caa a22 4500 606202943 CHVBK 20210128100955.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s00429-014-0821-x doi (NATIONALLICENCE)springer-10.1007/s00429-014-0821-x Allen mouse brain atlases reveal different neural connection and gene expression patterns in cerebellum gyri and sulci [Elektronische Daten] [Tao Zeng, Hanbo Chen, Ahmed Fakhry, Xiaoping Hu, Tianming Liu, Shuiwang Ji] The recently released Allen Mouse Brain Connectivity Atlas provides a comprehensive mouse brain neuronal connectivity map from brain-wide injection sites via anterograde tracers coupled with serial two-photon tomography. In addition, the Allen Mouse Brain Atlas offers a genome-wide gene expression database built upon a series of in situ hybridization images, covering comprehensive expression energy of over 4,000 genes in coronal sections and over 20,000 genes in sagittal sections across the whole mouse brain. These concurrent and co-registered datasets provide an unparalleled opportunity for systematically analyzing and characterizing spatial neuronal connectivity and gene expression patterns. Inspired by our recent macroscale neuroimaging results showing that there are significantly different structural and functional connectivity patterns on the gyri and sulci of cerebral cortex in primate brains, the present work systematically examines the axonal connectivity and gene expression patterns on gyri and sulci of the cerebellum. Our results demonstrate that the cerebellum gyri and sulci of rodent brains are significantly different in both axonal connectivity and gene expression patterns. This discovery enriches and extends our prior findings in macroscale neuroimaging studies in primates. Additionally, this work offers novel insights on the molecular and structural architectures of the cerebellum in particular and the brain in general. Springer-Verlag Berlin Heidelberg, 2014 Allen mouse brain atlas nationallicence Structural connectivity nationallicence Gene expression nationallicence Cerebellum nationallicence Gyri nationallicence Sulci nationallicence Zeng Tao Department of Computer Science, Old Dominion University, Norfolk, VA, USA aut Chen Hanbo Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA aut Fakhry Ahmed Department of Computer Science, Old Dominion University, Norfolk, VA, USA aut Hu Xiaoping Biomedical Imaging Technology Center, Emory University, Atlanta, GA, USA aut Liu Tianming Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA aut Ji Shuiwang Department of Computer Science, Old Dominion University, Norfolk, VA, USA aut Brain Structure and Function Springer Berlin Heidelberg 220/5(2015-09-01), 2691-2703 1863-2653 220:5<2691 2015 220 429 https://doi.org/10.1007/s00429-014-0821-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00429-014-0821-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zeng Tao Department of Computer Science, Old Dominion University, Norfolk, VA, USA aut NATIONALLICENCE 700 1- Chen Hanbo Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA aut NATIONALLICENCE 700 1- Fakhry Ahmed Department of Computer Science, Old Dominion University, Norfolk, VA, USA aut NATIONALLICENCE 700 1- Hu Xiaoping Biomedical Imaging Technology Center, Emory University, Atlanta, GA, USA aut NATIONALLICENCE 700 1- Liu Tianming Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA aut NATIONALLICENCE 700 1- Ji Shuiwang Department of Computer Science, Old Dominion University, Norfolk, VA, USA aut NATIONALLICENCE 773 0- Brain Structure and Function Springer Berlin Heidelberg 220/5(2015-09-01), 2691-2703 1863-2653 220:5<2691 2015 220 429