Evidence map›Paper›PMID 19748744›Full record

ArticleDrug and alcohol dependence2010

EEG spectral phenotypes: heritability and association with marijuana and alcohol dependence in an American Indian community study.

Cindy L Ehlers, Evelyn Phillips, Ian R Gizer, David A Gilder, Kirk C Wilhelmsen

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Whole genome sequence association and ancestry-informed polygenic profile of EEG alpha in a Native American population.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017
    Article
  5. Article
  6. Article
  7. Low voltage alpha EEG phenotype is associated with reduced amplitudes of alpha event-related oscillations, increased cortical phase synchrony, and a low level of response to alcohol.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2015
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Linkage analyses of stimulant dependence, craving, and heavy use in American Indians.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2011
    Article
  15. Article
  16. Binge drinking effects on EEG in young adult humans.International journal of environmental research and public health · 2010
    Article
  17. Article
  18. Interaction of sex and cannabis in adultBrain and neuroscience advances
    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

5 authors at 2 institutions in 1 country.

Cindy L EhlersDepartment of Molecular and Integrative Neurosciences, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA. cindye@scripps.edu
Evelyn Phillips
Ian R Gizer
David A Gilder
Kirk C Wilhelmsen
Scripps Research Institute · USUniversity of North Carolina at Chapel Hill · US

Funding

RISK FACTORS FOR ALCOHOLISM IN NATIVE AMERICANSR37AA010201 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI EHLERS, CINDY L · 2007 to 2015
$7.0M
RISK FACTORS FOR ALCOHOLISM IN NATIVE AMERICANSR01AA010201 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI EHLERS, CINDY L · 1994 to 2006
$3.8M
ADOLESCENT MARIJUANA USE IN NATIVE AMERICANSR01DA019333 · NIDA · SCRIPPS RESEARCH INSTITUTE, THE · PI EHLERS, CINDY L · 2004 to 2008
$2.9M
NIAAA NIH HHS AA010201NIAAA NIH HHS R01 AA010201NIAAA NIH HHS R37 AA010201NIDA NIH HHS DA019333NIDA NIH HHS R01 DA019333
6 · The paper itself

Abstract

Native Americans have some of the highest rates of marijuana and alcohol use and abuse, yet neurobiological measures associated with dependence on these substances in this population remain unknown. The present investigation evaluated the heritability of spectral characteristics of the electroencephalogram (EEG) and their correlation with marijuana and alcohol dependence in an American Indian community. Participants (n=626) were evaluated for marijuana (MJ) and alcohol (ALC) dependence, as well as other psychiatric disorders. EEGs were collected from six cortical sites and spectral power determined in five frequency bands (delta 1.0-4.0 Hz, theta 4.0-7.5 Hz, alpha 7.5-12.0 Hz, low beta 12.0-20.0 Hz and high beta/gamma 20-50 Hz). The estimated heritability (h(2)) of the EEG phenotypes was calculated using SOLAR, and ranged from 0.16 to 0.67. Stepwise linear regression was used to detect correlations between MJ and ALC dependence and the spectral characteristics of the EEG using a model that took into account: age, gender, Native American Heritage (NAH) and a lifetime diagnosis of antisocial personality and/or conduct disorder (ASPD/CD). Increases in spectral power in the delta frequency range, were significantly correlated with gender (p<0.001) and marijuana dependence (p<0.003). Gender, age, NAH and ASPD/CD were all significantly (p<0.001) correlated with theta, alpha and beta band power, whereas alcohol dependence (p<0.01), gender (p<0.001), and ASPD/CD (p<0.001) were all correlated with high beta/gamma band power. These data suggest that the traits of EEG delta and high beta/gamma activity are correlated with MJ dependence and alcohol dependence, respectively, in this community sample of Native Americans.

Indexed as

ElectroencephalographyAdolescentAdultAgedAlcoholismBrainEducational StatusFemaleHumansIndians, North AmericanMaleMarijuana AbuseMiddle AgedPhenotypeRegression Analysis

Identifiers

PMID19748744
PMCPMC2815012
OpenAlexW1983375406

What OpenQuestion holds

Textmetadata
LicenceTDM
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.