ArticleFrontiers in genetics2014
Systems biology and brain activity in neuronal pathways by smart device and advanced signal processing.
Article in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Novel Approaches in Astrocyte Protection: from Experimental Methods to Computational Approaches.Journal of molecular neuroscience : MN · 2016Review
- Multiplex methods provide effective integration of multi-omic data in genome-scale models.BMC bioinformatics · 2016Article
- Control of Multilayer Networks.Scientific reports · 2016Article
- Methods for the integration of multi-omics data: mathematical aspects.BMC bioinformatics · 2016Article
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Authors and funding
3 authors.
Funding
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Abstract
Contemporary biomedicine is producing large amount of data, especially within the fields of "omic" sciences. Nevertheless, other fields, such as neuroscience, are producing similar amount of data by using non-invasive techniques such as imaging, functional magnetic resonance and electroencephalography. Nowadays a big challenge and a new research horizon for Systems Biology is to develop methods to integrate and model this data in an unifying framework capable to disentangle this amazing complexity. In this paper we show how methods from genomic data analysis can be applied to brain data. In particular the concept of pathways, networks and multiplex are discussed. These methods can lead to a clear distinction of various regimes of brain activity. Moreover, this method could be the basis for a Systems Biology analysis of brain data and for the integration of these data in a multivariate and multidimensional framework. The feasibility of this integration is strongly dependent from the feature extraction method used. In our case we used an "alphabet" derived from a multi-resolution analysis that is capable to capture the most relevant information from these complex signals.
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Registered trials
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