Evidence map›Paper›PMID 33528598›Full record

ArticleExperimental brain research2021

Measures of prefrontal functional near-infrared spectroscopy in visuomotor learning.

Angelica M Tinga, Maria-Alena Clim, Tycho T de Back, Max M Louwerse

Open access · hybridAbstract read
In one paragraph

Article in Experimental brain research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

Angelica M TingaDepartment of Cognitive Science and Artificial Intelligence, Tilburg University, Dante Building, Room D 330, Warandelaan 2, 5037 AB, Tilburg, The Netherlands. A.M.Tinga@uvt.nl.ORCID http://orcid.org/0000-0001-6389-8477
Maria-Alena ClimDepartment of Cognitive Science and Artificial Intelligence, Tilburg University, Dante Building, Room D 330, Warandelaan 2, 5037 AB, Tilburg, The Netherlands.
Tycho T de BackDepartment of Cognitive Science and Artificial Intelligence, Tilburg University, Dante Building, Room D 330, Warandelaan 2, 5037 AB, Tilburg, The Netherlands.
Max M LouwerseDepartment of Cognitive Science and Artificial Intelligence, Tilburg University, Dante Building, Room D 330, Warandelaan 2, 5037 AB, Tilburg, The Netherlands.
Tilburg University · NL

Funding

the European Union, OP Zuid, the Ministry of Economic Affairs, the Province of Noord-Brabant and the municipalities of Tilburg and Gilze Rijen PROJ-00076
6 · The paper itself

Abstract

Functional near-infrared spectroscopy (fNIRS) is a promising technique for non-invasively assessing cortical brain activity during learning. This technique is safe, portable, and, compared to other imaging techniques, relatively robust to head motion, ocular and muscular artifacts and environmental noise. Moreover, the spatial resolution of fNIRS is superior to electroencephalography (EEG), a more commonly applied technique for measuring brain activity non-invasively during learning. Outcomes from fNIRS measures during learning might therefore be both sensitive to learning and to feedback on learning, in a different way than EEG. However, few studies have examined fNIRS outcomes in learning and no study to date additionally examined the effects of feedback. To address this apparent gap in the literature, the current study examined prefrontal cortex activity measured through fNIRS during visuomotor learning and how this measure is affected by task feedback. Activity in the prefrontal cortex decreased over the course of learning while being unaffected by task feedback. The findings demonstrate that fNIRS in the prefrontal cortex is valuable for assessing visuomotor learning and that this measure is robust to task feedback. The current study highlights the potential of fNIRS in assessing learning even under different task feedback conditions.

Indexed as

Prefrontal CortexSpectroscopy, Near-InfraredElectroencephalographyHumansLearningFeedbackNear-infrared spectroscopy (fNIRS)Prefrontal cortexVisuomotor learning

Identifiers

PMID33528598
PMCPMC8068645
OpenAlexW3126353521

What OpenQuestion holds

Textmetadata
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.