Abstract
| Language | English |
|---|---|
| Title of host publication | The Fractal geometry of the brain |
| Editors | Antonio Di Ieva |
| Place of Publication | New York |
| Publisher | Springer, Springer Nature |
| Pages | 189-198 |
| Number of pages | 10 |
| ISBN (Print) | 9781493939954 |
| DOIs | |
| Publication status | Published - 2016 |
Publication series
| Name | Springer Series in Computational Neuroscience |
|---|---|
| Publisher | Springer |
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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
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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 proceeding › Chapter › Research
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 -