Sodiq Fakorede , Fatimah Alkhameys , Ke Liao , Laura Martin , Hannes Devos
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引用次数: 0
Abstract
Objective
To examine whether bipedal stance (quiet standing) requires more attentional resources than sitting during a concurrent cognitive task.
Methods
126 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.
Results
The 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.
Conclusions
Upright 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.
期刊介绍:
Behavioural Brain Research is an international, interdisciplinary journal dedicated to the publication of articles in the field of behavioural neuroscience, broadly defined. Contributions from the entire range of disciplines that comprise the neurosciences, behavioural sciences or cognitive sciences are appropriate, as long as the goal is to delineate the neural mechanisms underlying behaviour. Thus, studies may range from neurophysiological, neuroanatomical, neurochemical or neuropharmacological analysis of brain-behaviour relations, including the use of molecular genetic or behavioural genetic approaches, to studies that involve the use of brain imaging techniques, to neuroethological studies. Reports of original research, of major methodological advances, or of novel conceptual approaches are all encouraged. The journal will also consider critical reviews on selected topics.