Journal
NEURON
Volume 88, Issue 4, Pages 659-666Publisher
CELL PRESS
DOI: 10.1016/j.neuron.2015.10.022
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Funding
- NIH [T32NS048004, R00MH090238, R01MH102603, R21MH107672, R01MH103517, R37MH060233, R01MH094714, R01MH100027]
- March of Dimes Basil O'Connor Award [5-FY13-199]
- Once Upon a Time Foundation
- Friends of the Alzheimer's Disease Center at UTSW
- Jon Heighten Scholar in Autism Research Award
- Yerkes National Primate Research Center (Office of Research Infrastructure Programs) [P51RR165, OD P51OD11132]
- Simons Foundation [SFARI 206744]
- NICHD Brain and Tissue Bank for Developmental Disorders at the University of Maryland (NICHD) [N01-HD-4-3368, N01-HD-4-3383]
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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.
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