An fMRI Compatible Touchscreen to Measure Hand Kinematics during a Complex Drawing Task
L. Braadbaart, G. Buchan, J. H. G. Williams, G. D. Waiter
Current Journal of Applied Science and Technology · pp. 346–353 · Published 26 May 2015
10.9734/BJAST/2015/17411Abstract
Introduction: The measurement of human motion, or kinematics, is becoming increasingly important. More specifically the measurement of human motor control can give important information about a number of cognitive processes. However, due to the restricted environment of functional magnetic resonance imaging most studies involving kinematics have involved simple hand movements. We used a resistive touchscreen to measure the kinematics of human fine-motor control while simultaneously determining the neural basis of that control using functional magnetic resonance imaging (fMRI). Methods: Eighteen participants aged 21 to 45 years (10 female) were recruited. During a 10 minute functional imaging session we recorded both the functional and kinematic response to a dynamic drawing task. We determined the impact of the active touchscreen in the MR environment by determining measures of signal drift and fluctuation. Maps of average neuronal response to the dynamic drawing task as well as measures of drawing ability were determined. Results: We found no apparent effect of the touchscreen on signal either signal drift or fluctuation. We found significant functional activation in bilateral cerebellum, as well as the insula, and left supramarginal, postcentral and precentral gyri, consistent with previous findings. Conclusion: In conclusion we have shown the neural responses to a dynamic drawing task performed with a resistive touchscreen within an MRI scanner are reliable and consistent with previous work and that kinematic information can reliably reproduce drawing shape.
References (14)
- 1 Motor Planning, Imagery, and Execution in the Distributed Motor Network: A Time-Course Study with Functional MRI [DOI]
- 2 Report on a multicenter fMRI quality assurance protocol [DOI]
- 3 Prefrontal involvement in imitation learning of hand actions: Effects of practice and expertise [DOI]
- 4 A new tool for assessing human movement: The Kinematic Assessment Tool [DOI]
- 5 Modulated Activation of the Human SI and SII Cortices during Observation of Hand Actions [DOI]
- 6 A new tablet for writing and drawing during functional MRI [DOI]
- 7 Functional specificity in the motor system: Evidence from coupled fMRI and kinematic recordings during letter and digit writing [DOI]
- 8 The role of kinematics in cortical regions for continuous human motion perception [DOI]
- 9 Activity in ventral premotor cortex is modulated by vision of own hand in action [DOI]
- 10 Neural correlates of individual differences in manual imitation fidelity [DOI]
- 11 A Low-Cost, Computer-Interfaced Drawing Pad for fMRI Studies of Dysgraphia and Dyslexia [DOI]
- 12 A new tablet for writing and drawing during functional MRI [DOI]
- 13 Kinematic Measures of Imitation Fidelity in Primary School Children [DOI]
- 14 A new way to quantify the fidelity of imitation: preliminary results with gesture sequences [DOI]
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