Time dispersion analysis of features as a tool for investigating plant electrophysiology: A case study using moderate magnetic field in bean plants.
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| Název: | Time dispersion analysis of features as a tool for investigating plant electrophysiology: A case study using moderate magnetic field in bean plants. |
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| Autoři: | de Carvalho Oliveira TF; Laboratory of Plant Cognition and Electrophysiology, Department of Botany, Institute of Biology, Federal University of Pelotas, Pelotas, RS, Brazil. fthicar@gmail.com., Costa ÁVL; Mamirauá Sustainable Development Institute, Agroecosystems Management Program, Tefé, Amazonas, Brazil., Posso DA; Laboratory of Plant Cognition and Electrophysiology, Department of Botany, Institute of Biology, Federal University of Pelotas, Pelotas, RS, Brazil., Reissig GN; Laboratory of Entomology, Brazilian Agricultural Research Corporation, Embrapa Clima Temperado, Pelotas, Brazil., Souza GM; Laboratory of Plant Cognition and Electrophysiology, Department of Botany, Institute of Biology, Federal University of Pelotas, Pelotas, RS, Brazil. |
| Zdroj: | Journal of biological physics [J Biol Phys] 2025 Nov 14; Vol. 51 (1), pp. 28. Date of Electronic Publication: 2025 Nov 14. |
| Způsob vydávání: | Journal Article |
| Jazyk: | English |
| Informace o časopise: | Publisher: Kluwer Country of Publication: Netherlands NLM ID: 0417731 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-0689 (Electronic) Linking ISSN: 00920606 NLM ISO Abbreviation: J Biol Phys Subsets: MEDLINE |
| Imprint Name(s): | Publication: Dordrecht : Kluwer Original Publication: Blacksburg, Va., University Publications. |
| Výrazy ze slovníku MeSH: | Magnetic Fields* , Phaseolus*/physiology , Electrophysiological Phenomena*, Time Factors |
| Abstrakt: | Competing Interests: Declarations. Conflict of interest: The authors declare no competing interests. Electrophysiological signals in plants, which are a part of the plant electrome, are essential for mediating responses to environmental stimuli but exhibit complex, non-linear dynamics that challenge conventional analyses. Here, we introduce the time dispersion analysis of features (TDAF), a novel method that preserves temporal integrity by assessing the dispersion of signal features over time by segmenting time series and evaluating the temporal evolution of extracted features. Unlike traditional methods, such as moving averages or stationarity-based models, that summarize the signal or lose temporal information, TDAF analyzes the evolution of features over time, maintaining their dynamic structure. We applied TDAF to investigate the effects of a moderate static magnetic field (~ 0.4 mT) on the electrome of common bean plants (Phaseolus vulgaris L.). Signals from 30 plants were recorded before and during magnetic field exposure, generating time series with 225,000 points each. Features such as approximate entropy (ApEn), detrended fluctuation analysis (DFA), fast Fourier transform (FFT), power spectral density (PSD), and average band power (ABP) were analyzed. Our results suggest that magnetic field exposure tends to reduce signal amplitude but preserves the structural complexity and temporal patterns of the electrome, indicating modulation without loss of information processing capacity. TDAF proved effective for detecting subtle physiological changes and offers a valuable tool for advancing plant electrophysiology, bioelectromagnetic research, and studies involving complex and long-duration biological signals. (© 2025. The Author(s), under exclusive licence to Springer Nature B.V.) |
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| Grant Information: | 001 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; 401722/2016-3 Conselho Nacional de Desenvolvimento Científico e Tecnológico |
| Contributed Indexing: | Keywords: Approximate entropy; Detrended fluctuation analysis; Electrome; Non-linear dynamics; Power spectral density |
| Entry Date(s): | Date Created: 20251114 Date Completed: 20251115 Latest Revision: 20251117 |
| Update Code: | 20251117 |
| PubMed Central ID: | PMC12618745 |
| DOI: | 10.1007/s10867-025-09692-8 |
| PMID: | 41239061 |
| Databáze: | MEDLINE |
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