ArticleFrontiers in human neuroscience2021
Multifractal Functional Connectivity Analysis of Electroencephalogram Reveals Reorganization of Brain Networks in a Visual Pattern Recognition Paradigm.
Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Global scale-free brain activity as a potential neural signature of visual information processing in aging.Frontiers in aging neuroscience · 2026Article
- Multifractal Cascade Modeling Reveals Fundamental Limits of Current Neuroimaging Strategies.Sensors (Basel, Switzerland) · 2025Article
- The Vibrational Signature of Alzheimer's Disease: A Computational Approach Based on Sonification, Laser Projection, and Computer Vision Analysis.Biomimetics (Basel, Switzerland) · 2025Article
- Resting-state fractal brain connectivity is associated with impaired cognitive performance in healthy aging.GeroScience · 2024Article
- Fingerprints of decreased cognitive performance on fractal connectivity dynamics in healthy aging.GeroScience · 2024Article
- Postural control in gymnasts: anisotropic fractal scaling reveals proprioceptive reintegration in vestibular perturbation.Frontiers in network physiology · 2024Article
- Multiscale detrended cross-correlation coefficient: estimating coupling in non-stationary neurophysiological signals.Frontiers in neuroscience · 2024Article
- Scale-Free Functional Brain Networks Exhibit Increased Connectivity, Are More Integrated and Less Segregated in Patients with Parkinson's Disease following Dopaminergic Treatment.Fractal and fractional · 2022Article
- Real-Time Algorithm for Detrended Cross-Correlation Analysis of Long-Range Coupled Processes.Frontiers in physiology · 2022Article
- Multiple-Resampling Cross-Spectral Analysis: An Unbiased Tool for Estimating Fractal Connectivity With an Application to Neurophysiological Signals.Frontiers in physiology · 2022Article
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Authors and funding
8 authors.
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Abstract
The human brain consists of anatomically distant neuronal assemblies that are interconnected via a myriad of synapses. This anatomical network provides the neurophysiological wiring framework for functional connectivity (FC), which is essential for higher-order brain functions. While several studies have explored the scale-specific FC, the scale-free (i.e., multifractal) aspect of brain connectivity remains largely neglected. Here we examined the brain reorganization during a visual pattern recognition paradigm, using bivariate focus-based multifractal (BFMF) analysis. For this study, 58 young, healthy volunteers were recruited. Before the task, 3-3 min of resting EEG was recorded in eyes-closed (EC) and eyes-open (EO) states, respectively. The subsequent part of the measurement protocol consisted of 30 visual pattern recognition trials of 3 difficulty levels graded as Easy, Medium, and Hard. Multifractal FC was estimated with BFMF analysis of preprocessed EEG signals yielding two generalized Hurst exponent-based multifractal connectivity endpoint parameters,
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