Evidence map›Paper›PMID 38137124›Full record

ArticleBrain sciences2023

Differences in Brain Network Topology Based on Alcohol Use History in Adolescents.

Haley A Kirse, Mohsen Bahrami, Robert G Lyday, Sean L Simpson, Hope Peterson-Sockwell, Jonathan H Burdette, Paul J Laurienti

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Triple network dynamics and future alcohol consumption in adolescents.Alcohol, clinical & experimental research · 2025
    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

7 authors at 1 institution in 1 country.

Haley A KirseLaboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.ORCID 0000-0002-0525-9949
Mohsen BahramiLaboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.
Robert G LydayLaboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.
Sean L SimpsonLaboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.
Hope Peterson-SockwellLaboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.
Jonathan H BurdetteLaboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.
Paul J LaurientiLaboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.ORCID 0000-0001-8871-9658
Wake Forest University · US

Funding

Wake Forest Translational Alcohol Research Center (WF-TARC)P50AA026117 · NIAAA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Jeffrey L. Weiner · 2018 to 2026
$16.2M
MULTI-DISCIPLINARY TRAINING IN THE BIOLOGY OF ALCOHOLISMT32AA007565 · NIAAA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BRIAN A MCCOOL · 1994 to 2026
$10.1M
CRCNS: Functional Brain Networks with Tensioned Stability for Optimal ProcessingR01AA029926 · NIAAA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOLLT, ERIK, LAURIENTI, PAUL · 2021 to 2024
$1.3M
Involvement of microglial α7AChR in binge alcohol modulation of gut dysbiosisR21AA029925 · NIAAA · SETON HALL UNIVERSITY · PI CHANG, SULIE L., KHAN, MOHAMMED A. S. · 2022 to 2023
$402k
NIAAA NIH HHS AA007565NIAAA NIH HHS AA026117NIAAA NIH HHS AA029925NIAAA NIH HHS P50 AA026117NIAAA NIH HHS R01 AA029926NIAAA NIH HHS T32 AA007565
6 · The paper itself

Abstract

Approximately 6 million youth aged 12 to 20 consume alcohol monthly in the United States. The effect of alcohol consumption in adolescence on behavior and cognition is heavily researched; however, little is known about how alcohol consumption in adolescence may alter brain function, leading to long-term developmental detriments. In order to investigate differences in brain connectivity associated with alcohol use in adolescents, brain networks were constructed using resting-state functional magnetic resonance imaging data collected by the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) from 698 youth (12-21 years; 117 hazardous drinkers and 581 no/low drinkers). Analyses assessed differences in brain network topology based on alcohol consumption in eight predefined brain networks, as well as in whole-brain connectivity. Within the central executive network (CEN), basal ganglia network (BGN), and sensorimotor network (SMN), no/low drinkers demonstrated stronger and more frequent connections between highly globally efficient nodes, with fewer and weaker connections between highly clustered nodes. Inverse results were observed within the dorsal attention network (DAN), visual network (VN), and frontotemporal network (FTN), with no/low drinkers demonstrating weaker connections between nodes with high efficiency and increased frequency of clustered nodes compared to hazardous drinkers. Cross-sectional results from this study show clear organizational differences between adolescents with no/low or hazardous alcohol use, suggesting that aberrant connectivity in these brain networks is associated with risky drinking behaviors.

Indexed as

adolescentsalcoholbrain networksfMRIresting-state connectivity

Identifiers

PMID38137124
PMCPMC10741456
OpenAlexW4389335950

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.