Overview
- Editors:
-
-
Antonio Di Ieva
-
Computational NeuroSurgery (CNS) Lab & Macquarie Neurosurgery Macquarie Medical School, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, Australia
- Provides a thorough, accessible overview of fractal analysis of the brain
- The only book to provide information on fractal analysis specifically for the neurosciences
- New areas include fractals in magnetoencephalography, deep learning in image analysis, and radiomics for brain MRIs
Access this book
Other ways to access
About this book
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 researchers even if they do not have a mathematical background, and it serves as a valuable tool for teaching the translational applications of computational fractal-based models to both students and scholars. As a consequence of the novel research developed at Professor Di Ieva's laboratory and other centers around the world, the second edition will explore the use of computational fractal-based analysis in many clinical disciplines and different fields of research, including neurology and neurosurgery, neuroanatomy and psychology, magnetoencephalography (MEG), eye-tracking devices (for the fractal computational characterization of “scanpaths”),deep learning in image analysis, radiomics for the characterization of brain MRIs, characterization of neuropsychological and psychiatric diseases and traits, signal complexity analysis in time series, and functional MRI, amongst others.
Table of contents (48 chapters)
-
Fractals in Clinical Neurosciences
-
- Jennilee M. Davidson, Luduan Zhang, Guang H. Yue, Antonio Di Ieva
Pages 329-363
-
- Daniel Pirici, Laurentiu Mogoanta, Daniela Adriana Ion, Samir Kumar-Singh
Pages 365-384
-
-
- Gábor Závodszky, Dániel Gyürki, György Károlyi, István Szikora, György Paál
Pages 397-412
-
- Antonio Di Ieva, Gernot Reishofer
Pages 413-428
-
- Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva
Pages 429-444
-
-
- Syed M. S. Reza, Atiq Islam, Khan M. Iftekharuddin
Pages 469-486
-
- Jacksson Sánchez, Miguel Martín-Landrove
Pages 487-499
-
- Omar S. Al-Kadi, Antonio Di Ieva
Pages 501-524
-
- Antonio Di Ieva, Omar S. Al-Kadi
Pages 525-544
-
-
- Alessandra Lumini, Guilherme Freire Roberto, Leandro Alves Neves, Alessandro Santana Martins, Marcelo Zanchetta do Nascimento
Pages 557-570
-
-
- Marina V. Zueva, Natalia V. Neroeva, Anastasia N. Zhuravleva, Anna N. Bogolepova, Vladislav V. Kotelin, Denis V. Fadeev et al.
Pages 585-637
-
- Camille Fauchon, Hélène Bastuji, Roland Peyron, Luis Garcia-Larrea
Pages 639-657
-
- Karolina Armonaite, Livio Conti, Franca Tecchio
Pages 659-675
-
- Milena Čukić, Elzbieta Olejarzcyk, Maie Bachmann
Pages 677-692
-
- Mohammed Sakib Ihsan Khan, Herbert F. Jelinek
Pages 693-715
-
- Sergio Iglesias-Parro, Maria Felipa Soriano, Antonio José Ibáñez-Molina
Pages 717-732
Editors and Affiliations
-
Computational NeuroSurgery (CNS) Lab & Macquarie Neurosurgery Macquarie Medical School, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, Australia
Antonio Di Ieva
About the editor
Antonio Di Ieva, MD, PhD, FRACS, is Professor of Neurosurgery at Macquarie Medical School, Macquarie University, Sydney, Australia; Professor of Neurosurgery, Ministry of Education, University and Research, Italy; Associate Professor of Neuroanatomy, Medical University of Vienna, Austria; Fellow of the Australian Research Council (ARC) and of the Royal Australasian College of Surgeons (RACS); Consultant Neurosurgeon, Macquarie Neurosurgery, Sydney, Australia; Founder and Head of the Computational NeuroSurgery (CNS) Lab at Macquarie University, Sydney, Australia; Neuroscience & AI Program Leader, Centre for Applied Artificial Intelligence, Macquarie University, Sydney, Australia