ArticleFrontiers in neuroscience2017
A Channel Rejection Method for Attenuating Motion-Related Artifacts in EEG Recordings during Walking.
Article in Frontiers in neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- The application of fNIRS in studies on occupational workload: a systematic review.Frontiers in public health · 2025Pooled it
- Quantitative Analysis of EEG Power Spectrum and EMG Median Power Frequency Changes after Continuous Passive Motion Mirror Therapy System.Sensors (Basel, Switzerland) · 2020Trial
- Preprocessing on the Go: Practices in Gait-Related Mobile EEG.Psychophysiology · 2026Review
- ICA-SFrontiers in neuroscience · 2026Article
- Dual-sided EEG electrode signals have varying correlations that depend on movement characteristics.Scientific reports · 2025Article
- The electrocortical activity of elite Rubik's cube athletes while solving the cube.Experimental brain research · 2025Article
- Optimizing EEG ICA decomposition with data cleaning in stationary and mobile experiments.Scientific reports · 2024Article
- Linking Dementia Pathology and Alteration in Brain Activation to Complex Daily Functional Decline During the Preclinical Dementia Stages: Protocol for a Prospective Observational Cohort Study.JMIR research protocols · 2024Observational
- Technological Vanguard: the outstanding performance of the LTY-CNN model for the early prediction of epileptic seizures.Journal of translational medicine · 2024Article
- Electrocortical Dynamics of Usual Walking and the Planning to Step over Obstacles in Parkinson's Disease.Sensors (Basel, Switzerland) · 2023Article
- Methods for motion artifact reduction in online brain-computer interface experiments: a systematic review.Frontiers in human neuroscience · 2023Review
- Integrated 3D motion analysis with functional magnetic resonance neuroimaging to identify neural correlates of lower extremity movement.Journal of neuroscience methods · 2021Article
- Mobile Electroencephalography for Studying Neural Control of Human Locomotion.Frontiers in human neuroscience · 2021Article
- Differential Theta-Band Signatures of the Anterior Cingulate and Motor Cortices During Seated Locomotor Perturbations.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2021Article
- Electrocortical Activity in Older Adults Is More Influenced by Cognitive Task Complexity Than Concurrent Walking.Frontiers in aging neuroscience · 2021Article
- Anterior Cruciate Ligament Research Retreat VIII Summary Statement: An Update on Injury Risk Identification and Prevention Across the Anterior Cruciate Ligament Injury Continuum, March 14-16, 2019, Greensboro, NC.Journal of athletic training · 2019Article
- A Novel Approach to Evaluate Brain Activation for Lower Extremity Motor Control.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2019Article
- EEG electrode selection for person identification thru a genetic-algorithm method.Journal of medical systems · 2019Article
- Combined head phantom and neural mass model validation of effective connectivity measures.Journal of neural engineering · 2019Article
- Multimodal Imaging of Brain Activity to Investigate Walking and Mobility Decline in Older Adults (Mind in Motion Study): Hypothesis, Theory, and Methods.Frontiers in aging neuroscience · 2019Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recording scalp electroencephalography (EEG) during human motion can introduce motion artifacts. Repetitive head movements can generate artifact patterns across scalp EEG sensors. There are many methods for identifying and rejecting bad channels and independent components from EEG datasets, but there is a lack of methods dedicated to evaluate specific intra-channel amplitude patterns for identifying motion-related artifacts. In this study, we proposed a template correlation rejection (TCR) as a novel method for identifying and rejecting EEG channels and independent components carrying motion-related artifacts. We recorded EEG data from 10 subjects during treadmill walking. The template correlation rejection method consists of creating templates of amplitude patterns and determining the fraction of total epochs presenting relevant correlation to the template. For EEG channels, the template correlation rejection removed channels presenting the majority of epochs (>75%) correlated to the template, and presenting pronounced amplitude in comparison to all recorded channels. For independent components, the template correlation rejection removed components presenting the majority of epochs correlated to the template. Evaluation of scalp maps and power spectra confirmed low neural content for the rejected components. We found that channels identified for rejection contained ~60% higher delta power, and had spectral properties locked to the gait phases. After rejecting the identified channels and running independent component analysis on the EEG datasets, the proposed method identified 4.3 ± 1.8 independent components (out of 198 ± 12) with substantive motion-related artifacts. These results indicate that template correlation rejection is an effective method for rejecting EEG channels contaminated with motion-related artifact during human locomotion.
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