ArticleGeneral psychiatry2026
Resting-state connectivity and tobacco smoking in clinical high-risk for psychosis (NAPLS-3).
Article in General psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Neurophysiological subtyping of schizophrenia reveals a reproducible phenotype with temporoparietal circuit disruptions.General psychiatry · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Smoking is highly prevalent among people at clinical high-risk for psychosis (CHR-P) and is associated with poorer clinical outcomes. Large-scale brain networks have been linked to both psychosis and tobacco smoking. However, their relationship in CHR-P individuals remains unexplored, which may provide valuable insights into the potential neurobiological background of the co-occurrence. Aims: The current study aimed to examine whether smoking is associated with altered resting-state network connectivity over time in CHR-P individuals. Methods: Resting-state functional magnetic resonance imaging scans from the North American Prodrome Longitudinal Study 3 were used. At baseline, 486 CHR-P non-smokers and 101 CHR-P smokers were included, with 1128 scans across 2-, 4-, 6- and 8-month follow-up. Independent component analysis was used to extract functional connectivity for the default mode network (DMN), salience network (SN) and left and right frontoparietal networks (FPN). Differences in within- and between-network strength of the networks of interest were assessed between smoking CHR-P and non-smoking CHR-P at baseline. Linear mixed-effects models were used to examine associations between longitudinal connectivity changes and smoking. Results: Results showed that smoking participants were generally light smokers. Smoking was not significantly associated with within- or between-network functional connectivity of the DMN, SN or FPN at baseline or over an 8-month period in CHR-P participants. Conclusions: In this large, longitudinal CHR-P sample, smoking was not linked to large-scale functional network connectivity alterations. The early illness stage and limited nicotine exposure may explain the absence of differences, contrasting with findings of reduced network connectivity in schizophrenia and chronic smokers. Future studies could examine connectivity changes over longer periods to determine whether connectivity alterations emerge with increased smoking, illness progression or both.
Identifiers
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Registered trials
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