The Fractal Geometry of the Brain

The new edition of the highly popular, The Fractal Geometry of the Brain, reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. It brings an understanding of fractals to clinicians and researc...

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Bibliographic Details
Other Authors: Di Ieva, Antonio (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2024, 2024
Edition:2nd ed. 2024
Series:Advances in Neurobiology
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Fractal Dimension Studiesof the Brain Shape in Aging and Neurodegenerative Diseases
  • Fractal Analysis in Neurodegenerative Diseases
  • Fractal Analysis of the Cerebrovascular System Physiopathology
  • Fractal and Chaos in the Hemodynamics of Intracranial Aneurysms
  • Fractal-based Analysis of Arteriovenous Malformations (AVMs)
  • Fractals in Neuroimaging
  • Computational Fractal-Based Analysis of MR Susceptibility Weighted Imaging (SWI) in Neuro-oncology and neurotraumatology
  • Texture Estimation for Abnormal Tissue Segmentation in Brain MRI
  • Tumor Growth in the Brain: Complexity and Fractality
  • Histological Fractal-based Classification of Brain Tumors
  • Computational Fractal-based Analysis of the Brain Tumors Microvascular Networks
  • Fractal analysis of electroencephalographic time-series (EEG-signals)
  • On Multiscaling of Parkinsonian Rest Tremor Signals and Their Classification
  • Fractals and Electromyograms
  • Fractal analysis in Neuro-ophthalmology
  • Part I. Introduction to Fractal Geometry and its Applications to Neurosciences
  • The Fractal Geometry of the Brain: An Overview
  • 2. Box-Counting Fractal Analysis: A Primer for the Clinician
  • Tenets and Methods of Fractal Analysis (1/f noise)
  • 4. Tenets, Methods and Applications of Multifractal Analysis in Neurosciences
  • Part II. Fractals in Neuroanatomy and Basic Neurosciences
  • Fractals in Neuroanatomy and Basic Neurosciences: An Overview
  • Morphology and Fractal-Based Classifications of Neurons and Microglia
  • The Morphology of the Brain Neurons: Box-counting Method in Quantitative Analysis of 2D Image
  • Neuronal Fractal Dynamics
  • Does a Self-Similarity Logic Shape the Organization of the Nervous System?
  • Fractality of Cranial Sutures
  • The Fractal Geometry of the Human Brain: An Evolutionary Perspective
  • Part III. Fractals in Clinical Neurosciences
  • Fractal Analysis in Clinical Neurosciences: An Overview
  • Fractal Analysis in Neurological Diseases
  • Fractals in Affective and Anxiety Disorders.-Fractal Fluency: An Intimate Relationship Between the Brain and Processing of Fractal Stimuli
  • Part IV. Computational Fractal-Based Neurosciences
  • Computational Fractal-based Neurosciences: An Overview
  • ImageJ in Computational Fractal-based Neuroscience: Pattern Extraction and Translational Research
  • Fractal Analysis in MATLAB: A Tutorial for Neuroscientists
  • Methodology to Increase the Computational Speed to Obtain the Fractal Dimension Using GPU Programming
  • Fractal Electronics as a Generic Interface to Neurons
  • Fractal Geometry meets Computational Intelligence: Future Perspectives