Evidence map›Paper›PMID 22426347›Full record

ArticleNeuroImage2012

The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy.

Evgeniya Kirilina, Alexander Jelzow, Angela Heine, Michael Niessing, Heidrun Wabnitz, Rüdiger Brühl, Bernd Ittermann, Arthur M Jacobs, Ilias Tachtsidis

Open access · hybridAbstract read
In one paragraph

Article in NeuroImage, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 265 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
265citing papers in PubMed, 2 pooled it
33.7field-weighted citation impact, top 1% 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

265 citing papers in PubMed, 2 syntheses or guidelines pooled it, 493 citations in OpenAlex.

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205 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 2 countries.

Evgeniya KirilinaFree Univ. Berlin, Habelschwerdter Allee 45, 14195 Berlin, Germany. Evgeniya.Kirilina@fu-berlin.de
Alexander Jelzow
Angela Heine
Michael Niessing
Heidrun Wabnitz
Rüdiger Brühl
Bernd Ittermann
Arthur M Jacobs
Ilias Tachtsidis
Freie Universität Berlin · DEPhysikalisch-Technische Bundesanstalt · DEUniversity College London · GB

Funding

Wellcome TrustWellcome Trust 088429/Z/09/Z
6 · The paper itself

Abstract

A major methodological challenge of functional near-infrared spectroscopy (fNIRS) is its high sensitivity to haemodynamic fluctuations in the scalp. Superficial fluctuations contribute on the one hand to the physiological noise of fNIRS, impairing the signal-to-noise ratio, and may on the other hand be erroneously attributed to cerebral changes, leading to false positives in fNIRS experiments. Here we explore the localisation, time course and physiological origin of task-evoked superficial signals in fNIRS and present a method to separate them from cortical signals. We used complementary fNIRS, fMRI, MR-angiography and peripheral physiological measurements (blood pressure, heart rate, skin conductance and skin blood flow) to study activation in the frontal lobe during a continuous performance task. The General Linear Model (GLM) was applied to analyse the fNIRS data, which included an additional predictor to account for systemic changes in the skin. We found that skin blood volume strongly depends on the cognitive state and that sources of task-evoked systemic signals in fNIRS are co-localized with veins draining the scalp. Task-evoked superficial artefacts were mainly observed in concentration changes of oxygenated haemoglobin and could be effectively separated from cerebral signals by GLM analysis. Based on temporal correlation of fNIRS and fMRI signals with peripheral physiological measurements we conclude that the physiological origin of the systemic artefact is a task-evoked sympathetic arterial vasoconstriction followed by a decrease in venous volume. Since changes in sympathetic outflow accompany almost any cognitive and emotional process, we expect scalp vessel artefacts to be present in a wide range of fNIRS settings used in neurocognitive research. Therefore a careful separation of fNIRS signals originating from activated brain and from scalp is a necessary precondition for unbiased fNIRS brain activation maps.

Indexed as

ArtifactsAdultBlood VolumeCerebral AngiographyCerebrovascular CirculationData Interpretation, StatisticalElectrocardiographyFemaleGalvanic Skin ResponseHeart RateHemodynamicsHumansLinear ModelsMagnetic Resonance AngiographyMagnetic Resonance ImagingMaleOxyhemoglobins

Identifiers

PMID22426347
PMCPMC3348501
OpenAlexW2054996700

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.