ArticleFrontiers in physiology2012
Detrended fluctuation analysis: a scale-free view on neuronal oscillations.
Article in Frontiers in physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 231 papers, 2 of them syntheses that pooled it.
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Who cites it
231 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Is criticality a unified setpoint of brain function?Neuron · 2025Pooled it
- Aperiodic and Hurst EEG exponents across early human brain development: A systematic review.Developmental cognitive neuroscience · 2024Pooled it
- Preventing slowing down of alpha rhythms in stroke patients through modulation of cortical excitatory-inhibitory balance: a randomized controlled trial.Journal of neuroengineering and rehabilitation · 2026Trial
- Temporal structure of brain oscillations predicts learned nocebo responses to pain.Scientific reports · 2021Trial
- Negative mood and mind wandering increase long-range temporal correlations in attention fluctuations.PloS one · 2018Trial
- Brain criticality and advanced meditation "cessation" events: An intensively sampled electroencephalography case study.IBRO neuroscience reports · 2026Article
- Impact of Recording Conditions and Feature Fusion on Dementia Classification Using Spectral, Entropy, and Complexity EEG Features.Entropy (Basel, Switzerland) · 2026Article
- Altered Scale-Free Dynamics of Spontaneous Brain Activity in Post-Traumatic Stress Disorder: Relationship to Impaired Functional Connectivity.Brain sciences · 2026Article
- Cognitive Processing and EEG Complexity.Entropy (Basel, Switzerland) · 2026Review
- DFAα1 as an intensity-sensitive biomarker for exercise prescription: a prospective cross-sectional study in healthy young adults.European journal of applied physiology · 2026Article
- Shared spatial and temporal principles govern connectome dynamics across timescales.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A-phase Occurrence During Sleep in the Deep Brain Recordings: Multiscale-Entropy and Multiscale-DFA Analysis.Brain topography · 2026Article
- Time-Frequency, Complexity, and Fractal Analyses of Hemoglobin and Deoxyhemoglobin Responses to Quantify Mechanisms of Actions of Cupping Therapy.Entropy (Basel, Switzerland) · 2026Article
- Complexity matching: adaptive strong anticipation enhances motor coordination.Experimental brain research · 2026Article
- Detrended fluctuation analysis of amygdala-hippocampal beta synchrony reveals network rigidity in depression associated with temporal lobe epilepsy.Journal of neural engineering · 2026Article
- Capturing sex differences in spontaneous autonomic fluctuations of resting heart rate using a similarity graph theory approach.Biology of sex differences · 2026Article
- Qualitative EEG abnormalities in ASD reflect inhibition-dominated brain dynamics.Scientific reports · 2026Article
- Validity of an open-source mobile app to measure fractal correlation properties of heart rate variability during exercise.European journal of applied physiology · 2026Article
- A curated dataset of multi-channel TV program schedules for optimization and benchmarking.Data in brief · 2026Article
- Hierarchical whole-brain modeling of critical synchronization dynamics in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
171 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors.
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Abstract
Recent years of research have shown that the complex temporal structure of ongoing oscillations is scale-free and characterized by long-range temporal correlations. Detrended fluctuation analysis (DFA) has proven particularly useful, revealing that genetic variation, normal development, or disease can lead to differences in the scale-free amplitude modulation of oscillations. Furthermore, amplitude dynamics is remarkably independent of the time-averaged oscillation power, indicating that the DFA provides unique insights into the functional organization of neuronal systems. To facilitate understanding and encourage wider use of scaling analysis of neuronal oscillations, we provide a pedagogical explanation of the DFA algorithm and its underlying theory. Practical advice on applying DFA to oscillations is supported by MATLAB scripts from the Neurophysiological Biomarker Toolbox (NBT) and links to the NBT tutorial website http://www.nbtwiki.net/. Finally, we provide a brief overview of insights derived from the application of DFA to ongoing oscillations in health and disease, and discuss the putative relevance of criticality for understanding the mechanism underlying scale-free modulation of oscillations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.