NDLI: Reconstructing grasping motions from high-frequency local field potentials in primary motor cortex

Content Provider	IEEE Xplore Digital Library
Author	Jun Zhuang Truccolo, W. Vargas-Irwin, C. Donoghue, J.P.
Copyright Year	2010
Description	Author affiliation: Department of Biomedical Engineering, Shanghai Jiao Tong University, 200240, China (Jun Zhuang) \|\| Department of Neuroscience, Brown University, Providence, RI 02912 USA (Vargas-Irwin, C.) \|\| Department of Neuroscience and Brown Institute for Brain Science, Brown University, Providence, RI 02912 USA (Truccolo, W.; Donoghue, J.P.)
Abstract	Recent developments in neural interface systems hold the promise to restore movement in people with paralysis. In search of neural signals for control of neural interface systems, previous studies have investigated primarily single and multiunit activity, as well as low frequency local field potentials (LFPs). In this paper, we investigate the information content about grasping motion of a broad band high frequency LFP (200 Hz – 400 Hz) by classifying discrete grasp aperture states and decoding continuous aperture trajectories. LFPs were recorded via 96-microelectrode arrays in the primary motor cortex (M1) of two monkeys performing free 3-D reaching and grasping towards moving objects. Our results indicate that broad band high frequency LFPs could serve as useful signals for restoring a motor function such as grasp control.
Starting Page	4347
Ending Page	4350
File Size	649768
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5626228
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Apertures Decoding Grasping Kinematics Trajectory Kalman filters Support vector machines
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Reconstructing Grasping Motions from High-Frequency Local Field Potentials in Primary Motor Cortex

Decoding wrist kinematics from local field potentials of the ipsilateral primary motor and dorsal premotor cortices

Brain-machine interface control using broadband spectral power from local field potentials

Decoding grasp types with high frequency of local field potentials from primate primary dorsal premotor cortex

Comparisons between linear and nonlinear methods for decoding motor cortical activities of monkey

Decoding 3-D Reach and Grasp Kinematics From High-Frequency Local Field Potentials in Primate Primary Motor Cortex

Decoding hand trajectories from micro-electrocorticography in human patients

Motor cortical decoding performance depends on controlled system order

Recurrence network analysis of multiple local field potential bands from the orofacial portion of primary motor cortex

Reconstructing grasping motions from high-frequency local field potentials in primary motor cortex

Similar Documents

Reconstructing Grasping Motions from High-Frequency Local Field Potentials in Primary Motor Cortex

Decoding wrist kinematics from local field potentials of the ipsilateral primary motor and dorsal premotor cortices

Brain-machine interface control using broadband spectral power from local field potentials

Decoding grasp types with high frequency of local field potentials from primate primary dorsal premotor cortex

Comparisons between linear and nonlinear methods for decoding motor cortical activities of monkey

Decoding 3-D Reach and Grasp Kinematics From High-Frequency Local Field Potentials in Primate Primary Motor Cortex

Decoding hand trajectories from micro-electrocorticography in human patients

Motor cortical decoding performance depends on controlled system order

Recurrence network analysis of multiple local field potential bands from the orofacial portion of primary motor cortex

Reconstructing grasping motions from high-frequency local field potentials in primary motor cortex