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Visual perception is closely related to body movements and action, and it is known that processing visual stimuli is facilitated at the hand or at the hand-movement goal. Such facilitation suggests that there may be an attentional process associated with the hands or hand movements. To investigate the underlying mechanisms of visual attention at a hand-movement goal, we conducted two experiments to examine whether attention at the hand-movement goal is a process independent from endogenous attention. Endogenous attention is attention that is intentionally focused on a location, feature, or object. We controlled the hand-movement goal and endogenous attention separately to investigate the spatial profiles of the two types of attention. A visual target was presented either at the goal of hand movement (same condition) or at its opposite side (opposite condition) while steady-state visual-evoked potential (SSVEP) was used to estimate the spatial distributions of the facilitation effect from the 2 types of attention around the hand-movement goal and around the visual target through EEG. We estimated the spatial profile of attentional modulation for the hand-movement goal by taking the difference in SSVEP amplitude between conditions with and without hand movement, thereby obtaining the effect of visual endogenous attention alone. The results showed a peak at the hand-movement goal, independent of the location of the visual target where participants intentionally focused their attention (endogenous attention). We also found differences in the spatial extent of attentional modulation. Spatial tuning was narrow around the hand-movement goal (i.e., attentional facilitation only at the goal location) but was broadly tuned around the focus of endogenous attention (i.e., attentional facilitation spreading over adjacent stimulus locations), which was obtained from the condition without hand movement. These results suggest the existence of two separate mechanisms, one underlying the attention at the hand-movement goal and another underlying endogenous attention.
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http://dx.doi.org/10.1162/jocn_a_02005 | DOI Listing |
Stroke
August 2025
Experimental Electrophysiology and Neuroimaging, Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany (S.W., H.B., J.F., J.A.G.P., F.Q., R.S., C.G.).
Background: Understanding of sensorimotor reorganization following a stroke is still incomplete. This study examined how the neuromotor system of well-recovered patients with stroke achieves stable control of the redundant degrees of freedom in the upper limb through goal-directed reaching movements.
Methods: Thirteen right-handed individuals with left-hemispheric stroke and 13 age-, sex- and handedness-matched healthy controls participated in this cross-sectional study.
Child Care Health Dev
May 2025
School of Rehabilitation Sciences, University of Montreal, Montreal, Canada.
Background: Visuomotor integration (VMI) impairments are common in children with cerebral palsy (CP) and can impact performance of goal-directed upper-extremity tasks. VMI impairment is clinically assessed using the gold-standard Beery-Buktenica test, whereas research paradigms use computerized assessments incorporating eye and hand movement tracking with touchscreen displays. Immersive virtual reality (VR) may potentially enable more ecologically valid VMI assessments through the inclusion of 3D tasks and visual distractions.
View Article and Find Full Text PDFFront Hum Neurosci
March 2025
Clinatec, CEA, LETI, University Grenoble Alpes, Grenoble, France.
Introduction: Phase-amplitude coupling (PAC), the modulation of high-frequency neural oscillations by the phase of slower oscillations, is increasingly recognized as a marker of goal-directed motor behavior. Despite this interest, its specific role and potential value in decoding attempted motor movements remain unclear.
Methods: This study investigates whether PAC-derived features can be leveraged to classify different motor behaviors from ECoG signals within Brain-Computer Interface (BCI) systems.
J Neurosci
March 2025
School of Psychology, University of Leeds, LS2 9JT.
The motor system adapts its output in response to experienced errors to maintain effective movement in a dynamic environment. This learning is thought to utilize sensory prediction errors, the discrepancy between predicted and observed sensory feedback, to update internal models that map motor outputs to sensory states. However, it remains unclear sensory information is relevant (e.
View Article and Find Full Text PDFCortex
April 2025
Trinity Institute of Neurosciences, Trinity College Dublin, Ireland.
Recent studies have demonstrated that the representation of peri-personal space (PPS) can be strongly modulated by the intention to execute a spatially-directed hand-movement. However, the question of whether analogous motor-induced PPS modulations can be observed during the planning and execution of goal-directed lower limbs movements has been scarcely investigated. Here we asked whether changes in the visuo-tactile PPS maps occur during the planning of a goal directed foot-movement.
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