Evidence map›Paper›PMID 28819796›Full record

ArticleJournal of neurology2017

Simultaneous EEG-PET-fMRI measurements in disorders of consciousness: an exploratory study on diagnosis and prognosis.

Daniel Golkowski, Katharina Merz, Caroline Mlynarcik, Tobias Kiel, Barbara Schorr, Alex Lopez-Rolon, Mathias Lukas, Denis Jordan, Andreas Bender, Rüdiger Ilg

Abstract read
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In one paragraph

Article in Journal of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

23 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
  2. Article
  3. [Guangdong consensus on integrated Chinese and Western medicine management of prolonged disorders of consciousness].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
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  7. The Role of [Diagnostics (Basel, Switzerland) · 2025
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  19. Multi-scale neural decoding and analysis.Journal of neural engineering · 2021
    Review
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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

10 authors at 3 institutions in 1 country.

Daniel GolkowskiNeurologische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, 81675, Munich, Germany. Golkowski@tum.de.ORCID http://orcid.org/0000-0002-7569-7936
Katharina MerzKlinik für Anästhesiologie, Klinikum rechts der Isar der Technischen Universität München, 81675, Munich, Germany.
Caroline MlynarcikNeurologische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, 81675, Munich, Germany.
Tobias KielKlinik für Anästhesiologie, Klinikum rechts der Isar der Technischen Universität München, 81675, Munich, Germany.
Barbara SchorrInstitut für biologische und medizinische Psychologie, Universität Ulm, 89081, Ulm, Germany.
Alex Lopez-RolonNeurologische Klinik und Poliklinik, Klinikum der Universität München, 81377, Munich, Germany.
Mathias LukasNuklearmedizinische Klinik, Klinikum rechts der Isar der Technischen Universität München, 81675, Munich, Germany.
Denis JordanKlinik für Anästhesiologie, Klinikum rechts der Isar der Technischen Universität München, 81675, Munich, Germany.
Andreas BenderTherapiezentrum Burgau, 89331, Burgau, Germany.
Rüdiger IlgNeurologische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, 81675, Munich, Germany.
TUM Klinikum · DETherapiezentrum Burgau · DEUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies could demonstrate that functional magnetic resonance imaging (fMRI), fludeoxyglucose positron emission tomography (FDG-PET), and electroencephalography (EEG) measures contain information about patients suffering from disorders of consciousness (DOC) and thus improve the clinical diagnosis. Additionally, the technical modalities were able to predict the outcome of patients. However, most studies lack proven reproducibility in a clinical setting. We here applied a standardized combined EEG/fMRI/FDG-PET measurement to a cohort of 20 patients suffering from DOC and focused on parameters that have been demonstrated to contain information about diagnosis and prognosis of these patients. We evaluated EEG band power, fMRI connectivity in networks associated with consciousness and sensory networks, as well as absolute glucose uptake in the brain as potential markers of preserved consciousness or favorable outcome. Acquired data were analyzed by a principal component analysis to identify the most important markers in a hypothesis-free manner. These were then analyzed with statistical group comparisons. Absolute FDG-PET could prove that glucose metabolism in the occipital lobe is significantly higher in minimally conscious than in vegetative state patients. Delta band power showed to be prognostic marker for a favorable outcome. We conclude that absolute FDG-PET is a suitable tool to evaluate the level consciousness in DOC patients. Additionally, we propose delta band power as marker of a favorable outcome in DOC patients. We suggest that these findings promote a standardized technical evaluation of DOC patients to improve diagnosis and prognosis.

Indexed as

AdolescentAdultAgedAged, 80 and overBrain WavesConsciousness DisordersElectroencephalographyFemaleFluorodeoxyglucose F18HumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedOxygenPositron-Emission TomographyFluorodeoxyglucose F18OxygenBOLDDiagnosisDisorders of consciousnessEEGFDG-PETfMRIPrognosis

Identifiers

PMID28819796
OpenAlexW2745446270

What OpenQuestion holds

Textmetadata
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.