title: Force sensing system for automated assessment of motor performance during fMRI.
abstract: Finger tapping sequences are a commonly used measure of motor learning in functional imaging studies. Subjects repeat a defined sequence of finger taps as fast as possible for a set period of time. The number of sequences completed per unit time is the measure of performance. Assessment of speed and accuracy is generally accomplished by video recording the session then replaying in slow motion to assess rate and accuracy. This is a time consuming and error prone process. Keyboards and instrumented gloves have also been used for task assessment though they are relatively expensive and not usually compatible in a magnetic resonance imaging (MRI) scanner. To address these problems, we developed a low cost system using MRI compatible force sensitive resistors (FSR) to assess the performance during a finger sequence task. This system additionally provides information on finger coordination including time between sequences, intervals between taps, and tap duration. The method was validated by comparing the FSR system results with results obtained by video analysis during the same session.
authors.affiliation: Research Imaging Institute, University of Texas Health Science Center, 7703 Floyd Curl Dr., San Antonio, TX 7829, USA. rogers@uthscsa.edu
authors.forename: Bill
authors.initials: B
authors.lastname: Rogers
authors.forename: Wei
authors.initials: W
authors.lastname: Zhang
authors.forename: Shalini
authors.initials: S
authors.lastname: Narayana
authors.forename: Jack L
authors.initials: JL
authors.lastname: Lancaster
authors.forename: Donald A
authors.initials: DA
authors.lastname: Robin
authors.forename: Peter T
authors.initials: PT
authors.lastname: Fox
mesh_terms: D001331:Automation; D004581:Electronics / Q000295:instrumentation; D004867:Equipment Design; D005385:Fingers / Q000502:physiology*; D018737:Hand Strength; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000295:instrumentation* / Q000379:methods; D009043:Motor Activity / Q000502:physiology*; D009048:Motor Skills / Q000502:physiology; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012984:Software; D013647:Task Performance and Analysis; D013997:Time Factors; D014741:Video Recording