Corticospinal Signals Recorded with MEAs can Predict the Volitional Forearm Forces in Rats*
Identifieur interne : 001D01 ( Main/Merge ); précédent : 001D00; suivant : 001D02Corticospinal Signals Recorded with MEAs can Predict the Volitional Forearm Forces in Rats*
Auteurs : Yi Guo ; Sahin Mesut ; Richard A. Foulds ; Sergei V. AdamovichSource :
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference [ 1557-170X ] ; 2013.
English descriptors
- KwdEn :
- MESH :
- physiology : Axons, Forelimb, Pyramidal Tracts.
- Animals, Electrodes, Male, Models, Theoretical, Principal Component Analysis, Rats, Software.
Abstract
We set out to investigate if volitional components in the descending tracts of the spinal cord white matter can be accessed with multi-electrode array (MEA) recording technique. Rats were trained to press a lever connected to a haptic device with force feedback to receive sugar pellets. A flexible-substrate multi-electrode array was chronically implanted into the dorsal column of the cervical spinal cord. Field potentials and multi-unit activities were recorded from the descending axons of the corticospinal tract while the rat performed a lever pressing task. Forelimb forces, recorded with the sensor attached to the lever, were reconstructed using the hand position data and the neural signals through multiple trials over three weeks. The regression coefficients found from the trial set were cross-validated on the other trials recorded on same day. Approximately 30 trials of at least 2 seconds were required for accurate model estimation. The maximum correlation coefficient between the actual and predicted force was 0.7 in the test set. Positional information and its interaction with neural signals improved the correlation coefficient by 0.1 to 0.15. These results suggest that the volitional information contained in the corticospinal tract can be extracted with multi-channel neural recordings made with parenchymal electrodes.
Url:
DOI: 10.1109/EMBC.2013.6609918
PubMed: 24110105
PubMed Central: 4063445
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PMC:4063445Le document en format XML
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Foulds</name></author><author><name sortKey="Adamovich, Sergei V" sort="Adamovich, Sergei V" uniqKey="Adamovich S" first="Sergei V." last="Adamovich">Sergei V. Adamovich</name></author></analytic><series><title level="j">Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference</title><idno type="ISSN">1557-170X</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Axons (physiology)</term><term>Electrodes</term><term>Forelimb (physiology)</term><term>Male</term><term>Models, Theoretical</term><term>Principal Component Analysis</term><term>Pyramidal Tracts (physiology)</term><term>Rats</term><term>Software</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Axons</term><term>Forelimb</term><term>Pyramidal Tracts</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Electrodes</term><term>Male</term><term>Models, Theoretical</term><term>Principal Component Analysis</term><term>Rats</term><term>Software</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">We set out to investigate if volitional components in the descending tracts of the spinal cord white matter can be accessed with multi-electrode array (MEA) recording technique. Rats were trained to press a lever connected to a haptic device with force feedback to receive sugar pellets. A flexible-substrate multi-electrode array was chronically implanted into the dorsal column of the cervical spinal cord. Field potentials and multi-unit activities were recorded from the descending axons of the corticospinal tract while the rat performed a lever pressing task. Forelimb forces, recorded with the sensor attached to the lever, were reconstructed using the hand position data and the neural signals through multiple trials over three weeks. The regression coefficients found from the trial set were cross-validated on the other trials recorded on same day. Approximately 30 trials of at least 2 seconds were required for accurate model estimation. The maximum correlation coefficient between the actual and predicted force was 0.7 in the test set. Positional information and its interaction with neural signals improved the correlation coefficient by 0.1 to 0.15. These results suggest that the volitional information contained in the corticospinal tract can be extracted with multi-channel neural recordings made with parenchymal electrodes.</p></div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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