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McConnell, P. A.

Publications and source records attributed to McConnell, P. A..

2 recordsLinked to original sources

Sequence-Specific Reduction of Interlimb Accuracy Asymmetry Reveals Preserved Motor Learning Dynamics in Chronic Stroke: Insights from Lesion-Aware fMRI

Background: People with chronic stroke retain the capacity to learn new motor skills, yet how preserved motor learning is expressed during practice remains incompletely understood. Sequence learning provides a useful model for examining these within-session learning dynamics and their neural basis after stroke. Objective: To characterize a temporally resolved behavioral phenotype of motor sequence learning in chronic stroke and establish its neural context using task-based functional MRI (fMRI). Methods: Twenty-four individuals with chronic stroke and 14 neurologically healthy controls performed a bimanual force-tracking sequence-learning task during functional MRI. Performance convergence was defined as the sequence-specific reduction in the accuracy difference between the paretic and less-affected hands across practice. Neural activity was evaluated using whole-brain, region-of-interest, and functional-connectivity analyses following preprocessing tailored to structurally heterogeneous stroke lesions. Results: Stroke participants demonstrated significant performance convergence despite persistent motor impairment, indicating preserved expression of sequence learning during practice that was not detected by conventional behavioral measures. Lesion-aware fMRI identified robust task-related activation and preserved stage-dependent modulation within cerebellar, premotor, and striatal learning networks, together with reduced bilateral putaminal activity after stroke. However, preregistered analyses found no reproducible associations between individual differences in performance convergence and learning-related activation or functional connectivity. Conclusions: Performance convergence provides a sensitive, temporally resolved behavioral phenotype of preserved motor sequence learning in chronic stroke that complements conventional endpoint measures. Together, performance convergence and task-based functional MRI provide a framework for investigating individual differences in motor learning capacity and their implications for rehabilitation responsiveness.

neuroscience↗

Methodological considerations for behavioral studies relying on response time outcomes through online crowdsourcing platforms

This study explored challenges associated with online crowdsourced data collection, particularly focusing on longitudinal tasks with time-sensitive outcomes like response latencies. The research identified two significant sources of bias: technical shortcomings such as low, variable frame rates, and human factors, contributing to high attrition rates. The study also explored potential solutions to these problems, such as enforcing hardware acceleration and defining study-specific frame rate thresholds, as well as pre-screening participants and monitoring hardware performance and task engagement over each experimental session. This study provides valuable insights into improving the quality and reliability of data collected via online crowdsourced platforms and emphasizes the need for researchers to be cognizant of potential pitfalls in online research.

scientific communication and education↗