Evidence map›Paper›PMID 40463201›Full record

ArticlebioRxiv : the preprint server for biology2025

Alcohol use disorder is associated with increases in frontocentral phase-amplitude coupling strength during resting state.

C D Richard, B Porjesz, J L Meyers, A Bingly, D B Chorlian, C Kamarajan, G Pandey, W Kuang, A K Pandey, S Kinreich

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

C D RichardSUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY 11203-2098 USA.ORCID 0000-0002-1981-1714
B PorjeszSUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY 11203-2098 USA.
J L MeyersSUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY 11203-2098 USA.
A BinglySUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY 11203-2098 USA.
D B ChorlianSUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY 11203-2098 USA.
C KamarajanSUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY 11203-2098 USA.
G PandeySUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY 11203-2098 USA.
W KuangSUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY 11203-2098 USA.
A K PandeySUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY 11203-2098 USA.
S KinreichSUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY 11203-2098 USA.

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JAY Arnold TISCHFIELD · 1989 to 2026
$162.7M
Predicting AUD development, risk and resilience phenotypes through integration of multi-modal COGA dataR01AA029448 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI KINREICH, SIVAN · 2022 to 2025
$1.9M
NIAAA NIH HHS R01 AA029448NIAAA NIH HHS U10 AA008401
6 · The paper itself

Abstract

Compromised functional connectivity in the brain seen in fMRI and EEG coherence is a key feature of alcohol use disorder (AUD). Phase-amplitude coupling (PAC) represents another mechanism by which functional connectivity is achieved, and to date, the role played by PAC in understanding the development of AUD has yet to be investigated. In the current study, we compare PAC strengths between participants with severe AUD, defined as presenting with 6 or more symptoms (DSM-5), and unaffected controls. Associations between phase-amplitude coupling and AUD status were assessed using frontal EEG signals acquired during the resting state eyes closed condition as part of the Collaborative Study on the Genetics of Alcoholism (COGA). COGA is a national project following families affected with AUD and comparison families for over 35 years with data collection in multiple domains. COGA participants between 25 and 50 years old with severe AUD were compared to an age-matched group of unaffected controls (Women: N = 360; Men: N = 406). PAC calculations were made on EEG recordings from midfrontal channel FZ to generate high resolution comodulograms covering phase frequencies between 0.1-13 Hz and amplitude frequencies between 4-50 Hz. Comodulograms were generated for each 30 second EEG segment for a given visit. Average comodulogram for a visit was calculated for the first two minutes of EEG in the resting state condition for subsequent statistical analyses. PAC differences between AUD and unaffected controls were assessed at each frequency pair using Mann-Whitney test, and the resulting effect sizes and p-values were used to generate difference comodulograms and significance comodulograms, respectively. Results showed that severe AUD was associated with greater alpha-gamma PAC in both men and women compared to the unaffected groups. Men with AUD exhibited significant increases in PAC across large parts of theta-gamma. In women with AUD, increases in theta-gamma PAC were restricted to smaller domains, and accompanied significant decreases in neighboring theta-gamma subdomains. PAC strength in theta-alpha and alpha-beta frequency pair domains were also significantly greater in AUD for both men and women. The AUD-associated changes in PAC strength within the alpha-gamma, theta-beta, alpha-beta, and to a lesser degree in theta-gamma domains indicates some form of aberrant hyperconnectivity between networks within the medial prefrontal cortex during resting state of the brain.

Indexed as

alcoholismbrain oscillatory dynamicscross-frequency couplingphase-amplitude couplingresting statevolition

Identifiers

PMID40463201
PMCPMC12132554

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.