Evidence map›Paper›PMID 22157115›Full record

ArticleJournal of neurophysiology2012

Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials.

Arjun K Bansal, Wilson Truccolo, Carlos E Vargas-Irwin, John P Donoghue

Abstract readComparative Study
In one paragraph

Article in Journal of neurophysiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing 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

94 citing papers in PubMed.

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  3. Parietal oscillations code nonvisual reach targets relative to gaze and body.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
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34 more citing papers are in PubMed but not listed here.

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

4 authors.

Arjun K BansalDepartment of Neuroscience, Brown University, Providence, RI, USA. arjun.bansal@childrens.harvard.edu
Wilson Truccolo
Carlos E Vargas-Irwin
John P Donoghue

Funding

Implantable Microsystems for Human NeuroprosthesisR01EB007401 · NIBIB · BROWN UNIVERSITY · PI DONOGHUE, JOHN P · 2007 to 2011
$6.4M
STATIC AND DYNAMIC ORGANIZATION OF PRIMATE MOTOR CORTEXR01NS025074 · NINDS · BROWN UNIVERSITY · PI DONOGHUE, JOHN P · 1987 to 2016
$4.7M
Static and Dynamic Organization of Primate Motor CortexR37NS025074 · NINDS · BROWN UNIVERSITY · PI DONOGHUE, JOHN P · 2002 to 2009
$3.4M
Sensorimotor Computations in M1 & 5d During Online Control of Reaching MovementK01NS057389 · NINDS · BROWN UNIVERSITY · PI TRUCCOLO, WILSON · 2007 to 2011
$760k
Relationship of field and action potentials within the frontoparietal cortexF32NS061483 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI MISLOW, JOHN MICHAEL-KURT · 2008 to 2009
$59k
NIBIB NIH HHS R01 EB007401NIBIB NIH HHS R01-EB-007401-01NINDS NIH HHS 5K01-NS-057389NINDS NIH HHS F32 NS061483NINDS NIH HHS F32-NS-061483NINDS NIH HHS K01 NS057389NINDS NIH HHS NS-25074NINDS NIH HHS R01 NS025074NINDS NIH HHS R37 NS025074
6 · The paper itself

Abstract

Neural activity in motor cortex during reach and grasp movements shows modulations in a broad range of signals from single-neuron spiking activity (SA) to various frequency bands in broadband local field potentials (LFPs). In particular, spatiotemporal patterns in multiband LFPs are thought to reflect dendritic integration of local and interareal synaptic inputs, attentional and preparatory processes, and multiunit activity (MUA) related to movement representation in the local motor area. Nevertheless, the relationship between multiband LFPs and SA, and their relationship to movement parameters and their relative value as brain-computer interface (BCI) control signals, remain poorly understood. Also, although this broad range of signals may provide complementary information channels in primary (MI) and ventral premotor (PMv) areas, areal differences in information have not been systematically examined. Here, for the first time, the amount of information in SA and multiband LFPs was compared for MI and PMv by recording from dual 96-multielectrode arrays while monkeys made naturalistic reach and grasp actions. Information was assessed as decoding accuracy for 3D arm end point and grip aperture kinematics based on SA or LFPs in MI and PMv, or combinations of signal types across areas. In contrast with previous studies with ≤16 simultaneous electrodes, here ensembles of >16 units (on average) carried more information than multiband, multichannel LFPs. Furthermore, reach and grasp information added by various LFP frequency bands was not independent from that in SA ensembles but rather typically less than and primarily contained within the latter. Notably, MI and PMv did not show a particular bias toward reach or grasp for this task or for a broad range of signal types. For BCIs, our results indicate that neuronal ensemble spiking is the preferred signal for decoding, while LFPs and combined signals from PMv and MI can add robustness to BCI control.

Indexed as

Action PotentialsAnimalsHand StrengthMacaca mulattaMaleMotor ActivityMotor CortexMovementPhotic StimulationPsychomotor Performance

Identifiers

PMID22157115
PMCPMC3311686

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.