Fractal dimension and clinical neurophysiology fusion to gain a deeper brain signal understanding: A systematic review

S Moaveninejad, S Cauzzo, C Porcaro - Information Fusion, 2025 - Elsevier
Fractal dimension (FD) analysis, a powerful tool that has significantly advanced our
understanding of brain complexity, evolving from basic geometrical characterization to the …

Computational Fractal-Based Neurosurgery

A Di Ieva, JM Davidson, C Russo - Computational Neurosurgery, 2024 - Springer
Fractal geometry is a branch of mathematics used to characterize and quantify the
geometrical complexity of natural objects, with many applications in different fields, including …

Methods and application in fractal analysis of neuroimaging data

C Porcaro, S Diciotti, CR Madan… - Frontiers in Human …, 2024 - frontiersin.org
One paper focuses on investigating the transition to dementia in patients with mild cognitive
impairment (MCI) and leukoaraiosis using MRI data (Marzi et al., 2023). The longitudinal …

Neuro-evolutionary evidence for a universal fractal primate brain shape

Y Wang, K Leiberg, N Kindred, CR Madan, C Poirier… - Elife, 2024 - elifesciences.org
The cerebral cortex displays a bewildering diversity of shapes and sizes across and within
species. Despite this diversity, we present a universal multi-scale description of primate …

Fusion of 3D Convolutional Neural Network and Multifractal Features for High-and Low-grade Glioma Classification using Diffusion Tensor Imaging

S Vidyadharan, BP Rao, P Yogeeswari… - … on Computer Vision …, 2024 - ieeexplore.ieee.org
The classification of gliomas is essential for the accurate diagnosis and effective treatment
planning of brain tumors, particularly in distinguishing between low-grade gliomas (LGG) …

Nonlinear Dynamical Systems and Quantum-Entropy theory in Psychology and Medicine

M Ebrahimi, VI Nesterova - Journal of Health and Rehabilitation …, 2024 - jhrs.almamater.si
Introduction: Nonlinear dynamical systems (NDS) have proven to be valuable tools in
various disciplines, such as psychology, medicine, and biology, where they offer insights …

Analysis of the difference between Alzheimer's disease, mild cognitive impairment and normal people by using fractal dimensions and small-world network

WK Lee, C Hinrichs, YL Chen… - Progress in brain …, 2024 - pubmed.ncbi.nlm.nih.gov
This research examined the distinctions in brain network characteristics among individuals
with Alzheimer's disease (AD), mild cognitive impairment (MCI), and a control group …

[ZITATION][C] and normal people by using

WY Guoh, YT Wua - Medical Image and Signal Analysis in Brain Research, 2024 - Elsevier