Evidence map›Paper›PMID 28699704›Full record

ArticleAddiction biology2018

Aberrant blood-oxygen-level-dependent signal oscillations across frequency bands characterize the alcoholic brain.

Jui-Yang Hong, Eva M Müller-Oehring, Adolf Pfefferbaum, Edith V Sullivan, Dongjin Kwon, Tilman Schulte

Open access · greenAbstract read
In one paragraph

Article in Addiction biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  6. Review
  7. Article
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  9. Article
  10. Alterations of Brain Signal Oscillations in Older Individuals with HIV Infection and Parkinson's Disease.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2021
    Article
  11. 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

6 authors at 2 institutions in 1 country.

Jui-Yang HongNeuroscience Program, Center for Health Sciences, SRI International, Menlo Park, CA, USA.ORCID 0000-0002-0369-2634
Eva M Müller-OehringNeuroscience Program, Center for Health Sciences, SRI International, Menlo Park, CA, USA.
Adolf PfefferbaumNeuroscience Program, Center for Health Sciences, SRI International, Menlo Park, CA, USA.
Edith V SullivanDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA.
Dongjin KwonNeuroscience Program, Center for Health Sciences, SRI International, Menlo Park, CA, USA.
Tilman SchulteNeuroscience Program, Center for Health Sciences, SRI International, Menlo Park, CA, USA.
SRI International · USStanford University · US

Funding

CNS DEFICITS: INTERACTION OF AGE AND ALCOHOLISMR01AA005965 · NIAAA · STANFORD UNIVERSITY · PI PFEFFERBAUM, ADOLF, ZAHR, NATALIE M · 1985 to 2025
$13.0M
CNS DEFICITS: INTERACTION OF AGE AND ALCOHOLISMR37AA005965 · NIAAA · STANFORD UNIVERSITY · PI PFEFFERBAUM, ADOLF · 1996 to 2005
$4.4M
Neurodegeneration and Brain Function in Aging with HIV and Parkinson's DiseaseR01AA023165 · NIAAA · SRI INTERNATIONAL · PI SCHULTE, TILMAN · 2014 to 2017
$3.0M
Translational Studies of Brain Circuitry Disrupted by AlcoholismK05AA017168 · NIAAA · STANFORD UNIVERSITY · PI SULLIVAN, EDITH VIONI · 2008 to 2017
$2.2M
Neural Correlates of Implicit Processes of Attention & Emotion in AlcoholismR01AA018022 · NIAAA · SRI INTERNATIONAL · PI SCHULTE, TILMAN · 2008 to 2012
$2.1M
NIAAA NIH HHS K05 AA017168NIAAA NIH HHS R01 AA005965NIAAA NIH HHS R01 AA018022NIAAA NIH HHS R01 AA023165NIAAA NIH HHS R37 AA005965
6 · The paper itself

Abstract

Chronic alcoholism is associated with widespread regional differences from controls in brain activity and connectivity dynamics measured by blood-oxygen-level-dependent (BOLD) signals. Identification of alcoholism-related neurofunctional power dynamics using functional magnetic resonance imaging (fMRI) that relate to cognition and behavior may serve as biomarkers of alcoholism. Previously, resting-state fMRI studies examined BOLD signals at a single low-frequency (LF) bandwidth. BOLD signals, however, oscillate systematically at different frequencies and are organized in a resting brain where LF oscillation facilitates long-distance communication between regions across cortical regions, whereas high-frequency (HF) oscillation occurs in closely localized, subcortical areas. Using a frequency power quantification approach, we investigated whether the organization of BOLD signal oscillations across all measured frequency bandwidths is altered in alcoholism and relates to cognitive performance. Frequency-dependent oscillation power differences between 56 sober alcoholics and 56 healthy controls occurred for all frequency bands. Alcoholics exhibited greater frequency oscillation power in the orbitofrontal cortex and less power in the posterior insula within the HF bandwidth than controls. Aberrant orbitofrontal HF power was associated with poorer memory performance and slower psychomotor speed in alcoholics. Middle-frequency and LF power proved sensitive in detecting altered frequency oscillation dynamics in parietal and postcentral cortical regions of alcoholics. This study is novel in identifying alcohol-related differences in BOLD oscillation power of the full fMRI frequency bandwidth. Specifically, HF power aberrations were associated with poorer cognitive functioning in alcoholism and may serve as a biomarker for identifying neural targets for repair.

Indexed as

AdultAlcoholismBrainCase-Control StudiesCerebral CortexCognitionFemaleFunctional NeuroimagingHumansMagnetic Resonance ImagingMaleMiddle AgedPrefrontal CortexalcoholicsBOLD oscillationfMRI

Identifiers

PMID28699704
PMCPMC6560182
OpenAlexW2736215905

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.