Elsevier

Psychiatry Research

Volume 228, Issue 3, 30 August 2015, Pages 404-410
Psychiatry Research

Cannabis use, schizotypy, and negative priming

https://doi.org/10.1016/j.psychres.2015.05.074Get rights and content

Highlights

  • We used location-based negative priming as a measure of cognitive control.

  • Higher levels of impulsivity were associated with reduced cognitive control.

  • Higher levels of psychological distress were associated with greater cognitive control.

  • Younger age was associated with reduced cognitive control among frequent cannabis users.

Abstract

The present study examined the effects of frequency of cannabis use, schizotypy, and age on cognitive control, as measured using a location-based negative priming task in a sample of 124 Australians aged 15–24 who had ever used cannabis. This study found that the schizotypy dimension of Impulsive Nonconformity had a significant effect on negative priming such that participants with higher scores on this dimension showed reduced negative priming. Also, higher levels of psychological distress were associated with greater negative priming. Finally, there was a significant age by cannabis use interaction indicating that younger, frequent users of cannabis may be more susceptible to its effects on cognitive control and perhaps at greater risk of developing a disorder on the psychosis dimension.

Introduction

There is a well-established association between cannabis use and psychosis (for a review, see Wilkinson et al. (2014)). Longitudinal studies indicate that cannabis use may be a risk factor for the development of symptoms of psychosis (Henquet et al., 2004). Also, studies have shown that people with schizophrenia who used cannabis in adolescence have an earlier age of onset of psychotic illness (Large et al., 2011), with continued use of cannabis following the onset of psychosis resulting in a more severe course of psychotic illness and poorer treatment outcomes (Clausen et al., 2013). Furthermore, administration of tetrahydrocannabinol (THC) to healthy participants has been shown to temporarily induce positive (Barkus et al., 2011) and negative psychosis-like symptoms (Morrison and Stone, 2011).

People who use cannabis regularly display similar cognitive impairments to those typically found in patients with schizophrenia, including deficits in cognitive control (for a review, see Solowij and Michie (2007)). Cognitive control refers to the ability to suppress/inhibit irrelevant or conflicting information (interference suppression) and/or prepotent responses (response inhibition). Deficits in suppressing irrelevant information have long been recognised as a key feature of schizophrenia (McGhie and Chapman, 1961) and have been theorised to underlie core schizophrenia symptoms such as hallucinations and other positive symptoms (Frith, 1979, Kapur, 2003, Howes and Kapur, 2009, Van Os, 2009). However, studies showing that cognitive control deficits are present in first-degree relatives of people with schizophrenia independently of subclinical symptoms (Snitz et al., 2006) suggest that cognitive control deficits may be better understood as reflecting risk for psychotic disorders rather than directly related to the symptoms themselves.

Animal and human research suggests that adolescent exposure to cannabis carries a particularly high risk for psychosis-related outcomes and cognitive impairment (Ehrenreich et al., 1999, Arseneault et al., 2002, Schneider and Koch, 2003). Findings of heightened risk associated with adolescent cannabis use, coupled with research pointing to a role of the endocannabinoid system in regulating neurodevelopmental processes, have led to speculation that adolescent cannabis use may disrupt the normal course of neurodevelopmental processes and result in changes in brain functioning similar to those associated with risk for psychosis (Viveros et al., 2012) or to psychosis itself (Bossong and Niesink, 2010).

The negative priming procedure is a cognitive task that was designed specifically to examine cognitive control (Tipper, 1985, Neill et al., 1995, de Fockert et al., 2010). In this context, cognitive control refers to the use of inhibitory processes to suppress attention and/or responses to distracting stimuli in order to focus cognitive resources on target stimuli that are the focus of current goals. In a typical location-based negative priming task, participants are repeatedly asked to locate a target stimulus while ignoring a distractor stimulus. In order to perform this task successfully, participants must apply cognitive control in order to inhibit attention and/or responses to the distractor. It is typically found that responses to the target are slower when this target appears in a location that was occupied by the distractor in the previous display. This is referred to as the negative priming effect, and it is taken to suggest that inhibition of the mental representation of the distractor location (or the response to that location) carries over from the previous display (Tipper et al., 1994, Tipper, 2001). On this account, the stronger a person's ability or tendency to inhibit distracting information, the stronger the negative priming effect will be. Importantly, and consistent with the suggestion that psychosis is associated with a dysfunction in cognitive control, location-based negative priming is reduced in patients with schizophrenia (e.g., Macqueen et al., 2003) as well as first-degree relatives and people with elevated schizotypy (Park et al., 1996), a personality construct that at high levels is thought to indicate a predisposition for psychotic disorders (Nelson et al., 2013).

A recent study has found that current cannabis users also display reduced location-based negative priming compared to past users and controls (Skosnik et al., 2001). In this study, however, frequency of cannabis use was not found to be associated with negative priming among regular users. The authors suggested that this might have been due to variability of THC potency across different cannabis strains, which may have masked frequency-related effects. Alternatively, frequency of use may not be related to negative priming after all and other cannabis-related variables, such as age of first cannabis use, may be better predictors. Although, as noted above, cannabis use in early adolescence carries an especially high risk for cognitive impairment and psychosis-related outcomes, no study to date has explored the effects of age of first use on location-based negative priming in regular cannabis users. Another factor that may have contributed to the lack of an association between frequency of use and negative priming in regular cannabis users may be that the impairments in negative priming found in that group were not related to cannabis use directly but rather resulted from their elevated schizotypy (which was noted by Skosnik et al., 2001). As stated above, high levels of schizotypy are themselves considered a risk factor for psychosis and related to deficits in location-based negative priming. Thus, the finding of reduced negative priming among cannabis users by Skosnik et al. (2001) may simply have been a reflection of higher schizotypy among users.

In order to address these gaps in the literature, the current study used a sample of young adults (aged 15–24) to examine the effects of cannabis use and schizotypy on location-based negative priming, and explored whether the effects of cannabis use on negative priming vary according to age. Understanding how cannabis use interacts with age to influence negative priming in adolescents and young adults may provide a greater understanding of the effects of cannabis on neurodevelopmental processes associated with an increased risk of psychosis and related disorders.

Section snippets

Participants

Participants were recruited in Australia via advertisements in national newspapers, websites, community notice boards, and email update lists. Inclusion criteria included being aged between 14 and 24 years and fluent in English. Exclusion criteria included (i) past head injury or neurological disorders, (ii) having ever received a diagnosis of schizophrenia or schizoaffective disorder, and (iii) having a first-degree relative with schizophrenia or schizoaffective disorder. The final sample

Results

Participants had a mean age of 20.3 years (S.E.=2.5), and 58% were female. Independent samples t-tests (two tailed) examined group differences on schizotypy dimensions and psychological distress. Mann–Whitney U tests were used to examine differences on age, alcohol use, tobacco use, and other drug use, which were non-normally distributed. Chi square tests examined differences between groups on gender, first cannabis use before 16 years of age, and use in the past 24 h. These are presented in

Discussion

This study explored the relationship between negative priming and levels of cannabis use, schizotypy, and age. Negative priming essentially provides a measure of the extent to which a person is able to use inhibitory control processes to suppress the processing of distracting information and hence focus cognitive resources on goal-relevant target stimuli. The stronger the inhibitory control that is exerted on trial T, the more it will carry over to influence responding on trial T+1, and hence

Author contributions

Designed the experiments: LA. Analysed the data: LA. Wrote the first draft of the manuscript: LA. Contributed to the writing of the manuscript: MLP, JC. Jointly developed the structure and arguments for the paper: LA, MLP, JC. All authors reviewed and approved of the final manuscript.

Conflict of interest

The authors declare that there are no conflicts of interest in this study.

References (53)

  • M.T. Nelson et al.

    Evidence of a dimensional relationship between schizotypy and schizophrenia: a systematic review

    Neurosci. Biobehav. Rev.

    (2013)
  • C. Sehlmeyer et al.

    ERP indices for response inhibition are related to anxiety-related personality traits

    Neuropsychologia

    (2010)
  • P.D. Skosnik et al.

    Cannabis use is associated with schizotypy and attentional disinhibition

    Schizophr. Res.

    (2001)
  • F.I. Tarazi et al.

    Comparative postnatal development of dopamine D1, D2 and D4 receptors in rat forebrain

    Int. J. Dev. Neurosci.

    (2000)
  • J.M.N.C. Ton et al.

    The effects of Δ 9-tetrahydrocannabinol on potassium-evoked release of dopamine in the rat caudate nucleus: an in vivo electrochemical and in vivo microdialysis study

    Brain Res.

    (1988)

    .

    (1988)
  • A.J. Verdejo-Garcı́a et al.

    Differential effects of MDMA, cocaine, and cannabis use severity on distinctive components of the executive functions in polysubstance users: a multiple regression analysis

    Addict. Behav.

    (2005)
  • D.M. Amodio et al.

    Neurocognitive components of the behavioral inhibition and activation systems: implications for theories of self‐regulation

    Psychophysiology

    (2008)
  • L. Arseneault et al.

    Cannabis use in adolescence and risk for adult psychosis: longitudinal prospective study

    BMJ

    (2002)
  • E. Barkus et al.

    Does intravenous Δ9-tetrahydrocannabinol increase dopamine release? A SPET study

    J. Psychopharmacol.

    (2011)
  • M.G. Bossong et al.

    Δ9-tetrahydrocannabinol induces dopamine release in the human striatum

    Neuropsychopharmacology

    (2009)
  • D.L. Braff et al.

    Sensorimotor gating and schizophrenia: human and animal model studies

    Archiv. Gen. Psychiatry

    (1990)
  • L. Clausen et al.

    Change in cannabis use, clinical symptoms and social functioning among patients with first-episode psychosis: a 5-year follow-up study of patients in the OPUS trial

    Psychol. Med.

    (2013)
  • V. Curran et al.

    Cognitive and subjective dose-response effects of acute oral Δ9-tetrahydrocannabinol (THC) in infrequent cannabis users

    Psychopharmacology

    (2002)
  • J.W. de Fockert et al.

    No negative priming without cognitive control

    J. Exp. Psychol.: Hum. Percept. Perform.

    (2010)
  • H. Ehrenreich et al.

    Specific attentional dysfunction in adults following early start of cannabis use

    Psychopharmacology

    (1999)
  • M. Ernst et al.

    Behavioral predictors of substance-use initiation in adolescents with and without attention-deficit/hyperactivity disorder

    Pediatrics

    (2006)
  • Cited by (5)

    • Cannabis use in early adolescence is associated with higher negative schizotypy in females

      2017, European Psychiatry
      Citation Excerpt :

      Within each model, the following variables were entered as predictors/covariates: age, gender, family history of schizophrenia, alcohol, tobacco, illicit drug use, psychological distress, various cannabis use parameters (frequent use in the past 6 months, quantity of use, and onset before 16 years), as well as non-dependent schizotypy dimensions. These variables were selected due to study aims and/or research showing their influence on schizotypy or related variables [22,27–31]. The interaction between gender and early use onset was examined using mean-centered values to avoid multicollinearity.

    • Evaluation of the effect of schizotypy on cannabis use predictors

      2017, Psychiatry and Clinical Psychopharmacology
    View full text