Pyramidal Neurons Are Not Generalizable Building Blocks of Cortical Networks

被引:48
作者
Luebke, Jennifer I. [1 ]
机构
[1] Boston Univ, Sch Med, Dept Anat & Neurobiol, Boston, MA 02118 USA
基金
美国国家卫生研究院;
关键词
mouse; rhesus monkey; comparative anatomy; dendrites; spines; synapses; visual cortex; prefrontal cortex; ACTION-POTENTIAL INITIATION; PREFRONTAL CORTEX; DENDRITIC SPINES; SYNAPTIC INTEGRATION; RHESUS-MONKEY; CEREBRAL-CORTEX; VISUAL-CORTEX; PLASTICITY; NEOCORTEX; MORPHOLOGY;
D O I
10.3389/fnana.2017.00011
中图分类号
R602 [外科病理学、解剖学]; R32 [人体形态学];
学科分类号
100101 ;
摘要
A key challenge in cortical neuroscience is to gain a comprehensive understanding of how pyramidal neuron heterogeneity across different areas and species underlies the functional specialization of individual neurons, networks, and areas. Comparative studies have been important in this endeavor, providing data relevant to the question of which of the many inherent properties of individual pyramidal neurons are necessary and sufficient for species-specific network and areal function. In this mini review, the importance of pyramidal neuron structural properties for signaling are outlined, followed by a summary of our recent work comparing the structural features of mouse (C57/BL6 strain) and rhesus monkey layer 3 (L3) pyramidal neurons in primary visual and frontal association cortices and their implications for neuronal and areal function. Based on these and other published data, L3 pyramidal neurons plausibly might be considered broadly "generalizable" from one area to another in the mouse neocortex due to their many similarities, but major differences in the properties of these neurons in diverse areas in the rhesus monkey neocortex rules this out in the primate. Further, fundamental differences in the dendritic topology of mouse and rhesus monkey pyramidal neurons highlight the implausibility of straightforward scaling and/or extrapolation from mouse to primate neurons and cortical networks.
引用
收藏
页数:8
相关论文
共 94 条
[1]   Influence of Highly Distinctive Structural Properties on the Excitability of Pyramidal Neurons in Monkey Visual and Prefrontal Cortices [J].
Amatrudo, Joseph M. ;
Weaver, Christina M. ;
Crimins, Johanna L. ;
Hof, Patrick R. ;
Rosene, Douglas L. ;
Luebke, Jennifer I. .
JOURNAL OF NEUROSCIENCE, 2012, 32 (40) :13644-13660
[2]  
[Anonymous], 1964, Neural theory and modeling, DOI DOI 10.7551/MITPRESS/6743.003.0015
[3]  
[Anonymous], 1995, HIST NEUROSCIENCE
[4]   Passive dendritic integration heavily affects spiking dynamics of recurrent networks [J].
Ascoli, GA .
NEURAL NETWORKS, 2003, 16 (5-6) :657-663
[5]   Density and morphology of dendritic spines in mouse neocortex [J].
Ballesteros-Yáñez, I ;
Benavides-Piccione, R ;
Elston, GN ;
Yuste, R ;
DeFelipe, J .
NEUROSCIENCE, 2006, 138 (02) :403-409
[6]   General Cortical and Special Prefrontal Connections: Principles from Structure to Function [J].
Barbas, Helen .
ANNUAL REVIEW OF NEUROSCIENCE, VOL 38, 2015, 38 :269-289
[7]   HIGH-RESOLUTION IMMUNOGOLD LOCALIZATION OF AMPA TYPE GLUTAMATE-RECEPTOR SUBUNITS AT SYNAPTIC AND NONSYNAPTIC SITES IN RAT HIPPOCAMPUS [J].
BAUDE, A ;
NUSSER, Z ;
MOLNAR, E ;
MCILHINNEY, RAJ ;
SOMOGYI, P .
NEUROSCIENCE, 1995, 69 (04) :1031-1055
[8]   Targeted dendrotomy reveals active and passive contributions of the dendritic tree to synaptic integration and neuronal output [J].
Bekkers, John M. ;
Haeusser, Michael .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (27) :11447-11452
[9]   Balancing structure and function at hippocampal dendritic spines [J].
Bourne, Jennifer N. ;
Harris, Kristen M. .
ANNUAL REVIEW OF NEUROSCIENCE, 2008, 31 :47-67
[10]  
Conel J. L., 1967, CORTEX 6 YEAR OLD CH