Evidence map›Paper›PMID 30927607›Full record

ArticleNeuroImage. Clinical2019

Spectral entropy indicates electrophysiological and hemodynamic changes in drug-resistant epilepsy - A multimodal MREG study.

H Helakari, J Kananen, N Huotari, L Raitamaa, T Tuovinen, V Borchardt, A Rasila, V Raatikainen, T Starck, T Hautaniemi and 7 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 39 citations in OpenAlex.

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  18. 15 Years MR-encephalography.Magma (New York, N.Y.) · 2021
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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

17 authors at 1 institution in 1 country.

H HelakariOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland. Electronic address: heta.helakari@oulu.fi.
J KananenOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland.
N HuotariOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland.
L RaitamaaOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland.
T TuovinenOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland.
V BorchardtOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland.
A RasilaOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland.
V RaatikainenOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland; Unit of Clinical Neurophysiology, Oulu University Hospital, Finland.
T StarckOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland; Unit of Clinical Neurophysiology, Oulu University Hospital, Finland.
T HautaniemiOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland.
T MyllyläOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Biomedical Sensors in Translational Research, Optoelectronics and Measurement Techniques Unit, University of Oulu, Oulu, Finland.
O TervonenOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland.
S RytkyUnit of Clinical Neurophysiology, Oulu University Hospital, Finland.
T KeinänenOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland; Unit of Clinical Neurophysiology, Oulu University Hospital, Finland.
V KorhonenOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland.
V KiviniemiOulu Functional NeuroImaging (OFNI), Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Medical Imaging, Physics and Technology (MIPT), The Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland.
H AnsakorpiResearch Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland; Neurology Clinic, Oulu University Hospital, Oulu, Finland; Medical Research Center (MRC), Oulu, Finland.
Oulu University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEpilepsy causes measurable irregularity over a range of brain signal frequencies, as well as autonomic nervous system functions that modulate heart and respiratory rate variability. Imaging dynamic neuronal signals utilizing simultaneously acquired ultra-fast 10 Hz magnetic resonance encephalography (MREG), direct current electroencephalography (DC-EEG), and near-infrared spectroscopy (NIRS) can provide a more comprehensive picture of human brain function. Spectral entropy (SE) is a nonlinear method to summarize signal power irregularity over measured frequencies. SE was used as a joint measure to study whether spectral signal irregularity over a range of brain signal frequencies based on synchronous multimodal brain signals could provide new insights in the neural underpinnings of epileptiform activity.

methodsTen patients with focal drug-resistant epilepsy (DRE) and ten healthy controls (HC) were scanned with 10 Hz MREG sequence in combination with EEG, NIRS (measuring oxygenated, deoxygenated, and total hemoglobin: HbO, Hb, and HbT, respectively), and cardiorespiratory signals. After pre-processing, voxelwise SE

resultsRight thalamus, cingulate gyrus, inferior frontal gyrus, and frontal pole showed significantly higher SE

conclusionThis is the first study to show altered spectral entropy from synchronous MREG, EEG, and NIRS in DRE patients. Higher SE

Indexed as

AdultCerebrovascular CirculationDrug Resistant EpilepsyElectroencephalographyEntropyFemaleHemodynamicsHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingSpectroscopy, Near-InfraredYoung AdultEEGEpilepsyIrregularityNIRSParasympatheticUltra-fast fMRI

Identifiers

PMID30927607
PMCPMC6444290
OpenAlexW2922057228

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.