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Previous research showed that a simple target interception task reveals differences between younger adults (YA) and older adults (OA) on a large screen under laboratory conditions. Participants intercept downward moving objects while a horizontally moving background creates an illusion of the object moving in the opposite direction of the background. OA are more influenced by this illusory motion than YA. OA seem to be less able to ignore irrelevant sensory information than YA. Since sensory integration relates to the ability to perform Activities of Daily Living (ADL), this interception task can potentially signal ADL issues. Here we investigated whether the results of the target interception task could be replicated using a more portable setup, i.e., a tablet instead of a large touch screen. For YA from the same, homogeneous population, the main effects were replicated although the task was more difficult in the tablet set-up. After establishing the tablet's validity, we analyzed the response patterns of OA that were less fit than the OA in previous research. We identified three different illusion patterns: a (large) illusion effect (indicating over integration), a reverse illusion effect, and no illusion effect. These different patterns are much more nuanced than previously reported for fit OA who only show over integration. We propose that the patterns are caused by differences in the samples of OA (OA in the current sample were older and had lower ADL scores), possibly modulated by increased task difficulty in the tablet setup. We discuss the effects of illusory background motion as a function of ADL scores using a transitional model. The first pattern commences when sensory integration capability starts to decrease, leading to a pattern of over-integration (illusion effect). The second pattern commences when compensatory mechanisms are not sufficient to counteract the effect of the background motion, leading to direction errors in the same direction as the background motion (reverse illusion). The third pattern commences when the task requirements are too high, leading OA to implement a probabilistic strategy by tapping toward the center of the screen.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545929 | PMC |
http://dx.doi.org/10.3389/fnins.2019.00524 | DOI Listing |
Eur J Neurosci
December 2024
Laboratorio de Plasticidad Cortical y Aprendizaje Perceptual, Instituto de Neurociencias, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
Interception, essential for activities like driving and sports, can be characterized by varying degrees of predictive behaviour. We developed a visually guided task to explore how target predictability and visibility influenced interception actions. The task featured a falling dot influenced by horizontal velocity, gravity and air friction, with predictability manipulated through external forces that altered the target's trajectory.
View Article and Find Full Text PDFJ Vis
November 2024
Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
When catching a falling ball or avoiding a collision with traffic, humans can quickly generate eye and limb responses to unpredictable changes in their environment. Mechanisms of limb and oculomotor control when responding to sudden changes in the environment have mostly been investigated independently. Here, we investigated eye-hand coordination in a rapid interception task where human participants used a virtual paddle to intercept a moving target.
View Article and Find Full Text PDFAutism Res
December 2024
Department of Biology, Northeastern University, Boston, Massachusetts, USA.
A growing body of research reveals that autistic individuals exhibit motor coordination challenges. Multiple theoretical frameworks propose that the seemingly disparate features of autism may arise from a common underlying process: a diminished ability to make predictions. Sensorimotor skills, such as catching a ball, critically rely on predicting the ball's trajectory as well as anticipatory coordination of the entire body.
View Article and Find Full Text PDFExp Brain Res
December 2024
Montreal Neurological Institute, Department of Neurology & Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada.
Motor skill learning and performance are improved when successful actions are paired with extrinsic rewards, such as money. Positive feedback indicating successful task performance is thought to induce intrinsic reward associated with goal attainment, evidenced by increases in positive affect that correlate with neural reward signaling. However, it is not clear whether the subjective, internal reward processes elicited by positive feedback promote motor learning and performance.
View Article and Find Full Text PDFR Soc Open Sci
October 2024
Laboratorio de Plasticidad Cortical y Aprendizaje Perceptual, Instituto de Neurociencias, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
Pupillary responses serve as sensitive indicators of cognitive processes, attentional shifts and decision-making dynamics. Our study investigates how directional uncertainty and target speed ( ) influence pupillary responses in a foveal tracking task involving the interception of a moving dot. Directional uncertainty, reflecting the unpredictability of the target's direction changes, was manipulated by altering the angular range (AR) from which random directions for the moving dot were extracted.
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