Resting-state connectivity and tobacco smoking in clinical high-risk for psychosis (NAPLS-3)

Open Access
Authors
  • Merel Koster
  • Marieke van der Pluijm
  • Romy Veelers
  • Elsmarieke van de Giessen
Publication date 02-2026
Journal General Psychiatry
Article number e70002
Volume | Issue number 39 | 1
Number of pages 12
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
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.

Document type Article
Language English
Published at https://doi.org/10.1002/gps3.70002
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