Effects of acute nicotine on brain function in healthy smokers and non-smokers: Estimation of inter-individual response heterogeneity
Introduction
Nicotine is a cholinergic agonist compound with stimulant properties. Administration of nicotine is known to enhance cognitive function in humans and experimental animals (Levin et al., 2006). Effects in humans are shown particularly in the domains of psychomotor functions, visual attention and memory (Heishman, 1998, Newhouse et al., 2004). Cholinergic agonists are being investigated intensively as potential cognitive enhancers for a range of neuropsychiatric conditions, including schizophrenia, Alzheimer's disease, Parkinson's disease, and attention deficit hyperactivity disorder (Newhouse et al., 1997, Martin et al., 2004, Kumari and Postma, 2005, Levin et al., 2006).
Saccadic eye movements are widely studied psychopharmacological biomarkers (Ettinger and Kumari, 2003). One of the most commonly studied tasks is the antisaccade task. An antisaccade is a saccadic eye movement away from a peripheral visual stimulus (Hallett, 1978). The task involves cognitive processes such as the suppression of an unwanted reflexive, or prepotent response, and the sensorimotor transformation along the dorsal visual stream of a peripheral visual signal into a volitional response (Reuter and Kathmann, 2004, Moon et al., 2007). The task is a sensitive measure of neural pathology associated with a range of psychiatric and neurological conditions (Hutton and Ettinger, 2006). Functional imaging studies show that antisaccade performance recruits the dorsal fronto-parietal demand network seen in high-level cognitive tasks consisting of dorsolateral prefrontal cortex (DLPFC), frontal eye fields (FEF), and intraparietal sulcus (IPS), as well as thalamus and striatum (O'Driscoll et al., 1995, Sweeney et al., 1996, McDowell et al., 2002).
Antisaccade performance is sensitive to the effects of nicotine. In healthy smokers, nicotine reduces the rate of reflexive errors (Powell et al., 2002, Dépatie et al., 2002, Larrison-Faucher et al., 2004, Rycroft et al., 2006) and the latency of antisaccades (Larrison et al., 2004, Rycroft et al., 2006, Rycroft et al., 2007), although one study found no effects (Thaker et al., 1991). Healthy non-smokers also show reduced antisaccade latency with nicotine (Rycroft et al., 2007). Additionally, there is evidence of the beneficial effects of nicotine on antisaccade performance in schizophrenia (Dépatie et al., 2002, Larrison-Faucher et al., 2004), a psychiatric condition associated with increased frequency and intensity of nicotine consumption through cigarette smoking (Kumari and Postma, 2005).
However, the neural mechanisms underlying these enhancements have not been studied. Given that the antisaccade task is a well-validated indicator of psychopathology and brain damage (Hutton and Ettinger, 2006) and a promising biomarker for pharmacological studies (Ettinger and Kumari, 2003), it is crucial to understand the neural mechanisms by which nicotine improves performance. Previous studies have shown that nicotine improves cognitive function by selectively increasing (Lawrence et al., 2002, Kumari et al., 2003, Jacobsen et al., 2004) or decreasing (Thiel et al., 2005) task-related neural activity or by enhancing task-induced deactivations (Hahn et al., 2007). The first aim of this study is to investigate the effects of nicotine on blood oxygen level dependent (BOLD) response during antisaccade performance using functional magnetic resonance imaging (fMRI). Additionally we evaluated prosaccade performance (overt attentional shifts achieved by reflexive saccades towards a peripheral target) and underlying BOLD response, in order to probe for nicotine effects on basic saccadic control.
An intriguing finding from previous research is that the behavioural response to nicotine is subject to considerable inter-individual variability. The precise reasons for this variability are unclear but are likely to be manifold, including genetic factors, receptor availability, gender, absorption, level of withdrawal in smokers, and performance as well as neural activation levels at baseline or under placebo (Heishman, 1998, Perkins, 1999, Smith et al., 2003, Larrison-Faucher et al., 2004, Berrettini and Lerman, 2005, Giessing et al., 2007, de Jongh et al., 2008). However, the extent of heterogeneity in neural response to nicotine in humans is not known.
Therefore, a second aim of the study is to investigate the extent of inter-individual heterogeneity in nicotine response in a sample of psychiatrically, neurologically and medically healthy, right-handed males. In order to do so we calculated intraclass (ICC) correlations over BOLD and saccadic measures taken before and after nicotine administration and compared these to ICCs derived from the placebo scans. Heterogeneity in drug response is reflected by inter-individual differences in the magnitude of change following drug administration. Therefore, we reasoned that heterogeneity in response to nicotine would perturb the rank order of inter-individual differences within the sample and would result in lower ICCs when compared to placebo. In order to explore whether effects of nicotine are mediated by smoking status, we studied smokers and non-smokers, and to avoid significant impairments following withdrawal, we studied light-to-moderate smokers who were only minimally withdrawn (Heishman, 1998).
Section snippets
Participants
Twenty-five participants took part in this study. One non-smoker had to be excluded due to MRI scanner malfunction, leaving a final sample of 13 smokers and 11 non-smokers. Smokers were light-to-moderate smokers who smoked cigarettes daily (mean = 11.60, SD = 5.94, range 5–25; established using the Fagerstrom Test for Nicotine Dependence, Heatherton et al., 1991), while non-smokers had never smoked habitually and had not smoked for at least 1 year before the study. The mean Fagerstrom score (
Sample characteristics
Smokers and non-smokers did not differ in age, weight, height, ethnicity or years of education (all p > 0.29) (Table 1). Smokers and non-smokers were equally likely to correctly guess the administered compound (61.5% and 50%, respectively; p = 0.58); these values are close to chance level (50%). The two groups did not differ in performance levels of the practice saccade tasks (all p > 0.11), the time interval (in number of days) from first to second session (p = 0.92) or the difference in time of
Discussion
This experiment used fMRI to investigate the influence of nicotine on brain function during antisaccade and prosaccade eye movements in healthy male smokers and non-smokers. It was found that nicotine has complex effects at the different levels of measurement investigated here, namely concentration in plasma, blood pressure, heart rate, brain BOLD response, and oculomotor control. Evidence of significant inter-individual response heterogeneity was observed at the levels of antisaccade
Conclusions
The present study confirms that nicotine improves antisaccade performance in healthy smokers and non-smokers. At the macroscopic brain functional level nicotine affects antisaccade-related BOLD activation in the left frontal eye field of non-smokers but has no detectable systematic effects in smokers. Nicotine also enhanced deactivations in a number of areas during prosaccades. Analysis of ICCs showed that the response to nicotine was significantly heterogeneous between individuals at the level
Disclosure/conflict of interest
None.
Acknowledgments
This work was supported by funding from the Leverhulme Trust (ECF/2004/0370) and ESRC/MRC (PTA-037-27-0002). Veena Kumari is supported by a Wellcome Senior Research Fellowship (067427/z/02/z). Ulrich Ettinger is funded by a NIHR (National Institute for Health Research) Personal Award. The views expressed in this publication are those of the authors and not necessarily those of the NHS, NIHR or Department of Health.
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