ArticleFrontiers in neuroscience2021
Dynamics of Long-Range Temporal Correlations in Broadband EEG During Different Motor Execution and Imagery Tasks.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 24 citations in OpenAlex.
- Brain criticality and advanced meditation "cessation" events: An intensively sampled electroencephalography case study.IBRO neuroscience reports · 2026Article
- Long-range correlations in alpha-band of electroencephalogram: a nonlinear embedding and detrended fluctuation analysis.Frontiers in neuroinformatics · 2026Article
- Article
- Pediatric cardiac arrest outcome prediction using data-driven machine learning of early quantitative electroencephalogram (qEEG) features.Resuscitation · 2025Article
- Wobble board instability enhances proactive postural control.Chaos, solitons, and fractals · 2025Article
- Assessing Motor Cortical Activity: How Repetitions Impact Motor Execution and Imagery Analysis.Psychophysiology · 2025Article
- Hebbian plasticity induced by temporally coincident BCI enhances post-stroke motor recovery.Scientific reports · 2024Article
- Combining detrended cross-correlation analysis with Riemannian geometry-based classification for improved brain-computer interface performance.Frontiers in neuroscience · 2024Article
- MSATNet: multi-scale adaptive transformer network for motor imagery classification.Frontiers in neuroscience · 2023Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain activity is composed of oscillatory and broadband arrhythmic components; however, there is more focus on oscillatory sensorimotor rhythms to study movement, but temporal dynamics of broadband arrhythmic electroencephalography (EEG) remain unexplored. We have previously demonstrated that broadband arrhythmic EEG contains both short- and long-range temporal correlations that change significantly during movement. In this study, we build upon our previous work to gain a deeper understanding of these changes in the long-range temporal correlation (LRTC) in broadband EEG and contrast them with the well-known LRTC in alpha oscillation amplitude typically found in the literature. We investigate and validate changes in LRTCs during five different types of movements and motor imagery tasks using two independent EEG datasets recorded with two different paradigms-our finger tapping dataset with single self-initiated asynchronous finger taps and publicly available EEG dataset containing cued continuous movement and motor imagery of fists and feet. We quantified instantaneous changes in broadband LRTCs by detrended fluctuation analysis on single trial 2 s EEG sliding windows. The broadband LRTC increased significantly (
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