Evidence map›Paper›PMID 25869861›Full record

ArticleNeuroImage2015

Local field potentials in primate motor cortex encode grasp kinetic parameters.

Tomislav Milekovic, Wilson Truccolo, Sonja Grün, Alexa Riehle, Thomas Brochier

Abstract read
In one paragraph

Article in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tomislav MilekovicBernstein Center Freiburg, University of Freiburg, Freiburg, Germany; Department of Bioengineering, Imperial College London, London, UK; Department of Electrical and Electronic Engineering, Imperial College London, London, UK. Electronic address: tomislav.milekovic@epfl.ch.
Wilson TruccoloDepartment of Neuroscience and Institute for Brain Science, Brown University, Providence, RI 02912, USA; Center for Neurorestoration and Neurotechnology, U.S. Department of Veterans Affairs, Providence, RI 02912, USA. Electronic address: wilson_truccolo@brown.edu.
Sonja GrünInstitute of Neuroscience and Medicine (INM-6), Research Center Jülich, Jülich, Germany; Institute of for Advanced Simulation (IAS-6), Research Center Jülich, Jülich, Germany; Theoretical Systems Neurobiology, RWTH Aachen University, Aachen, Germany; Riken Brain Science Institute, Wako-Shi, Japan. Electronic address: s.gruen@fz-juelich.de.
Alexa RiehleInstitut de Neurosciences de la Timone, CNRS-AMU, Marseille, France; Institute of Neuroscience and Medicine (INM-6), Research Center Jülich, Jülich, Germany; Riken Brain Science Institute, Wako-Shi, Japan. Electronic address: alexa.riehle@univ-amu.fr.
Thomas BrochierInstitut de Neurosciences de la Timone, CNRS-AMU, Marseille, France. Electronic address: thomas.brochier@univ-amu.fr.

Funding

Sensorimotor Computations in M1 & 5d During Online Control of Reaching MovementK01NS057389 · NINDS · BROWN UNIVERSITY · PI TRUCCOLO, WILSON · 2007 to 2011
$760k
NINDS NIH HHS K01 NS057389
6 · The paper itself

Abstract

Reach and grasp kinematics are known to be encoded in the spiking activity of neuronal ensembles and in local field potentials (LFPs) recorded from primate motor cortex during movement planning and execution. However, little is known, especially in LFPs, about the encoding of kinetic parameters, such as forces exerted on the object during the same actions. We implanted two monkeys with microelectrode arrays in the motor cortical areas MI and PMd to investigate encoding of grasp-related parameters in motor cortical LFPs during planning and execution of reach-and-grasp movements. We identified three components of the LFP that modulated during grasps corresponding to low (0.3-7Hz), intermediate (~10-~40Hz) and high (~80-250Hz) frequency bands. We show that all three components can be used to classify not only grip types but also object loads during planning and execution of a grasping movement. In addition, we demonstrate that all three components recorded during planning or execution can be used to continuously decode finger pressure forces and hand position related to the grasping movement. Low and high frequency components provide similar classification and decoding accuracies, which were substantially higher than those obtained from the intermediate frequency component. Our results demonstrate that intended reach and grasp kinetic parameters are encoded in multiple LFP bands during both movement planning and execution. These findings also suggest that the LFP is a reliable signal for the control of parameters related to object load and applied pressure forces in brain-machine interfaces.

Indexed as

Hand StrengthMovementAnimalsBiomechanical PhenomenaBrain WavesFemaleMacacaMotor CortexGraspingKineticsLocal field potentialsMacaqueMotor cortexMovement planning

Identifiers

PMID25869861
PMCPMC4562281

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.