Correspondence between Resting-State Activity and Brain Gene Expression.

Bibliographic Collection: 
CARTA-Inspired Publication
Publication Type: Journal Article
Authors: Wang, GZ; Belgard, TG; Mao, D; Chen, L; Berto, S; Preuss, TM; Lu, H; Geschwind, DH; Konopka, G
Year of Publication: 2015
Journal: Neuron
Volume: 88
Number: 4
Pagination: 659-66
Date Published: Nov 18
Publication Language: eng
ISBN Number: 0896-6273
Accession Number: 26590343

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.

DOI: 10.1016/j.neuron.2015.10.022.