Reproducing asymmetrical spine shape fluctuations in a model of actin dynamics predicts self-organized criticality
2021-02-17 | journal article; research paper. A publication with affiliation to the University of Göttingen.
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Reproducing asymmetrical spine shape fluctuations in a model of actin dynamics predicts self-organized criticality
Bonilla-Quintana, M.; Wörgötter, F.; D’Este, E.; Tetzlaff, C. & Fauth, M. (2021)
Scientific Reports, 11(1). DOI: https://doi.org/10.1038/s41598-021-83331-9
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Details
- Authors
- Bonilla-Quintana, Mayte; Wörgötter, Florentin; D’Este, Elisa; Tetzlaff, Christian; Fauth, Michael
- Abstract
- Abstract Dendritic spines change their size and shape spontaneously, but the function of this remains unclear. Here, we address this in a biophysical model of spine fluctuations, which reproduces experimentally measured spine fluctuations. For this, we characterize size- and shape fluctuations from confocal microscopy image sequences using autoregressive models and a new set of shape descriptors derived from circular statistics. Using the biophysical model, we extrapolate into longer temporal intervals and find the presence of 1/f noise. When investigating its origins, the model predicts that the actin dynamics underlying shape fluctuations self-organizes into a critical state, which creates a fine balance between static actin filaments and free monomers. In a comparison against a non-critical model, we show that this state facilitates spine enlargement, which happens after LTP induction. Thus, ongoing spine shape fluctuations might be necessary to react quickly to plasticity events.
- Issue Date
- 17-February-2021
- Journal
- Scientific Reports
- Project
- SFB 1286: Quantitative Synaptologie
SFB 1286 | C03: Modellierung der Fluktuation dendritischer Dornenfortsätze - Organization
- III. Physikalisches Institut - Biophysik
- Working Group
- RG D’Este
RG Tetzlaff (Computational Neuroscience - Learning and Memory)
RG Wörgötter (Computational Neuroscience) - External URL
- https://sfb1286.uni-goettingen.de/literature/publications/108
- eISSN
- 2045-2322
- Language
- English
- Sponsor
- Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
Projekt DEAL