Evidence map›Paper›PMID 36936394›Full record

ArticleNeurology. Clinical practice2023

EEG Correlates of Qualitative Hypermetabolic FDG-PET in Patients With Neurologic Disorders.

Khalil S Husari, Lilja Solnes, Mackenzie C Cervenka, Arun Venkatesan, John Probasco, Eva K Ritzl, Emily L Johnson

Open access · greenAbstract read
In one paragraph

Article in Neurology. Clinical practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Triphasic waves: To treat or not to treat?Clinical neurophysiology practice · 2025
    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

7 authors at 1 institution in 1 country.

Khalil S HusariDepartment of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD.ORCID https://orcid.org/0000-0003-4312-177X
Lilja SolnesDepartment of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD.
Mackenzie C CervenkaDepartment of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD.
Arun VenkatesanDepartment of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD.
John ProbascoDepartment of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD.
Eva K RitzlDepartment of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD.ORCID https://orcid.org/0000-0002-4988-6282
Emily L JohnsonDepartment of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD.
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Case reports and case series have described fluorodeoxyglucose (FDG)-PET findings in critically ill patients with rhythmic or periodic EEG patterns, with one reporting that metabolic activity increases with increasing lateralized periodic discharge (LPD) frequency. However, larger studies examining the relationship between FDG-PET hypermetabolism and rhythmic or periodic EEG patterns are lacking. The goal of this study was to investigate the association of FDG-PET hypermetabolism with electroencephalographic features in patients with neurologic disorders. Methods: This was a single-center, retrospective study of adult patients admitted with acute neurologic symptoms who underwent FDG-PET imaging and EEG monitoring within 24 hours. Subjects were divided into 2 groups based on their FDG-PET metabolism pattern: hypermetabolic activity vs hypometabolic or normal metabolic activity. Chi-square tests and logistic regression were used to determine the relationship of FDG-PET metabolism and EEG findings. Results: Sixty patients met the inclusion criteria and underwent 63 FDG-PET studies and EEGs. Twenty-seven studies (43%) showed hypermetabolism while 36 studies (57%) showed either hypometabolism or no abnormalities on FDG-PET. Subjects with hypermetabolic FDG-PET were more likely to have electrographic seizures (44% vs 8%, Discussion: Adults admitted with acute neurologic symptoms who had hypermetabolic FDG-PET were more likely to show electrographic seizures and LPDs, but not other rhythmic or periodic EEG patterns, compared with those with hypometabolic FDG-PET. Subjects with hypermetabolic FDG-PET and LPDs were more likely to have LPDs with concurrent electrographic seizures, LPDs with a spike morphology, and LPDs +F, compared with subjects with hypometabolic FDG-PET.

Identifiers

PMID36936394
PMCPMC10022725
OpenAlexW4324131531

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.