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Payne AD, Smith ZR, Holmbeck GN. Development of inattention and executive dysfunction in youth with spina bifida: condition severity variables as predictors. Child Neuropsychol 2024:1-21. [PMID: 39545918 DOI: 10.1080/09297049.2024.2428673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Accepted: 11/07/2024] [Indexed: 11/17/2024]
Abstract
Youth with spina bifida (SB) are at increased risk for inattention and executive dysfunction challenges. This study aimed to characterize the development of inattention and executive dysfunction in SB and examine the relationship between condition severity (i.e. lesion level, shunt status, and shunt revisions) and inattention and executive dysfunction at age 11.5 and longitudinally. Participants included 140 youth with SB. Condition severity was collected via parent reports and chart review. Parents and teachers reported on youth's inattention and executive dysfunction using informant-based measures across five time points. Parents and teachers both reported linear decreases in inhibition and working memory problems. Development of inattention and shifting problems varied by reporter. At 11.5 years, shunt status predicted worse parent- and teacher-reported inattention and executive dysfunction, while shunt revisions predicted worse parent-reported working memory alone. Higher lesion level predicted fewer parent-reported inhibition problems at 11.5 years. Over time, more shunt revisions and higher lesion level predicted worse parent-reported inattention and inhibition, respectively. Findings suggest that inattention and executive dysfunction may significantly change over time in youth with SB, related to condition severity and reporter. Early deficit identification and intervention implementation, particularly for youth with greater SB severity, may result in better longitudinal outcomes.
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Affiliation(s)
- Allison D Payne
- Department of Psychology, Loyola University Chicago, Chicago, IL, USA
| | - Zoe R Smith
- Department of Psychology, Loyola University Chicago, Chicago, IL, USA
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2
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Michelini G, Carlisi CO, Eaton NR, Elison JT, Haltigan JD, Kotov R, Krueger RF, Latzman RD, Li JJ, Levin-Aspenson HF, Salum GA, South SC, Stanton K, Waldman ID, Wilson S. Where do neurodevelopmental conditions fit in transdiagnostic psychiatric frameworks? Incorporating a new neurodevelopmental spectrum. World Psychiatry 2024; 23:333-357. [PMID: 39279404 PMCID: PMC11403200 DOI: 10.1002/wps.21225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/18/2024] Open
Abstract
Features of autism spectrum disorder, attention-deficit/hyperactivity disorder, learning disorders, intellectual disabilities, and communication and motor disorders usually emerge early in life and are associated with atypical neurodevelopment. These "neurodevelopmental conditions" are grouped together in the DSM-5 and ICD-11 to reflect their shared characteristics. Yet, reliance on categorical diagnoses poses significant challenges in both research and clinical settings (e.g., high co-occurrence, arbitrary diagnostic boundaries, high within-disorder heterogeneity). Taking a transdiagnostic dimensional approach provides a useful alternative for addressing these limitations, accounting for shared underpinnings across neurodevelopmental conditions, and characterizing their common co-occurrence and developmental continuity with other psychiatric conditions. Neurodevelopmental features have not been adequately considered in transdiagnostic psychiatric frameworks, although this would have fundamental implications for research and clinical practices. Growing evidence from studies on the structure of neurodevelopmental and other psychiatric conditions indicates that features of neurodevelopmental conditions cluster together, delineating a "neurodevelopmental spectrum" ranging from normative to impairing profiles. Studies on shared genetic underpinnings, overlapping cognitive and neural profiles, and similar developmental course and efficacy of support/treatment strategies indicate the validity of this neurodevelopmental spectrum. Further, characterizing this spectrum alongside other psychiatric dimensions has clinical utility, as it provides a fuller view of an individual's needs and strengths, and greater prognostic utility than diagnostic categories. Based on this compelling body of evidence, we argue that incorporating a new neurodevelopmental spectrum into transdiagnostic frameworks has considerable potential for transforming our understanding, classification, assessment, and clinical practices around neurodevelopmental and other psychiatric conditions.
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Affiliation(s)
- Giorgia Michelini
- Department of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Christina O Carlisi
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - John D Haltigan
- Department of Psychiatry, Division of Child and Youth Mental Health, University of Toronto, Toronto, ON, Canada
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | - James J Li
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Giovanni A Salum
- Child Mind Institute, New York, NY, USA
- Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Instituto Nacional de Psiquiatria do Desenvolvimento para a Infância e Adolescência, São Paulo, Brazil
| | - Susan C South
- Department of Psychological Sciences, College of Health and Human Sciences, Purdue University, West Lafayette, IN, USA
| | - Kasey Stanton
- Department of Psychology, University of Wyoming, Laramie, WY, USA
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Sylia Wilson
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
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Wang Y, Ma L, Wang J, Ding Y, Liu N, Men W, Tan S, Gao JH, Qin S, He Y, Dong Q, Tao S. The neural and genetic underpinnings of different developmental trajectories of Attention-Deficit/Hyperactivity Symptoms in children and adolescents. BMC Med 2024; 22:223. [PMID: 38831366 PMCID: PMC11149188 DOI: 10.1186/s12916-024-03449-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 05/28/2024] [Indexed: 06/05/2024] Open
Abstract
BACKGROUND The trajectory of attention-deficit hyperactivity disorder (ADHD) symptoms in children and adolescents, encompassing descending, stable, and ascending patterns, delineates their ADHD status as remission, persistence or late onset. However, the neural and genetic underpinnings governing the trajectory of ADHD remain inadequately elucidated. METHODS In this study, we employed neuroimaging techniques, behavioral assessments, and genetic analyses on a cohort of 487 children aged 6-15 from the Children School Functions and Brain Development project at baseline and two follow-up tests for 1 year each (interval 1: 1.14 ± 0.32 years; interval 2: 1.14 ± 0.30 years). We applied a Latent class mixed model (LCMM) to identify the developmental trajectory of ADHD symptoms in children and adolescents, while investigating the neural correlates through gray matter volume (GMV) analysis and exploring the genetic underpinnings using polygenic risk scores (PRS). RESULTS This study identified three distinct trajectories (ascending-high, stable-low, and descending-medium) of ADHD symptoms from childhood through adolescence. Utilizing the linear mixed-effects (LME) model, we discovered that attention hub regions served as the neural basis for these three developmental trajectories. These regions encompassed the left anterior cingulate cortex/medial prefrontal cortex (ACC/mPFC), responsible for inhibitory control; the right inferior parietal lobule (IPL), which facilitated conscious focus on exogenous stimuli; and the bilateral middle frontal gyrus/precentral gyrus (MFG/PCG), accountable for regulating both dorsal and ventral attention networks while playing a crucial role in flexible modulation of endogenous and extrinsic attention. Furthermore, our findings revealed that individuals in the ascending-high group exhibited the highest PRS for ADHD, followed by those in the descending-medium group, with individuals in the stable-low group displaying the lowest PRS. Notably, both ascending-high and descending-medium groups had significantly higher PRS compared to the stable-low group. CONCLUSIONS The developmental trajectory of ADHD symptoms in the general population throughout childhood and adolescence can be reliably classified into ascending-high, stable-low, and descending-medium groups. The bilateral MFG/PCG, left ACC/mPFC, and right IPL may serve as crucial brain regions involved in attention processing, potentially determining these trajectories. Furthermore, the ascending-high pattern of ADHD symptoms exhibited the highest PRS for ADHD.
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Affiliation(s)
- Yanpei Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
| | - Leilei Ma
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Jiali Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Yuyin Ding
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Ningyu Liu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Weiwei Men
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Shuping Tan
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University, Beijing, 100096, China
| | - Jia-Hong Gao
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Shaozheng Qin
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Sha Tao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
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Voronin I, Ouellet‐Morin I, Petitclerc A, Morneau‐Vaillancourt G, Brendgen M, Dione G, Vitaro F, Boivin M. Intergenerational transmission of genetic risk for hyperactivity and inattention. Direct genetic transmission or genetic nurture? JCPP ADVANCES 2024; 4:e12222. [PMID: 38827976 PMCID: PMC11143957 DOI: 10.1002/jcv2.12222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 01/03/2024] [Indexed: 06/05/2024] Open
Abstract
Background Hyperactivity and inattention, the symptoms of ADHD, are marked by high levels of heritability and intergenerational transmission. Two distinct pathways of genetic intergenerational transmission are distinguished: direct genetic transmission when parental genetic variants are passed to the child's genome and genetic nurture when the parental genetic background contributes to the child's outcomes through rearing environment. This study assessed genetic contributions to hyperactivity and inattention in childhood through these transmission pathways. Methods The sample included 415 families from the Quebec Newborn Twin Study. Twins' hyperactivity and inattention were assessed in early childhood by parents and in primary school by teachers. The polygenic scores for ADHD (ADHD-PGS) and educational attainment (EA-PGS) were computed from twins' and parents' genotypes. A model of intergenerational transmission was developed to estimate (1) the contributions of parents' and children's PGS to the twins' ADHD symptoms and (2) whether these variances were explained by genetic transmission and/or genetic nurture. Results ADHD-PGS explained up to 1.6% of the variance of hyperactivity and inattention in early childhood and primary school. EA-PGS predicted ADHD symptoms at both ages, explaining up to 1.6% of the variance in early childhood and up to 5.5% in primary school. Genetic transmission was the only significant transmission pathway of both PGS. The genetic nurture channeled through EA-PGS explained up to 3.2% of the variance of inattention in primary school but this association was non-significant. Conclusions Genetic propensities to ADHD and education predicted ADHD symptoms in childhood, especially in primary school. Its intergenerational transmission was driven primarily by genetic variants passed to the child, rather than by environmentally mediated parental genetic effects. The model developed in this study can be leveraged in future research to investigate genetic transmission and genetic nurture while accounting for parental assortative mating.
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Affiliation(s)
- Ivan Voronin
- École de psychologieUniversité LavalQuébecQuebecCanada
| | - Isabelle Ouellet‐Morin
- School of CriminologyUniversity of MontrealThe Research Center of the Montreal Mental Health University Institute and the Research Group on Child MaladjustmentMontréalQuebecCanada
| | | | - Geneviève Morneau‐Vaillancourt
- Social, Genetic & Developmental Psychiatry CentreInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Mara Brendgen
- Département de PsychologieUniversité du Québec à MontréalMontréalQuebecCanada
| | - Ginette Dione
- École de psychologieUniversité LavalQuébecQuebecCanada
| | - Frank Vitaro
- École de PsychoéducationUniversité de MontréalMontréalQuebecCanada
| | - Michel Boivin
- École de psychologieUniversité LavalQuébecQuebecCanada
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Wang Y, Ma L, Wang J, Ding Y, Men W, Tan S, Gao JH, Qin S, He Y, Dong Q, Tao S. Connections Between the Middle Frontal Gyrus and the Dorsoventral Attention Network Are Associated With the Development of Attentional Symptoms. Biol Psychiatry 2024:S0006-3223(24)01291-5. [PMID: 38718879 DOI: 10.1016/j.biopsych.2024.04.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 04/24/2024] [Accepted: 04/29/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND The right middle frontal gyrus (MFG) has been proposed as a convergence site for the dorsal attention network (DAN) and ventral attention network (VAN), regulating both networks and enabling flexible modulation of attention. However, it is unclear whether the connections between the right MFG and these networks can predict changes in attention-deficit/hyperactivity disorder (ADHD) symptoms. METHODS This study used data from the Children School Functions and Brain Development project (N = 713, 56.2% boys). Resting-state functional magnetic resonance imaging was employed to analyze the connections of the right MFG with the DAN/VAN; connectome-based predictive modeling was applied for longitudinal prediction, and ADHD polygenic risk scores were used for genetic analysis. RESULTS ADHD symptoms were associated with the connections between the right MFG and DAN subregion, including the frontal eye field, as well as the VAN subregions, namely the inferior parietal lobule and inferior frontal gyrus. Furthermore, these connections of the right MFG with the frontal eye field, the inferior parietal lobule, and the inferior frontal gyrus could significantly predict changes in ADHD symptoms over 1 year and mediate the prediction of ADHD symptom changes by polygenic risk scores for ADHD. Finally, the validation samples confirmed that the functional connectivity between the right MFG and the frontal eye field/inferior parietal lobule in patients with ADHD was significantly weaker than that in typically developing control participants, and this difference disappeared after medication. CONCLUSIONS The connection of the right MFG with the DAN and VAN can serve as a predictive indicator for changes in ADHD symptoms over the following year, while also mediating the prediction of ADHD symptom changes by a polygenic risk score for ADHD. These findings hold promise as potential biomarkers for early identification of children who are at risk of developing ADHD.
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Affiliation(s)
- Yanpei Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
| | - Leilei Ma
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Jiali Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Yuyin Ding
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Weiwei Men
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Shuping Tan
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Jia-Hong Gao
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Shaozheng Qin
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Sha Tao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
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6
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Shastri GG, Sudre G, Ahn K, Jung B, Kolachana B, Auluck PK, Elnitski L, Marenco S, Shaw P. Cortico-striatal differences in the epigenome in attention-deficit/ hyperactivity disorder. Transl Psychiatry 2024; 14:189. [PMID: 38605038 PMCID: PMC11009227 DOI: 10.1038/s41398-024-02896-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 03/20/2024] [Accepted: 04/02/2024] [Indexed: 04/13/2024] Open
Abstract
While epigenetic modifications have been implicated in ADHD through studies of peripheral tissue, to date there has been no examination of the epigenome of the brain in the disorder. To address this gap, we mapped the methylome of the caudate nucleus and anterior cingulate cortex in post-mortem tissue from fifty-eight individuals with or without ADHD. While no single probe showed adjusted significance in differential methylation, several differentially methylated regions emerged. These regions implicated genes involved in developmental processes including neurogenesis and the differentiation of oligodendrocytes and glial cells. We demonstrate a significant association between differentially methylated genes in the caudate and genes implicated by GWAS not only in ADHD but also in autistic spectrum, obsessive compulsive and bipolar affective disorders through GWAS. Using transcriptomic data available on the same subjects, we found modest correlations between the methylation and expression of genes. In conclusion, this study of the cortico-striatal methylome points to gene and gene pathways involved in neurodevelopment, consistent with studies of common and rare genetic variation, as well as the post-mortem transcriptome in ADHD.
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Affiliation(s)
- Gauri G Shastri
- Social and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD, 20892, USA
| | - Gustavo Sudre
- Social and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD, 20892, USA
| | - Kwangmi Ahn
- Social and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD, 20892, USA
| | - Benjamin Jung
- Social and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD, 20892, USA
| | - Bhaskar Kolachana
- Human Brain Collection Core, National Institute of Mental Health, NIH, Bethesda, MD, 20892, USA
| | - Pavan K Auluck
- Human Brain Collection Core, National Institute of Mental Health, NIH, Bethesda, MD, 20892, USA
| | - Laura Elnitski
- Translational and Functional Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, MD, 20892, USA
| | - Stefano Marenco
- Human Brain Collection Core, National Institute of Mental Health, NIH, Bethesda, MD, 20892, USA
| | - Philip Shaw
- Social and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD, 20892, USA.
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Lorenzo NE, Bui HNT, Degnan KA, McDermott JM, Henderson HA, Fox NA, Chronis-Tuscano A. The Developmental Unfolding of ADHD Symptoms from Early Childhood Through Adolescence: Early Effects of Exuberant Temperament, Parenting and Executive Functioning. Res Child Adolesc Psychopathol 2024; 52:621-634. [PMID: 37975959 DOI: 10.1007/s10802-023-01140-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/04/2023] [Indexed: 11/19/2023]
Abstract
Temperament, parenting, and executive functioning (EF) are individual and contextual factors that have been identified to play a role in the development of Attention-Deficit/Hyperactivity Disorder (ADHD) symptoms. Specifically, exuberant temperament in toddlerhood has been associated with both adaptive and maladaptive outcomes, including ADHD symptoms. Therefore, it is important to understand factors that predict which exuberant children experience increased ADHD symptoms and the specific mechanisms through which early exuberant temperament impacts later ADHD symptoms. Using a multi-method, prospective longitudinal design, this study examined a moderated mediation model wherein the interactive effects of observed exuberance and parenting at age 3 predicted the development of parent-reported ADHD symptoms from childhood through adolescence (age 5, 7, 9, 12, and 15) via child EF (i.e., inhibitory control) at age 4. Parent-child dyads (n = 291) from a longitudinal study on child temperament were included. A piecewise model of ADHD symptom growth demonstrated stability in ADHD symptoms from age 5-9 and a decrease from age 9-15. Results support a moderated mediation model wherein an increase in ADHD symptoms throughout childhood was predicted from early childhood exuberant temperament by way of EF, but only for children whose parents displayed less directive parenting. Findings suggest identifiable early markers of risk, including temperament, parenting, and EF- pointing to possible targets for early intervention/prevention.
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Affiliation(s)
- Nicole E Lorenzo
- Psychology Department, American University, 4400 Massachusetts Avenue, NW, Washington, DC, 20016, US.
| | - Hong N T Bui
- Psychology Department, University of Maryland, College Park, MD, US
| | | | - Jennifer M McDermott
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, MA, US
| | | | - Nathan A Fox
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD, US
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8
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Dionne G, Mascheretti S, Feng B, Paradis H, Brendgen M, Vitaro F, Tremblay R, Boivin M. Genetic and phenotypic evidence of the predictive validity of preschool parent reports of hyperactivity/impulsivity and inattention. Dev Psychopathol 2024:1-13. [PMID: 38439652 DOI: 10.1017/s095457942400035x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]
Abstract
To determine the validity of parent reports (PRs) of ADHD in preschoolers, we assessed hyperactivity/impulsivity (HI) and inattention (IN) in 1114 twins with PRs at 1.5, 2.5, 4, 5, 14, 15, and 17 years, and teacher-reports at 6, 7, 9, 10, and 12. We examined if preschool PRs (1) predict high HI/IN trajectories, and (2) capture genetic contributions to HI/IN into adolescence. Group-based trajectory analyses identified three 6-17 years trajectories for both HI and IN, including small groups with high HI (N = 88, 10.4%, 77% boys) and IN (N = 158, 17.3%, 75% boys). Controlling for sex, each unit of HI PRs starting at 1.5 years and at 4 years for IN, increased more than 2-fold the risk of belonging to the high trajectory, with incremental contributions (Odds Ratios = 2.5-4.5) at subsequent ages. Quantitative genetic analyses showed that genetic contributions underlying preschool PRs accounted for up to a quarter and a third of the heritability of later HI and IN, respectively. Genes underlying 1.5-year HI and 4-year IN contributed to 6 of 8 later HI and IN time-points and largely explained the corresponding phenotypic correlations. Results provide phenotypic and genetic evidence that preschool parent reports of HI and IN are valid means to predict developmental risk of ADHD.
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Affiliation(s)
- Ginette Dionne
- School of Psychology, Université Laval, Québec City, Canada
| | - Sara Mascheretti
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Italy
| | - Bei Feng
- School of Psychology, Université Laval, Québec City, Canada
| | - Hélène Paradis
- School of Psychology, Université Laval, Québec City, Canada
| | - Mara Brendgen
- Department of Psychology, Université du Québec à Montréal, Montréal, Canada
| | - Frank Vitaro
- School of Psychoeducation, Université de Montréal, Montréal, Canada
| | - Richard Tremblay
- Department of Psychology, Université de Montréal, Montréal, Canada
| | - Michel Boivin
- School of Psychology, Université Laval, Québec City, Canada
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9
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Zheng Y, Xu J, Li K, Hu Y. A Dynamical Systems Investigation of the Co-regulation between Perceived Daily Parental Warmth and Adolescent Attention-deficit/hyperactivity Disorder Symptoms. Res Child Adolesc Psychopathol 2024; 52:111-124. [PMID: 36881211 DOI: 10.1007/s10802-023-01039-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/08/2023] [Indexed: 03/08/2023]
Abstract
Longitudinal research demonstrates that child ADHD symptoms and behaviors exhibit reciprocal associations with parenting behaviors over time. However, minimal research has investigated these associations and their dynamic links at the daily level. Intensive longitudinal data can disentangle stable between-person differences from within-person fluctuations and reveal nuanced short-term family dynamics on a micro timescale. Using 30-day daily diary data from a community sample of 86 adolescents (Mage = 14.5, 55% female, 56% White, 22% Asian) and latent differential equation modeling, this study examined the links between perceived daily parental warmth and ADHD symptoms as coupled dynamical systems. The results show that the magnitude of fluctuations in perceived daily parental warmth generally remains stable, while elevated ADHD symptoms return to their normal level over time. Perceived parental warmth is sensitive to change in ADHD symptoms such that adolescents feel that their parents will fine-tune their warmth with gradual changes when adolescents demonstrate heightened symptoms. There are substantial between-family differences in these regulating system dynamics. Among families with more baseline parental non-harsh discipline, both perceived parental warmth and ADHD symptoms tend to be more stable and fluctuate less often. Intensive longitudinal data and dynamical systems approaches offer a new lens to uncover short-term family dynamics and adolescent adjustment at a refined micro level. Future research should explore antecedents and consequences of between-family differences in these short-term family dynamics on multiple timescales.
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Affiliation(s)
- Yao Zheng
- Department of Psychology, University of Alberta, Edmonton, AB, Canada.
| | - Jingyi Xu
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
| | - Kehan Li
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
| | - Yueqin Hu
- Faculty of Psychology, Beijing Normal University, Beijing, People's Republic of China.
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10
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Bright JK, Rayner C, Freeman Z, Zavos HMS, Ahmadzadeh YI, Viding E, McAdams TA. Using twin-pairs to assess potential bias in polygenic prediction of externalising behaviours across development. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.13.23299910. [PMID: 38168304 PMCID: PMC10760293 DOI: 10.1101/2023.12.13.23299910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Prediction from polygenic scores may be confounded sources of passive gene-environment correlation (rGE; e.g. population stratification, assortative mating, and environmentally mediated effects of parental genotype on child phenotype). Using genomic data from 10,000 twin pairs, we asked whether polygenic scores from the recent externalising genome-wide association study predicted conduct problems, ADHD symptomology and callous-unemotional traits, and whether these predictions are biased by rGE. We ran regression models including within-family and between-family polygenic scores, to separate the direct genetic influence on a trait from environmental influences that correlate with genes (indirect genetic effects). Findings suggested that this externalising polygenic score is a good index of direct genetic influence on conduct and ADHD-related symptoms across development, with minimal bias from rGE, although the polygenic score predicted less variance in CU traits. Post-hoc analyses showed some indirect genetic effects acting on a common factor indexing stability of conduct problems across time and contexts.
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Affiliation(s)
- Joanna K Bright
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, Kings College London
| | - Christopher Rayner
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, Kings College London
| | - Ze Freeman
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, Kings College London
| | - Helena M S Zavos
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, Kings College London
| | - Yasmin I Ahmadzadeh
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, Kings College London
| | - Essi Viding
- Division of Psychology and Language Sciences, University College London
| | - Tom A McAdams
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, Kings College London
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
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11
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Li X, Motwani C, Cao M, Martin E, Halperin JM. Working Memory-Related Neurofunctional Correlates Associated with the Frontal Lobe in Children with Familial vs. Non-Familial Attention Deficit/Hyperactivity Disorder. Brain Sci 2023; 13:1469. [PMID: 37891836 PMCID: PMC10605263 DOI: 10.3390/brainsci13101469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/13/2023] [Accepted: 10/16/2023] [Indexed: 10/29/2023] Open
Abstract
Attention deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder with high prevalence, heritability, and heterogeneity. Children with a positive family history of ADHD have a heightened risk of ADHD emergence, persistence, and executive function deficits, with the neural mechanisms having been under investigated. The objective of this study was to investigate working memory-related functional brain activation patterns in children with ADHD (with vs. without positive family histories (ADHD-F vs. ADHD-NF)) and matched typically developing children (TDC). Voxel-based and region of interest analyses were conducted on two-back task-based fMRI data of 362 subjects, including 186, 96, and 80 children in groups of TDC, ADHD-NF, and ADHD-F, respectively. Relative to TDC, both ADHD groups had significantly reduced activation in the left inferior frontal gyrus (IFG). And the ADHD-F group demonstrated a significant positive association of left IFG activation with task reaction time, a negative association of the right IFG with ADHD symptomatology, and a negative association of the IFG activation laterality index with the inattention symptom score. These results suggest that working memory-related functional alterations in bilateral IFGs may play distinct roles in ADHD-F, with the functional underdevelopment of the left IFG significantly informing the onset of ADHD symptoms. Our findings have the potential to assist in tailored diagnoses and targeted interventions in children with ADHD-F.
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Affiliation(s)
- Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA; (C.M.); (M.C.); (E.M.)
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
| | - Chirag Motwani
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA; (C.M.); (M.C.); (E.M.)
- Graduate School of Biomedical Sciences, Rutgers University, Newark, NJ 07102, USA
| | - Meng Cao
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA; (C.M.); (M.C.); (E.M.)
- Graduate School of Biomedical Sciences, Rutgers University, Newark, NJ 07102, USA
| | - Elizabeth Martin
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA; (C.M.); (M.C.); (E.M.)
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jeffrey M. Halperin
- Department of Psychology, Queens College, City University of New York, New York, NY 11367, USA;
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12
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He Q, Keding TJ, Zhang Q, Miao J, Russell JD, Herringa RJ, Lu Q, Travers BG, Li JJ. Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort. J Neurodev Disord 2023; 15:30. [PMID: 37653373 PMCID: PMC10469494 DOI: 10.1186/s11689-023-09498-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 08/21/2023] [Indexed: 09/02/2023] Open
Abstract
BACKGROUND ADHD polygenic scores (PGSs) have been previously shown to predict ADHD outcomes in several studies. However, ADHD PGSs are typically correlated with ADHD but not necessarily reflective of causal mechanisms. More research is needed to elucidate the neurobiological mechanisms underlying ADHD. We leveraged functional annotation information into an ADHD PGS to (1) improve the prediction performance over a non-annotated ADHD PGS and (2) test whether volumetric variation in brain regions putatively associated with ADHD mediate the association between PGSs and ADHD outcomes. METHODS Data were from the Philadelphia Neurodevelopmental Cohort (N = 555). Multiple mediation models were tested to examine the indirect effects of two ADHD PGSs-one using a traditional computation involving clumping and thresholding and another using a functionally annotated approach (i.e., AnnoPred)-on ADHD inattention (IA) and hyperactivity-impulsivity (HI) symptoms, via gray matter volumes in the cingulate gyrus, angular gyrus, caudate, dorsolateral prefrontal cortex (DLPFC), and inferior temporal lobe. RESULTS A direct effect was detected between the AnnoPred ADHD PGS and IA symptoms in adolescents. No indirect effects via brain volumes were detected for either IA or HI symptoms. However, both ADHD PGSs were negatively associated with the DLPFC. CONCLUSIONS The AnnoPred ADHD PGS was a more developmentally specific predictor of adolescent IA symptoms compared to the traditional ADHD PGS. However, brain volumes did not mediate the effects of either a traditional or AnnoPred ADHD PGS on ADHD symptoms, suggesting that we may still be underpowered in clarifying brain-based biomarkers for ADHD using genetic measures.
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Affiliation(s)
- Quanfa He
- Department of Psychology, University of, Wisconsin-Madison, 1202 W. Johnson Street, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, USA
| | | | - Qi Zhang
- Department of Educational Psychology, University of Wisconsin-Madison, Madison, USA
| | - Jiacheng Miao
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, USA
| | - Justin D Russell
- Department of Psychiatry, School of Medicine and Public Health, University of Wisconsin, Madison, USA
| | - Ryan J Herringa
- Department of Psychiatry, School of Medicine and Public Health, University of Wisconsin, Madison, USA
| | - Qiongshi Lu
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, USA
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, USA
- Department of Statistics, University of Wisconsin-Madison, Madison, USA
| | - Brittany G Travers
- Waisman Center, University of Wisconsin-Madison, Madison, USA
- Department of Kinesiology, University of Wisconsin-Madison, Madison, USA
| | - James J Li
- Department of Psychology, University of, Wisconsin-Madison, 1202 W. Johnson Street, Madison, WI, 53706, USA.
- Waisman Center, University of Wisconsin-Madison, Madison, USA.
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, USA.
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13
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Cao M, Martin E, Li X. Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms. Transl Psychiatry 2023; 13:236. [PMID: 37391419 DOI: 10.1038/s41398-023-02536-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 06/19/2023] [Accepted: 06/21/2023] [Indexed: 07/02/2023] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous neurodevelopmental disorder in children and has a high chance of persisting in adulthood. The development of individualized, efficient, and reliable treatment strategies is limited by the lack of understanding of the underlying neural mechanisms. Diverging and inconsistent findings from existing studies suggest that ADHD may be simultaneously associated with multivariate factors across cognitive, genetic, and biological domains. Machine learning algorithms are more capable of detecting complex interactions between multiple variables than conventional statistical methods. Here we present a narrative review of the existing machine learning studies that have contributed to understanding mechanisms underlying ADHD with a focus on behavioral and neurocognitive problems, neurobiological measures including genetic data, structural magnetic resonance imaging (MRI), task-based and resting-state functional MRI (fMRI), electroencephalogram, and functional near-infrared spectroscopy, and prevention and treatment strategies. Implications of machine learning models in ADHD research are discussed. Although increasing evidence suggests that machine learning has potential in studying ADHD, extra precautions are still required when designing machine learning strategies considering the limitations of interpretability and generalization.
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Affiliation(s)
- Meng Cao
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | | | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA.
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14
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The shared white matter developmental trajectory anomalies of attention-deficit/hyperactivity disorder and autism spectrum disorders: A meta-analysis of diffusion tensor imaging studies. Prog Neuropsychopharmacol Biol Psychiatry 2023; 124:110731. [PMID: 36764642 DOI: 10.1016/j.pnpbp.2023.110731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 01/14/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) show common brain area abnormalities, which may contribute to the high shared co-occurrence symptoms and comorbidity of the two disorders. However, neuroanatomic anomalies in neurodevelopmental disorders may change over the course of development, and the developmental variation of these two disorders is unclear. Our study conducted a systematic literature search of PubMed, Web of Science, and EMBASE databases to identify disorder-shared abnormalities of white matter (WM) from childhood to adulthood in ADHD and ASD. 28 ADHD and 23 ASD datasets were included in this meta-analysis and were analysed by AES-SDM to detect differences in fractional anisotropy in patients compared to typically developing individuals. Our main findings reveal the variable WM developmental trajectories in ADHD and ASD respectively, and the two disorders showed overlapping corpus callosum tract abnormalities in their development from children to adults. Furthermore, the overlapping abnormalities of the corpus callosum tract increased with age, which may be related to their gradually increasing shared symptoms and comorbidity in these two disorders.
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15
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Norman LJ, Price J, Ahn K, Sudre G, Sharp W, Shaw P. Longitudinal trajectories of childhood and adolescent attention deficit hyperactivity disorder diagnoses in three cohorts. EClinicalMedicine 2023; 60:102021. [PMID: 37333663 PMCID: PMC10272308 DOI: 10.1016/j.eclinm.2023.102021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/04/2023] [Accepted: 05/09/2023] [Indexed: 06/20/2023] Open
Abstract
Background Attention deficit/hyperactivity disorder (ADHD) is usually conceptualized as a childhood-onset neurodevelopmental disorder, in which symptoms either decrease steadily into adulthood or remain stable. A recent study challenged this view, reporting that for most with ADHD, diagnostic status fluctuates with age. We ask if such a 'fluctuating' ADHD symptom trajectory subgroup is present in other population-based and clinic-based cohorts, centered on childhood and adolescence. Methods Cohorts were the population-based Adolescent Brain Cognitive Development (ABCD: N = 9735), Neurobehavioral Clinical Research (NCR: N = 258), and the Nathan Kline Institute-Rockland (NKI-Rockland: N = 149). All participants had three or more assessments spanning different age windows. Participants were categorized into developmental diagnostic subgroups: fluctuant ADHD (defined by two or more switches between meeting and not meeting ADHD criteria), remitting ADHD, persisting ADHD, emerging ADHD and never affected. Data were collected between 2011 and 2022. Analyses were performed between May 2022 and April 2023. Findings A subgroup with fluctuant child and adolescent ADHD diagnoses was found in all cohorts (29.3% of participants with ADHD in ABCD, 26.6% in NCR and 17% in NKI-Rockland). While the proportion of those with fluctuant ADHD increased with the number of assessments, it never constituted the dominant subgroup. Interpretation We provide further evidence in three cohorts for the existence of a fluctuant ADHD diagnostic subgroup during childhood and adolescence, albeit in a minority of cases. Such fluctuant child and adolescent ADHD diagnoses may suggest a natural history more akin to relapsing-remitting mood disorders and/or a marked sensitivity to environmental shifts that occur across development. Funding Intramural programs of the NHGRI and NIMH.
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Affiliation(s)
- Luke J. Norman
- National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
- Section on Neurobehavioral and Clinical Research, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Jolie Price
- Section on Neurobehavioral and Clinical Research, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Kwangmi Ahn
- Section on Neurobehavioral and Clinical Research, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Gustavo Sudre
- Section on Neurobehavioral and Clinical Research, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Wendy Sharp
- National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Philip Shaw
- National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
- Section on Neurobehavioral and Clinical Research, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
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16
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Zhang DW. Perspectives on heterogeneity-informed cognitive training for attention-deficit/hyperactivity disorder. Front Psychiatry 2023; 13:1100008. [PMID: 36713921 PMCID: PMC9878183 DOI: 10.3389/fpsyt.2022.1100008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 12/30/2022] [Indexed: 01/13/2023] Open
Abstract
Attention-deficit/hyperactivity disorder (AD/HD) is a heterogeneous neurodevelopmental condition, posing a severe threat to quality of life. Pharmacological therapies are the front-line treatment; however, their shortages encourage the development of alternative treatments for AD/HD. One promising method of developing alternative treatments is cognitive training (CT). A CT-based therapy was recently approved by the US Food and Drug Administration. However, due to heterogeneity in AD/HD, a CT protocol is unlikely to provide a one-size-fits-all solution for all patients with AD/HD. Therefore, this article highlights key aspects that need to be considered to further develop CT protocols for AD/HD, regarding training content, timing, suitability, and delivery mode. The perspectives presented here contribute to optimizing CT as an alternative option for treating AD/HD.
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Affiliation(s)
- Da-Wei Zhang
- Department of Psychology and Center for Place-Based Education, Yangzhou University, Yangzhou, China
- Department of Psychology, Monash University Malaysia, Bandar Sunway, Malaysia
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17
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Gómez-Cano S, Zapata-Ospina JP, Arcos-Burgos M, Palacio-Ortiz JD. The role of psychosocial adversity in the aetiology and course of attention deficit hyperactivity disorder. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2023; 52:65-72. [PMID: 37085236 DOI: 10.1016/j.rcpeng.2021.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 02/05/2021] [Indexed: 04/23/2023]
Abstract
INTRODUCTION Attention deficit/hyperactivity disorder (ADHD) has genetic and environmental aetiological factors. There are few publications on the environmental factors. The objective of this review is to present the role of psychosocial adversity in the aetiology and course of ADHD. METHODS A search was carried out in the following databases: PubMed, ScienceDirect, SciELO, ClinicalKey, EMBASE, Lilacs, OVID, APA and PsycNET. English and Spanish were selected without being limited by type of study or year of publication. Finally, a qualitative synthesis was conducted. RESULTS ADHD development could be related to exposure to adverse factors in the family, school or social environment. It has been proposed as an explanatory mechanism that adversity interacts with genetic variants and leads to neurobiological changes. There may also be a gene-environment correlation whereby individual hereditary characteristics increase the risk of exposure to adversity, and indirectly increase the probability of developing ADHD. Research on psychosocial adversity represents a big challenge, not only due to the complexity of its construct, but also to the effect of subjective perception of a given event. CONCLUSIONS ADHD aetiology is complex and involves the interaction of both genetic and environmental factors, in which these factors correlate and cause the disorder. The study of the role of psychosocial adversity in ADHD is fundamental, but it remains a task that entails great difficulties.
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Affiliation(s)
- Sujey Gómez-Cano
- Hospital San Vicente de Paúl, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia; Grupo de Investigación en Psiquiatría (GIPSI), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Juan Pablo Zapata-Ospina
- Instituto de Investigaciones Médicas, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Mauricio Arcos-Burgos
- Hospital San Vicente de Paúl, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia; Grupo de Investigación en Psiquiatría (GIPSI), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Juan David Palacio-Ortiz
- Hospital San Vicente de Paúl, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia; Grupo de Investigación en Psiquiatría (GIPSI), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.
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18
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Baboli R, Cao M, Halperin JM, Li X. Distinct Thalamic and Frontal Neuroanatomical Substrates in Children with Familial vs. Non-Familial Attention-Deficit/Hyperactivity Disorder (ADHD). Brain Sci 2022; 13:46. [PMID: 36672028 PMCID: PMC9856951 DOI: 10.3390/brainsci13010046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 12/15/2022] [Accepted: 12/17/2022] [Indexed: 12/28/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent, inheritable, and heterogeneous neurodevelopmental disorder. Children with a family history of ADHD are at elevated risk of having ADHD and persisting its symptoms into adulthood. The objective of this study was to investigate the influence of having or not having positive family risk factor in the neuroanatomy of the brain in children with ADHD. Cortical thickness-, surface area-, and volume-based measures were extracted and compared in a total of 606 participants, including 132, 165, and 309 in groups of familial ADHD (ADHD-F), non-familial ADHD (ADHD-NF), and typically developed children, respectively. Compared to controls, ADHD probands showed significantly reduced gray matter surface area in the left cuneus. Among the ADHD subgroups, ADHD-F showed significantly increased gray matter volume in the right thalamus and significantly thinner cortical thickness in the right pars orbitalis. Among ADHD-F, an increased volume of the right thalamus was significantly correlated with a reduced DSM-oriented t-score for ADHD problems. The findings of this study may suggest that a positive family history of ADHD is associated with the structural abnormalities in the thalamus and inferior frontal gyrus; these anatomical abnormalities may significantly contribute to the emergence of ADHD symptoms.
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Affiliation(s)
- Rahman Baboli
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
- Graduate School of Biomedical Sciences, Rutgers University, Newark, NJ 07039, USA
| | - Meng Cao
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
- Graduate School of Biomedical Sciences, Rutgers University, Newark, NJ 07039, USA
| | - Jeffery M. Halperin
- Department of Psychology, Queens College, City University of New York, New York, NY 11367, USA
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
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19
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Sellers R, Riglin L, Harold GT, Thapar A. Using genetic designs to identify likely causal environmental contributions to psychopathology. Dev Psychopathol 2022; 34:1-13. [PMID: 36200346 DOI: 10.1017/s0954579422000906] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The multifactorial nature of psychopathology, whereby both genetic and environmental factors contribute risk, has long been established. In this paper, we provide an update on genetically informative designs that are utilized to disentangle genetic and environmental contributions to psychopathology. We provide a brief reminder of quantitative behavioral genetic research designs that have been used to identify potentially causal environmental processes, accounting for genetic contributions. We also provide an overview of recent molecular genetic approaches that utilize genome-wide association study data which are increasingly being applied to questions relevant to psychopathology research. While genetically informative designs typically have been applied to investigate the origins of psychopathology, we highlight how these approaches can also be used to elucidate potential causal environmental processes that contribute to developmental course and outcomes. We highlight the need to use genetically sensitive designs that align with intervention and prevention science efforts, by considering strengths-based environments to investigate how positive environments can mitigate risk and promote children's strengths.
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Affiliation(s)
- Ruth Sellers
- Brighton & Sussex Medical School, University of Sussex, Brighton, UK
| | - Lucy Riglin
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Wolfson Centre for Young People's Mental Health, Cardiff University, Cardiff, UK
| | - Gordon T Harold
- Faculty of Education, University of Cambridge, Cambridge, UK
- School of Medicine, Child and Adolescent Psychiatry Unit, University College Dublin, Dublin, Ireland
| | - Anita Thapar
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Wolfson Centre for Young People's Mental Health, Cardiff University, Cardiff, UK
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20
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Allegrini AG, Baldwin JR, Barkhuizen W, Pingault JB. Research Review: A guide to computing and implementing polygenic scores in developmental research. J Child Psychol Psychiatry 2022; 63:1111-1124. [PMID: 35354222 PMCID: PMC10108570 DOI: 10.1111/jcpp.13611] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 02/28/2022] [Accepted: 03/04/2022] [Indexed: 12/14/2022]
Abstract
The increasing availability of genotype data in longitudinal population- and family-based samples provides opportunities for using polygenic scores (PGS) to study developmental questions in child and adolescent psychology and psychiatry. Here, we aim to provide a comprehensive overview of how PGS can be generated and implemented in developmental psycho(patho)logy, with a focus on longitudinal designs. As such, the paper is organized into three parts: First, we provide a formal definition of polygenic scores and related concepts, focusing on assumptions and limitations. Second, we give a general overview of the methods used to compute polygenic scores, ranging from the classic approach to more advanced methods. We include recommendations and reference resources available to researchers aiming to conduct PGS analyses. Finally, we focus on the practical applications of PGS in the analysis of longitudinal data. We describe how PGS have been used to research developmental outcomes, and how they can be applied to longitudinal data to address developmental questions.
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Affiliation(s)
- Andrea G Allegrini
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK.,Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jessie R Baldwin
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK.,Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Wikus Barkhuizen
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Jean-Baptiste Pingault
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK.,Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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21
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Langley K, Martin J, Thapar A. Genetics of Attention-Deficit Hyperactivity Disorder. Curr Top Behav Neurosci 2022; 57:243-268. [PMID: 35538303 DOI: 10.1007/7854_2022_338] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Attention-Deficit Hyperactivity Disorder (ADHD) has long been recognized as being a highly heritable condition and our understanding of the genetic contributions to ADHD has grown over the past few decades. This chapter will discuss the studies that have examined its heritability and the efforts to identify specific genetic risk-variants at the molecular genetic level. We outline the various techniques that have been used to characterize genetic contributions to ADHD, describing what we have learnt so far, what there is still to learn and the methodologies that can be used to further our knowledge. In doing so we will discuss research into rare and common genetic variants, polygenic risk scores, and gene-environment interplay, while also describing what genetic studies have revealed about the biological processes involved in ADHD and what they have taught us about the overlap between ADHD and other psychiatric and somatic disorders. Finally, we will discuss the strengths and limitations of the current methodologies and clinical implications of genetic research to date.
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Affiliation(s)
- Kate Langley
- School of Psychology, Cardiff University, Cardiff, UK. .,MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.
| | - Joanna Martin
- MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.,Division of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK.,Wolfson Centre for Young People's Mental Health, Cardiff University, Cardiff, UK
| | - Anita Thapar
- MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.,Division of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK.,Wolfson Centre for Young People's Mental Health, Cardiff University, Cardiff, UK
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22
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Lyon RE, Rizeq J, Flora DB, Martinussen R, Andrade BF, Toplak ME. Age-Related Variance in Performance versus Ratings of Attention and Impulse Regulation in Children: Implications for the Assessment of ADHD. Brain Sci 2022; 12:brainsci12081033. [PMID: 36009096 PMCID: PMC9406227 DOI: 10.3390/brainsci12081033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 07/31/2022] [Accepted: 08/01/2022] [Indexed: 02/04/2023] Open
Abstract
Executive function task (EF) deficits are hypothesized to underlie difficulties with self-regulation. However, tasks assessing EF impairments have only been weakly correlated with rating scales that index self-regulation difficulties. A community sample of children and youth aged between 8 and 20 years old were assessed longitudinally. Growth curve analyses and correlations were conducted to better understand how these two types of measures relate to one another across development, as well as the impact of age-related variance. EF was assessed using the Stroop Task and Trail Making test and behavioral ratings of self-regulation were captured using the SWAN scale. EF task performance improved steeply until age 14–15, whereas the SWAN Scale showed small age-related decreases. EF task performance was moderately correlated with age among 8–13-year-olds and to a lesser extent among 14–20-year-olds. SWAN scores were not significantly related to age in either group. Correlations were similar in an ADHD “at-risk” subgroup. EF task performance and parent ratings of attention regulation have different developmental trajectories, which may partly explain why correlations are low to modest in these samples. In particular, age-related variance is an important methodological consideration with significant implications for the assessment of self-regulation in children and youth with ADHD.
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Affiliation(s)
- Rachael E. Lyon
- Department of Psychology, York University, Toronto, ON M3J 1P3, Canada
- LaMarsh Centre for Child and Youth Research, York University, Toronto, ON M3J 1P3, Canada
- Correspondence:
| | - Jala Rizeq
- School of Health & Wellbeing, University of Glasgow, Glasgow G12 8QQ, UK
| | - David B. Flora
- Department of Psychology, York University, Toronto, ON M3J 1P3, Canada
| | - Rhonda Martinussen
- Department of Applied Psychology and Human Development, Ontario Institute for Studies in Education (OISE), Toronto, ON M5S 1V6, Canada
| | - Brendan F. Andrade
- Child Youth & Emerging Adult Program, Centre for Addiction and Mental Health, Toronto, ON M6J 1H4, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Maggie E. Toplak
- Department of Psychology, York University, Toronto, ON M3J 1P3, Canada
- LaMarsh Centre for Child and Youth Research, York University, Toronto, ON M3J 1P3, Canada
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23
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Rajagopal VM, Duan J, Vilar-Ribó L, Grove J, Zayats T, Ramos-Quiroga JA, Satterstrom FK, Artigas MS, Bybjerg-Grauholm J, Bækvad-Hansen M, Als TD, Rosengren A, Daly MJ, Neale BM, Nordentoft M, Werge T, Mors O, Hougaard DM, Mortensen PB, Ribasés M, Børglum AD, Demontis D. Differences in the genetic architecture of common and rare variants in childhood, persistent and late-diagnosed attention-deficit hyperactivity disorder. Nat Genet 2022; 54:1117-1124. [PMID: 35927488 PMCID: PMC10028590 DOI: 10.1038/s41588-022-01143-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 06/22/2022] [Indexed: 02/02/2023]
Abstract
Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder with onset in childhood (childhood ADHD); two-thirds of affected individuals continue to have ADHD in adulthood (persistent ADHD), and sometimes ADHD is diagnosed in adulthood (late-diagnosed ADHD). We evaluated genetic differences among childhood (n = 14,878), persistent (n = 1,473) and late-diagnosed (n = 6,961) ADHD cases alongside 38,303 controls, and rare variant differences in 7,650 ADHD cases and 8,649 controls. We identified four genome-wide significant loci for childhood ADHD and one for late-diagnosed ADHD. We found increased polygenic scores for ADHD in persistent ADHD compared with the other two groups. Childhood ADHD had higher genetic overlap with hyperactivity and autism compared with late-diagnosed ADHD and the highest burden of rare protein-truncating variants in evolutionarily constrained genes. Late-diagnosed ADHD had a larger genetic overlap with depression than childhood ADHD and no increased burden in rare protein-truncating variants. Overall, these results suggest a genetic influence on age at first ADHD diagnosis, persistence of ADHD and the different comorbidity patterns among the groups.
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Affiliation(s)
- Veera M Rajagopal
- Department of Biomedicine (Human Genetics), Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Jinjie Duan
- Department of Biomedicine (Human Genetics), Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Laura Vilar-Ribó
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Jakob Grove
- Department of Biomedicine (Human Genetics), Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
- BiRC, Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Tetyana Zayats
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- PROMENTA, Department of Psychology, University of Oslo, Oslo, Norway
| | - J Antoni Ramos-Quiroga
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - F Kyle Satterstrom
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - María Soler Artigas
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jonas Bybjerg-Grauholm
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Marie Bækvad-Hansen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Thomas D Als
- Department of Biomedicine (Human Genetics), Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Anders Rosengren
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Mental Health Centre Sct. Hans, Capital Region of Denmark, Institute of Biological Psychiatry, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mark J Daly
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Benjamin M Neale
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Mental Health Centre Copenhagen, Capital Region of Denmark, Copenhagen University Hospital, Copenhagen, Denmark
| | - Thomas Werge
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Mental Health Centre Sct. Hans, Capital Region of Denmark, Institute of Biological Psychiatry, Copenhagen University Hospital, Copenhagen, Denmark
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Aarhus, Denmark
| | - David M Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Preben B Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- National Centre for Register-Based Research, Business and Social Sciences, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Aarhus, Denmark
| | - Marta Ribasés
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - Anders D Børglum
- Department of Biomedicine (Human Genetics), Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Ditte Demontis
- Department of Biomedicine (Human Genetics), Aarhus University, Aarhus, Denmark.
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
- Center for Genomics and Personalized Medicine, Aarhus, Denmark.
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24
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Badrfam R, Zandifar A, Barkhori Mehni M, Farid M, Rahiminejad F. Comorbidity of adult ADHD and substance use disorder in a sample of inpatients bipolar disorder in Iran. BMC Psychiatry 2022; 22:480. [PMID: 35854247 PMCID: PMC9295524 DOI: 10.1186/s12888-022-04124-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 06/24/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUNDS The study of the relationship between adult Attention deficit hyperactivity disorder (ADHD) and bipolar disorder has received more attention in recent years and there is limited information in this area. On the other hand, there is a significant comorbidity between ADHD and bipolar disorder with substance use disorder. In this study, we investigated the prevalence of comorbidity of adult ADHD and substance use disorder among a group of bipolar patients admitted to a psychiatric hospital. METHODS One hundred fifty patients from a total of 200 consecutive patients who were referred to the emergency department of Roozbeh Psychiatric Hospital in Tehran, diagnosed with bipolar disorder based on the initial psychiatric interview and needed hospitalization, were evaluated again by an experienced faculty member psychiatrist by using a subsequent interview based on the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition(DSM-5). They were evaluated using the Structured Clinical Interview for DSM-5 (SCID-5) questionnaire to confirm the diagnosis of bipolar disorder and the comorbidity of adult ADHD and substance use disorder. RESULTS From 150 patients diagnosed with bipolar disorder, 106 patients (70.7%) had adult ADHD. 89 patients (59.3%) had substance use disorder and 58 patients (38.7%) had both of these comorbidities with bipolar disorder. Comorbidity of adult ADHD was associated with the earlier onset of the first mood episode in bipolar disorder (p value = 0.025). There was no statistically significant relationship between substance use disorder and age of onset of the first episode. (P value = 0.57). CONCLUSIONS Due to the limitations of studies on adult ADHD comorbidity with bipolar disorder, especially in hospital settings, as well as the increased risk of association with substance use disorder, further multicenter studies in this area with larger sample sizes can increase awareness in this regard.
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Affiliation(s)
- Rahim Badrfam
- grid.411705.60000 0001 0166 0922Department of Psychiatry, Faculty of Medicine, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Atefeh Zandifar
- grid.411705.60000 0001 0166 0922Social Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran ,grid.411705.60000 0001 0166 0922Department of Psychiatry, Imam Hossein Hospital, Alborz University of Medical Sciences, Karaj, Iran
| | - Mahdi Barkhori Mehni
- grid.411705.60000 0001 0166 0922Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Malihe Farid
- grid.411705.60000 0001 0166 0922Social Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran ,grid.411705.60000 0001 0166 0922Non Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Fatemeh Rahiminejad
- Department of Psychiatry, Faculty of Medicine, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran.
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25
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Mountford HS, Braden R, Newbury DF, Morgan AT. The Genetic and Molecular Basis of Developmental Language Disorder: A Review. CHILDREN (BASEL, SWITZERLAND) 2022; 9:586. [PMID: 35626763 PMCID: PMC9139417 DOI: 10.3390/children9050586] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/28/2022] [Accepted: 04/12/2022] [Indexed: 01/05/2023]
Abstract
Language disorders are highly heritable and are influenced by complex interactions between genetic and environmental factors. Despite more than twenty years of research, we still lack critical understanding of the biological underpinnings of language. This review provides an overview of the genetic landscape of developmental language disorders (DLD), with an emphasis on the importance of defining the specific features (the phenotype) of DLD to inform gene discovery. We review the specific phenotype of DLD in the genetic literature, and the influence of historic variation in diagnostic inclusion criteria on researchers' ability to compare and replicate genotype-phenotype studies. This review provides an overview of the recently identified gene pathways in populations with DLD and explores current state-of-the-art approaches to genetic analysis based on the hypothesised architecture of DLD. We will show how recent global efforts to unify diagnostic criteria have vastly increased sample size and allow for large multi-cohort metanalyses, leading the identification of a growing number of contributory loci. We emphasise the important role of estimating the genetic architecture of DLD to decipher underlying genetic associations. Finally, we explore the potential for epigenetics and environmental interactions to further unravel the biological basis of language disorders.
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Affiliation(s)
- Hayley S. Mountford
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford OX3 0BP, UK; (H.S.M.); (D.F.N.)
| | - Ruth Braden
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne 3052, Australia;
| | - Dianne F. Newbury
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford OX3 0BP, UK; (H.S.M.); (D.F.N.)
| | - Angela T. Morgan
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne 3052, Australia;
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26
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An examination of the relationships between attention/deficit hyperactivity disorder symptoms and functional connectivity over time. Neuropsychopharmacology 2022; 47:704-710. [PMID: 33558680 PMCID: PMC8782893 DOI: 10.1038/s41386-021-00958-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 11/10/2020] [Accepted: 12/23/2020] [Indexed: 01/30/2023]
Abstract
Previous cross-sectional work has demonstrated resting-state connectivity abnormalities in children and adolescents with attention/deficit hyperactivity disorder (ADHD) relative to typically developing controls. However, it is unclear to what extent these neural abnormalities confer risk for later symptoms of the disorder, or represent the downstream effects of symptoms on functional connectivity. Here, we studied 167 children and adolescents (mean age at baseline = 10.74 years (SD = 2.54); mean age at follow-up = 13.3 years (SD = 2.48); 56 females) with varying levels of ADHD symptoms, all of whom underwent resting-state functional magnetic resonance imaging and ADHD symptom assessments on two occasions during development. Resting-state functional connectivity was quantified using eigenvector centrality mapping. Using voxelwise cross-lag modeling, we found that less connectivity at baseline within right inferior frontal gyrus was associated with more follow-up symptoms of inattention (significant at an uncorrected cluster-forming threshold of p ≤ 0.001 and a cluster-level familywise error corrected threshold of p < 0.05). Findings suggest that previously reported cross-sectional abnormalities in functional connectivity within inferior frontal gyrus in patients with ADHD may represent a longitudinal risk factor for the disorder, in line with efforts to target this region with novel therapeutic methods.
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27
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Park S, Chang H. Developmental Trajectory of Inattention and Its Association With Depressive Symptoms in Adolescence: Peer Relationships as a Mediator. Front Psychol 2022; 12:736840. [PMID: 35178006 PMCID: PMC8845459 DOI: 10.3389/fpsyg.2021.736840] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 12/16/2021] [Indexed: 11/21/2022] Open
Abstract
This study investigated the developmental trajectory of inattention symptoms as a predictor of later depressive symptoms in adolescence, and examined potential mediating role of peer relationships in this process. Participants were adolescents who were part of the large longitudinal panel study on Korean Youths, Korean Children & Youth Panel Survey 2010 (KCYPS 2010) of the National Youth Policy Institute (NYPI). Specifically, data were drawn from two cohorts of KCYPS that differed in participant age (Panel 1: 2003 birth cohort, n = 2,342, 48.2% girls; Panel 2: 2000 birth cohorts, n = 2,378, 40.0% girls). We analyzed data collected from 2010 to 2016 when children in panel 1 were 6-7 to 12-13 years old, and children in panel 2 were 9-10 to 15-16 years old. Results of latent growth modeling (LGM) were as follows. In Panel 1, the inattention symptoms increased from 9-10 to 12-13 years. Otherwise, the inattention symptoms decreased from 11-12 to 15-16 years in panel 2. Additionally, in both panels, initial status and slope of inattention significantly predicted later levels of depressive symptoms, and peer relationships partly mediated the association between inattention trajectory and depressive symptoms. The findings are discussed with respect to considering the growth of inattention and the quality of peer relationships as promising targets for early identification and intervention of depression in adolescents.
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Affiliation(s)
| | - Hyein Chang
- Department of Psychology, Sungkyunkwan University, Seoul, South Korea
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28
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Vos M, Rommelse NNJ, Franke B, Oosterlaan J, Heslenfeld DJ, Hoekstra PJ, Klein M, Faraone SV, Buitelaar JK, Hartman CA. Characterizing the heterogeneous course of inattention and hyperactivity-impulsivity from childhood to young adulthood. Eur Child Adolesc Psychiatry 2022; 31:1-11. [PMID: 33813662 PMCID: PMC9343304 DOI: 10.1007/s00787-021-01764-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 03/23/2021] [Indexed: 11/28/2022]
Abstract
To advance understanding of the heterogeneity in the course of ADHD, joint symptom trajectories of inattention and hyperactivity-impulsivity from childhood to young adulthood were modelled and associated with genetic, demographic, and clinical characteristics. Data were obtained from the NeuroIMAGE cohort which includes 485 individuals with ADHD, their 665 siblings, and 399 typically developing children. Trajectories were based on scores of the Conners Parent Rating Scale Revised and estimated over seven homogeneous age bins (from 5 to 28 years) using parallel process latent class growth analysis on data collected across 2-4 time points. Multilevel multinomial logistic regression was used to identify characteristics that differentiated between the derived classes. A seven-class solution revealed "severe combined stable" (4.8%), "severe combined decreasing" (13%), "severe inattentive stable" (4.8%), "moderate combined increasing" (7.5%), "moderate combined decreasing" (12.7%), "stable mild" (12.9%), and "stable low" (44.3%) classes. Polygenic risk for depression, ADHD diagnosis, ADHD medication use, IQ, comorbid symptom levels (foremost oppositional behaviour), and functional impairment levels differentiated classes with similar ADHD symptom levels in childhood but a diverging course thereafter. The course of ADHD is highly heterogeneous, with stable, decreasing, and increasing trajectories. Overall, severe symptom levels in childhood are associated with elevated-to-severe symptom levels in adolescence and young adulthood, despite substantial symptom reductions. Beyond symptom severity in childhood, genetic, demographic, and clinical characteristics distinguish the heterogeneous course.
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Affiliation(s)
- Melissa Vos
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - Nanda N. J. Rommelse
- grid.10417.330000 0004 0444 9382Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands ,grid.461871.d0000 0004 0624 8031Karakter Child and Adolescent Psychiatry University Center, Nijmegen, The Netherlands
| | - Barbara Franke
- grid.10417.330000 0004 0444 9382Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands ,grid.10417.330000 0004 0444 9382Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jaap Oosterlaan
- grid.12380.380000 0004 1754 9227Section of Clinical Neuropsychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands ,grid.16872.3a0000 0004 0435 165XDepartment of Pediatrics, Emma Children’s Hospital, Amsterdam Medical Center and Vrije Universiteit Medical Center, Amsterdam, the Netherlands
| | - Dirk J. Heslenfeld
- grid.12380.380000 0004 1754 9227Section of Clinical Neuropsychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pieter J. Hoekstra
- grid.4494.d0000 0000 9558 4598Department of Child and Adolescent Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Marieke Klein
- grid.10417.330000 0004 0444 9382Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands ,grid.7692.a0000000090126352Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Stephen V. Faraone
- grid.411023.50000 0000 9159 4457Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY USA ,grid.411023.50000 0000 9159 4457Department of Neuroscience and Physiology, State University of New York Upstate Medical University, Syracuse, NY USA ,grid.7914.b0000 0004 1936 7443Department of Biomedicine, K.G. Jebsen Center for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - Jan K. Buitelaar
- grid.461871.d0000 0004 0624 8031Karakter Child and Adolescent Psychiatry University Center, Nijmegen, The Netherlands ,grid.10417.330000 0004 0444 9382Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Catharina A. Hartman
- grid.4494.d0000 0000 9558 4598Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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29
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Bains S, Gutman LM. Mental Health in Ethnic Minority Populations in the UK: Developmental Trajectories from Early Childhood to Mid Adolescence. J Youth Adolesc 2021; 50:2151-2165. [PMID: 34436736 PMCID: PMC8505297 DOI: 10.1007/s10964-021-01481-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/12/2021] [Indexed: 11/25/2022]
Abstract
A large body of literature has demonstrated that there are developmental differences in mental health problems. However, less is known about the development of mental health problems in ethnic minority children, particularly at the population level. Using a detailed ethnic classification and nationally representative data from the UK Millennium Cohort Study (n = 18, 521, 49% female, 18% ethnic minority), this study examines ethnic differences in children's mental health problems and trajectories of mental health from ages 3 to 14 years. Growth curve modeling revealed that ethnic minority children followed different developmental trajectories of internalizing and externalizing problems than white children, either in terms of the mean-level and/or rate of change across age. These differences were not explained by child sex, socioeconomic status, maternal depressive symptoms, and maternal immigrant status, highlighting the need for further research exploring the factors that underpin ethnic inequalities in child mental health.
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Affiliation(s)
- Simran Bains
- University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
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30
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Bains S, Gutman LM. Mental Health in Ethnic Minority Populations in the UK: Developmental Trajectories from Early Childhood to Mid Adolescence. J Youth Adolesc 2021; 50:2151-2165. [PMID: 34436736 PMCID: PMC8505297 DOI: 10.1007/s10964-021-01481-5#sec18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/12/2021] [Indexed: 11/25/2023]
Abstract
A large body of literature has demonstrated that there are developmental differences in mental health problems. However, less is known about the development of mental health problems in ethnic minority children, particularly at the population level. Using a detailed ethnic classification and nationally representative data from the UK Millennium Cohort Study (n = 18, 521, 49% female, 18% ethnic minority), this study examines ethnic differences in children's mental health problems and trajectories of mental health from ages 3 to 14 years. Growth curve modeling revealed that ethnic minority children followed different developmental trajectories of internalizing and externalizing problems than white children, either in terms of the mean-level and/or rate of change across age. These differences were not explained by child sex, socioeconomic status, maternal depressive symptoms, and maternal immigrant status, highlighting the need for further research exploring the factors that underpin ethnic inequalities in child mental health.
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Affiliation(s)
- Simran Bains
- University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
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31
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Brikell I, Burton C, Mota NR, Martin J. Insights into attention-deficit/hyperactivity disorder from recent genetic studies. Psychol Med 2021; 51:2274-2286. [PMID: 33814023 DOI: 10.1017/s0033291721000982] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a common and highly heritable neurodevelopmental disorder (NDD). In this narrative review, we summarize recent advances in quantitative and molecular genetic research from the past 5-10 years. Combined with large-scale international collaboration, these advances have resulted in fast-paced progress in understanding the etiology of ADHD and how genetic risk factors map on to clinical heterogeneity. Studies are converging on a number of key insights. First, ADHD is a highly polygenic NDD with a complex genetic architecture encompassing risk variants across the spectrum of allelic frequencies, which are implicated in neurobiological processes. Second, genetic studies strongly suggest that ADHD diagnosis shares a large proportion of genetic risks with continuously distributed traits of ADHD in the population, with shared genetic risks also seen across development and sex. Third, ADHD genetic risks are shared with those implicated in many other neurodevelopmental, psychiatric and somatic phenotypes. As sample sizes and the diversity of genetic studies continue to increase through international collaborative efforts, we anticipate further success with gene discovery, characterization of how the ADHD phenotype relates to other human traits and growing potential to use genomic risk factors for understanding clinical trajectories and for precision medicine approaches.
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Affiliation(s)
- Isabell Brikell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark
| | - Christie Burton
- Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Canada
| | - Nina Roth Mota
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Joanna Martin
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
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32
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Agnew-Blais JC, Belsky DW, Caspi A, Danese A, Moffitt TE, Polanczyk GV, Sugden K, Wertz J, Williams BS, Lewis CM, Arseneault L. Polygenic Risk and the Course of Attention-Deficit/Hyperactivity Disorder From Childhood to Young Adulthood: Findings From a Nationally Representative Cohort. J Am Acad Child Adolesc Psychiatry 2021; 60:1147-1156. [PMID: 33440202 PMCID: PMC8417462 DOI: 10.1016/j.jaac.2020.12.033] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 10/01/2020] [Accepted: 12/31/2020] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To understand whether genetic risk for attention-deficit/hyperactivity disorder (ADHD) is associated with the course of the disorder across childhood and into young adulthood. METHOD Participants were from the Environmental Risk (E-Risk) Longitudinal Twin Study, a population-based birth cohort of 2,232 twins. ADHD was assessed at ages 5, 7, 10, and 12 with mother- and teacher-reports and at age 18 with self-report. Polygenic risk scores (PRSs) were created using a genome-wide association study of ADHD case status. Associations with PRS were examined at multiple points in childhood and longitudinally from early childhood to adolescence. We investigated ADHD PRS and course to young adulthood, as reflected by ADHD remission, persistence, and late onset. RESULTS Participants with higher ADHD PRSs had increased risk for meeting ADHD diagnostic criteria (odds ratios ranging from 1.17 at age 10 to 1.54 at age 12) and for elevated symptoms at ages 5, 7, 10, and 12. Higher PRS was longitudinally associated with more hyperactivity/impulsivity (incidence rate ratio = 1.18) and inattention (incidence rate ratio = 1.14) from age 5 to age 12. In young adulthood, participants with persistent ADHD exhibited the highest PRS (mean PRS = 0.37), followed by participants with remission (mean PRS = 0.21); both groups had higher PRS than controls (mean PRS = -0.03), but did not significantly differ from one another. Participants with late-onset ADHD did not show elevated PRS for ADHD, depression, alcohol dependence, or marijuana use disorder. CONCLUSION Genetic risk scores derived from case-control genome-wide association studies may have relevance not only for incidence of mental health disorders, but also for understanding the longitudinal course of mental health disorders.
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Affiliation(s)
| | | | - Avshalom Caspi
- King’s College London, United Kingdom,Duke University, Durham, North Carolina
| | - Andrea Danese
- King’s College London, United Kingdom,South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Terrie E. Moffitt
- King’s College London, United Kingdom,Duke University, Durham, North Carolina
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Predicting the course of ADHD symptoms through the integration of childhood genomic, neural, and cognitive features. Mol Psychiatry 2021; 26:4046-4054. [PMID: 33173195 PMCID: PMC8345321 DOI: 10.1038/s41380-020-00941-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 10/20/2020] [Accepted: 10/26/2020] [Indexed: 11/09/2022]
Abstract
Childhood attention deficit hyperactivity disorder (ADHD) shows a highly variable course with age: some individuals show improving, others stable or worsening symptoms. The ability to predict symptom course could help individualize treatment and guide interventions. By studying a cohort of 362 youth, we ask if polygenic risk for ADHD, combined with baseline neural and cognitive features could aid in the prediction of the course of symptoms over an average period of 4.8 years. Compared to a never-affected comparison group, we find that participants with worsening symptoms carried the highest polygenic risk for ADHD, followed by those with stable symptoms, then those whose symptoms improved. Participants with worsening symptoms also showed atypical baseline cognition. Atypical microstructure of the cingulum bundle and anterior thalamic radiation was associated with improving symptoms while reduction of thalamic volume was found in those with stable symptoms. Machine-learning algorithms, trained and tested on independent groups, performed well in classifying those never affected against groups with worsening, stable, and improving symptoms (area under the curve >0.79). We conclude that some measures of polygenic risk, cognition, and neuroimaging show significant associations with the future course of ADHD symptoms and may have modest predictive power. These features warrant further exploration as prognostic tools.
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Pingault JB, Rijsdijk F, Schoeler T, Choi SW, Selzam S, Krapohl E, O’Reilly PF, Dudbridge F. Genetic sensitivity analysis: Adjusting for genetic confounding in epidemiological associations. PLoS Genet 2021; 17:e1009590. [PMID: 34115765 PMCID: PMC8238188 DOI: 10.1371/journal.pgen.1009590] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 06/28/2021] [Accepted: 05/07/2021] [Indexed: 11/18/2022] Open
Abstract
Associations between exposures and outcomes reported in epidemiological studies are typically unadjusted for genetic confounding. We propose a two-stage approach for estimating the degree to which such observed associations can be explained by genetic confounding. First, we assess attenuation of exposure effects in regressions controlling for increasingly powerful polygenic scores. Second, we use structural equation models to estimate genetic confounding using heritability estimates derived from both SNP-based and twin-based studies. We examine associations between maternal education and three developmental outcomes - child educational achievement, Body Mass Index, and Attention Deficit Hyperactivity Disorder. Polygenic scores explain between 14.3% and 23.0% of the original associations, while analyses under SNP- and twin-based heritability scenarios indicate that observed associations could be almost entirely explained by genetic confounding. Thus, caution is needed when interpreting associations from non-genetically informed epidemiology studies. Our approach, akin to a genetically informed sensitivity analysis can be applied widely.
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Affiliation(s)
- Jean-Baptiste Pingault
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
- Social, Genetic, and Developmental Psychiatry Centre, King’s College London, London, United Kingdom
| | - Frühling Rijsdijk
- Social, Genetic, and Developmental Psychiatry Centre, King’s College London, London, United Kingdom
| | - Tabea Schoeler
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Shing Wan Choi
- Social, Genetic, and Developmental Psychiatry Centre, King’s College London, London, United Kingdom
- Department of Genetics and Genomic Sciences, Icahn School of Medicine, Mount Sinai, New York City, New York, United States of America
| | - Saskia Selzam
- Social, Genetic, and Developmental Psychiatry Centre, King’s College London, London, United Kingdom
| | - Eva Krapohl
- Social, Genetic, and Developmental Psychiatry Centre, King’s College London, London, United Kingdom
| | - Paul F. O’Reilly
- Social, Genetic, and Developmental Psychiatry Centre, King’s College London, London, United Kingdom
- Department of Genetics and Genomic Sciences, Icahn School of Medicine, Mount Sinai, New York City, New York, United States of America
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
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Gómez-Cano S, Zapata-Ospina JP, Arcos-Burgos M, Palacio-Ortiz JD. The role of psychosocial adversity in the aetiology and course of attention deficit hyperactivity disorder. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2021; 52:S0034-7450(21)00048-2. [PMID: 33849717 DOI: 10.1016/j.rcp.2021.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 02/05/2021] [Indexed: 11/23/2022]
Abstract
INTRODUCTION Attention deficit/hyperactivity disorder (ADHD) has genetic and environmental aetiological factors. There are few publications on the environmental factors. The objective of this review is to present the role of psychosocial adversity in the aetiology and course of ADHD. METHODS A search was carried out in the following databases: PubMed, ScienceDirect, SciELO, ClinicalKey, EMBASE, Lilacs, OVID, APA and PsycNET. English and Spanish were selected without being limited by type of study or year of publication. Finally, a qualitative synthesis was conducted. RESULTS ADHD development could be related to exposure to adverse factors in the family, school or social environment. It has been proposed as an explanatory mechanism that adversity interacts with genetic variants and leads to neurobiological changes. There may also be a gene-environment correlation whereby individual hereditary characteristics increase the risk of exposure to adversity, and indirectly increase the probability of developing ADHD. Research on psychosocial adversity represents a big challenge, not only due to the complexity of its construct, but also to the effect of subjective perception of a given event. CONCLUSIONS ADHD aetiology is complex and involves the interaction of both genetic and environmental factors, in which these factors correlate and cause the disorder. The study of the role of psychosocial adversity in ADHD is fundamental, but it remains a task that entails great difficulties.
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Affiliation(s)
- Sujey Gómez-Cano
- Hospital San Vicente de Paúl, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia; Grupo de Investigación en Psiquiatría (GIPSI), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Juan Pablo Zapata-Ospina
- Instituto de Investigaciones Médicas, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Mauricio Arcos-Burgos
- Hospital San Vicente de Paúl, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia; Grupo de Investigación en Psiquiatría (GIPSI), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Juan David Palacio-Ortiz
- Hospital San Vicente de Paúl, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia; Grupo de Investigación en Psiquiatría (GIPSI), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.
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Bölte S, Lawson WB, Marschik PB, Girdler S. Reconciling the seemingly irreconcilable: The WHO's ICF system integrates biological and psychosocial environmental determinants of autism and ADHD: The International Classification of Functioning (ICF) allows to model opposed biomedical and neurodiverse views of autism and ADHD within one framework. Bioessays 2021; 43:e2000254. [PMID: 33797095 DOI: 10.1002/bies.202000254] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 02/19/2021] [Accepted: 03/05/2021] [Indexed: 12/13/2022]
Abstract
Neurodevelopmental disorders (NDDs), such as autism and ADHD, are behaviorally defined adaptive functioning difficulties arising from variations, alterations and atypical maturation of the brain. While it is widely agreed that NDDs are complex conditions with their presentation and functional impact underpinned by diverse genetic and environmental factors, contemporary and polarizing debate has focused on the appropriateness of the biomedical as opposed to the neurodiverse paradigm in framing conceptions of these conditions. Despite being largely overlooked by both research and practice, the International Classification of Functioning Disability and Health (ICF) endorsed by the World Health Organization in 2001 views functioning dynamically, offering a framework for investigating, assessing and treating NDDs holistically. Exemplified by autism and ADHD, we argue that the ICF provides not only a multitude of opportunities in accounting for the environmental determinants in researching and clinically managing NDDs, but opportunities for harmonizing the seemingly irreconcilable biomedical and neurodiverse paradigms.
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Affiliation(s)
- Sven Bölte
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Region Stockholm, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden.,Child and Adolescent Psychiatry, Region Stockholm, Stockholm Health Care Services, Stockholm, Sweden.,Curtin Autism Research Group, Curtin School of Allied Health, Curtin University, Perth, Australia
| | - Wenn B Lawson
- Curtin Autism Research Group, Curtin School of Allied Health, Curtin University, Perth, Australia
| | - Peter B Marschik
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Region Stockholm, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden.,Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany.,iDN - interdisciplinary Developmental Neuroscience, Department of Phoniatrics, Medical University of Graz, Graz, Austria
| | - Sonya Girdler
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Region Stockholm, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden.,Curtin Autism Research Group, Curtin School of Allied Health, Curtin University, Perth, Australia.,School of Allied Health, University of Western Australia, Perth, Australia
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Takahashi Y, Pease CR, Pingault J, Viding E. Genetic and environmental influences on the developmental trajectory of callous-unemotional traits from childhood to adolescence. J Child Psychol Psychiatry 2021; 62:414-423. [PMID: 32418200 PMCID: PMC8432158 DOI: 10.1111/jcpp.13259] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/09/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND This study examined the genetic and environmental influences underlying baseline level and developmental course of callous-unemotional (CU) traits across childhood and adolescence. METHODS The data on 8,958 twin pairs (3,108 MZ twin pairs and 5,850 DZ twin pairs) from the Twins Early Development Study were analysed. CU traits were assessed at ages 7, 9, 12 and 16 by mothers and analysed using a biometric latent growth model. RESULTS Individual differences in the baseline level of CU traits were highly heritable (76.5%), while the heritability of the developmental course of CU traits was moderate (43.6%). The genetic influences on baseline level and developmental course of CU traits were mostly nonoverlapping. Nonshared environment made a modest contribution to the baseline level of CU traits (21.7%). Nonshared environmental influences on the developmental course of CU traits were moderate (43.2%), with nearly half of them being the same as those influencing the baseline level and just over half being specific. Shared environmental effects did not contribute to systematic change across childhood and adolescence but were rather age-specific. CONCLUSIONS Our findings demonstrate that rather than only being conceptualized as factors of stability, genes also play a dynamic role in explaining systematic change in CU traits. Genetic effects for the initial risk and subsequent development of CU traits are not the same. In addition to genetic factors, nonshared environmental influences play an important role in explaining why some children will increase or maintain their CU traits over time, whereas other will desist. New genetic and environmental influences with age suggest that repeated, age-tailored interventions may be required throughout development to make a lasting difference in the presentation of CU traits and associated outcomes.
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Affiliation(s)
- Yusuke Takahashi
- The Hakubi Center for Advanced Research, and Division of Cognitive Psychology in EducationGraduate School of EducationKyoto UniversityKyotoJapan,Department of Clinical, Educational and Health PsychologyDivision of Psychology and Language SciencesUniversity College LondonLondonUK
| | - Christopher R. Pease
- Department of Clinical, Educational and Health PsychologyDivision of Psychology and Language SciencesUniversity College LondonLondonUK
| | - Jean‐Baptiste Pingault
- Department of Clinical, Educational and Health PsychologyDivision of Psychology and Language SciencesUniversity College LondonLondonUK,Social, Genetic and Developmental Psychiatry CentreKing's College LondonLondonUK
| | - Essi Viding
- Department of Clinical, Educational and Health PsychologyDivision of Psychology and Language SciencesUniversity College LondonLondonUK,Social, Genetic and Developmental Psychiatry CentreKing's College LondonLondonUK
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Sudre G, Bouyssi-Kobar M, Norman L, Sharp W, Choudhury S, Shaw P. Estimating the Heritability of Developmental Change in Neural Connectivity, and Its Association With Changing Symptoms of Attention-Deficit/Hyperactivity Disorder. Biol Psychiatry 2021; 89:443-450. [PMID: 32800380 PMCID: PMC7736233 DOI: 10.1016/j.biopsych.2020.06.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 06/03/2020] [Accepted: 06/03/2020] [Indexed: 01/02/2023]
Abstract
BACKGROUND Twin studies show that age-related change in symptoms of attention-deficit/hyperactivity disorder (ADHD) is heritable. However, we do not know the heritability of the development of the neural substrates underlying the disorder. Here, we estimated the heritability of developmental change in white matter tracts and the brain's intrinsic functional connectivity using longitudinal data. We further determined associations with change in ADHD symptoms. METHODS The study reports on 288 children, which included 127 siblings, 19 cousins, and 142 singletons; 150 (52%) had a diagnosis of ADHD (determined by clinician interview with parent); 188 were male. All had two clinical assessments (overall baseline mean age: 9.4 ± 2.4 years; follow-up: 12.5 ± 2.6 years). Diffusion tensor imaging estimated microstructural properties of white matter tracts on 252 participants. Resting-state functional magnetic resonance imaging estimated intrinsic connectivity within and between major brain networks on 226 participants. Total additive genetic heritability (h2) of the annual rate of change in these neural phenotypes was calculated using SOLAR (Sequential Oligogenic Linkage Analysis Routines). RESULTS Significant heritability was found for the rates of change of 6 white matter tract microstructural properties and for change in the connectivity between the ventral attention network and both the cognitive control and dorsal attention networks. Change in hyperactivity-impulsivity was associated with heritable change in white matter tracts metrics and change in the connectivity between the ventral attention and cognitive networks. CONCLUSIONS The relatively small number of heritable, ADHD-associated developmental neural phenotypes can serve as phenotypes for future gene discovery and understanding.
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Affiliation(s)
- Gustavo Sudre
- Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health
| | - Marine Bouyssi-Kobar
- Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health
| | - Luke Norman
- Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health
| | - Wendy Sharp
- National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Saadia Choudhury
- Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health
| | - Philip Shaw
- Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland.
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Lemelin M, Sheehy O, Zhao JP, Bérard A. Maternal ADHD medication use during pregnancy and the risk of ADHD in children: Importance of genetic predispositions and impact of using a sibling analysis. Eur Neuropsychopharmacol 2021; 44:66-78. [PMID: 33461830 DOI: 10.1016/j.euroneuro.2021.01.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 11/18/2020] [Accepted: 01/04/2021] [Indexed: 12/28/2022]
Abstract
Attention deficit with hyperactivity disorder (ADHD) medications in pregnancy would be associated with ADHD in children, however, estimates can be confounded by genetic predispositions and environmental factors related to the mother-child pair. We aim to quantify the risk of ADHD in children associated with ADHD medication exposures during pregnancy. A prospective cohort study and sibling analysis conducted within The Quebec Pregnancy/Child Cohort (QPC). All full-term singleton live births covered by the provincial prescription drug insurance in Quebec from 1998 to 2015 were included. ADHD medication exposure during pregnancy was defined according to trimester of use and class-specific medication. ADHD in children was defined as having at least one diagnosis or one prescription filled for an ADHD medication. Cox proportional hazards regression models were used to calculate crude and adjusted hazard ratios (aHR) with 95% confidence intervals (CIs) in the overall cohort, the sub-cohort and the sibling analysis. Of 166,047 full-term singleton live births included, 25,454 (15.3%) had ADHD. In the overall cohort, maternal exposure to ADHD medication during pregnancy was associated with ADHD in children (aHR= 1.96, 95% CI 1.22-3.15). In the ADHD pregnant women sub-cohort (aHR= 1.56; 95% CI 0.93-2.62) and the sibling control analysis (aHR= 1.14; 95% CI 0.62-1.98), ADHD medications during pregnancy was not associated with an increased risk of ADHD in children. Our findings suggest that in utero exposure to ADHD medications was not associated with an increased risk of ADHD in children. This suggests that the association is due to genetic and/or family environmental factors.
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Affiliation(s)
- Maxim Lemelin
- Faculty of Pharmacy, University of Montreal, Montréal, Québec, Canada; Research Center, CHU Sainte-Justine, Montréal, Québec, Canada
| | - Odile Sheehy
- Research Center, CHU Sainte-Justine, Montréal, Québec, Canada
| | - Jin-Ping Zhao
- Research Center, CHU Sainte-Justine, Montréal, Québec, Canada
| | - Anick Bérard
- Faculty of Pharmacy, University of Montreal, Montréal, Québec, Canada; Research Center, CHU Sainte-Justine, Montréal, Québec, Canada.
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Sharp W, Mangalmurti A, Hall C, Choudhury S, Shaw P. Associations between neighborhood, family factors and symptom change in childhood attention deficit hyperactivity disorder. Soc Sci Med 2021; 271:112203. [PMID: 30857751 PMCID: PMC6748875 DOI: 10.1016/j.socscimed.2019.02.054] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 01/28/2019] [Accepted: 02/27/2019] [Indexed: 11/27/2022]
Abstract
Transactional theories view development as partly shaped by processes proximal to a child, which in turn interact with more distal neighborhood and societal contexts. Here we apply this theory to parse the interplay between neighborhood and familial factors on age-related change in symptoms of inattention and hyperactivity-impulsivity (ADHD). A cohort of 190 children (96 with ADHD) had a range of neighborhood and familial factors ascertained and had repeated clinical assessments over an average of 2.5 years at a U.S. research center. Using mixed model regression, we found an association between neighborhood wealth, but not the built environment, and the annual rate of change of inattentive but not hyperactive-impulsive symptoms. Following the transactional model, we asked if familial processes explain (mediate), modify (moderate), or act alongside this effect of neighborhood wealth on the change in a child's symptoms of inattention with age. We found evidence for moderation. Specifically, several family level variables - parental economic/education status and degree of family conflict and order moderated the effects of neighborhood wealth on the change in a child's inattentive symptoms. Children living in relatively affluent neighborhoods showed improvement with age in inattention, largely independent of variation in a wide range of familial factors. By contrast, children living in less affluent neighborhoods showed clinical deterioration only if the family had high levels of conflict or if the parents were of lower economic/educational status. Such work might help identify children whose familial and neighborhood contexts place them at risk of having ADHD symptoms persist or increase with age.
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Affiliation(s)
- Wendy Sharp
- Office of the Clinical Director, National Institute of Mental Health, Bethesda, MD, 20892, USA.
| | - Aman Mangalmurti
- Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, Bldg 31 B137, Bethesda, 20892, USA
| | - Carlisha Hall
- Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, Bldg 31 B137, Bethesda, 20892, USA
| | - Saadia Choudhury
- Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, Bldg 31 B137, Bethesda, 20892, USA
| | - Philip Shaw
- Office of the Clinical Director, National Institute of Mental Health, Bethesda, MD, 20892, USA; Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, Bldg 31 B137, Bethesda, 20892, USA
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Increased novelty-induced locomotion, sensitivity to amphetamine, and extracellular dopamine in striatum of Zdhhc15-deficient mice. Transl Psychiatry 2021; 11:65. [PMID: 33462194 PMCID: PMC7813841 DOI: 10.1038/s41398-020-01194-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 10/12/2020] [Accepted: 10/27/2020] [Indexed: 12/02/2022] Open
Abstract
Novelty-seeking behaviors and impulsivity are personality traits associated with several psychiatric illnesses including attention deficits hyperactivity disorders. The underlying neural mechanisms remain poorly understood. We produced and characterized a line of knockout mice for zdhhc15, which encodes a neural palmitoyltransferase. Genetic defects of zdhhc15 were implicated in intellectual disability and behavioral anomalies in humans. Zdhhc15-KO mice showed normal spatial learning and working memory but exhibited a significant increase in novelty-induced locomotion in open field. Striatal dopamine content was reduced but extracellular dopamine levels were increased during the habituation phase to a novel environment. Administration of amphetamine and methylphenidate resulted in a significant increase in locomotion and extracellular dopamine levels in the ventral striatum of mutant mice compared to controls. Number and projections of dopaminergic neurons in the nigrostriatal and mesolimbic pathways were normal. No significant change in the basal palmitoylation of known ZDHHC15 substrates including DAT was detected in striatum of zdhhc15 KO mice using an acyl-biotin exchange assay. These results support that a transient, reversible, and novelty-induced elevation of extracellular dopamine in ventral striatum contributes to novelty-seeking behaviors in rodents and implicate ZDHHC15-mediated palmitoylation as a novel regulatory mechanism of dopamine in the striatum.
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Shaw P, Sudre G. Adolescent Attention-Deficit/Hyperactivity Disorder: Understanding Teenage Symptom Trajectories. Biol Psychiatry 2021; 89:152-161. [PMID: 32753233 PMCID: PMC7736482 DOI: 10.1016/j.biopsych.2020.06.004] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 06/03/2020] [Accepted: 06/03/2020] [Indexed: 12/14/2022]
Abstract
Symptoms of attention-deficit/hyperactivity disorder (ADHD) run a variable course through adolescence. While most affected individuals show some improvement, particularly of hyperactivity-impulsivity, symptoms of inattention are more persistent, and some individuals may meet diagnostic criteria for the first time during adolescence. Genetic factors affect adolescent symptom trajectories; those showing persistence likely carry a greater burden of common risk alleles. Rare structural genomic variants, such as copy number variants and point mutations, might also play a role. Although psychostimulant medication is associated with better functional outcomes, an impact on underlying adolescent symptom trajectories has been hard to demonstrate. At a neural level, several studies report that adolescents whose childhood ADHD symptoms have remitted are indistinguishable from neurotypical individuals. This finding could reflect the "carrying forward" of relatively typical childhood neural features among those destined for adolescent remission or the correction of early childhood anomalies with a convergence toward typical dimensions. Other studies have noted unique, possibly compensatory patterns of neural activity among adolescents whose ADHD has improved. Finally, different neural processes might occur in different brain regions. Thus, some functional imaging studies find that subcortical anomalies reflect the onset of ADHD and remain throughout life regardless of symptom change, whereas the variable clinical course of adolescent ADHD is determined by plasticity of the cerebral cortex. Integrating an understanding of the neural processes with genomic risk could elucidate the mechanisms underlying the complex course of adolescent ADHD.
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Affiliation(s)
- Philip Shaw
- Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland.
| | - Gustavo Sudre
- Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
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Abstract
OCD most often arises before adulthood with adolescence being a particularly vulnerable period. This is also a time when both brain and cognition undergo fundamental developmental change and reorganisation. However, the neurocognitive mechanisms that drive the emergence of OCD during development are still largely unknown. In this chapter, I review the relatively sparse literature on the developmental aspects of OCD and I discuss the symptomatic, cognitive and neural patterns in OCD and the developing mind. I highlight how we need to understand the emergence of cognitive impairments and neural alteration in a developmental context if we want to understand more about the mechanisms that give rise to OCD. Moreover, I outline how we best approach this challenge to overcome the current limitations in research.
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Affiliation(s)
- T U Hauser
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK. .,Wellcome Centre for Human Neuroimaging, University College London, London, UK.
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The association between ADHD and physical health: a co-twin control study. Sci Rep 2020; 10:22388. [PMID: 33372183 PMCID: PMC7769983 DOI: 10.1038/s41598-020-78627-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 11/27/2020] [Indexed: 12/14/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) has been associated with increased risk for physical comorbidity. This study used a twin cohort to investigate the association between physical diseases and phenotypic variations of ADHD. A twin cohort enriched for ADHD and other neurodevelopmental conditions were analysed. The Attention Problems subscale of the Child Behavior Checklist/Adult Behavior Checklist (CBCL/ABCL-AP) was used to measure the participants’ severity of ADHD symptoms. Physical health issues were obtained with a validated questionnaire and were tested in relation to ADHD symptom severity in a co-twin control model. Neurological problems were significantly associated with a diagnosis of ADHD. A conditional model for the analysis of within-twin pair effects revealed an inverse association between digestive problems and the severity of ADHD symptoms, after adjusting for co-existing autism spectrum disorder and ADHD medications. Our findings suggest that individuals with ADHD are susceptible to neurological problems, why a thorough neurological check-up is indicated in clinical practice for this population. In addition, health conditions of digestive system could be considered as a non-shared environmental factor for behavioral phenotypes in ADHD. It supports the possible role of gut-brain axis in the underpinnings of ADHD symptoms, at least for a subgroup of individuals with certain genetic predisposition.
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45
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Imamura A, Morimoto Y, Ono S, Kurotaki N, Kanegae S, Yamamoto N, Kinoshita H, Tsujita T, Okazaki Y, Ozawa H. Genetic and environmental factors of schizophrenia and autism spectrum disorder: insights from twin studies. J Neural Transm (Vienna) 2020; 127:1501-1515. [PMID: 32285255 PMCID: PMC7578126 DOI: 10.1007/s00702-020-02188-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 04/05/2020] [Indexed: 02/06/2023]
Abstract
Twin studies of psychiatric disorders such as schizophrenia and autism spectrum disorder have employed epidemiological approaches that determine heritability by comparing the concordance rate between monozygotic twins (MZs) and dizygotic twins. The basis for these studies is that MZs share 100% of their genetic information. Recently, biological studies based on molecular methods are now being increasingly applied to examine the differences between MZs discordance for psychiatric disorders to unravel their possible causes. Although recent advances in next-generation sequencing have increased the accuracy of this line of research, there has been greater emphasis placed on epigenetic changes versus DNA sequence changes as the probable cause of discordant psychiatric disorders in MZs. Since the epigenetic status differs in each tissue type, in addition to the DNA from the peripheral blood, studies using DNA from nerve cells induced from postmortem brains or induced pluripotent stem cells are being carried out. Although it was originally thought that epigenetic changes occurred as a result of environmental factors, and thus were not transmittable, it is now known that such changes might possibly be transmitted between generations. Therefore, the potential possible effects of intestinal flora inside the body are currently being investigated as a cause of discordance in MZs. As a result, twin studies of psychiatric disorders are greatly contributing to the elucidation of genetic and environmental factors in the etiology of psychiatric conditions.
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Affiliation(s)
- Akira Imamura
- Child and Adolescent Psychiatry Community Partnership Unit, Nagasaki University Hospital, Nagasaki, Japan.
| | - Yoshiro Morimoto
- Unit of Translation Medicine, Department of Neuropsychiatry, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
- Department of Human Genetics, Atomic Bomb Disease Institute, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Shinji Ono
- Department of Human Genetics, Atomic Bomb Disease Institute, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Naohiro Kurotaki
- Department of Clinical Psychiatry, Graduate School of Medicine, Kagawa University, Kita-gun, Japan
| | - Shinji Kanegae
- Child and Adolescent Psychiatry Community Partnership Unit, Nagasaki University Hospital, Nagasaki, Japan
| | - Naoki Yamamoto
- Child and Adolescent Psychiatry Community Partnership Unit, Nagasaki University Hospital, Nagasaki, Japan
- Unit of Translation Medicine, Department of Neuropsychiatry, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Hirohisa Kinoshita
- Unit of Translation Medicine, Department of Neuropsychiatry, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | | | - Yuji Okazaki
- Koseikai Michinoo Hospital, Nagasaki, Japan
- Tokyo Metropolitan Matsuzawa Hospital, Tokyo, Japan
| | - Hiroki Ozawa
- Child and Adolescent Psychiatry Community Partnership Unit, Nagasaki University Hospital, Nagasaki, Japan
- Unit of Translation Medicine, Department of Neuropsychiatry, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
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46
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Oerbeck B, Overgaard KR, Pripp AH, Reichborn-Kjennerud T, Aase H, Zeiner P. Early Predictors of ADHD: Evidence from a Prospective Birth Cohort. J Atten Disord 2020; 24:1685-1692. [PMID: 29254401 DOI: 10.1177/1087054717696765] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Objective: To identify preschool predictors of registered ADHD diagnoses and compare two ADHD rating scales, Child Behavior Checklist (CBCL) and Conners' Parent Rating Scale (CPRS-R:S). Method: The Norwegian Mother and Child Cohort study (MoBa) is a prospective population-based cohort study. The sample were singletons whose mothers responded to MoBa questionnaires at child age 3 years (n = 57,986) and 5 years (n = 32,377). ADHD diagnoses were obtained from the Norwegian Patient Register. Predictors were child gender, development and symptoms, and maternal ADHD symptoms. We used Cox proportional hazard regression analyses. Results: In all final models, ADHD symptoms at age 3 and 5 years predicted later ADHD: Age 3, CBCL: hazard ratio (HR) = 3.23 (CI [2.59, 4.02]); age 5, CBCL: HR = 10.30 (CI [7.44, 14.26]); and age 5 CPRS-R:S: HR = 5.92 (CI [4.95, 7.07]). Conclusion: The findings underline the importance of taking early parent-reported symptoms seriously. Both rating scales were useful for predicting ADHD.
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Affiliation(s)
| | | | | | | | - Heidi Aase
- Norwegian Institute of Public Health, Oslo, Norway
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47
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Park JH, Son YD, Kim Y, Han DH. Brain Network Connectivity and Association with Catechol-O-Methyltransferase Gene Polymorphism in Korean Attention-Deficit Hyperactivity Disorder Children. Psychiatry Investig 2020; 17:925-933. [PMID: 32894926 PMCID: PMC7538244 DOI: 10.30773/pi.2020.0132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 07/06/2020] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE We sought to determine if the links between and within the default mode network (DMN) and dorsal attention network (DAT) exhibited different conditions according to catechol-O-methyltransferase (COMT) gene polymorphism in relationship to attention-deficit hyperactivity disorder (ADHD) symptoms. METHODS Fifty-seven children with ADHD and 48 healthy controls (HCs) were administered an intelligence test, the Children's Depression Inventory, the Korean ADHD rating scale, and continuous performance test. Resting-state brain functional MRI scans were obtained, and COMT genotyping was performed to distinguish valine carriers and methionine homozygotes. RESULTS Compared to controls, children with ADHD showed increased ADHD scale scores, increased visual commission errors, and increased functional connectivity (FC) within the DMN and DAT. Compared to all children with ADHD, children with the methionine homozygote and those who were valine carriers showed increased FC within the DMN and DAT and decreased FC between the DMN and DAT. FC within the DMN was also increased in HC valine carriers compared to HC children with the methionine homozygote, and in children with ADHD who were valine carriers compared to HC valine carriers. CONCLUSION We observed increased brain connectivity within the DMN and DAT and altered brain connectivity within and between the DMN and DAT associated with COMT polymorphism in children with ADHD.
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Affiliation(s)
- Jeong Ha Park
- Department of Psychiatry, Woorisoa Children's Hospital, Seoul, Republic of Korea
| | - Young Don Son
- Department of Health Sciences & Technology, Gachon University, Incheon, Republic of Korea
| | - Yeni Kim
- Department of Child and Adolescent Psychiatry, National Center for Mental Health, Seoul, Republic of Korea
| | - Doug Hyun Han
- Department of Psychiatry, Chung-Ang University Hospital, Seoul, Republic of Korea
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48
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Rovira P, Demontis D, Sánchez-Mora C, Zayats T, Klein M, Mota NR, Weber H, Garcia-Martínez I, Pagerols M, Vilar-Ribó L, Arribas L, Richarte V, Corrales M, Fadeuilhe C, Bosch R, Martin GE, Almos P, Doyle AE, Grevet EH, Grimm O, Halmøy A, Hoogman M, Hutz M, Jacob CP, Kittel-Schneider S, Knappskog PM, Lundervold AJ, Rivero O, Rovaris DL, Salatino-Oliveira A, da Silva BS, Svirin E, Sprooten E, Strekalova T, Arias-Vasquez A, Sonuga-Barke EJS, Asherson P, Bau CHD, Buitelaar JK, Cormand B, Faraone SV, Haavik J, Johansson SE, Kuntsi J, Larsson H, Lesch KP, Reif A, Rohde LA, Casas M, Børglum AD, Franke B, Ramos-Quiroga JA, Soler Artigas M, Ribasés M. Shared genetic background between children and adults with attention deficit/hyperactivity disorder. Neuropsychopharmacology 2020; 45:1617-1626. [PMID: 32279069 PMCID: PMC7419307 DOI: 10.1038/s41386-020-0664-5] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 02/25/2020] [Accepted: 03/03/2020] [Indexed: 12/14/2022]
Abstract
Attention deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder characterized by age-inappropriate symptoms of inattention, impulsivity, and hyperactivity that persist into adulthood in the majority of the diagnosed children. Despite several risk factors during childhood predicting the persistence of ADHD symptoms into adulthood, the genetic architecture underlying the trajectory of ADHD over time is still unclear. We set out to study the contribution of common genetic variants to the risk for ADHD across the lifespan by conducting meta-analyses of genome-wide association studies on persistent ADHD in adults and ADHD in childhood separately and jointly, and by comparing the genetic background between them in a total sample of 17,149 cases and 32,411 controls. Our results show nine new independent loci and support a shared contribution of common genetic variants to ADHD in children and adults. No subgroup heterogeneity was observed among children, while this group consists of future remitting and persistent individuals. We report similar patterns of genetic correlation of ADHD with other ADHD-related datasets and different traits and disorders among adults, children, and when combining both groups. These findings confirm that persistent ADHD in adults is a neurodevelopmental disorder and extend the existing hypothesis of a shared genetic architecture underlying ADHD and different traits to a lifespan perspective.
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Affiliation(s)
- Paula Rovira
- grid.7080.f0000 0001 2296 0625Psychiatric Genetics Unit, Group of Psychiatry, Mental Health, and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain ,grid.411083.f0000 0001 0675 8654Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia Spain
| | - Ditte Demontis
- grid.7048.b0000 0001 1956 2722Department of Biomedicine (Human Genetics), and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark ,grid.452548.a0000 0000 9817 5300The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark ,Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Cristina Sánchez-Mora
- grid.7080.f0000 0001 2296 0625Psychiatric Genetics Unit, Group of Psychiatry, Mental Health, and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain ,grid.411083.f0000 0001 0675 8654Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia Spain ,grid.413448.e0000 0000 9314 1427Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain ,grid.5841.80000 0004 1937 0247Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - Tetyana Zayats
- grid.7914.b0000 0004 1936 7443Department of Biomedicine, University of Bergen, Bergen, Norway ,grid.32224.350000 0004 0386 9924Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, and Harvard Medical School, Boston, MA USA ,grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT, and Harvard, Cambridge, MA USA
| | - Marieke Klein
- grid.10417.330000 0004 0444 9382Department of Human Genetics, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands ,grid.7692.a0000000090126352University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, The Netherlands
| | - Nina Roth Mota
- grid.10417.330000 0004 0444 9382Department of Human Genetics, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands ,grid.414449.80000 0001 0125 3761ADHD Outpatient Program, Adult Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil ,grid.10417.330000 0004 0444 9382Department of Psychiatry, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Heike Weber
- grid.8379.50000 0001 1958 8658Department of Psychiatry, Psychosomatics, and Psychotherapy, University of Würzburg, Würzburg, Germany ,grid.411088.40000 0004 0578 8220Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Iris Garcia-Martínez
- grid.7080.f0000 0001 2296 0625Psychiatric Genetics Unit, Group of Psychiatry, Mental Health, and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain ,grid.411083.f0000 0001 0675 8654Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia Spain ,grid.438280.5Banc de Sang i Teixits (BST), Barcelona, Spain ,grid.7080.f0000 0001 2296 0625Grup de Medicina Transfusional, Vall d’Hebron Institut de Recerca, Universitat Autònoma de Barcelona (VHIR-UAB), Barcelona, Spain
| | - Mireia Pagerols
- grid.7080.f0000 0001 2296 0625Psychiatric Genetics Unit, Group of Psychiatry, Mental Health, and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain ,grid.411083.f0000 0001 0675 8654Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia Spain
| | - Laura Vilar-Ribó
- grid.7080.f0000 0001 2296 0625Psychiatric Genetics Unit, Group of Psychiatry, Mental Health, and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain ,grid.411083.f0000 0001 0675 8654Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia Spain
| | - Lorena Arribas
- grid.7080.f0000 0001 2296 0625Psychiatric Genetics Unit, Group of Psychiatry, Mental Health, and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain ,grid.411083.f0000 0001 0675 8654Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia Spain
| | - Vanesa Richarte
- grid.411083.f0000 0001 0675 8654Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia Spain ,grid.413448.e0000 0000 9314 1427Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain ,grid.7080.f0000 0001 2296 0625Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain
| | - Montserrat Corrales
- grid.411083.f0000 0001 0675 8654Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia Spain ,grid.413448.e0000 0000 9314 1427Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain ,grid.7080.f0000 0001 2296 0625Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain
| | - Christian Fadeuilhe
- grid.411083.f0000 0001 0675 8654Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia Spain ,grid.413448.e0000 0000 9314 1427Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain ,grid.7080.f0000 0001 2296 0625Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain
| | - Rosa Bosch
- grid.411083.f0000 0001 0675 8654Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia Spain ,grid.413448.e0000 0000 9314 1427Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain ,grid.7080.f0000 0001 2296 0625Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain
| | - Gemma Español Martin
- grid.411083.f0000 0001 0675 8654Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia Spain ,grid.7080.f0000 0001 2296 0625Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain ,grid.430994.30000 0004 1763 0287Group of Psychiatry, Mental Health, and Addiction, Vall d’Hebron Research Institute (VHIR), Barcelona, Catalonia Spain
| | - Peter Almos
- grid.8379.50000 0001 1958 8658Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Alysa E. Doyle
- grid.32224.350000 0004 0386 9924Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Psychiatry, Harvard Medical School, Boston, MA USA
| | - Eugenio Horacio Grevet
- grid.414449.80000 0001 0125 3761ADHD Outpatient Program, Adult Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil ,grid.8532.c0000 0001 2200 7498Department of Psychiatry, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Oliver Grimm
- grid.411088.40000 0004 0578 8220Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Anne Halmøy
- grid.7914.b0000 0004 1936 7443Department of Biomedicine, University of Bergen, Bergen, Norway ,grid.412008.f0000 0000 9753 1393Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Martine Hoogman
- grid.10417.330000 0004 0444 9382Department of Human Genetics, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mara Hutz
- grid.8532.c0000 0001 2200 7498Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Christian P. Jacob
- grid.8379.50000 0001 1958 8658Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Sarah Kittel-Schneider
- grid.411088.40000 0004 0578 8220Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Per M. Knappskog
- grid.412008.f0000 0000 9753 1393Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway ,grid.7914.b0000 0004 1936 7443Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Astri J. Lundervold
- grid.7914.b0000 0004 1936 7443Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Olga Rivero
- grid.8379.50000 0001 1958 8658Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Diego Luiz Rovaris
- grid.414449.80000 0001 0125 3761ADHD Outpatient Program, Adult Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil ,grid.8532.c0000 0001 2200 7498Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil ,grid.11899.380000 0004 1937 0722Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Angelica Salatino-Oliveira
- grid.8532.c0000 0001 2200 7498Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Bruna Santos da Silva
- grid.414449.80000 0001 0125 3761ADHD Outpatient Program, Adult Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil ,grid.8532.c0000 0001 2200 7498Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Evgeniy Svirin
- grid.8379.50000 0001 1958 8658Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany ,grid.448878.f0000 0001 2288 8774Laboratory of Psychiatric Neurobiology, Institute of Molecular Medicine, IM Sechenov First Moscow State Medical University, Moscow, Russia
| | - Emma Sprooten
- grid.10417.330000 0004 0444 9382Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Tatyana Strekalova
- grid.8379.50000 0001 1958 8658Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany ,grid.448878.f0000 0001 2288 8774Laboratory of Psychiatric Neurobiology, Institute of Molecular Medicine, IM Sechenov First Moscow State Medical University, Moscow, Russia ,grid.5012.60000 0001 0481 6099Department of Neuroscience, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands
| | | | | | - Alejandro Arias-Vasquez
- grid.10417.330000 0004 0444 9382Department of Human Genetics, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands ,grid.10417.330000 0004 0444 9382Department of Psychiatry, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Edmund J. S. Sonuga-Barke
- grid.13097.3c0000 0001 2322 6764Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, UK ,grid.7048.b0000 0001 1956 2722Department of Child and Adolescent Psychiatry, Aarhus University, Aarhus, Denmark
| | - Philip Asherson
- grid.13097.3c0000 0001 2322 6764Social Genetic and Developmental Psychiatry, Institute of Psychiatry Psychology and Neuroscience, King’s College London, London, UK
| | - Claiton Henrique Dotto Bau
- grid.414449.80000 0001 0125 3761ADHD Outpatient Program, Adult Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil ,grid.8532.c0000 0001 2200 7498Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Jan K. Buitelaar
- grid.10417.330000 0004 0444 9382Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands ,grid.461871.d0000 0004 0624 8031Karakter Child and Adolescent Psychiatry, Nijmegen, The Netherlands
| | - Bru Cormand
- grid.5841.80000 0004 1937 0247Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain ,grid.5841.80000 0004 1937 0247Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia Spain ,grid.452372.50000 0004 1791 1185Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, Spain ,grid.411160.30000 0001 0663 8628Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Catalonia Spain
| | - Stephen V. Faraone
- grid.411023.50000 0000 9159 4457Departments of Psychiatry, of Neuroscience, and Physiology, SUNY Upstate Medical University, Syracuse, NY USA
| | - Jan Haavik
- grid.7914.b0000 0004 1936 7443Department of Biomedicine, University of Bergen, Bergen, Norway ,grid.412008.f0000 0000 9753 1393Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Stefan E. Johansson
- grid.412008.f0000 0000 9753 1393Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway ,grid.7914.b0000 0004 1936 7443Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Jonna Kuntsi
- grid.13097.3c0000 0001 2322 6764Social Genetic and Developmental Psychiatry, Institute of Psychiatry Psychology and Neuroscience, King’s College London, London, UK
| | - Henrik Larsson
- grid.15895.300000 0001 0738 8966School of medical Sciences, Örebro University, Örebro, Sweden ,grid.4714.60000 0004 1937 0626Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Klaus-Peter Lesch
- grid.8379.50000 0001 1958 8658Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany ,grid.448878.f0000 0001 2288 8774Laboratory of Psychiatric Neurobiology, Institute of Molecular Medicine, IM Sechenov First Moscow State Medical University, Moscow, Russia ,grid.5012.60000 0001 0481 6099Department of Neuroscience, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands
| | - Andreas Reif
- grid.411088.40000 0004 0578 8220Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Luis Augusto Rohde
- grid.8532.c0000 0001 2200 7498Division of Child Psychiatry, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Miquel Casas
- grid.7080.f0000 0001 2296 0625Psychiatric Genetics Unit, Group of Psychiatry, Mental Health, and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain ,grid.411083.f0000 0001 0675 8654Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia Spain ,grid.413448.e0000 0000 9314 1427Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain ,grid.7080.f0000 0001 2296 0625Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain
| | - Anders D. Børglum
- grid.7048.b0000 0001 1956 2722Department of Biomedicine (Human Genetics), and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark ,grid.452548.a0000 0000 9817 5300The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark ,Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Barbara Franke
- grid.10417.330000 0004 0444 9382Department of Human Genetics, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands ,grid.10417.330000 0004 0444 9382Department of Psychiatry, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Josep Antoni Ramos-Quiroga
- grid.7080.f0000 0001 2296 0625Psychiatric Genetics Unit, Group of Psychiatry, Mental Health, and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain ,grid.411083.f0000 0001 0675 8654Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia Spain ,grid.413448.e0000 0000 9314 1427Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain ,grid.7080.f0000 0001 2296 0625Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia Spain
| | - María Soler Artigas
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health, and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain. .,Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain. .,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain. .,Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.
| | - Marta Ribasés
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health, and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain. .,Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain. .,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain. .,Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.
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Brinksma DM, Dietrich A, de Bildt A, Buitelaar JK, van den Hoofdakker BJ, Hoekstra PJ, Hartman CA. ADHD symptoms across adolescence: the role of the family and school climate and the DRD4 and 5-HTTLPR genotype. Eur Child Adolesc Psychiatry 2020; 29:1049-1061. [PMID: 31628528 PMCID: PMC7369263 DOI: 10.1007/s00787-019-01424-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Accepted: 10/12/2019] [Indexed: 12/30/2022]
Abstract
We examined bidirectional relations between attention-deficit/hyperactivity disorder (ADHD) symptoms and family and school climate, and the possible role of DRD4 and/or 5-HTTLPR genotypes herein. Three-wave longitudinal data of 1860 adolescents (mean ages 11, 13.5, and 16 years) from the general population and clinic-referred cohort of TRacking Adolescents' Individual Lives Survey were used. Using a multigroup Random Intercept Cross-Lagged Panel Model, we tested between-person (i.e., stable trait levels) and within-person (i.e., causal processes) associations across ADHD symptoms, family and school climate, and the extent to which these depended on genotype. Findings indicated no influence of genotype. Results did show significant between-person differences (ADHD symptoms with family climate r = .38; and school climate r = .23, p values < .001), indicating that higher stable levels of ADHD symptoms were associated with a less favorable family and school climate. Regarding within-person causal processes, ADHD symptoms predicted a less favorable family climate in early adolescence (β = .16, p < .01), while ADHD symptoms predicted a more favorable family climate in the later phase of adolescence (β = - .11, p < .01), a finding which we explain by normative developmental changes during adolescence. Overall, this study showed that negative associations between ADHD symptoms and both family and school climate are largely explained by stable between-person differences. We recommend applying the Random Intercept Cross-Lagged Path Model to developmental data to tease stable associations and change processes apart.
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Affiliation(s)
- Djûke M Brinksma
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein 1, XA10, 9713 GZ, Groningen, The Netherlands
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein 1, XA10, 9713 GZ, Groningen, The Netherlands
| | - Annelies de Bildt
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein 1, XA10, 9713 GZ, Groningen, The Netherlands
- Accare Child and Adolescent Psychiatry, Groningen, The Netherlands
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
- Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - Barbara J van den Hoofdakker
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein 1, XA10, 9713 GZ, Groningen, The Netherlands
- Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Groningen, The Netherlands
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein 1, XA10, 9713 GZ, Groningen, The Netherlands.
| | - Catharina A Hartman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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50
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Thapar A, Riglin L. The importance of a developmental perspective in Psychiatry: what do recent genetic-epidemiological findings show? Mol Psychiatry 2020; 25:1631-1639. [PMID: 31959848 PMCID: PMC7387296 DOI: 10.1038/s41380-020-0648-1] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 12/02/2019] [Accepted: 01/10/2020] [Indexed: 01/09/2023]
Abstract
There is growing appreciation that a developmental perspective is helpful in Psychiatry. However, clinical practice and research, especially in an era of very large sample sizes, often ignore the developmental context. In this perspective piece, we discuss why a developmental view is important in Psychiatry and how recent genetic-epidemiological findings further highlight this. DSM-5 childhood neurodevelopmental disorders such as ADHD, typically onset in early childhood but can persist into adult life; the same ADHD genetic loading appears to contribute across the life course. However, recent longitudinal studies have observed that ADHD symptoms may emerge later during adolescence and adult life in some individuals although the etiology of this late-onset group is unclear. The epidemiology and genetics of depression do not appear to be the same in childhood, adolescence, and adult life. Recent genetic findings further highlight this. Autistic type problems and irritability also appear to show developmental variation in their genetic etiology. These findings raise the question of whether social communication and irritability have the same meaning at different ages. Schizophrenia typically onsets after adolescence. However, it is commonly preceded by childhood antecedents that do not resemble schizophrenia itself but do appear to index schizophrenia genetic liability. We conclude that there is a need for clinicians and scientists to adopt a developmental perspective in clinical practice and research by considering age-at-onset and changes over time as well as different developmental periods when interpreting clinical symptoms.
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Affiliation(s)
- Anita Thapar
- Child and Adolescent Psychiatry Section, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.
| | - Lucy Riglin
- Child and Adolescent Psychiatry Section, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
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