Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum.

Area of Science:

• Neuroscience
• Rehabilitation Medicine
• Biomedical Engineering

Background:

• Objective analysis of eye movements is a proven tool for brain injury research.
• Concurrent eye-hand coordination assessments offer robust biomarkers for neural injury, including acquired brain injury (ABI).
• Feasibility of dual eye-hand movement recordings in pathological settings with research-grade rigor is challenging.

Purpose of the Study:

• To describe the integration of eye and motion tracking systems for studying natural eye-hand coordination.
• To present a method for assessing eye-hand coordination in visually guided saccade-to-reach tasks in chronic middle cerebral artery (MCA) stroke survivors and healthy controls.
• To highlight critical system properties for high-fidelity data acquisition in participants with neurological injury.

Main Methods:

• Integration of an eye tracking system with a motion tracking system for unrestricted 3D eye-hand coordination tasks.
• Utilizing visually guided saccade-to-reach tasks to assess eye-hand coordination.
• Careful selection of eye- and limb-tracking systems based on sampling rate, accuracy, head movement tolerance, and 3D recording capabilities.

Main Results:

• The described protocol enables the investigation of natural, unrestricted 3D eye-hand coordination.
• High-fidelity data can be obtained from participants post-injury by considering specific system properties.
• The method allows for quantitative comparison of eye-hand coordination between stroke survivors and healthy controls.

Conclusions:

• Quantitative dual-effector recordings offer a powerful approach to interrogate neural injury.
• This integrated tracking method has significant potential to refine mechanistic understanding of eye-hand control.
• The approach can inform feasible diagnostic and pragmatic interventions in neurological and rehabilitative practice.