Integration of gene expression and brain-wide connectivity reveals the multiscale organization of mouse hippocampal networks

被引:0
作者
Michael S. Bienkowski
Ian Bowman
Monica Y. Song
Lin Gou
Tyler Ard
Kaelan Cotter
Muye Zhu
Nora L. Benavidez
Seita Yamashita
Jaspar Abu-Jaber
Sana Azam
Darrick Lo
Nicholas N. Foster
Houri Hintiryan
Hong-Wei Dong
机构
[1] University of Southern California Stevens Neuroimaging and Informatics Institute,Department of Neurology
[2] Center for Integrated Connectomics (CIC),Department of Physiology and Neuroscience, and Zilkha Neurogenetic Institute
[3] Keck School of Medicine of University of Southern California,undefined
[4] Keck School of Medicine of University of Southern California,undefined
[5] Keck School of Medicine of University of Southern California,undefined
来源
Nature Neuroscience | 2018年 / 21卷
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摘要
Understanding the organization of the hippocampus is fundamental to understanding brain function related to learning, memory, emotions, and diseases such as Alzheimer’s disease. Physiological studies in humans and rodents have suggested that there is both structural and functional heterogeneity along the longitudinal axis of the hippocampus. However, the recent discovery of discrete gene expression domains in the mouse hippocampus has provided the opportunity to re-evaluate hippocampal connectivity. To integrate mouse hippocampal gene expression and connectivity, we mapped the distribution of distinct gene expression patterns in mouse hippocampus and subiculum to create the Hippocampus Gene Expression Atlas (HGEA). Notably, previously unknown subiculum gene expression patterns revealed a hidden laminar organization. Guided by the HGEA, we constructed the most detailed hippocampal connectome available using Mouse Connectome Project (http://www.mouseconnectome.org) tract tracing data. Our results define the hippocampus’ multiscale network organization and elucidate each subnetwork’s unique brain-wide connectivity patterns.
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页码:1628 / 1643
页数:15
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