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Trends Cogn Sci. 2019 Jan;23(1):34-50. doi: 10.1016/j.tics.2018.10.005. Epub 2018 Nov 16.

Bridging the Gap between Connectome and Transcriptome.

Author information

1
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Victoria, Australia; Monash Biomedical Imaging, Monash University, Victoria, Australia. Electronic address: alex.fornito@monash.edu.
2
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Victoria, Australia.
3
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Victoria, Australia; School of Physics, University of Sydney, New South Wales, Australia.

Abstract

The recent construction of brain-wide gene expression atlases, which measure the transcriptional activity of thousands of genes in multiple anatomical locations, has made it possible to connect spatial variations in gene expression to distributed properties of connectome structure and function. These analyses have revealed that spatial patterning of gene expression and neuronal connectivity are closely linked, following broad spatial gradients that track regional variations in microcircuitry, inter-regional connectivity, and functional specialisation. Superimposed on these gradients are more specific associations between gene expression and connectome topology that appear conserved across diverse species and different resolution scales. These findings demonstrate the utility of brain-wide gene expression atlases for bridging the gap between molecular function and large-scale connectome organisation in health and disease.

KEYWORDS:

DNA; complex network; graph analysis; hub; magnetic resonance imaging; microarray

PMID:
30455082
DOI:
10.1016/j.tics.2018.10.005
[Indexed for MEDLINE]

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