RT Journal Article
SR Electronic
T1 Correspondence between resting state activity and brain gene expression
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 021071
DO 10.1101/021071
A1 Guang-Zhong Wang
A1 T. Grant Belgard
A1 Deng Mao
A1 Leslie Chen
A1 Stefano Berto
A1 Todd M. Preuss
A1 Hanzhang Lu
A1 Daniel H. Geschwind
A1 Genevieve Konopka
YR 2015
UL http://biorxiv.org/content/early/2015/06/16/021071.abstract
AB 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 data from a newly generated RNA-seq dataset and two independent gene expression datasets to obtain robust and reproducible correlations. We identify functional pathways correlated with brain activity. 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.