Fractal analysis in clinical neurosciences

an overview

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Over the last years, fractals have entered into the realms of clinical neurosciences. The whole brain and its components (i.e., neurons and microglia) have been studied as fractal objects, and even more relevant, the fractal-based quantification of the geometrical complexity of histopathological and neuroradiological images as well as neurophysiopathological time series has suggested the existence of a gradient in the patterns representation of neurological diseases. Computational fractal-based parameters have been suggested as potential diagnostic and prognostic biomarkers in different brain diseases, including brain tumors, neurodegeneration, epilepsy, demyelinating diseases, cerebrovascular malformations, and psychiatric disorders as well. This chapter and the entire third section of this book are focused on practical applications of computational fractal-based analysis into the clinical neurosciences, namely, neurology and neuropsychiatry, neuroradiology and neurosurgery, neuropathology, neuro-oncology and neurorehabilitation, and neuro-ophthalmology and cognitive neurosciences, with special emphasis on the translation of the fractal dimension as clinical biomarker useful from bench to bedside.
Original languageEnglish
Title of host publicationThe Fractal geometry of the brain
EditorsAntonio Di Ieva
Place of PublicationNew York
PublisherSpringer, Springer Nature
Pages189-198
Number of pages10
ISBN (Print)9781493939954
DOIs
Publication statusPublished - 2016

Publication series

NameSpringer Series in Computational Neuroscience
PublisherSpringer

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Keywords

  • biomarker
  • classifier
  • neuroimaging
  • neurology
  • neuro-ophthalmology
  • cognitive neurosciences
  • psychiatry
  • fractal analysis
  • fractal dimension
  • brain tumor
  • epilepsy
  • neurodegeneration
  • aneurysm
  • arteriovenous malformation
  • electroencephalography

Cite this

Di Ieva, A. (2016). Fractal analysis in clinical neurosciences: an overview. In A. Di Ieva (Ed.), The Fractal geometry of the brain (pp. 189-198). (Springer Series in Computational Neuroscience). New York: Springer, Springer Nature. https://doi.org/10.1007/978-1-4939-3995-4_12