Longitudinal analysis reveals no significant effect of tobacco smoking on functional connectivity in individuals at high risk for psychosis, suggesting further investigation is needed.
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.
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Koster et al. (2026) studied this question.
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