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Fractals in the Neurosciences: A Translational Geographical Approach.
Andronache, Ion; Peptenatu, Daniel; Ahammer, Helmut; Radulovic, Marko; Djuricic, Goran J; Jelinek, Herbert F; Russo, Carlo; Di Ieva, Antonio.
Afiliación
  • Andronache I; Research Center for Integrated Analysis and Territorial Management, Faculty of Geography, University of Bucharest, Bucharest, Romania. ion.andronache@geo.unibuc.ro.
  • Peptenatu D; Research Center for Integrated Analysis and Territorial Management, Faculty of Geography, University of Bucharest, Bucharest, Romania.
  • Ahammer H; GSRC, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria.
  • Radulovic M; Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Belgrade, Serbia.
  • Djuricic GJ; Department of Radiology, Faculty of Medicine, University of Belgrade, University Children's Hospital, Belgrade, Serbia.
  • Jelinek HF; Department of Medical Sciences and Biotechnology Center, Khalifa University, Abu Dhabi, UAE.
  • Russo C; Computational NeuroSurgery (CNS) Lab, Faculty of Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia.
  • Di Ieva A; Computational NeuroSurgery (CNS) Lab, Faculty of Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia.
Adv Neurobiol ; 36: 953-981, 2024.
Article en En | MEDLINE | ID: mdl-38468071
ABSTRACT
The chapter presents three new fractal indices (fractal fragmentation index, fractal tentacularity index, and fractal anisotropy index) and normalized Kolmogorov complexity with proven applicability in geographic research, developed by the authors, and the possibility of their future use in neuroscience. The research demonstrates the relevance of fractal analysis in different fields and the basic concepts and principles of fractal geometry being sufficient for the development of models relevant to the studied reality. Also, the research highlighted the need to continue interdisciplinary research based on known fractal indicators, as well as the development of new analysis methods with the translational potential between fields.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fractales Límite: Humans Idioma: En Revista: Adv Neurobiol Año: 2024 Tipo del documento: Article País de afiliación: Rumanía

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fractales Límite: Humans Idioma: En Revista: Adv Neurobiol Año: 2024 Tipo del documento: Article País de afiliación: Rumanía