka Genevieve G

Neuron 20151101 4

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 reproduci ...[more]

PMID: 26590343

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