Annabeth P. Groenman
Radboud University Nijmegen
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Addiction, Vol. 108 (2013), no. 8, p. 1503-1511 | 2014
Annabeth P. Groenman; Jaap Oosterlaan; Nanda Rommelse; Barbara Franke; Herbert Roeyers; Robert D. Oades; Joseph A. Sergeant; Jan K. Buitelaar; Stephen V. Faraone
AIM To examine the relationship between a childhood diagnosis of attention deficit hyperactivity disorder (ADHD) with or without oppositional defiant disorder (ODD)/conduct disorder (CD) and the development of later alcohol/drug use disorder [psychoactive substance use disorder (PSUD)] and nicotine dependence in a large European sample of ADHD probands, their siblings and healthy control subjects. PARTICIPANTS, DESIGN AND SETTING Subjects (n = 1017) were participants in the Belgian, Dutch and German part of the International Multicenter ADHD Genetics (IMAGE) study. IMAGE families were identified through ADHD probands aged 5-17 years attending out-patient clinics, and control subjects from the same geographic areas. After a follow-up period (mean: 4.4 years) this subsample was re-assessed at a mean age of 16.4 years. MEASUREMENTS PSUD and nicotine dependence were assessed using the Diagnostic Interview Schedule for Children, Alcohol Use Disorders Identification Test, Drug Abuse Screening Test and Fagerström test for Nicotine Dependence. FINDINGS The ADHD sample was at higher risk of developing PSUD [hazard ratio (HR) = 1.77, 95% confidence interval (CI) = 1.05-3.00] and nicotine dependence (HR = 8.61, 95% CI = 2.44-30.34) than healthy controls. The rates of these disorders were highest for ADHD youth who also had CD, but could not be accounted for by this comorbidity. We did not find an increased risk of developing PSUD (HR = 1.18, 95% CI = 0.62-2.27) or nicotine dependence (HR = 1.89, 95% CI = 0.46-7.77) among unaffected siblings of ADHD youth. CONCLUSIONS A childhood diagnosis of attention deficit hyperactivity disorder is a risk factor for psychoactive substance use disorder and nicotine dependence in adolescence and comorbid conduct disorder, but not oppositional defiant disorder, further increases the risk of developing psychoactive substance use disorder and nicotine dependence.
British Journal of Psychiatry | 2013
Annabeth P. Groenman; Jaap Oosterlaan; Nanda Rommelse; Barbara Franke; Corina U. Greven; Pieter J. Hoekstra; Catharina A. Hartman; Marjolein Luman; Herbert Roeyers; Robert D. Oades; Joseph A. Sergeant; Jan K. Buitelaar; Stephen V. Faraone
BACKGROUND Attention-deficit hyperactivity disorder (ADHD) is linked to increased risk for substance use disorders and nicotine dependence. AIMS To examine the effects of stimulant treatment on subsequent risk for substance use disorder and nicotine dependence in a prospective longitudinal ADHD case-control study. METHOD At baseline we assessed ADHD, conduct disorder and oppositional defiant disorder. Substance use disorders, nicotine dependence and stimulant treatment were assessed retrospectively after a mean follow-up of 4.4 years, at a mean age of 16.4 years. RESULTS Stimulant treatment of ADHD was linked to a reduced risk for substance use disorders compared with no stimulant treatment, even after controlling for conduct disorder and oppositional defiant disorder (hazard ratio (HR) = 1.91, 95% CI 1.10-3.36), but not to nicotine dependence (HR = 1.12, 95% CI 0.45-2.96). Within the stimulant-treated group, a protective effect of age at first stimulant use on substance use disorder development was found, which diminished with age, and seemed to reverse around the age of 18. CONCLUSIONS Stimulant treatment appears to lower the risk of developing substance use disorders and does not have an impact on the development of nicotine dependence in adolescents with ADHD.
Human Brain Mapping | 2015
Hanneke van Ewijk; Annabeth P. Groenman; Marcel P. Zwiers; Dirk J. Heslenfeld; Stephen V. Faraone; Catharina A. Hartman; Marjolein Luman; Corina U. Greven; Pieter J. Hoekstra; Barbara Franke; Jan K. Buitelaar; Jaap Oosterlaan
Brain white matter (WM) tracts, playing a vital role in the communication between brain regions, undergo important maturational changes during adolescence and young adulthood, a critical period for the development of nicotine dependence. Attention‐deficit/hyperactivity disorder (ADHD) is associated with increased smoking and widespread WM abnormalities, suggesting that the developing ADHD brain might be especially vulnerable to effects of smoking. This study aims to investigate the effect of smoking on (WM) microstructure in adolescents and young adults with and without ADHD. Diffusion tensor imaging was performed in an extensively phenotyped sample of nonsmokers (n = 95, 50.5% ADHD), irregular smokers (n = 41, 58.5% ADHD), and regular smokers (n = 50, 82.5% ADHD), aged 14–24 years. A whole‐brain voxelwise approach investigated associations of smoking, ADHD and their interaction, with WM microstructure as measured by fractional anisotropy (FA) and mean diffusivity (MD). Widespread alterations in FA and MD were found for regular smokers compared to irregular and nonsmokers, mainly located in the corpus callosum and WM tracts surrounding the basal ganglia. Several regions overlapped with regions of altered FA for ADHD versus controls, albeit in different directions. Irregular and nonsmokers did not differ, and ADHD and smoking did not interact. Results implicate that smoking and ADHD have independent effects on WM microstructure, and possibly do not share underlying mechanisms. Two mechanisms may play a role in the current results. First, smoking may cause alterations in WM microstructure in the maturing brain. Second, pre‐existing WM microstructure differences possibly reflect a risk factor for development of a smoking addiction. Hum Brain Mapp 36:1180–1189, 2015.
Addiction Biology | 2016
Annabeth P. Groenman; Corina U. Greven; Marjolein M. J. van Donkelaar; A.F.A. Schellekens; Kimm J. E. van Hulzen; Nanda Rommelse; Catharina A. Hartman; Pieter J. Hoekstra; Marjolein Luman; Barbara Franke; Stephen V. Faraone; Jaap Oosterlaan; Jan K. Buitelaar
Individuals with attention deficit/hyperactivity disorder (ADHD) are at increased risk of developing substance use disorders (SUDs) and nicotine dependence. The co‐occurrence of ADHD and SUDs/nicotine dependence may in part be mediated by shared genetic liability. Several neurobiological pathways have been implicated in both ADHD and SUDs, including dopamine and serotonin pathways. We hypothesized that variations in dopamine and serotonin neurotransmission genes were involved in the genetic liability to develop SUDs/nicotine dependence in ADHD. The current study included participants with ADHD (n = 280) who were originally part of the Dutch International Multicenter ADHD Genetics study. Participants were aged 5–15 years and attending outpatient clinics at enrollment in the study. Diagnoses of ADHD, SUDs, nicotine dependence, age of first nicotine and substance use, and alcohol use severity were based on semi‐structured interviews and questionnaires. Genetic risk scores were created for both serotonergic and dopaminergic risk genes previously shown to be associated with ADHD and SUDs and/or nicotine dependence. The serotonin genetic risk score significantly predicted alcohol use severity. No significant serotonin × dopamine risk score or effect of stimulant medication was found. The current study adds to the literature by providing insight into genetic underpinnings of the co‐morbidity of ADHD and SUDs. While the focus of the literature so far has been mostly on dopamine, our study suggests that serotonin may also play a role in the relationship between these disorders.
Expert Opinion on Drug Safety | 2017
Annabeth P. Groenman; Lizanne Schweren; Andrea Dietrich; Pieter J. Hoekstra
ABSTRACT Introduction: Methylphenidate is the first-line pharmacological treatment of attention-deficit/hyperactivity disorder (ADHD). Although methylphenidate has a well-established evidence base for treating ADHD, its long-term benefits are unclear. Areas covered: Physical adverse effects, psychiatric adverse events and brain development Expert opinion: Some physical adverse events have been described (e.g. sleep disturbances, growth reduction, loss of appetite), although most are of transient nature. Psychiatric adverse events seem more related to the diagnosis ADHD itself, and not stimulant treatment. Concluding, short-to-mid-term use (i.e., up to 2 years) stimulants are relatively safe, but much less is known about longer-term efficacy and safety of these drugs.
The Journal of Clinical Psychiatry | 2017
Lizanne Schweren; Annabeth P. Groenman; Daniel von Rhein; Wouter D. Weeda; Stephen F. Faraone; Marjolein Luman; Hanneke van Ewijk; Dirk J. Heslenfeld; Barbara Franke; Jan K. Buitelaar; Jaap Oosterlaan; Pieter J. Hoekstra; Catharina A. Hartman
OBJECTIVE The past decades have seen a surge in stimulant prescriptions for the treatment of attention-deficit/hyperactivity disorder (ADHD). Stimulants acutely alleviate symptoms and cognitive deficits associated with ADHD by modulating striatal dopamine neurotransmission and induce therapeutic changes in brain activation patterns. Long-term functional changes after treatment are unknown, as long-term studies are scarce and have focused on brain structure. In this observational study (2009-2012), we investigated associations between lifetime stimulant treatment history and neural activity during reward processing. METHODS Participants fulfilling DSM-5 criteria for ADHD (N = 269) were classified according to stimulant treatment trajectory. Of those, 124 performed a monetary incentive delay task during magnetic resonance imaging, all in their nonmedicated state (nEARLY&INTENSE = 51; nLATE&MODERATE = 49; nEARLY&MODERATE = 9; nNAIVE = 15; mean age = 17.4 years; range, 10-26 years). Whole-brain analyses were performed with additional focus on the striatum, concentrating on the 2 largest treatment groups. RESULTS Compared to the late-and-moderate treatment group, the early-and-intense treatment group showed more activation in the supplementary motor area and dorsal anterior cingulate cortex (SMA/dACC) during reward outcome (cluster size = 8,696 mm³; PCLUSTER < .001). SMA/dACC activation of the control group fell in between the 2 treatment groups. Treatment history was not associated with striatal activation during reward processing. CONCLUSIONS Our findings are compatible with previous reports of acute increases of SMA/dACC activity in individuals with ADHD after stimulant administration. Higher SMA/dACC activity may indicate that patients with a history of intensive stimulant treatment, but currently off medication, recruit brain regions for cognitive control and/or decision-making upon being rewarded. No striatal or structural changes were found.
Human Brain Mapping | 2015
Hanneke van Ewijk; Annabeth P. Groenman; Marcel P. Zwiers; Dirk J. Heslenfeld; Stephen V. Faraone; Catharina A. Hartman; Marjolein Luman; Corina U. Greven; Pieter J. Hoekstra; Barbara Franke; Jan K. Buitelaar; Jaap Oosterlaan
Brain white matter (WM) tracts, playing a vital role in the communication between brain regions, undergo important maturational changes during adolescence and young adulthood, a critical period for the development of nicotine dependence. Attention‐deficit/hyperactivity disorder (ADHD) is associated with increased smoking and widespread WM abnormalities, suggesting that the developing ADHD brain might be especially vulnerable to effects of smoking. This study aims to investigate the effect of smoking on (WM) microstructure in adolescents and young adults with and without ADHD. Diffusion tensor imaging was performed in an extensively phenotyped sample of nonsmokers (n = 95, 50.5% ADHD), irregular smokers (n = 41, 58.5% ADHD), and regular smokers (n = 50, 82.5% ADHD), aged 14–24 years. A whole‐brain voxelwise approach investigated associations of smoking, ADHD and their interaction, with WM microstructure as measured by fractional anisotropy (FA) and mean diffusivity (MD). Widespread alterations in FA and MD were found for regular smokers compared to irregular and nonsmokers, mainly located in the corpus callosum and WM tracts surrounding the basal ganglia. Several regions overlapped with regions of altered FA for ADHD versus controls, albeit in different directions. Irregular and nonsmokers did not differ, and ADHD and smoking did not interact. Results implicate that smoking and ADHD have independent effects on WM microstructure, and possibly do not share underlying mechanisms. Two mechanisms may play a role in the current results. First, smoking may cause alterations in WM microstructure in the maturing brain. Second, pre‐existing WM microstructure differences possibly reflect a risk factor for development of a smoking addiction. Hum Brain Mapp 36:1180–1189, 2015.
Human Brain Mapping | 2015
Hanneke van Ewijk; Annabeth P. Groenman; Marcel P. Zwiers; Dirk J. Heslenfeld; Stephen V. Faraone; Catharina A. Hartman; Marjolein Luman; Corina U. Greven; Pieter J. Hoekstra; Barbara Franke; Jan K. Buitelaar; Jaap Oosterlaan
Brain white matter (WM) tracts, playing a vital role in the communication between brain regions, undergo important maturational changes during adolescence and young adulthood, a critical period for the development of nicotine dependence. Attention‐deficit/hyperactivity disorder (ADHD) is associated with increased smoking and widespread WM abnormalities, suggesting that the developing ADHD brain might be especially vulnerable to effects of smoking. This study aims to investigate the effect of smoking on (WM) microstructure in adolescents and young adults with and without ADHD. Diffusion tensor imaging was performed in an extensively phenotyped sample of nonsmokers (n = 95, 50.5% ADHD), irregular smokers (n = 41, 58.5% ADHD), and regular smokers (n = 50, 82.5% ADHD), aged 14–24 years. A whole‐brain voxelwise approach investigated associations of smoking, ADHD and their interaction, with WM microstructure as measured by fractional anisotropy (FA) and mean diffusivity (MD). Widespread alterations in FA and MD were found for regular smokers compared to irregular and nonsmokers, mainly located in the corpus callosum and WM tracts surrounding the basal ganglia. Several regions overlapped with regions of altered FA for ADHD versus controls, albeit in different directions. Irregular and nonsmokers did not differ, and ADHD and smoking did not interact. Results implicate that smoking and ADHD have independent effects on WM microstructure, and possibly do not share underlying mechanisms. Two mechanisms may play a role in the current results. First, smoking may cause alterations in WM microstructure in the maturing brain. Second, pre‐existing WM microstructure differences possibly reflect a risk factor for development of a smoking addiction. Hum Brain Mapp 36:1180–1189, 2015.
European Child & Adolescent Psychiatry | 2015
Daniel von Rhein; Maarten Mennes; Hanneke van Ewijk; Annabeth P. Groenman; Marcel P. Zwiers; Jaap Oosterlaan; Dirk J. Heslenfeld; Barbara Franke; Pieter J. Hoekstra; Stephen V. Faraone; Catharina Hartman; Jan K. Buitelaar
Journal of the American Academy of Child and Adolescent Psychiatry | 2017
Annabeth P. Groenman; Tieme W. P. Janssen; Jaap Oosterlaan