Quantitative differences in developmental profiles of spontaneous activity in cortical and hippocampal cultures

被引:59
作者
Charlesworth, Paul [1 ]
Cotterill, Ellese [2 ]
Morton, Andrew [1 ]
Grant, Seth G. N. [3 ,4 ]
Eglen, Stephen J. [2 ]
机构
[1] Wellcome Trust Sanger Inst, Genes Cognit Programme, Hinxton CB10 1SA, England
[2] Univ Cambridge, Cambridge Computat Biol Inst, Cambridge CB3 0WA, England
[3] Univ Edinburgh, Ctr Clin Brain Sci, Edinburgh EH16 4SB, Midlothian, Scotland
[4] Univ Edinburgh, Ctr Neuroregenerat, Edinburgh EH16 4SB, Midlothian, Scotland
来源
NEURAL DEVELOPMENT | 2015年 / 10卷
基金
英国生物技术与生命科学研究理事会; 英国工程与自然科学研究理事会; 英国惠康基金;
关键词
Multielectrode array; Spontaneous activity; Cortex; Hippocampus; Principal component analysis; Support vector machine; Classification tree; NEURAL ACTIVITY; SPINDLE BURSTS; NETWORKS; DYNAMICS;
D O I
10.1186/s13064-014-0028-0
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Neural circuits can spontaneously generate complex spatiotemporal firing patterns during development. This spontaneous activity is thought to help guide development of the nervous system. In this study, we had two aims. First, to characterise the changes in spontaneous activity in cultures of developing networks of either hippocampal or cortical neurons dissociated from mouse. Second, to assess whether there are any functional differences in the patterns of activity in hippocampal and cortical networks. Results: We used multielectrode arrays to record the development of spontaneous activity in cultured networks of either hippocampal or cortical neurons every 2 or 3 days for the first month after plating. Within a few days of culturing, networks exhibited spontaneous activity. This activity strengthened and then stabilised typically around 21 days in vitro. We quantified the activity patterns in hippocampal and cortical networks using 11 features. Three out of 11 features showed striking differences in activity between hippocampal and cortical networks: (1) interburst intervals are less variable in spike trains from hippocampal cultures; (2) hippocampal networks have higher correlations and (3) hippocampal networks generate more robust theta-bursting patterns. Machine-learning techniques confirmed that these differences in patterning are sufficient to classify recordings reliably at any given age as either hippocampal or cortical networks. Conclusions: Although cultured networks of hippocampal and cortical networks both generate spontaneous activity that changes over time, at any given time we can reliably detect differences in the activity patterns. We anticipate that this quantitative framework could have applications in many areas, including neurotoxicity testing and for characterising the phenotype of different mutant mice. All code and data relating to this report are freely available for others to use.
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页数:10
相关论文
共 32 条
[1]  
[Anonymous], NEUROEXPLORER MAN
[2]  
[Anonymous], BMC NEUROSCI
[3]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300
[4]   Mechanisms underlying spontaneous patterned activity in developing neural circuits [J].
Blankenship, Aaron G. ;
Feller, Marla B. .
NATURE REVIEWS NEUROSCIENCE, 2010, 11 (01) :18-29
[5]   Theta oscillations in the hippocampus [J].
Buzsáki, G .
NEURON, 2002, 33 (03) :325-340
[6]   CellProfiler: image analysis software for identifying and quantifying cell phenotypes [J].
Carpenter, Anne E. ;
Jones, Thouis Ray ;
Lamprecht, Michael R. ;
Clarke, Colin ;
Kang, In Han ;
Friman, Ola ;
Guertin, David A. ;
Chang, Joo Han ;
Lindquist, Robert A. ;
Moffat, Jason ;
Golland, Polina ;
Sabatini, David M. .
GENOME BIOLOGY, 2006, 7 (10)
[7]   "Slow Activity Transients" in Infant Rat Visual Cortex: A Spreading Synchronous Oscillation Patterned by Retinal Waves [J].
Colonnese, Matthew T. ;
Khazipov, Rustem .
JOURNAL OF NEUROSCIENCE, 2010, 30 (12) :4325-4337
[8]   Detecting Pairwise Correlations in Spike Trains: An Objective Comparison of Methods and Application to the Study of Retinal Waves [J].
Cutts, Catherine S. ;
Eglen, Stephen J. .
JOURNAL OF NEUROSCIENCE, 2014, 34 (43) :14288-14303
[9]   A data repository and analysis framework for spontaneous neural activity recordings in developing retina [J].
Eglen, Stephen John ;
Weeks, Michael ;
Jessop, Mark ;
Simonotto, Jennifer ;
Jackson, Tom ;
Sernagor, Evelyne .
GIGASCIENCE, 2014, 3
[10]   Dynamics and effective topology underlying synchronization in networks of cortical neurons [J].
Eytan, Danny ;
Marom, Shimon .
JOURNAL OF NEUROSCIENCE, 2006, 26 (33) :8465-8476