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Fractal Dimension Studies of the Brain Shape in Aging and Neurodegenerative Diseases
The fractal dimension is a morphometric measure that has been used to investigate the changes of brain shape complexity in aging and... -
Fractal Analysis in Neurodegenerative Diseases
Neurodegenerative diseases are defined by progressive nervous system dysfunction and death of neurons. The abnormal conformation and assembly of... -
Computational Fractal-Based Analysis of MR Susceptibility-Weighted Imaging (SWI) in Neuro-Oncology and Neurotraumatology
Susceptibility-weighted imaging (SWI) is a magnetic resonance imaging (MRI) technique able to depict the magnetic susceptibility produced by... -
Point of Care Testing (POCT) in Psychopathology Using Fractal Analysis and Hilbert Huang Transform of Electroencephalogram (EEG)
Research has shown that relying only on self-reports for diagnosing psychiatric disorders does not yield accurate results at all times. The advances... -
Fractal-Based Morphometrics of Glioblastoma
Morphometrics have been able to distinguish important features of glioblastoma from magnetic resonance imaging (MRI). Using morphometrics computed on... -
Fractal Analysis in MATLAB: A Tutorial for Neuroscientists
MATLAB is one of the software platforms most widely used for scientific computation. MATLAB includes a large set of functions, packages, and... -
Multifractal Analysis in Neuroimaging
The characteristics of biomedical signals are not captured by conventional measures like the average amplitude of the signal. The methodologies... -
Advances in Understanding Fractals in Affective and Anxiety Disorders
In this chapter, we review the research that has applied fractal measures to the study of the most common psychological disorders, that is, affective... -
Fractal Phototherapy in Maximizing Retina and Brain Plasticity
The neuroplasticity potential is reduced with aging and impairs during neurodegenerative diseases and brain and visual system injuries. This limits... -
Fractal Neurodynamics
The neuronal ongoing electrical activity in the brain network, the neurodynamics, reflects the structure and functionality of generating neuronal... -
Fractal Resonance: Can Fractal Geometry Be Used to Optimize the Connectivity of Neurons to Artificial Implants?
In parallel to medical applications, exploring how neurons interact with the artificial interface of implants in the human body can be used to learn... -
A Self-Similarity Logic May Shape the Organization of the Nervous System
From the morphological point of view, the nervous system exhibits a fractal, self-similar geometry at various levels of observations, from single... -
Fractal-Based Analysis of Arteriovenous Malformations (AVMs)
Arteriovenous malformations (AVMs) are cerebrovascular lesions consisting of a pathologic tangle of the vessels characterized by a core termed the... -
Fractals, Pattern Recognition, Memetics, and AI: A Personal Journal in the Computational Neurosurgery
In this chapter, the personal journey of the author in many countries, including Italy, Germany, Austria, the United Kingdom, Switzerland, the United... -
Fractals in the Neurosciences: A Translational Geographical Approach
The chapter presents three new fractal indices (fractal fragmentation index, fractal tentacularity index, and fractal anisotropy index) and... -
Fractal Time Series: Background, Estimation Methods, and Performances
Over the past 40 years, from its classical application in the characterization of geometrical objects, fractal analysis has been progressively... -
Fractals in Neuroimaging
Several natural phenomena can be described by studying their statistical scaling patterns, hence leading to simple geometrical interpretation. In... -
Morphology and Fractal-Based Classifications of Neurons and Microglia in Two and Three Dimensions
Microglia and neurons live physically intertwined, intimately related structurally and functionally in a dynamic relationship in which microglia... -
Deep Learning in Educational Scenario
The relationship between deep learning and human neural networks is speculative due to limited understanding of brain processes. Deep Learning... -
Cyber Warfare and Ethical Frontiers: Elevating Conflict to the Digital Frontline of Global Struggles
Cyberwarfare emerges as a new and pivotal front in global conflict scenarios, extending the dynamics of traditional wars into the digital era. This...