ArticleBehavioural brain research2025
Neural evidence for attentional resource allocation to postural control using brain-body imaging.
Article in Behavioural brain research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Inclusive mobile brain-body imaging achieves equivalent EEG data quality across racial groups.PLOS digital health · 2026Article
- Motor- and cognitive-dominant functional network adaptations supporting dual-task performance in older adults.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
objectiveTo examine whether bipedal stance (quiet standing) requires more attentional resources than sitting during a concurrent cognitive task.
methods126 adults completed an auditory oddball task in both standing and sitting positions. Neural activity was recorded using electroencephalography (EEG) in a mobile brain-body imaging setup. Univariate analysis compared P3 event-related potentials (ERP) across conditions during frequent, rare, and novelty stimuli. Multivariate pattern analysis (MVPA) with a support vector machine (SVM) was used to decode ERP signals between standing and sitting conditions.
resultsThe P3b component, associated with conscious stimulus evaluation, showed lower amplitude in the standing condition at the parietal channel (Pz). No significant differences were found in the P3a component at the frontal channel (Fz). MVPA effectively distinguished ERP signals between standing and sitting conditions from 100 ms to 800 ms post-stimulus.
conclusionsUpright stance requires more attentional resources, diverting focus from concurrent cognitive tasks that require conscious decision making. Machine learning models reveal that quiet standing also influences sensory and motor-related neural activity, indicating that postural demands not only impact neural activity related to cognitive performance, but also motor and sensory processing.
Indexed as
Identifiers
What 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.