Fractal analysis in clinical neurosciences: an overview

Research output: Chapter in Book/Report/Conference proceedingChapterResearch

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.
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

Fingerprint

Fractals
Neurosciences
Biomarkers
Neuropsychiatry
Neurosurgery
Microglia
Brain Diseases
Demyelinating Diseases
Ophthalmology
Neurology
Brain Neoplasms
Psychiatry
Epilepsy
Neurons
Brain

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
Di Ieva, Antonio. / Fractal analysis in clinical neurosciences : an overview. The Fractal geometry of the brain. editor / Antonio Di Ieva. New York : Springer, Springer Nature, 2016. pp. 189-198 (Springer Series in Computational Neuroscience).
@inbook{e1de084dbcaa43e0b088d3a9afb22e64,
title = "Fractal analysis in clinical neurosciences: an overview",
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.",
keywords = "biomarker, classifier, neuroimaging, neurology, neuro-ophthalmology, cognitive neurosciences, psychiatry, fractal analysis, fractal dimension, brain tumor, epilepsy, neurodegeneration, aneurysm, arteriovenous malformation, electroencephalography",
author = "{Di Ieva}, Antonio",
year = "2016",
doi = "10.1007/978-1-4939-3995-4_12",
language = "English",
isbn = "9781493939954",
series = "Springer Series in Computational Neuroscience",
publisher = "Springer, Springer Nature",
pages = "189--198",
editor = "{Di Ieva}, Antonio",
booktitle = "The Fractal geometry of the brain",
address = "United States",

}

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

Fractal analysis in clinical neurosciences : an overview. / Di Ieva, Antonio.

The Fractal geometry of the brain. ed. / Antonio Di Ieva. New York : Springer, Springer Nature, 2016. p. 189-198 (Springer Series in Computational Neuroscience).

Research output: Chapter in Book/Report/Conference proceedingChapterResearch

TY - CHAP

T1 - Fractal analysis in clinical neurosciences

T2 - an overview

AU - Di Ieva, Antonio

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - biomarker

KW - classifier

KW - neuroimaging

KW - neurology

KW - neuro-ophthalmology

KW - cognitive neurosciences

KW - psychiatry

KW - fractal analysis

KW - fractal dimension

KW - brain tumor

KW - epilepsy

KW - neurodegeneration

KW - aneurysm

KW - arteriovenous malformation

KW - electroencephalography

U2 - 10.1007/978-1-4939-3995-4_12

DO - 10.1007/978-1-4939-3995-4_12

M3 - Chapter

SN - 9781493939954

T3 - Springer Series in Computational Neuroscience

SP - 189

EP - 198

BT - The Fractal geometry of the brain

A2 - Di Ieva, Antonio

PB - Springer, Springer Nature

CY - New York

ER -

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