Dataset Information

ADHD and smoking: from genes to brain to behavior.

ABSTRACT: Attention-deficit/hyperactivity disorder (ADHD) and tobacco smoking are among the most common and costly psychiatric and behavioral problems. The rates of co-occurrence of these two common problems are larger than expected by chance. Despite progress in identifying the neural and genetic substrates of each, the mechanisms underlying the high rates of comorbidity between ADHD and smoking remain largely unknown. We propose that ADHD and smoking involve dysregulation of dopaminergic and nicotinic-acetylcholinergic circuits and that these aberrations are likely to arise, at least in part, from genetic variations. This review describes an integrative model of the ADHD-smoking comorbidity, with an emphasis on shared neuropharmacological mechanisms. We first describe the prevalence of smoking among ADHD patients. We then describe how ADHD influences stages of smoking behavior (e.g., initiation, maintenance, and relapse). We review common potential genetic substrates of ADHD and smoking, focusing on genes that regulate monoaminergic neurotransmission. We review the behavioral and neuropharmacological bases of smoking and ADHD, focusing on the modulatory roles of nicotine on attention and behavioral control. Finally, we discuss the implications of this model for prevention and clinical outcomes.

SUBMITTER: McClernon FJ

PROVIDER: S-EPMC2758663 | biostudies-literature | 2008 Oct

REPOSITORIES: biostudies-literature

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ADHD and smoking: from genes to brain to behavior.

McClernon Francis Joseph FJ Kollins Scott Haden SH

Annals of the New York Academy of Sciences 20081001

Attention-deficit/hyperactivity disorder (ADHD) and tobacco smoking are among the most common and costly psychiatric and behavioral problems. The rates of co-occurrence of these two common problems are larger than expected by chance. Despite progress in identifying the neural and genetic substrates of each, the mechanisms underlying the high rates of comorbidity between ADHD and smoking remain largely unknown. We propose that ADHD and smoking involve dysregulation of dopaminergic and nicotinic-a ...[more]

PMID: 18991955

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Project description:Autism spectrum disorder (ASD), obsessive-compulsive disorder (OCD) and attention-deficit/hyperactivity disorder (ADHD) are clinically and biologically heterogeneous neurodevelopmental disorders (NDDs). The objective of the present study was to integrate brain imaging and behavioral measures to identify new brain-behavior subgroups cutting across these disorders. A subset of the data from the Province of Ontario Neurodevelopmental Disorder (POND) Network was used including participants with different NDDs (aged 6-16 years) that underwent cross-sectional T1-weighted and diffusion-weighted magnetic resonance imaging (MRI) scanning on the same 3T scanner, and behavioral/cognitive assessments. Similarity Network Fusion was applied to integrate cortical thickness, subcortical volume, white matter fractional anisotropy (FA), and behavioral measures in 176 children with ASD, ADHD or OCD with complete data that passed quality control. Normalized mutual information was used to determine top contributing model features. Bootstrapping, out-of-model outcome measures and supervised machine learning were each used to examine stability and evaluate the new groups. Cortical thickness in socio-emotional and attention/executive networks and inattention symptoms comprised the top ten features driving participant similarity and differences between four transdiagnostic groups. Subcortical volumes (pallidum, nucleus accumbens, thalamus) were also different among groups, although white matter FA showed limited differences. Features driving participant similarity remained stable across resampling, and the new groups showed significantly different scores on everyday adaptive functioning. Our findings open the possibility of studying new data-driven groups that represent children with NDDs more similar to each other than others within their own diagnostic group. Future work is needed to build on this early attempt through replication of the current findings in independent samples and testing longitudinally for prognostic value.

Dataset Information

ADHD and smoking: from genes to brain to behavior.

Publications

ADHD and smoking: from genes to brain to behavior.

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