Evidence map›Paper›PMID 32610288›Full record

ArticleNeurosurgical focus2020

Gamma-band modulation in the human amygdala during reaching movements.

Angad S Gogia, Roberto Martin Del Campo-Vera, Kuang-Hsuan Chen, Rinu Sebastian, George Nune, Daniel R Kramer, Morgan B Lee, Ali R Tafreshi, Michael F Barbaro, Charles Y Liu and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Neurosurgical focus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 50% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Angad S GogiaDepartments of1Neurological Surgery and.
Roberto Martin Del Campo-VeraDepartments of1Neurological Surgery and.
Kuang-Hsuan ChenDepartments of1Neurological Surgery and.
Rinu SebastianDepartments of1Neurological Surgery and.
George Nune2Neurology and.
Daniel R KramerDepartments of1Neurological Surgery and.
Morgan B LeeDepartments of1Neurological Surgery and.
Ali R TafreshiDepartments of1Neurological Surgery and.
Michael F BarbaroDepartments of1Neurological Surgery and.
Charles Y LiuDepartments of1Neurological Surgery and.
Spencer KellisDepartments of1Neurological Surgery and.
Brian LeeDepartments of1Neurological Surgery and.
Neurological Surgery · USInterface (United States) · USNeurology, Inc · US

Funding

Mentored Career DevelopmentKL2TR001854 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Elizabeth Rhea Erwin Burner, Amy Elizabeth West · 2016 to 2026
$9.0M
Stanford Neurosurgery Resident Research Education ProgramR25NS065741 · NINDS · STANFORD UNIVERSITY · PI HAYDEN GEPHART, MELANIE, STEINBERG, GARY K · 2009 to 2022
$2.0M
USC Neurosurgery Research Education Training ProgramR25NS099008 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MACK, WILLIAM J · 2017 to 2023
$516k
NCATS NIH HHS KL2 TR001854NINDS NIH HHS R25 NS065741NINDS NIH HHS R25 NS099008
6 · The paper itself

Abstract

objectiveMotor brain-computer interface (BCI) represents a new frontier in neurological surgery that could provide significant benefits for patients living with motor deficits. Both the primary motor cortex and posterior parietal cortex have successfully been used as a neural source for human motor BCI, leading to interest in exploring other brain areas involved in motor control. The amygdala is one area that has been shown to have functional connectivity to the motor system; however, its role in movement execution is not well studied. Gamma oscillations (30-200 Hz) are known to be prokinetic in the human cortex, but their role is poorly understood in subcortical structures. Here, the authors use direct electrophysiological recordings and the classic "center-out" direct-reach experiment to study amygdaloid gamma-band modulation in 8 patients with medically refractory epilepsy.

methodsThe study population consisted of 8 epilepsy patients (2 men; age range 21-62 years) who underwent implantation of micro-macro depth electrodes for seizure localization and EEG monitoring. Data from the macro contacts sampled at 2000 Hz were used for analysis. The classic center-out direct-reach experiment was used, which consists of an intertrial interval phase, a fixation phase, and a response phase. The authors assessed the statistical significance of neural modulation by inspecting for nonoverlapping areas in the 95% confidence intervals of spectral power for the response and fixation phases.

resultsIn 5 of the 8 patients, power spectral analysis showed a statistically significant increase in power within regions of the gamma band during the response phase compared with the fixation phase. In these 5 patients, the 95% bootstrapped confidence intervals of trial-averaged power in contiguous frequencies of the gamma band during the response phase were above, and did not overlap with, the confidence intervals of trial-averaged power during the fixation phase.

conclusionsTo the authors' knowledge, this is the first time that direct neural recordings have been used to show gamma-band modulation in the human amygdala during the execution of voluntary movement. This work indicates that gamma-band modulation in the amygdala could be a contributing source of neural signals for use in a motor BCI system.

Indexed as

AmygdalaBrainElectroencephalographyEpilepsyHumansMotor CortexMovementNerve NetParietal LobeamygdalaBCI = brain-computer interfacedirect reachelectrophysiologygamma bandhumanITI = intertrial intervalPPC = posterior parietal cortexstereo-EEG

Identifiers

PMID32610288
PMCPMC9651147
OpenAlexW3039879706

What OpenQuestion holds

Textmetadata
LicenceTDM
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.