Evidence map›Paper›PMID 35677610›Full record

ArticleSTAR protocols2022

A TMS/EEG protocol for the causal assessment of the functions of the oscillatory brain rhythms in perceptual and cognitive processes.

Jelena Trajkovic, Francesco Di Gregorio, Eleonora Marcantoni, Gregor Thut, Vincenzo Romei

Abstract read
In one paragraph

Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Two Oscillatory Correlates of Attention Control in the Alpha-Band with Distinct Consequences on Perceptual Gain and Metacognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  6. Review
  7. Article
  8. Article
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.

Jelena TrajkovicCentro studi e ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum - Università di Bologna, Campus di Cesena, via Rasi e Spinelli, 176, 47521 Cesena, Italy.
Francesco Di GregorioUO Medicina riabilitativa e neuroriabilitazione, Azienda Unità Sanitaria Locale, 40139 Bologna, Italy.
Eleonora MarcantoniNeurophysiology Lab, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Via Pilastroni 4, 25125 Brescia, Italy.
Gregor ThutCentre for Cognitive Neuroimaging, School of Psychology and Neuroscience, University of Glasgow, 56-64 Hillhead Street, Glasgow G12 8QB, UK.
Vincenzo RomeiCentro studi e ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum - Università di Bologna, Campus di Cesena, via Rasi e Spinelli, 176, 47521 Cesena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combined use of transcranial magnetic stimulation (TMS), electroencephalogram (EEG), and behavioral performance allows investigation of causal relationships between neural markers and their functional relevance across a number of perceptual and cognitive processes. Here, we present a protocol for combining and applying these techniques on human subjects. We describe correlation approach and causal approach to disentangle the role of different oscillatory parameters, namely alpha frequency and amplitude that control for accuracy and metacognitive abilities, respectively, in a visual detection task. For complete details on the use and execution of this protocol, please refer to Di Gregorio et al. (2022).

Indexed as

ElectroencephalographyTranscranial Magnetic StimulationBrainCognitionHeadHumansBehaviorClinical ProtocolCognitive NeuroscienceNeuroscience

Identifiers

PMID35677610
PMCPMC9168164

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.