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 Reports11(1).​ DOI: https://doi.org/10.1038/s41598-021-83331-9 

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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

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