Title :
Haptic fMRI: Combining functional neuroimaging with haptics for studying the brain´s motor control representation
Author :
Menon, Samir ; Brantner, Gerald ; Aholt, Chris ; Kay, Kendrick ; Khatib, Oussama
Author_Institution :
Dept. of Comput. Sci., Stanford Univ., Stanford, CA, USA
Abstract :
A challenging problem in motor control neuroimaging studies is the inability to perform complex human motor tasks given the Magnetic Resonance Imaging (MRI) scanner´s disruptive magnetic fields and confined workspace. In this paper, we propose a novel experimental platform that combines Functional MRI (fMRI) neuroimaging, haptic virtual simulation environments, and an fMRI-compatible haptic device for real-time haptic interaction across the scanner workspace (above torso ~ .65×.40×.20m<;sup>3<;/sup>). We implement this Haptic fMRI platform with a novel haptic device, the Haptic fMRI Interface (HFI), and demonstrate its suitability for motor neuroimaging studies. HFI has three degrees-of-freedom (DOF), uses electromagnetic motors to enable high-fidelity haptic rendering (>350Hz), integrates radio frequency (RF) shields to prevent electromagnetic interference with fMRI (temporal SNR >100), and is kinematically designed to minimize currents induced by the MRI scanner´s magnetic field during motor displacement (<;2cm). HFI possesses uniform inertial and force transmission properties across the workspace, and has low friction (.05-.30N). HFI´s RF noise levels, in addition, are within a 3 Tesla fMRI scanner´s baseline noise variation (~.85±.1%). Finally, HFI is haptically transparent and does not interfere with human motor tasks (tested for .4m reaches). By allowing fMRI experiments involving complex three-dimensional manipulation with haptic interaction, Haptic fMRI enables-for the first time-non-invasive neuroscience experiments involving interactive motor tasks, object manipulation, tactile perception, and visuo-motor integration.
Keywords :
biomechanics; biomedical MRI; biomedical equipment; brain; electromagnetic interference; friction; haptic interfaces; neurophysiology; MRI scanner magnetic field; RF noise levels; brain motor control representation; complex human motor tasks; complex three-dimensional manipulation; current displacement; degrees-of-freedom; disruptive magnetic fields; electromagnetic interference; electromagnetic motors; fMRI scanner baseline noise variation; fMRI-compatible haptic device; friction; functional MRI neuroimaging; haptic fMRI Interface; haptic fMRI platform; haptic virtual simulation environments; high-fidelity haptic rendering; interactive motor tasks; magnetic resonance imaging; noninvasive neuroscience experiments; radiofrequency shields; real-time haptic interaction; tactile perception; uniform inertial force transmission properties; visuomotor integration; Force; Friction; Haptic interfaces; Induction motors; Magnetic resonance imaging; Noise; Radio frequency;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610456