Evidence map›Paper›PMID 38839036›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2024

Altered Structural Connectivity and Functional Brain Dynamics in Individuals With Heavy Alcohol Use Elucidated via Network Control Theory.

S Parker Singleton, Puneet Velidi, Louisa Schilling, Andrea I Luppi, Keith Jamison, Linden Parkes, Amy Kuceyeski

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

S Parker SingletonDepartment of Radiology, Weill Cornell Medicine, New York University, New York, New York. Electronic address: sps253@cornell.edu.
Puneet VelidiDepartment of Statistics and Data Science, Cornell University, Ithaca, New York.
Louisa SchillingDepartment of Radiology, Weill Cornell Medicine, New York University, New York, New York.
Andrea I LuppiMontreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
Keith JamisonDepartment of Radiology, Weill Cornell Medicine, New York University, New York, New York.
Linden ParkesDepartment of Psychiatry, Rutgers University, Piscataway, New Jersey.
Amy KuceyeskiDepartment of Radiology, Weill Cornell Medicine, New York University, New York, New York.

Funding

Genetic and Environmental Influences on AddictionT32DA039080 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Teresa A Milner · 2017 to 2026
$1.4M
Heritability and cognitive implications of structural-functional connectome couplingRF1MH123232 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI KUCEYESKI, AMY FRANCES · 2021 to 2021
$1.3M
PHARMACOLOGIC STUDIES OF CNS PAIN MOLULATORY SYSTEMSR01DA003980 · NIDA · UNIVERSITY OF IOWA · PI PROUDFIT, HERBERT K · 1985 to 2003
$1.0M
Discovering prognostic neuroimaging biomarkers of the psychosis spectrum using network control theoryR00MH127296 · NIMH · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI PARKES, LINDEN · 2023 to 2025
$747k
NIDA NIH HHS R01 DA003980NIDA NIH HHS T32 DA039080NIMH NIH HHS R00 MH127296NIMH NIH HHS RF1 MH123232
6 · The paper itself

Abstract

backgroundHeavy alcohol use and its associated conditions, such as alcohol use disorder, impact millions of individuals worldwide. While our understanding of the neurobiological correlates of alcohol use has evolved substantially, we still lack models that incorporate whole-brain neuroanatomical, functional, and pharmacological information under one framework.

methodsHere, we utilized diffusion and functional magnetic resonance imaging to investigate alterations to brain dynamics in 130 individuals with a high amount of current alcohol use. We compared these alcohol-using individuals to 308 individuals with minimal use of any substances.

resultsWe found that individuals with heavy alcohol use had less dynamic and complex brain activity, and through leveraging network control theory, had increased control energy to complete transitions between activation states. Furthermore, using separately acquired positron emission tomography data, we deployed an in silico evaluation demonstrating that decreased D

conclusionsThis work demonstrates that whole-brain, multimodal imaging information can be combined under a network control framework to identify and evaluate neurobiological correlates and mechanisms of heavy alcohol use.

Indexed as

AlcoholismBrainMagnetic Resonance ImagingPositron-Emission TomographyAdultConnectomeFemaleHumansMaleMiddle AgedNerve NetReceptors, Dopamine D2Young AdultReceptors, Dopamine D2dMRIfMRIHeavy alcohol useMultimodal neuroimagingNetwork control theoryStructural connectomeWhole-brain modeling

Identifiers

PMID38839036
PMCPMC11456392

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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.