Evidence map›Paper›PMID 33597576›Full record

ArticleScientific reports2021

An analysis framework for the integration of broadband NIRS and EEG to assess neurovascular and neurometabolic coupling.

P Pinti, M F Siddiqui, A D Levy, E J H Jones, Ilias Tachtsidis

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06557720 (Exploring the Characteristics of Epileptogenic Foci in Drug-Resistant Epilepsy Using Multimodal Imaging Techniques), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.6field-weighted citation impact, top 7% 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.

NCT06557720 recruitingnot on this mapstarted 2024, after this paper: background citation

Exploring the Characteristics of Epileptogenic Foci in Drug-Resistant Epilepsy Using Multimodal Imaging Techniques: A Prospective Observational Cohort Study

Typeobservational_patient_registrySponsorXijing HospitalRan2024 to 2027Enrolled50ConditionsDrug Resistant Epilepsy, Magnetic Resonance Imaging, Electroencephalogram (EEG)
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 38 citations in OpenAlex.

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  9. Spatiotemporal features of neurovascular (un)coupling with stimulus-induced activity and hypercapnia challenge in cerebral cortex and olfactory bulb.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
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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

5 authors at 3 institutions in 2 countries.

P Pinti *Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
M F Siddiqui *Centre for Brain and Cognitive Development, Birkbeck College, University of London, London, UK.
A D LevyWellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, UK.
E J H JonesCentre for Brain and Cognitive Development, Birkbeck College, University of London, London, UK.
Ilias TachtsidisDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK. i.tachtsidis@ucl.ac.uk.
Birkbeck, University of London · GBUniversity College London · GBWellcome Centre for Human Neuroimaging · GB

Funding

Medical Research Council MR/S003134/1Wellcome TrustWellcome Trust 104580/Z/14/Z
6 · The paper itself

Abstract

With the rapid growth of optical-based neuroimaging to explore human brain functioning, our research group has been developing broadband Near Infrared Spectroscopy (bNIRS) instruments, a technological extension to functional Near Infrared Spectroscopy (fNIRS). bNIRS has the unique capacity of monitoring brain haemodynamics/oxygenation (measuring oxygenated and deoxygenated haemoglobin), and metabolism (measuring the changes in the redox state of cytochrome-c-oxidase). When combined with electroencephalography (EEG), bNIRS provides a unique neuromonitoring platform to explore neurovascular coupling mechanisms. In this paper, we present a novel pipeline for the integrated analysis of bNIRS and EEG signals, and demonstrate its use on multi-channel bNIRS data recorded with concurrent EEG on healthy adults during a visual stimulation task. We introduce the use of the Finite Impulse Response functions within the General Linear Model for bNIRS and show its feasibility to statistically localize the haemodynamic and metabolic activity in the occipital cortex. Moreover, our results suggest that the fusion of haemodynamic and metabolic measures unveils additional information on brain functioning over haemodynamic imaging alone. The cross-correlation-based analysis of interrelationships between electrical (EEG) and haemodynamic/metabolic (bNIRS) activity revealed that the bNIRS metabolic signal offers a unique marker of brain activity, being more closely coupled to the neuronal EEG response.

Indexed as

BrainBrain MappingElectron Transport Complex IVHemodynamicsHumansModels, StatisticalNeuroimagingNeurovascular CouplingSpectroscopy, Near-InfraredElectron Transport Complex IV

Identifiers

PMID33597576
PMCPMC7889942
OpenAlexW3131670998

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.