Evidence map›Paper›PMID 38021568›Full record

ArticleCureus2023

Abnormal Temporal Slowing on EEG Findings in Preclinical Alzheimer's Disease Patients With the ApoE4 Allele: A Pilot Study.

Nathan N Kim, Charissa Tan, Enze Ma, Selin Kutlu, Enrique Carrazana, Vajjhala Vimala, Jason Viereck, Kore Liow

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

8 authors at 2 institutions in 2 countries.

Nathan N KimNeurology, John A. Burns School of Medicine (JABSOM), University of Hawaii, Honolulu, USA.
Charissa TanNeurology, John A. Burns School of Medicine (JABSOM), University of Hawaii, Honolulu, USA.
Enze MaNeurology, John A. Burns School of Medicine (JABSOM), University of Hawaii, Honolulu, USA.
Selin KutluNeurology, John A. Burns School of Medicine (JABSOM), University of Hawaii, Honolulu, USA.
Enrique CarrazanaBrain Research, Innovation, & Translation Laboratory, Comprehensive Epilepsy Center & Video-EEG Epilepsy Monitoring Unit, Hawaii Pacific Neuroscience, Honolulu, USA.
Vajjhala VimalaNeurology, Hawaii Pacific Neuroscience, Honolulu, USA.
Jason ViereckBrain Research, Innovation, & Translation Laboratory, Hawaii Pacific Neuroscience, Honolulu, USA.
Kore LiowNeurology, Hawaii Pacific Neuroscience, Honolulu, USA.
University of Hawaiʻi at Mānoa · USUniversity of Hawaii System · US

Funding

The Role of gp120 on Cardiovascular Disease in People Living with HIVU54MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI Noemi Polgar · 2017 to 2026
$59.5M
Maternal Outcomes and Neurodevelopmental Effects of Antiepileptic Drugs (MONEAD)U01NS038455 · NINDS · STANFORD UNIVERSITY · PI MATTHEWS, ABIGAIL GOREN, MEADOR, KIMFORD J · 2012 to 2022
$27.7M
NEURODEVELOPMENT EFFECTS OF ANTIEPILEPTIC DRUGSR01NS038455 · NINDS · UNIVERSITY OF FLORIDA · PI MEADOR, KIMFORD J · 2000 to 2009
$12.0M
NIMHD NIH HHS U54 MD007601NINDS NIH HHS R01 NS038455NINDS NIH HHS U01 NS038455
6 · The paper itself

Abstract

introductionCurrently, there are limited accessible and cost-effective biomarkers for preclinical Alzheimer's disease (AD) patients. However, the apolipoprotein E (ApoE) polymorphic alleles can predict if someone is at high (e4), neutral (e3), or low (e2) genetic risk for developing AD. This study analyzed electroencephalogram (EEG) reports from individuals with various ApoE genotypes, aiming to identify EEG changes and patterns that could potentially serve as predictive markers for preclinical AD progression.

methodsParticipants aged 64-78 were selected from the patient database at an outpatient neurology clinic. Genotype studies were performed to determine ApoE status, followed by EEG analysis to identify any apparent trends. A case-control design was used, categorizing participants into cases (e2e3, e2e4, e3e4, e4e4) and controls (e3e3). EEG recordings were compared between the groups to identify potential differences in EEG characteristics, including abnormal temporal slowing, frequency, and ApoE genotype association.

resultsAmong 43 participants, 49% demonstrated evidence of abnormal temporal slowing on EEG. Of these, 48% displayed focal left temporal slowing, and 52% displayed bilateral temporal slowing. The right-sided temporal slowing was not observed. Among participants with abnormal slowing, 95% exhibited theta frequency (4-8 Hz) slowing, while only 4.8% displayed delta frequency (0-4 Hz) slowing. Among participants with the ApoE4 allele, 61.5% demonstrated evidence of abnormal slowing, compared to 43.3% without it. Furthermore, the presence of an ApoE4 allele was associated with a significantly higher proportion of males (54%) compared to those without it (13%) (p=0.009).

conclusionsAlthough we did not find a statistically significant difference in temporal EEG slowing among different ApoE genotypes, our findings suggest a potential association between temporal slowing on EEG and the presence of an ApoE4 allele in individuals with preclinical AD. These observations highlight the need for further exploration into the potential influence of the ApoE4 allele on EEG findings and the utility of EEG as a complementary diagnostic tool for AD. Longitudinal studies with large sample sizes are needed to establish the precise relationship between EEG patterns, ApoE genotypes, and AD progression.

Indexed as

alzheimer's diseaseapoe4dementiaelectroencephalogrampreclinicaltemporal slowing

Identifiers

PMID38021568
PMCPMC10679961
OpenAlexW4388001558

What OpenQuestion holds

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LicenceCC BY
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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.