Evidence map›Paper›PMID 27554531›Full record

ArticleNeuroImage2017

Phase-amplitude coupling and the BOLD signal: A simultaneous intracranial EEG (icEEG) - fMRI study in humans performing a finger-tapping task.

T Murta, U J Chaudhary, Tim M Tierney, A Dias, M Leite, D W Carmichael, P Figueiredo, L Lemieux

Open access · hybridAbstract read
In one paragraph

Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  14. The Functional Role of Thalamocortical Coupling in the Human Motor Network.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Age-related functional brain changes inNeuroImage. Clinical · 2018
    Article
  20. EEG-Informed fMRI: A Review of Data Analysis Methods.Frontiers in human neuroscience · 2018
    Review
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

8 authors at 4 institutions in 2 countries.

T MurtaDept. of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, United Kingdom; Institute for Systems and Robotics and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal. Electronic address: teresa.murta.11@ucl.ac.uk.
U J ChaudharyDept. of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, United Kingdom.
Tim M TierneyUCL Institute of Child Health, London, United Kingdom.
A DiasInstitute for Systems and Robotics and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.
M LeiteDept. of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, United Kingdom; Institute for Systems and Robotics and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.
D W CarmichaelUCL Institute of Child Health, London, United Kingdom.
P FigueiredoInstitute for Systems and Robotics and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.
L LemieuxDept. of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, United Kingdom.
University College London · GBEpilepsy Research UK · GBINESC TEC · PTUniversity of Lisbon · PT

Funding

Medical Research Council G0200216Medical Research Council G0301067
6 · The paper itself

Abstract

Although it has been consistently found that local blood-oxygen-level-dependent (BOLD) changes are better modelled by a combination of the power of multiple EEG frequency bands rather than by the power of a unique band alone, the local electro-haemodynamic coupling function is not yet fully characterised. Electrophysiological studies have revealed that the strength of the coupling between the phase of low- and the amplitude of high- frequency EEG activities (phase-amplitude coupling - PAC) has an important role in brain function in general, and in preparation and execution of movement in particular. Using electrocorticographic (ECoG) and functional magnetic resonance imaging (fMRI) data recorded simultaneously in humans performing a finger-tapping task, we investigated the single-trial relationship between the amplitude of the BOLD signal and the strength of PAC and the power of α, β, and γ bands, at a local level. In line with previous studies, we found a positive correlation for the γ band, and negative correlations for the PAC

Indexed as

Brain WavesMotor ActivityBrain MappingElectrocorticographyElectroencephalographyEpilepsyFemaleFingersHumansMagnetic Resonance ImagingMaleMotor CortexPsychomotor PerformanceSignal Processing, Computer-AssistedElectro-haemodynamic couplingfMRIIntracranial EEGPhase–amplitude coupling

Identifiers

PMID27554531
PMCPMC5312786
OpenAlexW2507394233

What OpenQuestion holds

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LicenceCC BY
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.