ArticleAnnals of biomedical engineering2026
Executive Function Assessment Through Wireless EEG and Gait Monitoring During Cognitive-Motor Dual Tasks.
Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
purposeThe simultaneous performance of tasks relying on the same cognitive processes might lead to gait disturbances. The study aims to explore the distinct involvement of working memory and inhibition during gait within a dual-task using 3D motion analysis and wireless electroencephalography (EEG), addressing limitations of previous research on the removal of gait-related artifacts from EEG signals and the EEG results' generalizability.
methods30 healthy participants performed two cognitive tasks designed to engage inhibition (Go-NoGo) and working memory (N-Back). Data acquisition was performed using a 19-channel wireless EEG device and a 3D optoelectronic system. 51 EEG features, seven spatial-temporal and nine kinematic parameters (seven spatiotemporal metrics and Gait Variable Scores for nine lower-limb joint ranges of motion) were analyzed. Riemannian geometry-based methods were employed to enhance artifact removal from EEG signals and to improve the EEG results' generalizability across subjects.
resultsGait analysis highlighted a predominant involvement of inhibition (p
conclusionsThis study supports EEG-based monitoring of cognitive processes during walking and aids the design of tailored cognitive rehabilitation for motor-impaired individuals.
Indexed as
Identifiers
42566075What OpenQuestion holds
Registered trials
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.