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

dc.creatorCharlesworth, Paul
dc.creatorCotterill, Ellese
dc.creatorMorton, Andrew
dc.creatorGrant, Seth GN
dc.creatorEglen, Stephen John
dc.date.accessioned2014-12-11
dc.date.accessioned2018-11-24T23:17:58Z
dc.date.available2015-02-18T14:23:46Z
dc.date.available2018-11-24T23:17:58Z
dc.date.issued2015-01-28
dc.identifierhttps://www.repository.cam.ac.uk/handle/1810/246869
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/123456789/3202
dc.description.abstractBackground: 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.
dc.languageen
dc.publisherSpringer
dc.publisherNeural Development
dc.rightshttp://creativecommons.org/licenses/by/2.0/uk/
dc.rightsAttribution 2.0 UK: England & Wales
dc.subjectMultielectrode array
dc.subjectSpontaneous activity
dc.subjectCortex
dc.subjectHippocampus
dc.subjectPrincipal component analysis
dc.subjectSupport vector machine
dc.subjectClassification tree
dc.titleQuantitative differences in developmental profiles of spontaneous activity in cortical and hippocampal cultures
dc.typeArticle


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