ReviewHuman brain mapping2022
Monofractal analysis of functional magnetic resonance imaging: An introductory review.
Review in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- A Wavelet-Based Framework for Mapping Long Memory in Resting-State fMRI: Age-Related Changes in the Hippocampus From the ADHD-200 Dataset.Human brain mapping · 2026Article
- Fractal Analysis of Brain Activity During Risky Drinking in Adolescents and Young Adults.Brain sciences · 2025Article
- Resting-State Functional MRI Analyses for Brain Activity Characterization: A Narrative Review of Features and Methods.The European journal of neuroscience · 2025Review
- Using the excitation/inhibition ratio to optimize the classification of autism and schizophrenia.Translational psychiatry · 2025Article
- Temporal Lobe Epilepsy Perturbs the Brain-Wide Excitation-Inhibition Balance: Associations with Microcircuit Organization, Clinical Parameters, and Cognitive Dysfunction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Temporal complexity of the BOLD-signal in preterm versus term infants.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Individual characteristics outperform resting-state fMRI for the prediction of behavioral phenotypes.Communications biology · 2024Article
- Brain effect mechanism of lever positioning manipulation on LDH analgesia based on multimodal MRI: a study protocol.BMC complementary medicine and therapies · 2024Article
- Abnormal functional hubs in migraine patients: a resting-state MRI analysis about voxel-wise degree centrality.Journal of oral & facial pain and headache · 2024Article
- Decreased long-range temporal correlations in the resting-state functional magnetic resonance imaging blood-oxygen-level-dependent signal reflect motor sequence learning up to 2 weeks following training.Human brain mapping · 2024Article
- Increased regional Hurst exponent reflects response inhibition related neural complexity alterations in pediatric bipolar disorder patients during an emotional Go-Nogo task.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Multifractal long-range dependence pattern of functional magnetic resonance imaging in the human brain at rest.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Fractal complexity of daily physical activity and cognitive function in a midlife cohort.Scientific reports · 2023Article
- A state-of-the-art review of functional magnetic resonance imaging technique integrated with advanced statistical modeling and machine learning for primary headache diagnosis.Frontiers in human neuroscience · 2023Review
- Wavelet-based approach for diagnosing attention deficit hyperactivity disorder (ADHD).Scientific reports · 2022Article
- On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI.Entropy (Basel, Switzerland) · 2022Article
- Does the brain's E:I balance really shape long-range temporal correlations? Lessons learned from 3T MRI.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The following review will aid readers in providing an overview of scale-free dynamics and monofractal analysis, as well as its applications and potential in functional magnetic resonance imaging (fMRI) neuroscience and clinical research. Like natural phenomena such as the growth of a tree or crashing ocean waves, the brain expresses scale-invariant, or fractal, patterns in neural signals that can be measured. While neural phenomena may represent both monofractal and multifractal processes and can be quantified with many different interrelated parameters, this review will focus on monofractal analysis using the Hurst exponent (H). Monofractal analysis of fMRI data is an advanced analysis technique that measures the complexity of brain signaling by quantifying its degree of scale-invariance. As such, the H value of the blood oxygenation level-dependent (BOLD) signal specifies how the degree of correlation in the signal may mediate brain functions. This review presents a brief overview of the theory of fMRI monofractal analysis followed by notable findings in the field. Through highlighting the advantages and challenges of the technique, the article provides insight into how to best conduct fMRI fractal analysis and properly interpret the findings with physiological relevance. Furthermore, we identify the future directions necessary for its progression towards impactful functional neuroscience discoveries and widespread clinical use. Ultimately, this presenting review aims to build a foundation of knowledge among readers to facilitate greater understanding, discussion, and use of this unique yet powerful imaging analysis technique.
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