Evidence map›Paper›PMID 30739807›Full record

ArticleBiological psychiatry2019

Accelerated Aging of Functional Brain Networks Supporting Cognitive Function in Psychotic Disorders.

Julia M Sheffield, Baxter P Rogers, Jennifer U Blackford, Stephan Heckers, Neil D Woodward

Abstract read
In one paragraph

Article in Biological psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Resting-state functional connectivity correlates of brain structural aging in schizophrenia.European archives of psychiatry and clinical neuroscience · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
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  11. Article
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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.

Julia M SheffieldDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, Tennessee. Electronic address: julia.sheffield@vumc.org.
Baxter P RogersVanderbilt University Institute of Imaging Sciences, Nashville, Tennessee.
Jennifer U BlackfordDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, Tennessee; Tennessee Valley Health Service, Department of Veterans Affairs Medical Center, Nashville, Tennessee.
Stephan HeckersDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, Tennessee.
Neil D WoodwardDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, Tennessee.

Funding

Imaging Hippocampal Function in PsychosisR01MH070560 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HECKERS, STEPHAN · 2005 to 2025
$7.2M
Thalamocortical Networks in PsychosisR01MH102266 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WOODWARD, NEIL D. · 2014 to 2018
$2.3M
Neurobiological mechanisms underlying PTSDI01CX001226 · VA · VETERANS HEALTH ADMINISTRATION · PI BLACKFORD, JENNIFER URBANO · 2016 to 2019
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CSRD VA I01 CX001226NIMH NIH HHS R01 MH070560NIMH NIH HHS R01 MH102266
6 · The paper itself

Abstract

backgroundAcross networks, connectivity within the frontoparietal network (FPN) and cingulo-opercular network (CON) exhibits reductions earliest during healthy aging, contributing to cognitive impairment. Individuals with psychotic disorders demonstrate evidence of accelerated aging across multiple biological systems. By leveraging a large sample of patients with psychosis from early to chronic illness stages, this study sought to determine whether the CON and FPN exhibit evidence of accelerated aging in psychotic disorders, confirm associations between network efficiency and cognition, and determine whether reduced network efficiency is observed in early-stage psychosis.

methodsResting-state functional magnetic resonance imaging and cognitive data were obtained on 240 patients with psychotic disorder and 178 healthy control participants (HCs). Global efficiency, a measure of functional integration, was calculated for the CON, FPN, subcortical network, and visual network. Associations with age and cognition were assessed and compared between groups.

resultsConsistent with accelerated aging, significant group by age interactions reflected significantly stronger relationships between efficiency and age in patients with psychosis than in HCs for both the CON (psychosis: r = -.37; HC: r = -.16) and FPN (psychosis: r = -.31; HC: r = -.05). Accelerated aging was not observed in either the subcortical or visual network, suggesting specificity for cognitive networks that decline earliest in healthy aging. Replicating prior findings, efficiency of both the CON and FPN correlated with cognitive function across all participants (rs > .11, ps < .031). Furthermore, patients with chronic psychosis (p = .004), but not patients with early psychosis (p = .553), exhibited significantly lower FPN efficiency compared with HCs.

conclusionsFunctional integration of higher-order cognitive networks is intact in early psychosis but exhibits evidence of accelerated aging, suggesting the potential for intervention targeting cognition within the early psychosis period.

Indexed as

CognitionAdolescentAdultAgingCerebral CortexCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMaleNerve NetNeuropsychological TestsParietal LobePsychotic DisordersYoung AdultAccelerated agingCingulo-opercular networkCognitionEarly psychosisFronto-parietal networkGlobal efficiency

Identifiers

PMID30739807
PMCPMC6609513

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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.