dc.creator | Charlesworth, Paul | |
dc.creator | Cotterill, Ellese | |
dc.creator | Morton, Andrew | |
dc.creator | Grant, Seth GN | |
dc.creator | Eglen, Stephen John | |
dc.date.accessioned | 2014-12-11 | |
dc.date.accessioned | 2018-11-24T23:17:58Z | |
dc.date.available | 2015-02-18T14:23:46Z | |
dc.date.available | 2018-11-24T23:17:58Z | |
dc.date.issued | 2015-01-28 | |
dc.identifier | https://www.repository.cam.ac.uk/handle/1810/246869 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/123456789/3202 | |
dc.description.abstract | 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. | |
dc.language | en | |
dc.publisher | Springer | |
dc.publisher | Neural Development | |
dc.rights | http://creativecommons.org/licenses/by/2.0/uk/ | |
dc.rights | Attribution 2.0 UK: England & Wales | |
dc.subject | Multielectrode array | |
dc.subject | Spontaneous activity | |
dc.subject | Cortex | |
dc.subject | Hippocampus | |
dc.subject | Principal component analysis | |
dc.subject | Support vector machine | |
dc.subject | Classification tree | |
dc.title | Quantitative differences in developmental profiles of spontaneous activity in cortical and hippocampal cultures | |
dc.type | Article | |