Network Neuroscience Untethered: Brain-Wide Immediate Early Gene Expression for the Analysis of Functional Connectivity in Freely Behaving Animals.

Biology (Basel)

Department of Cell Biology and Anatomy, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada.

Published: December 2022

AI Article Synopsis

  • Understanding spatial interactions between brain regions is crucial for advancing knowledge of functional connectivity, which has traditionally relied on neuroimaging techniques.
  • Traditional methods often involve constraints like anesthetized subjects or limited brain area analysis, which may not reflect real-life behaviors.
  • By leveraging immediate early genes (IEG) to explore brain-wide connectivity in freely behaving animals, this review outlines crucial steps for conducting IEG-based analyses and highlights key experimental design considerations, supported by a relevant dataset.

Article Abstract

Studying how spatially discrete neuroanatomical regions across the brain interact is critical to advancing our understanding of the brain. Traditional neuroimaging techniques have led to many important discoveries about the nature of these interactions, termed functional connectivity. However, in animal models these traditional neuroimaging techniques have generally been limited to anesthetized or head-fixed setups or examination of small subsets of neuroanatomical regions. Using the brain-wide expression density of immediate early genes (IEG), we can assess brain-wide functional connectivity underlying a wide variety of behavioural tasks in freely behaving animal models. Here, we provide an overview of the necessary steps required to perform IEG-based analyses of functional connectivity. We also outline important considerations when designing such experiments and demonstrate the implications of these considerations using an IEG-based network dataset generated for the purpose of this review.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9855808PMC
http://dx.doi.org/10.3390/biology12010034DOI Listing

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