Assimilating seizure dynamics.

Observability of a dynamical system requires an understanding of its state-the collective values of its variables. However, existing techniques are too limited to measure all but a small fraction of the physical variables and parameters of neuronal networks. We constructed models of the biophysical...

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Autores principales: Ghanim Ullah, Steven J Schiff
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2010
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Acceso en línea:https://doaj.org/article/147e5445e86e4673a48db1351e989bc6
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spelling oai:doaj.org-article:147e5445e86e4673a48db1351e989bc62021-12-02T19:58:26ZAssimilating seizure dynamics.1553-734X1553-735810.1371/journal.pcbi.1000776https://doaj.org/article/147e5445e86e4673a48db1351e989bc62010-05-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20463875/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Observability of a dynamical system requires an understanding of its state-the collective values of its variables. However, existing techniques are too limited to measure all but a small fraction of the physical variables and parameters of neuronal networks. We constructed models of the biophysical properties of neuronal membrane, synaptic, and microenvironment dynamics, and incorporated them into a model-based predictor-controller framework from modern control theory. We demonstrate that it is now possible to meaningfully estimate the dynamics of small neuronal networks using as few as a single measured variable. Specifically, we assimilate noisy membrane potential measurements from individual hippocampal neurons to reconstruct the dynamics of networks of these cells, their extracellular microenvironment, and the activities of different neuronal types during seizures. We use reconstruction to account for unmeasured parts of the neuronal system, relating micro-domain metabolic processes to cellular excitability, and validate the reconstruction of cellular dynamical interactions against actual measurements. Data assimilation, the fusing of measurement with computational models, has significant potential to improve the way we observe and understand brain dynamics.Ghanim UllahSteven J SchiffPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 6, Iss 5, p e1000776 (2010)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Ghanim Ullah
Steven J Schiff
Assimilating seizure dynamics.
description Observability of a dynamical system requires an understanding of its state-the collective values of its variables. However, existing techniques are too limited to measure all but a small fraction of the physical variables and parameters of neuronal networks. We constructed models of the biophysical properties of neuronal membrane, synaptic, and microenvironment dynamics, and incorporated them into a model-based predictor-controller framework from modern control theory. We demonstrate that it is now possible to meaningfully estimate the dynamics of small neuronal networks using as few as a single measured variable. Specifically, we assimilate noisy membrane potential measurements from individual hippocampal neurons to reconstruct the dynamics of networks of these cells, their extracellular microenvironment, and the activities of different neuronal types during seizures. We use reconstruction to account for unmeasured parts of the neuronal system, relating micro-domain metabolic processes to cellular excitability, and validate the reconstruction of cellular dynamical interactions against actual measurements. Data assimilation, the fusing of measurement with computational models, has significant potential to improve the way we observe and understand brain dynamics.
format article
author Ghanim Ullah
Steven J Schiff
author_facet Ghanim Ullah
Steven J Schiff
author_sort Ghanim Ullah
title Assimilating seizure dynamics.
title_short Assimilating seizure dynamics.
title_full Assimilating seizure dynamics.
title_fullStr Assimilating seizure dynamics.
title_full_unstemmed Assimilating seizure dynamics.
title_sort assimilating seizure dynamics.
publisher Public Library of Science (PLoS)
publishDate 2010
url https://doaj.org/article/147e5445e86e4673a48db1351e989bc6
work_keys_str_mv AT ghanimullah assimilatingseizuredynamics
AT stevenjschiff assimilatingseizuredynamics
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