Haptic fMRI: accurately estimating neural responses in motor, pre-motor, and somatosensory cortex during complex motor tasks.
Identifieur interne : 001171 ( Main/Exploration ); précédent : 001170; suivant : 001172Haptic fMRI: accurately estimating neural responses in motor, pre-motor, and somatosensory cortex during complex motor tasks.
Auteurs : Samir Menon ; Michelle Yu ; Kendrick Kay ; Oussama KhatibSource :
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference [ 1557-170X ] ; 2014.
English descriptors
- KwdEn :
- Acceleration, Adult, Artifacts, Hand (physiology), Head, Humans, Magnetic Resonance Imaging (methods), Male, Motion, Motor Activity (physiology), Motor Cortex (physiology), Movement (physiology), Neuroimaging, Neurons (physiology), Reaction Time (physiology), Signal-To-Noise Ratio, Somatosensory Cortex (physiology), Task Performance and Analysis, Touch, Young Adult.
- MESH :
- methods : Magnetic Resonance Imaging.
- physiology : Hand, Motor Activity, Motor Cortex, Movement, Neurons, Reaction Time, Somatosensory Cortex.
- Acceleration, Adult, Artifacts, Head, Humans, Male, Motion, Neuroimaging, Signal-To-Noise Ratio, Task Performance and Analysis, Touch, Young Adult.
Abstract
Haptics combined with functional magnetic resonance imaging (Haptic fMRI) can non-invasively study how the human brain coordinates movement during complex manipulation tasks, yet avoiding associated fMRI artifacts remains a challenge. Here, we demonstrate confound-free neural activation measurements using Haptic fMRI for an unconstrained three degree-of-freedom motor task that involves planning, reaching, and visually guided trajectory tracking. Our haptic interface tracked subjects' hand motions, velocities, and accelerations (sample-rate, 350Hz), and provided continuous realtime visual feedback. During fMRI acquisition, we achieved uniform response latencies (reaching, 0.7-1.1s; tracking, 0.4-0.65s); minimized hand jitter (<;8mm); and ensured reliable motion trajectories (tracking, <;7mm root-mean-square error). In addition, our protocol decorrelated head motion from both hand speed (r=-0.03) and acceleration (r=-0.025), which reliably produced low head motion levels (<;0.4mm/s between scan volumes) and a low fMRI temporal noise-to-signal ratio (<;1%) across thirty-five scan runs. Our results address the primary outstanding Haptic fMRI confounds: motion induced low spatial-frequency magnetic field changes, which correlate neural activation across cortex; unreliable motions and response latencies, which reduce statistical power; and task-correlated head motion, which causes spurious fMRI activation. Haptic fMRI can thus reliably elicit and localize heterogeneous neural activation for different tasks in motor (movement), pre-motor (planning), and somatosensory (limb displacement) cortex, demonstrating that it is feasible to use the technique to study how the brain achieves three dimensional motor control.
DOI: 10.1109/EMBC.2014.6944017
PubMed: 25570385
Affiliations:
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Le document en format XML
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference</title><idno type="ISSN">1557-170X</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Acceleration</term><term>Adult</term><term>Artifacts</term><term>Hand (physiology)</term><term>Head</term><term>Humans</term><term>Magnetic Resonance Imaging (methods)</term><term>Male</term><term>Motion</term><term>Motor Activity (physiology)</term><term>Motor Cortex (physiology)</term><term>Movement (physiology)</term><term>Neuroimaging</term><term>Neurons (physiology)</term><term>Reaction Time (physiology)</term><term>Signal-To-Noise Ratio</term><term>Somatosensory Cortex (physiology)</term><term>Task Performance and Analysis</term><term>Touch</term><term>Young Adult</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Magnetic Resonance Imaging</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Hand</term><term>Motor Activity</term><term>Motor Cortex</term><term>Movement</term><term>Neurons</term><term>Reaction Time</term><term>Somatosensory Cortex</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Acceleration</term><term>Adult</term><term>Artifacts</term><term>Head</term><term>Humans</term><term>Male</term><term>Motion</term><term>Neuroimaging</term><term>Signal-To-Noise Ratio</term><term>Task Performance and Analysis</term><term>Touch</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Haptics combined with functional magnetic resonance imaging (Haptic fMRI) can non-invasively study how the human brain coordinates movement during complex manipulation tasks, yet avoiding associated fMRI artifacts remains a challenge. Here, we demonstrate confound-free neural activation measurements using Haptic fMRI for an unconstrained three degree-of-freedom motor task that involves planning, reaching, and visually guided trajectory tracking. Our haptic interface tracked subjects' hand motions, velocities, and accelerations (sample-rate, 350Hz), and provided continuous realtime visual feedback. During fMRI acquisition, we achieved uniform response latencies (reaching, 0.7-1.1s; tracking, 0.4-0.65s); minimized hand jitter (<;8mm); and ensured reliable motion trajectories (tracking, <;7mm root-mean-square error). In addition, our protocol decorrelated head motion from both hand speed (r=-0.03) and acceleration (r=-0.025), which reliably produced low head motion levels (<;0.4mm/s between scan volumes) and a low fMRI temporal noise-to-signal ratio (<;1%) across thirty-five scan runs. Our results address the primary outstanding Haptic fMRI confounds: motion induced low spatial-frequency magnetic field changes, which correlate neural activation across cortex; unreliable motions and response latencies, which reduce statistical power; and task-correlated head motion, which causes spurious fMRI activation. Haptic fMRI can thus reliably elicit and localize heterogeneous neural activation for different tasks in motor (movement), pre-motor (planning), and somatosensory (limb displacement) cortex, demonstrating that it is feasible to use the technique to study how the brain achieves three dimensional motor control.</div></front></TEI><affiliations><list></list><tree><noCountry><name sortKey="Kay, Kendrick" sort="Kay, Kendrick" uniqKey="Kay K" first="Kendrick" last="Kay">Kendrick Kay</name><name sortKey="Khatib, Oussama" sort="Khatib, Oussama" uniqKey="Khatib O" first="Oussama" last="Khatib">Oussama Khatib</name><name sortKey="Menon, Samir" sort="Menon, Samir" uniqKey="Menon S" first="Samir" last="Menon">Samir Menon</name><name sortKey="Yu, Michelle" sort="Yu, Michelle" uniqKey="Yu M" first="Michelle" last="Yu">Michelle Yu</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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