Evidence map›Paper›PMID 27057960›Full record

ArticleNeuroImage2016

Alpha power indexes task-related networks on large and small scales: A multimodal ECoG study in humans and a non-human primate.

A de Pesters, W G Coon, P Brunner, A Gunduz, A L Ritaccio, N M Brunet, P de Weerd, M J Roberts, R Oostenveld, P Fries and 1 more

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 97 citations in OpenAlex.

  1. Closed-Loop Neurofeedback of α Synchrony during Goal-Directed Attention.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
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  3. Distinct laminar origins of sensory-evoked high-gamma and low-frequency ECoG signals revealed by optogenetics.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

11 authors at 8 institutions in 3 countries.

A de PestersNat Ctr for Adapt Neurotech, Wadsworth Center, NY State Dept of Health, Albany, NY, USA; Dept of Biomed Sci, State Univ of New York at Albany, Albany, NY, USA. Electronic address: adepesters@neurotechcenter.org.
W G CoonNat Ctr for Adapt Neurotech, Wadsworth Center, NY State Dept of Health, Albany, NY, USA. Electronic address: wcoon@neurotechcenter.org.
P BrunnerNat Ctr for Adapt Neurotech, Wadsworth Center, NY State Dept of Health, Albany, NY, USA; Dept of Neurology, Albany Medical College, Albany, NY, USA. Electronic address: pbrunner@neurotechcenter.org.
A GunduzDept of Biomed Eng, Univ of Florida, Gainesville, FL, USA. Electronic address: agunduz@bme.ufl.edu.
A L RitaccioDept of Neurology, Albany Medical College, Albany, NY, USA. Electronic address: ritacca@mail.amc.edu.
N M BrunetSUNY Downstate Med Ctr, Brooklyn, NY, USA. Electronic address: nicolas.brunet@downstate.edu.
P de WeerdDept of Cogn Neurosci, Maastricht Univ, Maastricht, Netherlands; Donders Inst for Brain, Cognition and Behaviour, Nijmegen, Netherlands. Electronic address: p.deweerd@maastrichtuniversity.nl.
M J RobertsDonders Inst for Brain, Cognition and Behaviour, Nijmegen, Netherlands. Electronic address: mark.roberts@donders.ru.nl.
R OostenveldDonders Inst for Brain, Cognition and Behaviour, Nijmegen, Netherlands. Electronic address: r.oostenveld@donders.ru.nl.
P FriesDonders Inst for Brain, Cognition and Behaviour, Nijmegen, Netherlands; Ernst Strüngmann Inst for Neurosci, Frankfurt, Germany. Electronic address: pascal.fries@esi-frankfurt.de.
G SchalkNat Ctr for Adapt Neurotech, Wadsworth Center, NY State Dept of Health, Albany, NY, USA; Dept of Biomed Sci, State Univ of New York at Albany, Albany, NY, USA; Dept of Neurology, Albany Medical College, Albany, NY, USA. Electronic address: gschalk@neurotechcenter.org.
Radboud University Nijmegen · NLWadsworth Center · USAlbany Medical Center Hospital · USMaastricht University · NLNew York State Department of Health · USSUNY Downstate Health Sciences University · USUniversity at Albany, State University of New York · USUniversity of Florida · US

Funding

Training and DisseminationP41EB018783 · NIBIB · WADSWORTH CENTER · PI Jonathan Saul Carp · 2014 to 2026
$15.4M
GENERAL PURPOSE BRAIN-COMPUTER INTERFACE(BCI)SYSTEMR01EB000856 · NIBIB · WADSWORTH CENTER · PI SCHALK, GERWIN, WOLPAW, JONATHAN RICKEL · 2002 to 2012
$9.3M
BCI2000: SOFTWARE FOR BRAIN-COMPUTER INTERFACE RESEARCHR01EB006356 · NIBIB · WADSWORTH CENTER · PI SCHALK, GERWIN · 2006 to 2009
$1.3M
NIBIB NIH HHS P41 EB018783NIBIB NIH HHS R01 EB000856NIBIB NIH HHS R01 EB006356
6 · The paper itself

Abstract

Performing different tasks, such as generating motor movements or processing sensory input, requires the recruitment of specific networks of neuronal populations. Previous studies suggested that power variations in the alpha band (8-12Hz) may implement such recruitment of task-specific populations by increasing cortical excitability in task-related areas while inhibiting population-level cortical activity in task-unrelated areas (Klimesch et al., 2007; Jensen and Mazaheri, 2010). However, the precise temporal and spatial relationships between the modulatory function implemented by alpha oscillations and population-level cortical activity remained undefined. Furthermore, while several studies suggested that alpha power indexes task-related populations across large and spatially separated cortical areas, it was largely unclear whether alpha power also differentially indexes smaller networks of task-related neuronal populations. Here we addressed these questions by investigating the temporal and spatial relationships of electrocorticographic (ECoG) power modulations in the alpha band and in the broadband gamma range (70-170Hz, indexing population-level activity) during auditory and motor tasks in five human subjects and one macaque monkey. In line with previous research, our results confirm that broadband gamma power accurately tracks task-related behavior and that alpha power decreases in task-related areas. More importantly, they demonstrate that alpha power suppression lags population-level activity in auditory areas during the auditory task, but precedes it in motor areas during the motor task. This suppression of alpha power in task-related areas was accompanied by an increase in areas not related to the task. In addition, we show for the first time that these differential modulations of alpha power could be observed not only across widely distributed systems (e.g., motor vs. auditory system), but also within the auditory system. Specifically, alpha power was suppressed in the locations within the auditory system that most robustly responded to particular sound stimuli. Altogether, our results provide experimental evidence for a mechanism that preferentially recruits task-related neuronal populations by increasing cortical excitability in task-related cortical areas and decreasing cortical excitability in task-unrelated areas. This mechanism is implemented by variations in alpha power and is common to humans and the non-human primate under study. These results contribute to an increasingly refined understanding of the mechanisms underlying the selection of the specific neuronal populations required for task execution.

Indexed as

Task Performance and AnalysisAdultAlpha RhythmAnimalsBrain MappingCortical ExcitabilityElectrocorticographyFemaleGamma RhythmHumansMacacaMaleMiddle AgedNerve NetSpatio-Temporal AnalysisSpecies SpecificityAlpha oscillationsAuditory processingBroadband gammaElectrocorticography (ECoG)Information gating

Identifiers

PMID27057960
PMCPMC4912924
OpenAlexW2327027521

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.