Background: Highly prevalent in schizophrenia, tobacco smoking substantially increases the risk of cardiac-related death. Compared to the general population, tobacco smoking cessation rates are lower in schizophrenia. Unfortunately, the reasons for these low cessation rates remain poorly understood. Recently, it has been shown that tobacco cravings are increased in schizophrenia smokers compared to smokers with no comorbid psychiatric disorder. In view of these results, we sought to examine - for the first time - the neurophysiologic responses elicited by cigarette cues in schizophrenia smokers. We hypothesized that cigarettes cues would elicit increased activations in brain regions involved in drug cravings in schizophrenia smokers relative to control smokers.
Methods: Smokers with (n=18) and without (n=24) schizophrenia (DSM-IV criteria) were scanned using functional magnetic resonance imaging (fMRI) while viewing appetitive cigarette images.
Results: Schizophrenia smokers and smokers with no psychiatric comorbidity did not differ in subjective cravings in response to appetitive smoking cues. However, in schizophrenia smokers relative to control smokers, we found that appetitive cigarette cues triggered increased activations of the bilateral ventro-medial prefrontal cortex, a core region of the brain reward system. Moreover, a negative correlation was observed between cigarette cravings and activations of the right ventro-medial prefrontal cortex in schizophrenia smokers.
Discussion: The current results highlight a key role of the brain reward system in cigarette craving in schizophrenia, and suggest that the neurophysiologic mechanisms involved in the regulation of cue-induced cigarette craving are impaired in this population.
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http://dx.doi.org/10.1016/j.schres.2016.03.011 | DOI Listing |
Can J Psychiatry
January 2025
Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Objective: Tobacco smoking is the leading cause of preventable death among individuals with serious mental illness (SMI) but few persons with SMI are offered smoking cessation treatment. The purpose of this study was to pilot-test a multicomponent intervention to increase the delivery of evidence-based smoking cessation treatment in community mental health clinics (CMHCs).
Method: This study was carried out at five CMHCs in Maryland involving clinicians who participated in training in smoking cessation.
J Clin Psychopharmacol
January 2025
Department of Psychological Medicine, University of Otago, Wellington, New Zealand.
Background: Sodium valproate has been coprescribed with clozapine for seizure prophylaxis and for augmentation in treatment-refractory schizophrenia. However, the effect of valproate on clozapine metabolism and on the incidence of clozapine-related side effects is unclear.
Methods: We compared clozapine dose and plasma clozapine and N-desmethylclozapine (norclozapine) concentrations in smokers and nonsmokers of both sexes in samples submitted for clozapine therapeutic drug monitoring, 1996-2017 in relation to valproate coprescription.
Neuropsychopharmacol Rep
March 2025
Division of Epidemiology, School of Public Health, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Background: There is a complex relationship between tobacco use and pain. Nicotine provides temporary pain relief but increases the risk of chronic pain. This study aimed to investigate use of tobacco for pain relief and its association with demographic and medical characteristics in Japan.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, USA.
Brain connectivity represents the functional organization of the brain, which is an important indicator for evaluating neuropsychiatric disorders and treatment effects. Schizophrenia is associated with impaired functional connectivity but characterizing the complex abnormality patterns has been challenging. In this work, we used resting-state functional magnetic resonance imaging (fMRI) data to measure functional connectivity between 55 schizophrenia patients and 63 healthy controls across 246 regions of interest (ROIs) and extracted the disease-related connectivity patterns using energy landscape (EL) analysis.
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