Fractal Dimension Analysis in Brain Function: From Basic Mechanisms to Clinical Frontiers
A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Life Science, Biophysics".
Deadline for manuscript submissions: 1 May 2026 | Viewed by 38
Special Issue Editor
Interests: transcranial electrical stimulation (tES); independent component analysis (ICA); functional source separation (FSS); resting-state networks (RSN); EEG; fMRI; MEG; fractal analysis (FA); brain–computer interface (BCI)
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Special Issue Information
Dear Colleagues,
Fractal dimension (FD) analysis is redefining the way we understand brain functions, providing a powerful lens through which to explore the dynamic, intricate, and often chaotic world of neural activity. This Special Issue of Fractal and Fractional seeks high-quality original research, comprehensive reviews, and insightful perspectives that demonstrate the versatility and impact of FD analysis in both basic neuroscience and clinical applications.
At the heart of brain functions is a delicate balance between order and chaos, a state known as criticality, which is thought to optimise processing, adaptability, and resilience. FD analysis provides a unique quantitative method of capturing this balance by measuring the complexity, regularity, and predictability of neural signals. From traditional modalities such as EEG, MEG, and fMRI to advanced multimodal setups such as TMS-EEG, the FD is emerging as a key biomarker with broad translational potential.
This Special Issue highlights the latest advances in FD-based methods and their application in cutting-edge technologies such as brain–computer interfaces (BCIs) and non-invasive brain stimulation (NIBS), including their use in diagnostics, therapy, and neurorehabilitation. By bridging theory, computation, and clinical practice, this collection aims to accelerate innovation at the intersection of brain complexity and real-world impacts.
Prof. Dr. Camillo Porcaro
Guest Editor
Manuscript Submission Information
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Keywords
- innovative methods for FD extraction and analysis in neural signals
- FD-driven improvements in BCI design and decoding strategies
- personalised neuromodulation by tailoring NIBS interventions using FD metrics
- FD as a non-invasive biomarker for early diagnosis and monitoring of neurological and psychiatric disorders
- multimodal and cross-modal applications combining FD with EEG, MEG, fMRI, and TMS
- new theoretical frameworks linking brain criticality, fractal geometry, and functional connectivity
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