An interactive framework for whole-brain maps at cellular resolution

被引:146
作者
Furth, Daniel [1 ]
Vaissiere, Thomas [2 ]
Tzortzi, Ourania [1 ]
Xuan, Yang [1 ]
Martin, Antje [1 ]
Lazaridis, Iakovos [1 ]
Spigolon, Giada [1 ]
Fisone, Gilberto [1 ]
Tomer, Raju [3 ]
Deisseroth, Karl [3 ]
Carlen, Marie [1 ]
Miller, Courtney A. [2 ,4 ]
Rumbaugh, Gavin [2 ]
Meletis, Konstantinos [1 ]
机构
[1] Karolinska Inst, Dept Neurosci, Stockholm, Sweden
[2] Scripps Res Inst, Dept Neurosci, Jupiter, FL USA
[3] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA
[4] Scripps Res Inst, Dept Mol Med, Jupiter, FL USA
基金
瑞典研究理事会;
关键词
GENE-EXPRESSION; SCALE; RECONSTRUCTION; DECOMPOSITION; POPULATIONS; CONNECTOME; ACTIVATION; STRATEGIES; SECTIONS; SINGLE;
D O I
10.1038/s41593-017-0027-7
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
To deconstruct the architecture and function of brain circuits, it is necessary to generate maps of neuronal connectivity and activity on a whole-brain scale. New methods now enable large-scale mapping of the mouse brain at cellular and subcellular resolution. We developed a framework to automatically annotate, analyze, visualize and easily share whole-brain data at cellular resolution, based on a scale-invariant, interactive mouse brain atlas. This framework enables connectivity and mapping projects in individual laboratories and across imaging platforms, as well as multiplexed quantitative information on the molecular identity of single neurons. As a proof of concept, we generated a comparative connectivity map of five major neuron types in the corticostriatal circuit, as well as an activity-based map to identify hubs mediating the behavioral effects of cocaine. Thus, this computational framework provides the necessary tools to generate brain maps that integrate data from connectivity, neuron identity and function.
引用
收藏
页码:139 / +
页数:15
相关论文
共 76 条
[1]  
Adler D., 2019, rgl: 3D Visualization Using OpenGL. R package version 0.100.24
[2]   Brain-wide neuronal dynamics during motor adaptation in zebrafish [J].
Ahrens, Misha B. ;
Li, Jennifer M. ;
Orger, Michael B. ;
Robson, Drew N. ;
Schier, Alexander F. ;
Engert, Florian ;
Portugues, Ruben .
NATURE, 2012, 485 (7399) :471-U80
[3]   The Brain Activity Map Project and the Challenge of Functional Connectomics [J].
Alivisatos, A. Paul ;
Chun, Miyoung ;
Church, George M. ;
Greenspan, Ralph J. ;
Roukes, Michael L. ;
Yuste, Rafael .
NEURON, 2012, 74 (06) :970-974
[4]  
Allen Mouse Common Coordinate Framework, 2015, TECHN WHIT PAP ALL M
[5]  
[Anonymous], 2017, XML TOOLS PARSING GE
[6]  
[Anonymous], 2006, STAT PARAMETRIC MAPP
[7]  
[Anonymous], DR DOBBS J SOFTW TOO
[8]   3D Reconstruction of Histological Sections: Application to Mammary Gland Tissue [J].
Arganda-Carreras, Ignacio ;
Fernandez-Gonzalez, Rodrigo ;
Munoz-Barrutia, Arrate ;
Ortiz-De-Solorzano, Carlos .
MICROSCOPY RESEARCH AND TECHNIQUE, 2010, 73 (11) :1019-1029
[9]   APCluster: an R package for affinity propagation clustering [J].
Bodenhofer, Ulrich ;
Kothmeier, Andreas ;
Hochreiter, Sepp .
BIOINFORMATICS, 2011, 27 (17) :2463-2464
[10]   A Proposal for a Coordinated Effort for the Determination of Brainwide Neuroanatomical Connectivity in Model Organisms at a Mesoscopic Scale [J].
Bohland, Jason W. ;
Wu, Caizhi ;
Barbas, Helen ;
Bokil, Hemant ;
Bota, Mihail ;
Breiter, Hans C. ;
Cline, Hollis T. ;
Doyle, John C. ;
Freed, Peter J. ;
Greenspan, Ralph J. ;
Haber, Suzanne N. ;
Hawrylycz, Michael ;
Herrera, Daniel G. ;
Hilgetag, Claus C. ;
Huang, Z. Josh ;
Jones, Allan ;
Jones, Edward G. ;
Karten, Harvey J. ;
Kleinfeld, David ;
Kotter, Rolf ;
Lester, Henry A. ;
Lin, John M. ;
Mensh, Brett D. ;
Mikula, Shawn ;
Panksepp, Jaak ;
Price, Joseph L. ;
Safdieh, Joseph ;
Saper, Clifford B. ;
Schiff, Nicholas D. ;
Schmahmann, Jeremy D. ;
Stillman, Bruce W. ;
Svoboda, Karel ;
Swanson, Larry W. ;
Toga, Arthur W. ;
Van Essen, David C. ;
Watson, James D. ;
Mitra, Partha P. .
PLOS COMPUTATIONAL BIOLOGY, 2009, 5 (03)