ArticleAnnals of biomedical engineering
Membrane potential fluctuations of human T-lymphocytes have fractal characteristics of fractional Brownian motion.
Article in Annals of biomedical engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Scale-free dynamics in the core-periphery topography and task alignment decline from conscious to unconscious states.Communications biology · 2023Article
- An integrate-and-fire model to generate spike trains with long-range dependence.Journal of computational neuroscience · 2018Article
- Relationship in Pacemaker Neurons Between the Long-Term Correlations of Membrane Voltage Fluctuations and the Corresponding Duration of the Inter-Spike Interval.The Journal of membrane biology · 2017Article
- Behavioral and emotional dynamics of two people struggling to reach consensus about a topic on which they disagree.PloS one · 2014Article
- Fractal symmetry of protein interior: what have we learned?Cellular and molecular life sciences : CMLS · 2011Review
- Macrophage ion currents are fit by a fractional model and therefore are a time series with memory.European biophysics journal : EBJ · 2009Article
- Article
- Non-markovian gating of ca(2+)-activated k(+) channels in cultured kidney cells vero. Rescaled range analysis.Journal of biological physics · 1999Article
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Authors and funding
6 authors.
Funding
Abstract
The voltage across the cell membrane of human T-lymphocyte cell lines was recorded by the whole cell patch clamp technique. We studied how this voltage fluctuated in time and found that these fluctuations have fractal characteristics. We used the Hurst rescaled range analysis and the power spectrum of the increments of the voltage (sampled at 0.01-sec intervals) to characterize the time correlations in these voltage fluctuations. Although there was great variability in the shape of these fluctuations from different cells, they all could be represented by the same fractal form. This form displayed two different regimes. At short lags, the Hurst exponent H = 0.76 +/- 0.05 (SD) and, at long lags, H = 0.26 +/- 0.04 (SD). This finding indicated that, over short time intervals, the correlations were persistent (H > 0.5), that is, increases in the membrane voltage were more likely to be followed by additional increases. However, over long time intervals, the correlations were antipersistent (H < 0.5), that is, increases in the membrane voltage were more likely to be followed by voltage decreases. Within each time regime, the increments in the fluctuations had characteristics that were consistent with those of fractional Gaussian noise (fGn), and the membrane voltage as a function of time had characteristics that were consistent with those of fractional Brownian motion (fBm).
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