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. 2015 Jun 12;348(6240):1241-4.
doi: 10.1126/science.1255905. Epub 2015 Jun 11.

BRAIN NETWORKS. Correlated gene expression supports synchronous activity in brain networks

Collaborators, Affiliations

BRAIN NETWORKS. Correlated gene expression supports synchronous activity in brain networks

Jonas Richiardi et al. Science. .

Abstract

During rest, brain activity is synchronized between different regions widely distributed throughout the brain, forming functional networks. However, the molecular mechanisms supporting functional connectivity remain undefined. We show that functional brain networks defined with resting-state functional magnetic resonance imaging can be recapitulated by using measures of correlated gene expression in a post mortem brain tissue data set. The set of 136 genes we identify is significantly enriched for ion channels. Polymorphisms in this set of genes significantly affect resting-state functional connectivity in a large sample of healthy adolescents. Expression levels of these genes are also significantly associated with axonal connectivity in the mouse. The results provide convergent, multimodal evidence that resting-state functional networks correlate with the orchestrated activity of dozens of genes linked to ion channel activity and synaptic function.

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Figures

Fig. 1
Fig. 1. Functional networks in MRI and gene expression data
(A) The four functional networks of interest. Red, dorsal default mode; yellow, salience; green, visuospatial; blue, sensorimotor. (B) AIBS brain samples assigned to their corresponding functional network. Solid circles are samples assigned to the four networks of interest, open circles show samples in the nine other networks, and dots show non-network AIBS samples.
Fig. 2
Fig. 2. In vivo functional connectivity differences related to the consensus gene list
Difference in in vivo functional connectivity between the averages of the top 20 and the bottom 20 subjects in IMAGEN, ranked by genotype score with respect to the consensus list of genes. (A) Difference matrix sorted by functional network (correlation differences smaller than |0.05| are not shown). Positive values indicate connections that are stronger in high genotype score subjects, and negative values indicate the opposite. Connections are mostly increased within functional networks, but also between some functional networks. (B) MNI space sagittal view of within-network connections that are stronger in high-genotype-score subjects. Regions (disks) are coded according to the functional network they belong to: red, dorsal default mode; yellow, salience; green, visuospatial; blue, sensorimotor. Connections (lines) are color-coded to their functional networks. (C) Same, for connections that are stronger in low-genotype-score subjects. The majority of connections are strengthened in high-genotype-score subjects.
Fig. 3
Fig. 3. Mouse mesoscale connectivity and transcriptional similarity
(A) Mouse isocortex parcellated into 38 regions (23). (B) Corresponding symmetrized, thresholded, and normalized ipsilateral axonal connectivity weights. (C) Transcriptional similarity (genetic correlation), using our consensus list of genes.

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