BookAntonio Di Ieva, editor.
Contents:
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
Fractal Dimension Studies of 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
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.