| 12:20p |
An online dynamic experimental framework to study single neuron responses in humans
Single-neuron activity can be recorded from patients being evaluated for neurosurgical treatment of drug-resistant epilepsy who volunteer to have microwires implanted for single cell research that aims to study various aspects of the human brain. These recordings provide an unprecedented window into the human brain to observe how information is encoded and retrieved at the cellular level. Current single cell research paradigms require laborious offline analysis to identify stimuli eliciting neuronal responses and introduce new relevant stimuli in a follow up task. Any delays due to patient availability can compromise the follow up task, risking loss of experimental progress as recording electrodes may move away from previously recorded neurons. This paper introduces a novel experimental framework for online single cell data analysis and dynamic sampling of the stimulus space. It allows for real-time data acquisition and analysis to identify response-eliciting stimuli, introduce new relevant stimuli, and discard those that fail to elicit responses. |
| 1:35p |
Investigating Age-Related Decline in Sensorimotor Control Using Robotic Tasks
BackgroundAging is linked to widespread changes in sensorimotor control, leading to functional decline, mobility limitations, and an increased risk of falls. Certain aspects of the neurological examination and assessment of the motor system are subjective, underscoring the need for objective and quantitative tools to evaluate sensorimotor performance.
MethodsTo address this, we designed three experimental tasks using the vBOT planar robotic manipulandum to compare sensorimotor performance in healthy young adults (<35 years) and older adults (>60 years). Unlike previous assessments, our tasks uniquely integrate simultaneous bimanual control and altered dynamic conditions to comprehensively assess sensorimotor capabilities. The first task involved a bimanual de novo motor learning paradigm in which participants coordinated both hands to control a virtual 2D arm and performed 400 center-out and out-to-center trials. The second task assessed unimanual control using the right hand to perform center-out movements to eight targets. It introduced dynamic forces simulating object manipulation during the final 200 trials. The third task was similar but applied a viscous force field in the last 200 trials. It also included a scoring mechanism rewarding brisk movements, thereby encouraging participants to perform closer to their maximum capabilities. In this task, performance was also compared between the dominant and non-dominant arms. Group comparisons and within-subject differences were evaluated using appropriate statistical analyses.
ResultsEach task effectively identified age-related differences, but the viscous resistance task proved particularly sensitive, capturing significant age-related declines in force generation and movement duration. This scoring approach likely amplified performance differences, highlighting its suitability for detecting subtle effects of aging.
Older adults generally showed slower movement, longer task completion times, reduced peak forces, and prolonged reaction times. However, individual performance varied, with some older participants performing on par with younger individuals. In the third experiment, the dominant arm showed consistently better performance than the non-dominant arm, underscoring the sensitivity of the metrics to lateralized differences in motor control.
ConclusionsThese findings suggest that robot-based tasks have potential to quantify age-related differences in sensorimotor control and may support more precise clinical assessments.
Significance StatementThis study utilizes a robotic manipulandum, i.e., the vBOT, to assess the effect of aging. Through precisely controlled repeatable sensorimotor tasks, we quantify movement characteristics in both younger and older adults, providing clear insights into age-related motor decline. Our approach not only highlights the magnitude and variability of functional changes with age but also establishes rigorous and reliable quantitative benchmarks that could serve as critical tools for evaluating preventative therapies. In turn, this could guide the development of interventions aimed at preserving motor performance in older age.
News & NoteworthyThis study introduces a novel approach to assessing how aging affects movement dynamics using a robotic system. As populations age, understanding sensorimotor decline becomes increasingly crucial. Unlike conventional assessments, our method quantifies motor control metrics with precision, revealing previously undetectable, subtle age-related changes in movement efficiency, reaction times, and force generation. This framework establishes a rigorous benchmark for evaluating age-related decline, offering valuable clinical applications and informing the design of interventions to support older adults. |