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Chen R, Jiao Y, Zhu JS, Wang XH, Zhao MT. Frequency-specific static and dynamic neural activity indices in children with different attention deficit hyperactivity disorder subtypes: a resting-state fMRI study. Front Hum Neurosci 2024; 18:1412572. [PMID: 39188407 PMCID: PMC11345791 DOI: 10.3389/fnhum.2024.1412572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 07/17/2024] [Indexed: 08/28/2024] Open
Abstract
Attention deficit hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in childhood. Numerous resting-state functional magnetic resonance imaging (rs-fMRI) studies in ADHD have been performed using traditional low-frequency bands (0.01-0.08 Hz). However, the neural activity patterns of frequency subbands in ADHD still require further investigation. The purpose of this study is to explore the frequency-dependent characteristics and neural activity patterns of ADHD subtypes. We selected the ADHD combined type (ADHD-C, N = 25), ADHD inattentive type (ADHD-I, N = 26) and typically developing (TD, N = 28) children from the ADHD-200 Consortium. Based on the slow-5 band (0.01-0.027 Hz) and slow-4 band (0.027-0.073 Hz), we generated static and dynamic fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) maps for each participant. A flexible-factorial analysis of variance model was performed on static and temporal dynamic rs-fMRI measurements within two subbands. Results revealed that the orbital-frontal gyrus, precuneus, superior temporal gyrus and angular gyrus were found to have obvious frequency band and group interaction effects. The intrinsic neural activity differences among three groups were more prominent in the slow-5 frequency band compared to the slow-4 band. In addition, the indices of significant interaction regions showed correlations with the progression of the disease and the features in slow-5 showed an advantageous diagnostic performance compared with those in slow-4. The results suggested the intrinsic neural activities of ADHD subtypes were frequency-dependent. The frequency-specific analysis of static and dynamic brain activity may provide a deeper understanding of neurophysiological dysfunction patterns in ADHD subtypes and provide supplementary information for assessing ADHD subtypes.
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Affiliation(s)
- Ran Chen
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging and Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
- Department of Radiology, Nanjing BenQ Medical Center, the Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Yun Jiao
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging and Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
- Network Information Center, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Jun-Sa Zhu
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging and Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Xun-Heng Wang
- Institute of Biomedical Engineering and Instrumentation, Hangzhou Dianzi University, Hangzhou, China
| | - Mei-Ting Zhao
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging and Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
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2
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Merrill BM, Hare MM, Piscitello J, Schatz NK, Fabiano GA, Wells EL, Robertson EL, Aloe AM, Pelham WE, Macphee F, Ramos M, Zhao X, Altszuler AR, Javadi N, Morris SSJ, Smyth A, Ward L, Jones HA. Diversity and representation in ADHD psychosocial treatment research: A comprehensive synthesis with data from over 10,000 participants. Clin Psychol Rev 2024; 112:102461. [PMID: 38945033 DOI: 10.1016/j.cpr.2024.102461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 06/10/2024] [Accepted: 06/11/2024] [Indexed: 07/02/2024]
Abstract
Demographic data from nearly 50 years of treatment research for children and adolescents with attention-deficit/hyperactivity disorder (ADHD) are synthesized. Comprehensive search identified ADHD treatment studies that were between-group designs, included a psychosocial, evidence-based treatment, and were conducted in the United States. One hundred and twenty-six studies that included 10,604 youth were examined. Reporting of demographics varied with 48% of studies (k = 61) reporting ethnicity, 73% (k = 92) reporting race, 80% (k = 101) reporting age (M age = 8.81, SD = 2.82), and 88% (k = 111) reporting gender. Most participants identified as non-Hispanic/Latine (15.99% Hispanic/Latine), White (62.54%), and boys (74.39%; 24.47% girls). Since the 1970s, zero youth in ADHD treatment studies identified as Middle Eastern/North African, 0.1% were American Indian/Alaskan Native or Native Hawaiian Pacific Islander, 1.77% were Asian, 15.10% were Black, and 3.14% were Multiracial. Based on publication year, the proportions of girls, racially minoritized youth, and Hispanic/Latine youth included in ADHD treatment research have increased over time. Girls, non-binary and non-cisgender youth, young children, adolescents, Hispanic/Latine youth, and youth from all racial groups other than White are underrepresented in ADHD treatment research. Research gaps are discussed, and recommendations for comprehensive demographic reporting in child and adolescent psychological research are provided.
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Affiliation(s)
- Brittany M Merrill
- Center for Children and Families, Florida International University, Buffalo, NY, United States of America.
| | - Megan M Hare
- Department of Psychology, Vanderbilt University, Nashville, TN, United States of America
| | - Jennifer Piscitello
- Center for Children and Families, Florida International University, Miami, FL, United States of America
| | - Nicole K Schatz
- Department of Psychology, Center for Children and Families, Florida International University, Miami, FL, United States of America
| | - Gregory A Fabiano
- Center for Children and Families, Florida International University, Buffalo, NY, United States of America
| | - Erica L Wells
- Pediatric Psychology Associates, Miami, FL, United States of America
| | - Emily L Robertson
- Center for Children and Families, Florida International University, Miami, FL, United States of America
| | - Ariel M Aloe
- Center for Advanced Studies in Measurement and Assessment (CASMA) Department of Psychological and Quantitative Foundations, University of Iowa, Iowa City, IA, United States of America
| | - William E Pelham
- Center for Children and Families, Florida International University, Miami, FL, United States of America
| | - Fiona Macphee
- Evidence Based Treatment Centers of Seattle (EBTCS), Seattle, WA, United States of America
| | - Marcela Ramos
- Center for Children and Families, Florida International University, Miami, FL, United States of America
| | - Xin Zhao
- Seattle Children's Research Institute, University of Washington, Seattle, WA, United States of America
| | - Amy R Altszuler
- Center for Children and Families, Florida International University, Miami, FL, United States of America
| | - Natalie Javadi
- Department of Psychiatry, Columbia University Medical Center, New York, NY, United States of America
| | - Stephanie S J Morris
- Department of Psychology, Vanderbilt University, Nashville, TN, United States of America
| | - Alyssa Smyth
- Department of Counseling, School, and Educational Psychology, University at Buffalo, Buffalo, NY, United States of America
| | - Leah Ward
- Division of Child & Adolescent Psychiatry, University of Rochester Medical Center, Rochester, NY, United States of America
| | - Heather A Jones
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States of America
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3
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Frick MA, Hesser H, Sonuga-Barke E. Pervasive versus situational childhood ADHD: latent classes and their clinical characteristics, based on parent and teacher ratings in a large longitudinal population sample. Eur Child Adolesc Psychiatry 2024; 33:2253-2266. [PMID: 37845375 PMCID: PMC11255028 DOI: 10.1007/s00787-023-02308-3] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 09/22/2023] [Indexed: 10/18/2023]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) diagnoses require symptoms to be present in two settings. Low levels of concordance between symptoms rated at home and school raise questions regarding this approach. The aim was to examine whether there are sub-groups with context-specific expressions of ADHD symptoms (i.e., at home or school only) with clinically significant problems sufficient to support a new diagnostic formulation. We applied latent class transition analysis to parent and teacher data (N = 10,476) from the Avon Longitudinal Study of Parents and Children (ALSPAC), collected at ages 8, 10, and 20 years. We examined the short-term stability of emergent classes and their childhood and adult-associated risk profiles. In addition to an Unaffected class (~ 45%), there was a Pervasive Combined class with elevated inattentive and hyperactive/impulsive symptoms at both home and school (~ 11%) and three classes with situational expressions; School Combined (~ 9%), Home Combined (~ 18%), and School Inattentive (~ 16%). Stability ranged from 0.27 to 0.78. The Pervasive Combined class was most symptomatic and impaired. School inattentive also displayed clinical symptom levels, whereas the School and Home Combined classes displayed subclinical levels. Different profiles regarding sex, cognition, conduct problems, and substance use emerged for the three situational classes. Distinct groupings of pervasive and situational ADHD expressions are identifiable in the general population. The isolation of a stable and burdensome Pervasive Combined class lends support to the current diagnostic approach. However, there are indications of situational expressions of ADHD with clinical symptom levels and associated difficulties.
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Affiliation(s)
- Matilda A Frick
- Department of Psychology, Stockholm University, Albanovägen 12, 106 91, Stockholm, Sweden.
- Department of Psychology, Uppsala University, Uppsala, Sweden.
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
| | - Hugo Hesser
- School of Behavioural, Social and Legal Sciences, Center for Health and Medical Psychology, Örebro University, Örebro, Sweden
- Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden
| | - Edmund Sonuga-Barke
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Overgaard KR, Oerbeck B, Friis S, Pripp AH, Aase H, Biele G, Ingeborgrud CB, Polanczyk GV, Zeiner P. Early and repeated screening detects children with persistent attention-deficit/hyperactivity disorder. Eur Child Adolesc Psychiatry 2024; 33:1807-1815. [PMID: 37624573 PMCID: PMC11211128 DOI: 10.1007/s00787-023-02284-8] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 08/14/2023] [Indexed: 08/26/2023]
Abstract
Preschool screening of attention-deficit/hyperactivity disorder (ADHD) has been found too inaccurate to be clinically useful. This may be due to the known instability of ADHD symptoms from preschool onwards, and the use of a single screening only. We hypothesized that by identifying a group of children with persistent ADHD from preschool to school age and repeating the screening, the clinical usefulness of screening would increase. This study is part of the prospective longitudinal, population-based Norwegian Mother, Father and Child Cohort Study, with a diagnostic parent interview at 3.5 years and follow-up with parent questionnaires at ages 5 and 8 years (n = 707). We identified a group classified with ADHD at all three time points (persistent ADHD). We then used the Child Behavior Checklist ADHD DSM-oriented scale at ages 3.5 and 5 years to investigate the accuracies of single- and two-stage screening at different thresholds to identify children with persistent ADHD. About 30% of the children were classified with ADHD at least once across time (at ages 3.5, 5, and/or 8 years), but only 4% (n = 30) had persistent ADHD. At all thresholds, the two-stage screening identified children with persistent ADHD more accurately than single screening, mainly due to a substantial reduction in false positives. Only a small group of children were classified with persistent ADHD from preschool to school age, underlining that future screening studies should distinguish this group from those with fluctuating symptoms when estimating screening accuracies. We recommend a two-stage screening process to reduce false positives.
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Affiliation(s)
- Kristin Romvig Overgaard
- Division of Mental Health and Addiction, Oslo University Hospital, Nydalen, PO box 4959, 0424, Oslo, Norway.
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Beate Oerbeck
- Division of Mental Health and Addiction, Oslo University Hospital, Nydalen, PO box 4959, 0424, Oslo, Norway
| | - Svein Friis
- Division of Mental Health and Addiction, Oslo University Hospital, Nydalen, PO box 4959, 0424, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Are Hugo Pripp
- Oslo Centre of Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - Heidi Aase
- Department of Child Health and Development, Norwegian Institute of Public Health, Oslo, Norway
| | - Guido Biele
- Department of Child Health and Development, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Guilherme V Polanczyk
- Faculdade de Medicina FMUSP, Department of Psychiatry, University of Sao Paulo, Sao Paulo, Brazil
| | - Pål Zeiner
- Division of Mental Health and Addiction, Oslo University Hospital, Nydalen, PO box 4959, 0424, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Kofler MJ, Groves NB, Chan ESM, Marsh CL, Cole AM, Gaye F, Cibrian E, Tatsuki MO, Singh LJ. Working memory and inhibitory control deficits in children with ADHD: an experimental evaluation of competing model predictions. Front Psychiatry 2024; 15:1277583. [PMID: 38779551 PMCID: PMC11110569 DOI: 10.3389/fpsyt.2024.1277583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 03/07/2024] [Indexed: 05/25/2024] Open
Abstract
Introduction Children with ADHD demonstrate difficulties on many different neuropsychological tests. However, it remains unclear whether this pattern reflects a large number of distinct deficits or a small number of deficit(s) that broadly impact test performance. The current study is among the first experiments to systematically manipulate demands on both working memory and inhibition, with implications for competing conceptual models of ADHD pathogenesis. Method A clinically evaluated, carefully phenotyped sample of 110 children with ADHD, anxiety disorders, or co-occurring ADHD+anxiety (Mage=10.35, 44 girls; 69% White Not Hispanic/Latino) completed a counterbalanced, double dissociation experiment, with two tasks each per inhibition (low vs. high) x working memory (low vs. high) condition. Results Bayesian and frequentist models converged in indicating that both manipulations successfully increased demands on their target executive function (BF10>5.33x108, p<.001). Importantly, occupying children's limited capacity working memory system produced slower response times and reduced accuracy on inhibition tasks (BF10>317.42, p<.001, d=0.67-1.53). It also appeared to differentially reduce inhibition (and non-inhibition) accuracy for children with ADHD relative to children with anxiety (BF10=2.03, p=.02, d=0.50). In contrast, there was strong evidence against models that view working memory deficits as secondary outcomes of underlying inhibition deficits in ADHD (BF01=18.52, p=.85). Discussion This pattern indicates that working memory broadly affects children's ability to inhibit prepotent tendencies and maintain fast/accurate performance, and may explain the errors that children with ADHD make on inhibition tests. These findings are broadly consistent with models describing working memory as a causal mechanism that gives rise to secondary impairments. In contrast, these findings provide evidence against models that view disinhibition as a cause of working memory difficulties or view working memory as a non-causal correlate or epiphenomenon in ADHD.
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Affiliation(s)
- Michael J. Kofler
- Department of Psychology, Florida State University, Tallahassee, FL, United States
| | - Nicole B. Groves
- Department of Psychiatry, Seattle Children’s Hospital, Seattle, WA, United States
| | - Elizabeth S. M. Chan
- Graduate School of Applied and Professional Psychology, Rutgers University, New Brunswick, NJ, United States
| | - Carolyn L. Marsh
- Department of Psychology, Florida State University, Tallahassee, FL, United States
| | - Alissa M. Cole
- Department of Psychology, Florida State University, Tallahassee, FL, United States
| | - Fatou Gaye
- Department of Psychology, Florida State University, Tallahassee, FL, United States
| | - Enrique Cibrian
- Department of Psychology, Florida State University, Tallahassee, FL, United States
| | - Miho O. Tatsuki
- Department of Psychology, Florida State University, Tallahassee, FL, United States
| | - Leah J. Singh
- Department of Psychology, Florida State University, Tallahassee, FL, United States
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Rodriguez VJ, Finley JCA, Liu Q, Alfonso D, Basurto KS, Oh A, Nili A, Paltell KC, Hoots JK, Ovsiew GP, Resch ZJ, Ulrich DM, Soble JR. Empirically derived symptom profiles in adults with attention-Deficit/hyperactivity disorder: An unsupervised machine learning approach. APPLIED NEUROPSYCHOLOGY. ADULT 2024:1-10. [PMID: 38657158 DOI: 10.1080/23279095.2024.2343022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) is associated with various cognitive, behavioral, and mood symptoms that complicate diagnosis and treatment. The heterogeneity of these symptoms may also vary depending on certain sociodemographic factors. It is therefore important to establish more homogenous symptom profiles in patients with ADHD and determine their association with the patient's sociodemographic makeup. The current study used unsupervised machine learning to identify symptom profiles across various cognitive, behavioral, and mood symptoms in adults with ADHD. It was then examined whether symptom profiles differed based on relevant sociodemographic factors. METHODS Participants were 382 adult outpatients (62% female; 51% non-Hispanic White) referred for neuropsychological evaluation for ADHD. RESULTS Employing Gaussian Mixture Modeling, we identified two distinct symptom profiles in adults with ADHD: "ADHD-Plus Symptom Profile" and "ADHD-Predominate Symptom Profile." These profiles were primarily differentiated by internalizing psychopathology (Cohen's d = 1.94-2.05), rather than by subjective behavioral and cognitive symptoms of ADHD or neurocognitive test performance. In a subset of 126 adults without ADHD who were referred for the same evaluation, the unsupervised machine learning algorithm only identified one symptom profile. Group comparison analyses indicated that female patients were most likely to present with an ADHD-Plus Symptom Profile (χ2 = 5.43, p < .001). CONCLUSION The machine learning technique used in this study appears to be an effective way to elucidate symptom profiles emerging from comprehensive ADHD evaluations. These findings further underscore the importance of considering internalizing symptoms and patients' sex when contextualizing adult ADHD diagnosis and treatment.
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Affiliation(s)
- Violeta J Rodriguez
- Department of Psychology, University of Illinois at Urbana-Champaign, Illinois, USA
| | - John-Christopher A Finley
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Qimin Liu
- Department of Brain and Psychological Sciences, Boston, Massachusetts, USA
| | - Demy Alfonso
- Department of Psychiatry, University of Illinois at Chicago, Illinois, USA
| | - Karen S Basurto
- Department of Psychiatry, University of Illinois at Chicago, Illinois, USA
| | - Alison Oh
- Department of Psychiatry, University of Illinois at Chicago, Illinois, USA
| | - Amanda Nili
- Department of Psychiatry, University of Illinois at Chicago, Illinois, USA
| | | | - Jennifer K Hoots
- Department of Psychiatry, University of Illinois at Chicago, Illinois, USA
| | - Gabriel P Ovsiew
- Department of Psychiatry, University of Illinois at Chicago, Illinois, USA
| | - Zachary J Resch
- Department of Psychiatry, University of Illinois at Chicago, Illinois, USA
| | - Devin M Ulrich
- Department of Psychiatry, University of Illinois at Chicago, Illinois, USA
| | - Jason R Soble
- Department of Psychiatry, University of Illinois at Chicago, Illinois, USA
- Department of Neurology, University of Illinois at Chicago, Illinois, USA
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7
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Van Meter AR, Sibley MH, Vandana P, Birmaher B, Fristad MA, Horwitz S, Youngstrom EA, Findling RL, Arnold LE. The stability and persistence of symptoms in childhood-onset ADHD. Eur Child Adolesc Psychiatry 2024; 33:1163-1170. [PMID: 37270740 DOI: 10.1007/s00787-023-02235-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 05/16/2023] [Indexed: 06/05/2023]
Abstract
The course of childhood-onset attention deficit hyperactivity disorder (ADHD) varies across individuals; some will experience persistent symptoms while others' symptoms fluctuate or remit. We describe the longitudinal course of ADHD symptoms and associated clinical characteristics in adolescents with childhood-onset ADHD. Participants (aged 6-12 at baseline) from the Longitudinal Assessment of Manic Symptoms (LAMS) study who met DSM criteria for ADHD prior to age 12 were evaluated annually with the Kiddie Schedule for Affective Disorders and Schizophrenia for eight years. At each timepoint, participants were categorized as meeting ADHD criteria, subthreshold criteria, or not having ADHD. Stability of course was defined by whether participants experienced consistent ADHD symptoms, fluctuating symptoms, or remission. The persistence of the symptoms was defined by symptom status at the final two follow-ups (stable ADHD, stable remission, stable partial remission, unstable). Of 685 baseline participants, 431 had childhood-onset ADHD and at least two follow-ups. Half had a consistent course of ADHD, nearly 40% had a remitting course, and the remaining participants had a fluctuating course. More than half of participants met criteria for ADHD at the end of their participation; about 30% demonstrated stable full remission, 15% had unstable symptoms, and one had stable partial remission. Participants with a persistent course and stable ADHD outcome reported the highest number of symptoms and were most impaired. This work builds on earlier studies that describe fluctuating symptoms in young people with childhood-onset ADHD. Results emphasize the importance of ongoing monitoring and detailed assessment of factors likely to influence course and outcome to help young people with childhood-onset ADHD.
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Affiliation(s)
- Anna R Van Meter
- New York University Grossman School of Medicine, New York, NY, 10016, USA.
| | - Margaret H Sibley
- University of Washington School of Medicine and Seattle Children's Research Institute, Seattle, WA, USA
| | | | - Boris Birmaher
- The University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Mary A Fristad
- Nationwide Children's Hospital, The Ohio State University, Columbus, OH, USA
- The Ohio State University College of Medicine, Columbus, OH, USA
| | - Sarah Horwitz
- New York University Grossman School of Medicine, New York, NY, 10016, USA
| | - Eric A Youngstrom
- University of North Carolina at Chapel Hill and Helping Give Away Psychological Science, 501c3, Chapel Hill, NC, USA
| | | | - L Eugene Arnold
- The Ohio State University College of Medicine, Columbus, OH, USA
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8
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Lavigne JV, Hopkins J, Ballard RJ, Gouze KR, Ariza AJ, Martin CP. A Precision Mental Health Model for Predicting Stability of 4-year-olds' Attention Deficit/Hyperactivity Disorder Symptoms to Age 6 Diagnostic Status. Acad Pediatr 2024; 24:433-441. [PMID: 37865171 PMCID: PMC10997456 DOI: 10.1016/j.acap.2023.09.003] [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: 02/07/2023] [Revised: 09/05/2023] [Accepted: 09/08/2023] [Indexed: 10/23/2023]
Abstract
OBJECTIVE Estimates of the stability of a preschooler's diagnosis of Attention Deficit/Hyperactivity Disorder (ADHD) into early elementary school vary greatly. Identified factors associated with diagnostic instability provide little guidance about the likelihood a particular child will have ADHD in elementary school. This study examined an approach to predicting age 6 ADHD-any subtype (ADHD-any) from preschoolers' demographics and ADHD symptoms. METHOD Participants were 796 preschool children (Mage = 4.44; 51% boys; 54% White, non-Hispanic) recruited from primary pediatric care and school settings. Parents completed ADHD Rating Scales at child ages 4 and 5 years, and a structured diagnostic interview (DISC-YC) at ages 4 and 6. Classification tree analyses (CTAs) examined the predictive utility of demographic and symptom variables at ages 4 and 5 years for age 6 ADHD. RESULTS Over half (52.05%) of preschoolers meeting diagnostic criteria for ADHD-any at age 4 did not meet those criteria at age 6; more than half (52.05%) meeting criteria for ADHD-any at age 6 had not met those criteria at age 4. A CTA conducted at age 4 predicted age 6 ADHD-any diagnosis 65.82% better than chance; an age 5 CTA predicted age 6 ADHD-any 70.60% better than chance. At age 4, likelihood of age 6 ADHD-any diagnosis varied from <5% to >40% across CTA tree branches and from <5% to >78% at age 5. CONCLUSIONS Parent-reported patterns of preschool-age symptoms may differentially predict ADHD-any at age 6. Psychoeducation regarding these patterns may aid in decision about pursuing multidisciplinary evaluations or initiating treatment.
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Affiliation(s)
- John V Lavigne
- Pritzker Department of Psychiatry and Behavioral Health (JV Lavigne, RJ Ballard, KR Gouze, and CP Martin), Ann and Robert H. Lurie Children's Hospital of Chicago, Feinberg School of Medicine, Northwestern University, Ann and Robert H. Lurie Children's Hospital, Chicago, Ill.
| | - Joyce Hopkins
- Department of Psychology (J Hopkins and CP Martin), Illinois Institute of Technology, Chicago, Ill
| | - Rachel J Ballard
- Pritzker Department of Psychiatry and Behavioral Health (JV Lavigne, RJ Ballard, KR Gouze, and CP Martin), Ann and Robert H. Lurie Children's Hospital of Chicago, Feinberg School of Medicine, Northwestern University, Ann and Robert H. Lurie Children's Hospital, Chicago, Ill
| | - Karen R Gouze
- Pritzker Department of Psychiatry and Behavioral Health (JV Lavigne, RJ Ballard, KR Gouze, and CP Martin), Ann and Robert H. Lurie Children's Hospital of Chicago, Feinberg School of Medicine, Northwestern University, Ann and Robert H. Lurie Children's Hospital, Chicago, Ill
| | - Adolfo J Ariza
- Department of Pediatrics (AJ Ariza and CP Martin), Ann and Robert H. Lurie Children's Hospital of Chicago, Ann and Robert H. Lurie Children's Hospital, Chicago, Ill
| | - Caroline P Martin
- Pritzker Department of Psychiatry and Behavioral Health (JV Lavigne, RJ Ballard, KR Gouze, and CP Martin), Ann and Robert H. Lurie Children's Hospital of Chicago, Feinberg School of Medicine, Northwestern University, Ann and Robert H. Lurie Children's Hospital, Chicago, Ill; Institute for Child Success (CP Martin), Greenville, SC
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9
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Mahjoob M, Cardy R, Penner M, Anagnostou E, Andrade BF, Crosbie J, Kelley E, Ayub M, Ayub M, Brian J, Iaboni A, Schachar R, Georgiades S, Nicolson R, Jones J, Kushki A. Predictors of health-related quality of life for children with neurodevelopmental conditions. Sci Rep 2024; 14:6377. [PMID: 38493236 PMCID: PMC10944519 DOI: 10.1038/s41598-024-56821-9] [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] [Received: 02/15/2023] [Accepted: 03/11/2024] [Indexed: 03/18/2024] Open
Abstract
Neurodevelopmental conditions can be associated with decreased health-related quality of life; however, the predictors of these outcomes remain largely unknown. We characterized the predictors of health-related quality of life (HRQoL) in a sample of neurodiverse children and youth. We used a cross-sectional subsample from the Province of Ontario Neurodevelopmental Disorders Network (POND) consisting of those children and young people in the POND dataset with complete study data (total n = 615; 31% female; age: 11.28 years ± 2.84 years). Using a structural equation model, we investigated the effects of demographics (age, sex, socioeconomic status), core features (Social Communication Questionnaire, Toronto Obsessive Compulsive Scale, Strengths and Weaknesses of attention deficit/hyperactivity disorder (ADHD)-symptoms and Normal Behavior), co-occurring symptoms (Child Behaviour Checklist), and adaptive functioning (Adaptive Behaviour Assessment System) on HRQoL (KINDL). A total of 615 participants had complete data for this study (autism = 135, ADHD = 273, subthreshold ADHD = 7, obsessive-compulsive disorder (OCD) = 38, sub-threshold OCD = 1, neurotypical = 161). Of these participants, 190 (31%) identified as female, and 425 (69%) identified as male. The mean age was 11.28 years ± 2.84 years. Health-related quality of life was negatively associated with co-occurring symptoms (B = - 0.6, SE = 0.20, CI (- 0.95, - 0.19), p = 0.004)) and age (B = - 0.1, SE = 0.04, CI (- 0.19, - 0.01), p = 0.037). Fewer co-occurring symptoms were associated with higher socioeconomic status (B = - 0.5, SE = - 0.05, CI (- 0.58, - 0.37), p < 0.001). This study used a cross-sectional design. Given that one's experiences, needs, supports, and environment and thus HrQoL may change significantly over the lifespan and a longitudinal analysis of predictors is needed to capture these changes. Future studies with more diverse participant groups are needed. These results demonstrate the importance of behavioural and sociodemographic characteristics on health-related quality of life across neurodevelopmental conditions.
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Affiliation(s)
- Maryam Mahjoob
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada
| | - Robyn Cardy
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Melanie Penner
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Brendan F Andrade
- Department of Psychiatry, Margaret and Wallace McCain Centre for Child Youth and Family Mental Health, Centre for Addiction and Mental Health, University of Toronto, Toronto, Canada
| | - Jennifer Crosbie
- Department of Psychiatry, The Hospital for Sick Children (SickKids), Toronto, Canada
| | | | - Muhammad Ayub
- Department of Psychiatry, Queen's University, Kingston, Canada
| | - Muhammad Ayub
- Department of Psychology, Queen's University, Kingston, Canada
| | - Jessica Brian
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Alana Iaboni
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Russell Schachar
- Department of Psychiatry, The Hospital for Sick Children (SickKids), Toronto, Canada
| | - Stelios Georgiades
- Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, Canada
| | - Rob Nicolson
- Department of Psychiatry, Western University, London, Canada
| | - Jessica Jones
- Department of Psychiatry, Queen's University, Kingston, Canada
| | - Azadeh Kushki
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada.
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10
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Lahey BB. Using Dispositions to Understand Otherwise Intractable Causal Pathways to Psychological Problems During Childhood and Adolescence. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY : THE OFFICIAL JOURNAL FOR THE SOCIETY OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY, AMERICAN PSYCHOLOGICAL ASSOCIATION, DIVISION 53 2024; 53:328-341. [PMID: 38109688 PMCID: PMC11472698 DOI: 10.1080/15374416.2023.2292050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Studies of the genetic and environmental factors that make children more or less likely to develop distressing and impairing psychological problems, and studies of the psychobiological pathways through which these causal factors operate, have the goal of improving our understanding of the basic nature of psychological problems to develop better methods of prevention and treatment. For this reason, we have long had our eye on the prize of discovering the causes and psychobiological mechanisms underlying each dimension of psychological problems. There are compelling reasons, however, to seek a different and more achievable prize to understand psychological problems. Dimensions of psychological problems are both far too heterogeneous and too highly correlated to line up with distinct causal pathways. In contrast, a small number of orthogonal cognitive and socioemotional dispositional dimensions are correlated with psychological problems in revealing cross-cutting patterns. Each of these dispositions shares its independent causal pathways with psychological problems and help us understand the complex shared and heterogeneous nature of their causal processes. I outline a strategy for understanding the causes and mechanisms of psychological problems using studies of independently measured dispositions.
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Affiliation(s)
- Benjamin B Lahey
- Department of Public Health Studies (MC2000), University of Chicago
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11
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Grevet EH, Bandeira CE, Vitola ES, de Araujo Tavares ME, Breda V, Zeni G, Teche SP, Picon FA, Salgado CAI, Karam RG, da Silva BS, Sibley MH, Rohde LA, Cupertino RB, Rovaris DL, Bau CHD. The course of attention-deficit/hyperactivity disorder through midlife. Eur Arch Psychiatry Clin Neurosci 2024; 274:59-70. [PMID: 36484846 DOI: 10.1007/s00406-022-01531-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 11/29/2022] [Indexed: 12/13/2022]
Abstract
The course of ADHD from childhood up to young adulthood has been characterized in several studies. However, little is known about the course of symptoms into middle age and beyond. This study aims to evaluate predictors of ADHD trajectories in midlife based on three assessments. The follow-up sample comprised 323 adults with ADHD, evaluated at baseline and seven and thirteen years later, from the average ages of 34 up to 47 years old. ADHD status at reassessments was used to characterize trajectories. Demographics, ADHD features, comorbidities, and polygenic scores for ADHD and genetically correlated psychiatric disorders were evaluated to predict ADHD trajectories. Study retention rate was 67% at T2 (n = 216) and 62% at T3 (n = 199). Data from patients evaluated three times showed that 68.8% coursed stable, 25.5% unstable, and 5.7% remission trajectory of ADHD. Women, individuals with more severe syndromes, higher frequency of comorbidities at reassessments, and genetic liability to depression present a higher probability of a stable trajectory. Our findings shed light on midlife ADHD trajectories and their gender, genomic and clinical correlates.
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Affiliation(s)
- Eugenio Horacio Grevet
- Department of Psychiatry, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Laboratory of Developmental Psychiatry, Center of Experimental Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Cibele Edom Bandeira
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Eduardo Schneider Vitola
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Maria Eduarda de Araujo Tavares
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Vitor Breda
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Gregory Zeni
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Stefania Pigatto Teche
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Felipe Almeida Picon
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Carlos Alberto Iglesias Salgado
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Rafael Gomes Karam
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Bruna Santos da Silva
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Department of Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Margaret H Sibley
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle Children's Research Institute, Seattle, USA
| | - Luis Augusto Rohde
- Department of Psychiatry, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Laboratory of Developmental Psychiatry, Center of Experimental Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Renata Basso Cupertino
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Diego Luiz Rovaris
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Department of Physiology and Biophysics, Instituto de Ciencias Biomedicas Universidade de Sao Paulo, São Paulo, Brazil
| | - Claiton Henrique Dotto Bau
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
- Laboratory of Developmental Psychiatry, Center of Experimental Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
- ADHD Outpatient Program, Clinical Research Center, Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
- Department of Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
- Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
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12
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Caspi A, Houts RM, Fisher HL, Danese A, Moffitt TE. The general factor of psychopathology (p): Choosing among competing models and interpreting p. Clin Psychol Sci 2024; 12:53-82. [PMID: 38236494 PMCID: PMC10794018 DOI: 10.1177/21677026221147872] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 12/04/2022] [Indexed: 01/19/2024]
Abstract
Over the past 10 years, the general factor of psychopathology, p, has attracted interest and scrutiny. We review the history of the idea that all mental disorders share something in common, p; how we arrived at this idea; and how it became conflated with a statistical representation, the Bi-Factor Model. We then leverage the Environmental Risk (E-Risk) longitudinal twin study to examine the properties and nomological network of different statistical representations of p. We find that p performed similarly regardless of how it was modelled, suggesting that if the sample and content are the same the resulting p factor will be similar. We suggest that the meaning of p is not to be found by dueling over statistical models but by conducting well-specified criterion-validation studies and developing new measurement approaches. We outline new directions to refresh research efforts to uncover what all mental disorders have in common.
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Affiliation(s)
- Avshalom Caspi
- Department of Psychology & Neuroscience, Duke University
- PROMENTA, Department of Psychology, University of Oslo
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, King’s College London
| | | | - Helen L. Fisher
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, King’s College London
- ESRC Centre for Society and Mental Health, Kings’ College London
| | - Andrea Danese
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, King’s College London
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology, & Neuroscience, King’s College London
- National and Specialist CAMHS Clinic for Trauma, Anxiety, and Depression, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Terrie E. Moffitt
- Department of Psychology & Neuroscience, Duke University
- PROMENTA, Department of Psychology, University of Oslo
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, King’s College London
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13
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Eng AG, Bansal PS, Goh PK, Nirjar U, Petersen MK, Martel MM. Evidence-Based Assessment for Attention-Deficit/Hyperactivity Disorder. Assessment 2024; 31:42-52. [PMID: 36633097 DOI: 10.1177/10731911221149957] [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] [Indexed: 01/13/2023]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that affects individuals from all life stages, genders, and races/ethnicities. Accurate assessment of ADHD across different populations is essential as undiagnosed ADHD is associated with numerous costly negative public health outcomes and is complicated by high comorbidity and developmental change in symptoms over time. Predictive analysis suggests that best-practice evidence-based assessment of ADHD should include both ADHD-specific and broadband rating scales from multiple informants with consideration of IQ, academic achievement, and executive function when there are concerns about learning. For children under age 12, parent and teacher ratings should be averaged. For adolescents and adults, informant reports should be prioritized when self- and other-report are inconsistent. Future research should provide more stringent evaluation of the sensitivity of measures to treatment response and developmental change over time as well as further validate measures on historically understudied populations (i.e., adults, women, and racial/ethnic minorities).
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14
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Power J, Watson S, Chen W, Lewis A, van IJzendoorn M, Galbally M. The trajectory of maternal perinatal depressive symptoms predicts executive function in early childhood. Psychol Med 2023; 53:7953-7963. [PMID: 37781906 PMCID: PMC10755237 DOI: 10.1017/s0033291723002118] [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: 02/23/2023] [Revised: 06/20/2023] [Accepted: 07/10/2023] [Indexed: 10/03/2023]
Abstract
BACKGROUND Perinatal maternal depression may affect fetal neurodevelopment directly or indirectly via exposures such as smoking, alcohol, or antidepressant use. The relative contribution of these risk factors on child executive function (EF) has not been explored systematically. METHODS A prospective pregnancy cohort of 197 women and their children was studied to determine whether maternal depression diagnosis and the trajectory of maternal depressive symptoms (MDSs) from early pregnancy to 12 months postpartum predicts child EF at age 4 (measured using the preschool age psychiatric assessment, NEPSY-II, and Shape School task) using latent growth curve modeling. Indirect effects of smoking, alcohol, and antidepressant use were also formally tested. RESULTS Increasing maternal perinatal depressive symptoms over time predicted more inattentive symptoms, poorer switching, and motor inhibition, but not cognitive inhibition. When adjusted for multiple comparison, and after accounting for maternal cognition and education, the association with child inattentive symptoms remained significant. However, diagnosed depression did not predict child EF outcomes. Prenatal exposure to smoking, alcohol, and antidepressants also did not mediate pathways from depressive symptoms to EF outcomes. Our findings were limited by sample size and statistical power to detect outcome effects of smaller effect size. CONCLUSIONS This study suggests that increasing MDSs over the perinatal period is associated with poorer EF outcomes in children at age 4 - independent of prenatal smoking, drinking, or antidepressant use. Depressive chronicity, severity, and postpartum influences may play crucial roles in determining childhood outcomes of EF.
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Affiliation(s)
- Josephine Power
- School of Clinical Sciences, Department of Psychiatry, Monash University, Clayton, VIC, Australia
| | - Stuart Watson
- School of Clinical Sciences, Department of Psychiatry, Monash University, Clayton, VIC, Australia
- Health Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Wai Chen
- Fiona Stanley Hospital, Murdoch, Perth, Australia
- Graduate School of Education, University of Western Australia, Perth, Australia
- Curtin Medical School, Curtin University, Perth, Australia
- Curtin enAble Institute, Curtin University, Perth, Australia
- Centre of Healthy Aging, Murdoch University, Perth, Australia
- Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand
- University of Western Australia Medical School, Perth, WA, Australia
| | - Andrew Lewis
- Institute for Health and Wellbeing, Federation University Australia, Mount Helen, VIC, Australia
| | - Marinus van IJzendoorn
- School of Clinical Sciences, Department of Psychiatry, Monash University, Clayton, VIC, Australia
- Erasmus Universiteit Rotterdam, Rotterdam, Netherlands
| | - Megan Galbally
- School of Clinical Sciences, Department of Psychiatry, Monash University, Clayton, VIC, Australia
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15
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Fruchter N, Arcoleo K, Rastogi D, Serebrisky D, Warman K, Feldman JM. Attention-Deficit Hyperactivity Disorder Symptoms, Underperception of Respiratory Compromise, and Illness Representations in Black and Latino Children With Asthma. J Pediatr Psychol 2023; 48:896-906. [PMID: 37743051 PMCID: PMC10653357 DOI: 10.1093/jpepsy/jsad062] [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] [Received: 02/15/2023] [Revised: 09/06/2023] [Accepted: 09/06/2023] [Indexed: 09/26/2023] Open
Abstract
OBJECTIVE This study examined the associations between attention-deficit/hyperactivity disorder (ADHD) symptoms, underperception of respiratory compromise, and illness representations in Black and Latino children with asthma. We hypothesized that increased child-reported ADHD symptoms, as well as parent reports for their child, would be associated with underperception of respiratory compromise, and maladaptive asthma beliefs. METHODS Two hundred ninety-six parent-child dyads were recruited from pediatric asthma and primary care clinics in the Bronx. Participants completed demographic questionnaires, the Conners-3 ADHD Index to measure ADHD symptoms, and the Asthma Illness Representation Scale to assess asthma beliefs. Perception of respiratory compromise was assessed by programmable electronic peak flow monitors that measured the child's subjective estimates of peak expiratory flow (PEF) and actual PEF, with underperception as the primary measure. RESULTS Child-reported ADHD symptoms were associated with greater underperception (β = .117, p = .049) of respiratory compromise. Parent-reported ADHD symptoms were associated with greater underperception (β = .129, p = .028) of respiratory compromise. Child-reported ADHD symptoms (β = -.188, p < .001) were associated with more maladaptive asthma beliefs, F(1, 341) = 13.135. Parent-reported ADHD symptoms (β = -.203, p ≤ .001) were associated with more maladaptive asthma beliefs, F(1, 341) = 15.644. CONCLUSIONS ADHD symptoms were associated with a greater underperception of respiratory compromise and more maladaptive asthma beliefs. Deficits of attentional processes and/or hyperactivity levels might be contributing factors. We emphasize the need for psychoeducation and interventions that improve perception and health beliefs in children with comorbid ADHD and asthma.
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Affiliation(s)
| | | | - Deepa Rastogi
- Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine/The Children's Hospital at Montefiore, USA
| | | | - Karen Warman
- Division of General Academic Pediatrics, Department of Pediatrics, Albert Einstein College of Medicine/The Children’s Hospital at Montefiore, USA
| | - Jonathan M Feldman
- Ferkauf Graduate School of Psychology, Yeshiva University, USA
- Division of General Academic Pediatrics, Department of Pediatrics, Albert Einstein College of Medicine/The Children’s Hospital at Montefiore, USA
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16
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Overgaard KR, Oerbeck B, Friis S, Pripp AH, Aase H, Biele G, Ingeborgrud CB, Polanczyk GV, Zeiner P. Attention-deficit/hyperactivity disorder from preschool to school age: change and stability of parent and teacher reports. Eur Child Adolesc Psychiatry 2023; 32:1947-1955. [PMID: 35737107 PMCID: PMC10533600 DOI: 10.1007/s00787-022-02019-1] [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: 11/26/2021] [Accepted: 06/01/2022] [Indexed: 11/03/2022]
Abstract
Identifying attention-deficit/hyperactivity disorder (ADHD) in pre-schoolers may improve their development if treated, but it is unclear whether ADHD symptoms from this age are stable enough to merit treatment. We aimed to investigate the stability of parent- and teacher-reported ADHD symptoms and ADHD classified above the diagnostic symptom thresholds, including for hyperactivity-impulsivity (HI), inattention and combined presentations from age 3 to 8 years. This study is part of the longitudinal, population-based Norwegian Mother, Father and Child Cohort Study. At child age 3 years, parents were interviewed and teachers rated ADHD symptoms. At age 8 years, parents (n = 783) and teachers (n = 335) reported ADHD symptoms by the Child Symptom Inventory-4. We found a significant reduction in the mean number of parent-reported ADHD and HI symptoms from age 3 to 8 years, but otherwise similar mean numbers. Parent-reported ADHD symptoms were moderately correlated between ages, while correlations were low for teachers. A total of 77/108 (71%) of the children classified with parent-reported HI presentation at age 3 years were no longer classified within any ADHD presentation at age 8 years, the only clear trend across time for either informant. There was a low to moderate parent-teacher-agreement in the number of reported symptoms, and very low informant agreement for the classified ADHD presentations. Overall, clinicians should exercise caution in communicating concern about HI symptoms in preschool children. Age 3 years may be too early to apply the ADHD diagnostic symptom criteria, especially if parents and teachers are required to agree.
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Affiliation(s)
- Kristin Romvig Overgaard
- Division of Mental Health and Addiction, Oslo University Hospital, Nydalen, P.B. 4959, 0424, Oslo, Norway.
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Beate Oerbeck
- Division of Mental Health and Addiction, Oslo University Hospital, Nydalen, P.B. 4959, 0424, Oslo, Norway
| | - Svein Friis
- Division of Mental Health and Addiction, Oslo University Hospital, Nydalen, P.B. 4959, 0424, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Are Hugo Pripp
- Oslo Centre of Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - Heidi Aase
- Department of Child Health and Development, Norwegian Institute of Public Health, Oslo, Norway
| | - Guido Biele
- Department of Child Health and Development, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Guilherme V Polanczyk
- Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Pål Zeiner
- Division of Mental Health and Addiction, Oslo University Hospital, Nydalen, P.B. 4959, 0424, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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17
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Chatpreecha P, Usanavasin S. Design of a Collaborative Knowledge Framework for Personalised Attention Deficit Hyperactivity Disorder (ADHD) Treatments. CHILDREN (BASEL, SWITZERLAND) 2023; 10:1288. [PMID: 37628287 PMCID: PMC10453366 DOI: 10.3390/children10081288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/20/2023] [Accepted: 07/23/2023] [Indexed: 08/27/2023]
Abstract
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder. From the data collected by the Ministry of Public Health, Thailand, it has been reported that more than one million Thai youths (6-12 years) have been diagnosed with ADHD (2012-2018) This disorder is more likely to occur in males (12%) than females (4.2%). If ADHD goes untreated, there might be problems for individuals in the long run. This research aims to design a collaborative knowledge framework for personalised ADHD treatment recommendations. The first objective is to design a framework and develop a screening tool for doctors, parents, and teachers for observing and recording behavioural symptoms in ADHD children. This screening tool is a combination of doctor-verified criteria and the ADHD standardised screening tool (Vanderbilt). The second objective is to introduce practical algorithms for classifying ADHD types and recommending appropriate individual behavioural therapies and activities. We applied and compared four well-known machine-learning methods for classifying ADHD types. The four algorithms include Decision Tree, Naïve Bayes, neural network, and k-nearest neighbour. Based on this experiment, the Decision Tree algorithm yielded the highest average accuracy, which was 99.60%, with F1 scores equal to or greater than 97% for classifying each type of ADHD.
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Affiliation(s)
| | - Sasiporn Usanavasin
- School of Information, Computer and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani 12000, Thailand;
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18
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Han S, Cui Q, Zheng R, Li S, Zhou B, Fang K, Sheng W, Wen B, Liu L, Wei Y, Chen H, Chen Y, Cheng J, Zhang Y. Parsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorization. Nat Commun 2023; 14:4053. [PMID: 37422463 PMCID: PMC10329663 DOI: 10.1038/s41467-023-39861-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 06/27/2023] [Indexed: 07/10/2023] Open
Abstract
The high inter-individual heterogeneity in individuals with depression limits neuroimaging studies with case-control approaches to identify promising biomarkers for individualized clinical decision-making. We put forward a framework integrating the normative model and non-negative matrix factorization (NMF) to quantitatively assess altered gray matter morphology in depression from a dimensional perspective. The proposed framework parses altered gray matter morphology into overlapping latent disease factors, and assigns patients distinct factor compositions, thus preserving inter-individual variability. We identified four robust disease factors with distinct clinical symptoms and cognitive processes in depression. In addition, we showed the quantitative relationship between the group-level gray matter morphological differences and disease factors. Furthermore, this framework significantly predicted factor compositions of patients in an independent dataset. The framework provides an approach to resolve neuroanatomical heterogeneity in depression.
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Affiliation(s)
- Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan Province, China.
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Henan Province, China.
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Henan Province, China.
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Henan Province, China.
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Henan Province, China.
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Henan Province, China.
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Henan Province, China.
- Henan Engineering Research Center of Brain Function Development and Application, Henan Province, China.
| | - Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan Province, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Henan Province, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Henan Province, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Henan Province, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Henan Province, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Henan Province, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Henan Province, China
- Henan Engineering Research Center of Brain Function Development and Application, Henan Province, China
| | - Shuying Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Henan Province, China
| | - Bingqian Zhou
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan Province, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Henan Province, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Henan Province, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Henan Province, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Henan Province, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Henan Province, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Henan Province, China
- Henan Engineering Research Center of Brain Function Development and Application, Henan Province, China
| | - Keke Fang
- Department of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Henan Province, China
| | - Wei Sheng
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Baohong Wen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan Province, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Henan Province, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Henan Province, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Henan Province, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Henan Province, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Henan Province, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Henan Province, China
- Henan Engineering Research Center of Brain Function Development and Application, Henan Province, China
| | - Liang Liu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan Province, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Henan Province, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Henan Province, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Henan Province, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Henan Province, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Henan Province, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Henan Province, China
- Henan Engineering Research Center of Brain Function Development and Application, Henan Province, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan Province, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Henan Province, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Henan Province, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Henan Province, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Henan Province, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Henan Province, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Henan Province, China
- Henan Engineering Research Center of Brain Function Development and Application, Henan Province, China
| | - Huafu Chen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan Province, China.
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
| | - Yuan Chen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan Province, China.
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Henan Province, China.
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Henan Province, China.
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Henan Province, China.
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Henan Province, China.
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Henan Province, China.
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Henan Province, China.
- Henan Engineering Research Center of Brain Function Development and Application, Henan Province, China.
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan Province, China.
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Henan Province, China.
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Henan Province, China.
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Henan Province, China.
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Henan Province, China.
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Henan Province, China.
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Henan Province, China.
- Henan Engineering Research Center of Brain Function Development and Application, Henan Province, China.
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan Province, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Henan Province, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Henan Province, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Henan Province, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Henan Province, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Henan Province, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Henan Province, China
- Henan Engineering Research Center of Brain Function Development and Application, Henan Province, China
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19
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Hollingdale J, Woodhouse E, Young S, Gudjonsson G, Charman T, Mandy W. Sex differences in conduct and emotional outcomes for young people with hyperactive/inattentive traits and social communication difficulties between 9 and 16 years of age: a growth curve analysis. Psychol Med 2023; 53:4539-4549. [PMID: 35904163 PMCID: PMC10388317 DOI: 10.1017/s0033291722001416] [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: 11/06/2020] [Revised: 03/15/2022] [Accepted: 04/28/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND The purpose of this paper is to identify the trajectory of conduct and emotional problems for young people within the general population at four time points (between 9 years 7 months and 16 years 6 months), investigate their relationship with hyperactive/inattentive traits and explore the moderating effect of autistic social traits (ASTs). METHODS Data from 9305 individuals involved in The Avon Longitudinal Study of Parents and Children (ALSPAC) study were included. Conduct and emotional problems and hyperactive/inattentive traits were measured by the Strengths and Difficulties Questionnaire. ASTs were assessed using the Social Communication Disorder Checklist. Individual trajectories for conduct and emotional problems were identified via growth curve modelling. Hyperactive/inattentive traits were included within the growth curve model as a time-varying covariate to determine their effect on these outcomes. Finally, participants were split into two groups (below and above clinical threshold ASTs Groups) and multi-group invariance testing was conducted on the data to identify the moderating effect of ASTs on the relationship between hyperactive/inattentive traits and outcomes (i.e. conduct and emotional problems). RESULTS Hyperactive/inattentive traits were associated with higher rates of conduct and emotional problems for both boys and girls. The presence of ASTs moderated these relationships for boys, but not for girls, by increasing the risk of boys with hyperactive/inattentive traits developing greater conduct and emotional problems. CONCLUSIONS These findings underscore the importance of identifying hyperactive/inattentive traits and ASTs in young people and addressing the increased risk of conduct and emotional problems. Research and clinical implications are explored.
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20
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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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21
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Eng AG, Phan JM, Shirtcliff EA, Eisenlohr-Moul TA, Goh PK, Martel MM. Aging and Pubertal Development Differentially Predict Symptoms of ADHD, Depression, and Impairment in Children and Adolescents: An Eight-Year Longitudinal Study. Res Child Adolesc Psychopathol 2023; 51:819-832. [PMID: 36719623 PMCID: PMC10198896 DOI: 10.1007/s10802-023-01030-7] [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: 01/17/2023] [Indexed: 02/01/2023]
Abstract
Activational effects of the reproductive neuroendocrine system may explain why some youths with ADHD are at greater risk for exacerbated ADHD symptoms (hyperactivity, inattention, impulsivity) during adolescence. For youths diagnosed with ADHD, first signs of ADHD symptoms become noticeable by multiple reporters (e.g., teachers, parents) when children enter schools, typically around kindergarten. The current study examined possible sex differences in ADHD, impairment, and comorbidity due to pubertal effects, as the role of pubertal development in ADHD is understudied. ADHD symptoms, depressive symptoms, impairment, and pubertal stage were assessed annually by multiple reporters in a well-characterized community sample of 849 children over-recruited for ADHD over eight years. Ages ranged from 7 to 13 years (38.16% female) at wave 1. Multilevel models indicated that males had higher levels of hyperactivity, impulsivity, and inattention than females, but that females had higher levels of impairment than males. Inattention symptoms did not show marked maturation changes. Hyperactivity and impulsivity declined as youth aged and impairment increased as youth aged. Lastly, depressive symptoms largely increased as youth aged and were higher amongst youth at later pubertal stages. Put together, aging and pubertal development are associated with improved ADHD symptoms but not for youth with high impairment. Findings from this study contributes to understanding the role that aging, pubertal status, and pubertal development plays in ADHD, impairment, and comorbidity in children and adolescents.
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Affiliation(s)
- Ashley G Eng
- Department of Psychology, University of Kentucky, 171 Funkhouser Drive, 40506-0044, Lexington, KY,, USA.
| | - Jenny M Phan
- Children's National Hospital, Center for Autism Spectrum Disorders, Center for Neuroscience Research, Washington, D.C., USA
| | | | | | - Patrick K Goh
- Department of Psychology, University of Hawai'i at Mānoa, Honolulu, HI, USA
| | - Michelle M Martel
- Department of Psychology, University of Kentucky, 171 Funkhouser Drive, 40506-0044, Lexington, KY,, USA
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22
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Han S, Xu Y, Fang K, Guo HR, Wei Y, Liu L, Wen B, Liu H, Zhang Y, Cheng J. Mapping the neuroanatomical heterogeneity of OCD using a framework integrating normative model and non-negative matrix factorization. Cereb Cortex 2023:7153879. [PMID: 37150510 DOI: 10.1093/cercor/bhad149] [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: 02/14/2023] [Revised: 04/05/2023] [Accepted: 04/06/2023] [Indexed: 05/09/2023] Open
Abstract
Obsessive-compulsive disorder (OCD) is a spectrum disorder with high interindividual heterogeneity. We propose a comprehensible framework integrating normative model and non-negative matrix factorization (NMF) to quantitatively estimate the neuroanatomical heterogeneity of OCD from a dimensional perspective. T1-weighted magnetic resonance images of 98 first-episode untreated patients with OCD and matched healthy controls (HCs, n = 130) were acquired. We derived individualized differences in gray matter morphometry using normative model and parsed them into latent disease factors using NMF. Four robust disease factors were identified. Each patient expressed multiple factors and exhibited a unique factor composition. Factor compositions of patients were significantly correlated with severity of symptom, age of onset, illness duration, and exhibited sex differences, capturing sources of clinical heterogeneity. In addition, the group-level morphological differences obtained with two-sample t test could be quantitatively derived from the identified disease factors, reconciling the group-level and subject-level findings in neuroimaging studies. Finally, we uncovered two distinct subtypes with opposite morphological differences compared with HCs from factor compositions. Our findings suggest that morphological differences of individuals with OCD are the unique combination of distinct neuroanatomical patterns. The proposed framework quantitatively estimating neuroanatomical heterogeneity paves the way for precision medicine in OCD.
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Affiliation(s)
- Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Yinhuan Xu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Keke Fang
- Department of Pharmacy, Henan Cancer Hospital, Affiliated Cancer Hospital of Zhengzhou University
| | - Hui-Rong Guo
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Liang Liu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Baohong Wen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Hao Liu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
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23
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Stewart EK, Kotelnikova Y, Olino TM, Hayden EP. Early childhood impulsivity and parenting predict children's development of externalizing psychopathology. Dev Psychopathol 2023:1-13. [PMID: 37144393 DOI: 10.1017/s0954579423000482] [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: 05/06/2023]
Abstract
Parenting and child impulsivity are consistent predictors of children's externalizing symptoms; however, the role of the range of parenting (i.e., variation in parenting across contexts), and its interactions with child impulsivity, are poorly understood. We examined whether characteristic parenting practices and parenting range predicted the course of externalizing symptoms in 409 children (Mage = 3.43 years at baseline, 208 girls) across ages 3, 5, 8, and 11. We assessed parent positive affectivity (PPA), hostility, and parenting structure at child age 3 using three behavioral tasks that varied in context, examining range by modeling a latent difference score for each parenting dimension. Greater PPA range, mean structure, and parenting structure range all predicted fewer symptoms at age 3 for children with higher impulsivity. Lower mean hostility predicted fewer symptoms at age 3 for children with lower impulsivity. Greater PPA, and smaller PPA range, predicted a decrease in symptoms for children higher in impulsivity. Lower hostility range predicted a decrease in symptoms for children with lower impulsivity but predicted maintaining symptoms for children with higher impulsivity. Results demonstrate the differential roles average parenting practices and parenting range play in the development of child externalizing psychopathology, especially in the context of child impulsivity.
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Affiliation(s)
- Emma K Stewart
- Department of Psychology, Western University, London, ON, Canada
- Brain and Mind Institute, Western University, London, ON, Canada
| | | | - Thomas M Olino
- Department of Psychology, Temple University, Philadelphia, PA, USA
| | - Elizabeth P Hayden
- Department of Psychology, Western University, London, ON, Canada
- Brain and Mind Institute, Western University, London, ON, Canada
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24
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Tiemeier H. Modeling the malleable mental health trajectory - a commentary on Oldehinkel and Ormel (2023). J Child Psychol Psychiatry 2023; 64:503-505. [PMID: 36799564 DOI: 10.1111/jcpp.13766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/26/2023] [Indexed: 02/18/2023]
Abstract
In their Annual Research Review titled 'Stability of psychopathology: Lessons learned from longitudinal population surveys' (Oldehinkel & Ormel, Journal of Child Psychology and Psychiatry, 2022) argue that psychological and psychiatric researchers should not only compare groups but also focus on the within-person variability using repeated measurements in longitudinal studies to advance our understanding of emotional and behavioral problems. I argue adopting such within-person approaches might also change how we think about causality and might lead us to more successful intervention research.
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Affiliation(s)
- Henning Tiemeier
- Department of Social and Behavioral Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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25
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Hall AM, Ramos AM, Drover SS, Choi G, Keil AP, Richardson DB, Martin CL, Olshan AF, Villanger GD, Reichborn-Kjennerud T, Zeiner P, Øvergaard KR, Sakhi AK, Thomsen C, Aase H, Engel SM. Gestational organophosphate ester exposure and preschool attention-deficit/hyperactivity disorder in the Norwegian Mother, Father, and Child cohort study. Int J Hyg Environ Health 2023; 248:114078. [PMID: 36455478 PMCID: PMC9898152 DOI: 10.1016/j.ijheh.2022.114078] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 11/11/2022] [Accepted: 11/18/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Attention-deficit/hyperactivity-disorder (ADHD) is a leading neurodevelopmental disorder in children worldwide; however, few modifiable risk factors have been identified. Organophosphate esters (OPEs) are ubiquitous chemical compounds that are increasingly prevalent as a replacement for other regulated chemicals. Current research has linked OPEs to neurodevelopmental deficits. The purpose of this study was to assess gestational OPE exposure on clinically-assessed ADHD in children at age 3 years. METHODS In this nested case-control study within the Norwegian Mother, Father, and Child Cohort study, we evaluated the impact of OPE exposure at 17 weeks' gestation on preschool-age ADHD. Between 2007 and 2011, 260 ADHD cases were identified using the Preschool Age Psychiatric Assessment and compared to a birth-year-stratified control group of 549 children. We categorized bis(2-butoxyethyl) phosphate (BBOEP) and bis(1,3-dichloro-2-propyl) phosphate (BDCIPP) as values < limit of detection (LOD) (BBOEP N = 386, BDCIPP N = 632), ≥LOD but < limit of quantification (LOQ) (BBOEP N = 413; BDCIPP N = 75), or above LOQ (BBOEP N = 70; BDCIPP N = 102). Diphenyl phosphate (DPhP) and di-n-butyl phosphate (DnBP) were categorized as quartiles and also modeled with a log10 linear term. We estimated multivariable adjusted odds ratios (ORs) using logistic regression and examined modification by sex using an augmented product term approach. RESULTS Mothers in the 3rd DnBP quartile had 1.71 times the odds of having a child with ADHD compared to the 1st quartile (95%CI: 1.13, 2.58); a similar trend was observed for log10 DnBP and ADHD. Mothers with BDCIPP ≥ LOD but < LOQ had 1.39 times the odds of having a child with ADHD compared to those with BDCIPP < LOD (95%CI: 0.83, 2.31). Girls had lower odds of ADHD with increasing BBOEP exposure (log10 OR: 0.55 (95%CI: 0.37, 0.93), however boys had a weakly increased odds (log10 OR: 1.25 (95%CI: 0.74, 2.11) p-interaction = 0.01]. CONCLUSIONS We found modest increased odds of preschool ADHD with higher DnBP and BDCIPP exposure.
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Affiliation(s)
- Amber M Hall
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
| | - Amanda M Ramos
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Samantha Sm Drover
- Department of Public Health Sciences, School of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Giehae Choi
- Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Alexander P Keil
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - David B Richardson
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Chantel L Martin
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Gro D Villanger
- Department of Child Health and Development, Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ted Reichborn-Kjennerud
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Mental Disorders, Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Pål Zeiner
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Kristin R Øvergaard
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Amrit K Sakhi
- Department of Food Safety, Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Cathrine Thomsen
- Department of Food Safety, Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Heidi Aase
- Department of Child Health and Development, Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Stephanie M Engel
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
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26
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Phillips MS, Bing-Canar H, Shields AN, Cerny B, Chang F, Wisinger AM, Leib SI, Ovsiew GP, Resch ZJ, Jennette KJ, Soble JR. Assessment of learning and memory impairments in adults with predominately inattentive versus combined presentation attention-deficit/hyperactivity disorder. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-10. [PMID: 36697387 DOI: 10.1080/23279095.2023.2169887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
This cross-sectional study compared adults diagnosed with Attention-Deficit/Hyperactivity Disorder-Inattentive (ADHD-I) and ADHD-Combined (ADHD-C) presentations with a non-ADHD group on verbal and visual learning and delayed recall using the Rey Auditory Verbal Learning Test (RAVLT) and Brief Visuospatial Memory Test-Revised (BVMT-R), respectively. Data from 380 predominately college student adult outpatients were used, with 155 who met criteria for ADHD-I, 165 who met criteria for ADHD-C, and 60 who did not meet criteria for ADHD but were diagnosed with a primary depressive or anxiety disorder or received no diagnosis. Each patient was administered the RAVLT and BVMT-R as part of a comprehensive neuropsychological evaluation. Significant main effects of study group were found, such that patients with ADHD-C demonstrated worse learning and delayed recall of both verbal and visual information than patients with ADHD-I and the non-ADHD group. Patients with ADHD-I performed comparably to the non-ADHD group, apart from visual learning and delayed recall. Notably, more patients in the ADHD groups had possible or probable learning and memory impairment compared to the non-ADHD group. Findings were consistent with previous research indicating that those with ADHD exhibit poorer verbal and visual learning and delayed recall than those without ADHD.
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Affiliation(s)
- Matthew S Phillips
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA
| | - Hanaan Bing-Canar
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA
| | - Allison N Shields
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA
| | - Brian Cerny
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA
| | - Fini Chang
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA
| | - Amanda M Wisinger
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA
| | - Sophie I Leib
- Psychology Department, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA
| | - Gabriel P Ovsiew
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA
| | - Zachary J Resch
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA
| | - Kyle J Jennette
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA
| | - Jason R Soble
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA
- Department of Neurology and Rehabiliation, University of Illinois College of Medicine, Chicago, IL, USA
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27
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Galvez-Contreras AY, Vargas-de la Cruz I, Beltran-Navarro B, Gonzalez-Castaneda RE, Gonzalez-Perez O. Therapeutic Approaches for ADHD by Developmental Stage and Clinical Presentation. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12880. [PMID: 36232180 PMCID: PMC9566361 DOI: 10.3390/ijerph191912880] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 09/20/2022] [Accepted: 09/28/2022] [Indexed: 06/16/2023]
Abstract
Attention Deficit Hyperactivity Disorder is a neurodevelopmental disorder with three presentations: inattentive, hyperactive/impulsive and combined. These may represent an independent disease entity. Therefore, the therapeutic approach must be focused on their neurobiological, psychological and social characteristics. To date, there is no comprehensive analysis of the efficacy of different treatments for each presentation of ADHD and each stage of development. This is as narrative overview of scientific papers that summarize the most recent findings and identify the most effective pharmacological and psychosocial treatments by ADHD presentation and age range. Evidence suggests that methylphenidate is the safest and most effective drug for the clinical management of children, adolescents and adults. Atomoxetine is effective in preschoolers and maintains similar efficacy to methylphenidate in adults, whereas guanfacine has proven to be an effective monotherapy for adults and is a worthy adjuvant for the management of cognitive symptoms. The psychosocial treatments with the best results in preschoolers are behavioral interventions that include training of primary caregivers. In adolescents, the combination of cognitive and cognitive-behavioral therapies has shown the best results, whereas cognitive-behavioral interventions are the most effective in adults. Pharmacological and psychosocial treatments must be adjusted to the ADHD presentation and its neurocognitive characteristics through the patient's development.
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Affiliation(s)
- Alma Y. Galvez-Contreras
- Unidad de Atención en Neurociencias, Departamento de Neurociencias, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Mexico
| | - Ivette Vargas-de la Cruz
- Unidad de Atención en Neurociencias, Departamento de Neurociencias, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Mexico
| | - Beatriz Beltran-Navarro
- Unidad de Atención en Neurociencias, Departamento de Neurociencias, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Mexico
| | - Rocio E. Gonzalez-Castaneda
- Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Mexico
| | - Oscar Gonzalez-Perez
- Laboratorio de Neurociencias, Facultad de Psicología, Universidad de Colima, Colima 28040, Mexico
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28
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Murray AL, Nagin D, Obsuth I, Ribeaud D, Eisner M. Young Adulthood Outcomes of Joint Mental Health Trajectories: A Group-Based Trajectory Model Analysis of a 13-Year Longitudinal Cohort Study. Child Psychiatry Hum Dev 2022; 53:1083-1096. [PMID: 34059956 PMCID: PMC9470602 DOI: 10.1007/s10578-021-01193-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/17/2021] [Indexed: 11/21/2022]
Abstract
Developmental trajectories of common mental health issues such as ADHD symptoms, internalising problems, and externalising problems can often be usefully summarised in terms of a small number of 'developmental subtypes' (e.g., 'childhood onset', 'adolescent onset') that may differ in their profiles or levels of clinically meaningful variables such as etiological risk factors. However, given the strong tendency for symptoms in these domains to co-occur, it is important to consider not only developmental subtypes in each domain individually, but also the joint developmental subtypes defined by symptoms trajectories in all three domains together (e.g., 'late onset multimorbid', 'pure internalising', 'early onset multimorbid'). Previous research has illuminated the joint developmental subtypes of ADHD symptoms, internalising problems, and externalising problems that emerge from normative longitudinal data using methods such as group-based trajectory modelling, as well as predictors of membership in these developmental subtypes. However, information on the long-term outcomes of developmental subtype membership is critical to illuminate the likely nature and intensity of support needs required for individuals whose trajectories fit different developmental subtypes. We, therefore, evaluated the relations between developmental subtypes previously derived using group-based trajectory modelling in the z-proso study (n = 1620 with trajectory data at ages 7, 8, 9, 10, 11, 12, 13, 15) and early adulthood outcomes. Individuals with multimorbid trajectories but not 'pure' internalising problem elevations showed higher levels of social exclusion and delinquency at age 20. These associations held irrespective of the specific developmental course of symptoms (e.g., early versus late onset versus remitting). There was also some evidence that intimate partner violence acts as a form of heterotypic continuity for earlier externalising problems. Results underline the need for early intervention to address the pathways that lead to social exclusion and delinquency among young people with multiple co-occurring mental health issues.
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Affiliation(s)
| | | | - Ingrid Obsuth
- Clinical Psychology Department, University of Edinburgh, Edinburgh, UK
| | - Denis Ribeaud
- Jacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland
| | - Manuel Eisner
- Jacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland
- Institute of Criminology, University of Cambridge, Cambridge, UK
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29
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Li Y, Sun H, Huang Y, Yin A, Zhang L, Han J, Lyu Y, Xu X, Zhai Y, Sun H, Wang P, Zhao J, Sun S, Dong H, Zhu F, Wang Q, Augusto Rohde L, Xie X, Sun X, Xiong L. Gut metagenomic characteristics of ADHD reveal low Bacteroides ovatus-associated host cognitive impairment. Gut Microbes 2022; 14:2125747. [PMID: 36128620 PMCID: PMC9519028 DOI: 10.1080/19490976.2022.2125747] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a highly heterogeneous psychiatric disorder that can have three phenotypical presentations: inattentive (I-ADHD), hyperactive-impulsive (HI-ADHD), and combined (C-ADHD). Environmental factors correlated with the gut microbiota community have been implicated in the development of ADHD. However, whether different ADHD symptomatic presentations are associated with distinct microbiota compositions and whether patients could benefit from the correction of aberrant bacterial colonization are still largely unclear. We carried out metagenomic shotgun analysis with 207 human fecal samples to characterize the gut microbial profiles of patients with ADHD grouped according to their phenotypical presentation. Then, we transplanted the candidate low-abundance bacteria identified in patient subgroups into ADHD rats and evaluated ADHD-associated behaviors and neuronal activation in these rats. Patients with C-ADHD had a different gut microbial composition from that of healthy controls (HCs) (p = .02), but not from that of I-ADHD patients. Eight species became progressively attenuated or enriched when comparing the compositions of HCs to those of I-ADHD and C-ADHD; in particular, the abundance of Bacteroides ovatus was depleted in patients with C-ADHD. In turn, Bacteroides ovatus supplementation ameliorated spatial working memory deficits and reversed θ electroencephalogram rhythm alterations in ADHD rats. In addition, Bacteroides ovatus induced enhanced neuronal activation in the hippocampal CA1 subregion. These findings indicate that gut microbial characteristics that are unique to patients with C-ADHD may be masked when considering a more heterogeneous group of patients. We link the gut microbiota to brain function in an ADHD animal model, suggesting the relevance of testing a potential bacteria-based intervention for some aspects of ADHD.
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Affiliation(s)
- Yan Li
- Department of Anesthesiology and Perioperative Medicine & Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China,Department of Anesthesiology and Perioperative Medicine, Xijing Hospital, the Fourth Military Medical University, Xi’an, China,CONTACT Yan Li Department of Anesthesiology and Perioperative Medicine & Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University; Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Haiting Sun
- Department of Pediatrics, Xijing Hospital, the Fourth Military Medical University, Xi’an, China
| | | | - Anqi Yin
- Department of Anesthesiology and Perioperative Medicine, Xijing Hospital, the Fourth Military Medical University, Xi’an, China
| | - Linjuan Zhang
- Department of Anesthesiology and Perioperative Medicine & Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Jiao Han
- Department of Anesthesiology and Perioperative Medicine & Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yixuan Lyu
- Department of Anesthesiology and Perioperative Medicine & Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xiangzhao Xu
- Department of Anesthesiology and Perioperative Medicine & Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yifang Zhai
- Department of Anesthesiology and Perioperative Medicine & Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Huan Sun
- Department of Anesthesiology and Perioperative Medicine & Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Ping Wang
- Department of Pediatrics, Xijing Hospital, the Fourth Military Medical University, Xi’an, China
| | | | | | - Hailong Dong
- Department of Anesthesiology and Perioperative Medicine, Xijing Hospital, the Fourth Military Medical University, Xi’an, China
| | - Feng Zhu
- Department of Anesthesiology and Perioperative Medicine & Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Qiang Wang
- Department of Anesthesiology and Perioperative Medicine & Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Luis Augusto Rohde
- ADHD and Developmental Psychiatry Programs, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Brazil
| | - Xuefeng Xie
- BGI-Sanya, Sanya, China,Xuefeng Xie BGI-Sanya, Sanya, China
| | - Xin Sun
- Department of Pediatrics, Xijing Hospital, the Fourth Military Medical University, Xi’an, China,Xin Sun Department of Pediatrics, Xijing Hospital the Fourth Military Medical University, Xi’an, China
| | - Lize Xiong
- Translational Research Institute of Brain and Brain-Like Intelligence & Department of Anesthesiology and Perioperative Medicine, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai, China,Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Shanghai, China,Lize Xiong Translational Research Institute of Brain and Brain-Like Intelligence & Department of Anesthesiology and Perioperative Medicine Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Shanghai, China
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30
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Lahey BB, Tong L, Pierce B, Hedeker D, Berman MG, Cardenas-Iniguez C, Moore TM, Applegate B, Tiemeier H, Kaczkurkin AN. Associations of polygenic risk for attention-deficit/hyperactivity disorder with general and specific dimensions of childhood psychological problems and facets of impulsivity. J Psychiatr Res 2022; 152:187-193. [PMID: 35752070 PMCID: PMC10001434 DOI: 10.1016/j.jpsychires.2022.06.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 06/07/2022] [Accepted: 06/10/2022] [Indexed: 11/24/2022]
Abstract
A polygenic risk score (PRS) for attention-deficit/hyperactivity disorder (ADHD) has been found to be associated with ADHD in multiple studies, but also with many other dimensions of problems. Little is known, however, about the processes underlying these transdiagnostic associations. Using data from the baseline and 1-year follow-up assessments of 9- to 10-year-old children in the Adolescent Brain Cognitive Development™ (ABCD©) Study, associations were assessed between an ADHD PRS and both general and specific factors of psychological problems defined in bifactor modeling. Additionally, prospective mediated paths were tested from the ADHD PRS to dimensions of problems in the follow-up assessment through baseline measures of executive functioning (EF) and two facets of impulsivity: lower perseverance and greater impulsiveness in the presence of surgent positive emotions. Previous findings of modest but significant direct associations of the ADHD PRS with the general factor of psychological problems were replicated in both assessments in 4,483 children of European ancestry. In addition, significant statistical mediation was found from the ADHD PRS to the general factor, specific ADHD, and conduct problems in the follow-up assessment through each of the two facets of impulsivity. In contrast, EF did not statistically mediate associations between the ADHD PRS and psychological problems. These results suggest that polygenic risk transdiagnostically influences both psychological problems and facets of impulsivity, perhaps partly through indirect pathways via facets of impulsivity.
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Affiliation(s)
- Benjamin B Lahey
- Department of Public Health Sciences, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL, 60637, USA.
| | - Lin Tong
- Department of Public Health Sciences, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL, 60637, USA
| | - Brandon Pierce
- Department of Public Health Sciences, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL, 60637, USA
| | - Donald Hedeker
- Department of Public Health Sciences, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL, 60637, USA
| | - Marc G Berman
- Department of Psychology, University of Chicago, 5848 S University Ave, Chicago, IL, 60637, USA.
| | - Carlos Cardenas-Iniguez
- Keck School of Medicine, University of Southern California, 1975 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Tyler M Moore
- Department of Psychiatry, University of Pennsylvania School of Medicine, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA.
| | - Brooks Applegate
- Department of Educational Leadership, Research & Technology, Western Michigan University, 1903 West Michigan Avenue, Kalamazoo, MI, 49008, USA.
| | - Henning Tiemeier
- Chan School of Public Health, Harvard University, 677 Huntington Avenue, Boston, MA, 02215, USA.
| | - Antonia N Kaczkurkin
- Department of Psychology, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN, 37240-7817, USA.
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31
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Buitelaar J, Bölte S, Brandeis D, Caye A, Christmann N, Cortese S, Coghill D, Faraone SV, Franke B, Gleitz M, Greven CU, Kooij S, Leffa DT, Rommelse N, Newcorn JH, Polanczyk GV, Rohde LA, Simonoff E, Stein M, Vitiello B, Yazgan Y, Roesler M, Doepfner M, Banaschewski T. Toward Precision Medicine in ADHD. Front Behav Neurosci 2022; 16:900981. [PMID: 35874653 PMCID: PMC9299434 DOI: 10.3389/fnbeh.2022.900981] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 05/16/2022] [Indexed: 11/17/2022] Open
Abstract
Attention-Deficit Hyperactivity Disorder (ADHD) is a complex and heterogeneous neurodevelopmental condition for which curative treatments are lacking. Whilst pharmacological treatments are generally effective and safe, there is considerable inter-individual variability among patients regarding treatment response, required dose, and tolerability. Many of the non-pharmacological treatments, which are preferred to drug-treatment by some patients, either lack efficacy for core symptoms or are associated with small effect sizes. No evidence-based decision tools are currently available to allocate pharmacological or psychosocial treatments based on the patient's clinical, environmental, cognitive, genetic, or biological characteristics. We systematically reviewed potential biomarkers that may help in diagnosing ADHD and/or stratifying ADHD into more homogeneous subgroups and/or predict clinical course, treatment response, and long-term outcome across the lifespan. Most work involved exploratory studies with cognitive, actigraphic and EEG diagnostic markers to predict ADHD, along with relatively few studies exploring markers to subtype ADHD and predict response to treatment. There is a critical need for multisite prospective carefully designed experimentally controlled or observational studies to identify biomarkers that index inter-individual variability and/or predict treatment response.
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Affiliation(s)
- Jan Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands.,Karakter Child and Adolescent Psychiatry University Center, Nijmegen, Netherlands
| | - Sven Bölte
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet, Solna, Sweden.,Child and Adolescent Psychiatry, Stockholm Health Care Services, Stockholm, Sweden.,Curtin Autism Research Group, School of Occupational Therapy, Social Work and Speech Pathology, Curtin University, Perth, WA, Australia
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.,Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Arthur Caye
- Department of Psychiatry, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil
| | - Nina Christmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Samuele Cortese
- Centre for Innovation in Mental Health, Academic Unit of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, United Kingdom.,Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, United Kingdom.,Solent National Health System Trust, Southampton, United Kingdom.,Hassenfeld Children's Hospital at NYU Langone, New York University Child Study Center, New York, NY, United States.,Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, United Kingdom
| | - David Coghill
- Departments of Paediatrics and Psychiatry, Royal Children's Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Stephen V Faraone
- Departments of Psychiatry, Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York, NY, United States
| | - Barbara Franke
- Departments of Human Genetics and Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Markus Gleitz
- Medice Arzneimittel Pütter GmbH & Co. KG, Iserlohn, Germany
| | - Corina U Greven
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, Netherlands.,Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands.,King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
| | - Sandra Kooij
- Amsterdam University Medical Center, Location VUMc, Amsterdam, Netherlands.,PsyQ, Expertise Center Adult ADHD, The Hague, Netherlands
| | - Douglas Teixeira Leffa
- Department of Psychiatry, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil
| | - Nanda Rommelse
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, Netherlands.,Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Jeffrey H Newcorn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Guilherme V Polanczyk
- Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Luis Augusto Rohde
- National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil.,ADHD Outpatient Program and Developmental Psychiatry Program, Hospital de Clinica de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Emily Simonoff
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Mark Stein
- Department of Psychiatry and Behavioral Sciences, Seattle, WA, United States
| | - Benedetto Vitiello
- Department of Public Health and Pediatric Sciences, Section of Child and Adolescent Neuropsychiatry, University of Turin, Turin, Italy.,Department of Public Health, Johns Hopkins University, Baltimore, MA, United States
| | - Yanki Yazgan
- GuzelGunler Clinic, Istanbul, Turkey.,Yale Child Study Center, New Haven, CT, United States
| | - Michael Roesler
- Institute for Forensic Psychology and Psychiatry, Neurocenter, Saarland, Germany
| | - Manfred Doepfner
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Medical Faculty of the University of Cologne, Cologne, Germany.,School for Child and Adolescent Cognitive Behavioural Therapy, University Hospital of Cologne, Cologne, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
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32
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Mayes SD, Waschbusch DA, Mattison RE, Kallus R, Baweja R, Fernandez-Mendoza J, Calhoun SL. Stability of Sluggish Cognitive Tempo Compared to Externalizing and Internalizing Parent Symptom Ratings from Age 9 to 8-Years Follow-up in a Population-Based Sample. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2022. [DOI: 10.1007/s10862-022-09977-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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33
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Fateh AA, Huang W, Mo T, Wang X, Luo Y, Yang B, Smahi A, Fang D, Zhang L, Meng X, Zeng H. Abnormal Insular Dynamic Functional Connectivity and Its Relation to Social Dysfunctioning in Children With Attention Deficit/Hyperactivity Disorder. Front Neurosci 2022; 16:890596. [PMID: 35712452 PMCID: PMC9197452 DOI: 10.3389/fnins.2022.890596] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 05/09/2022] [Indexed: 11/29/2022] Open
Abstract
Anomalies in large-scale cognitive control networks impacting social attention abilities are hypothesized to be the cause of attention deficit hyperactivity disorder (ADHD). The precise nature of abnormal brain functional connectivity (FC) dynamics including other regions, on the other hand, is unknown. The concept that insular dynamic FC (dFC) among distinct brain regions is dysregulated in children with ADHD was evaluated using Insular subregions, and we studied how these dysregulations lead to social dysfunctioning. Data from 30 children with ADHD and 28 healthy controls (HCs) were evaluated using dynamic resting state functional magnetic resonance imaging (rs-fMRI). We evaluated the dFC within six subdivisions, namely both left and right dorsal anterior insula (dAI), ventral anterior insula (vAI), and posterior insula (PI). Using the insular sub-regions as seeds, we performed group comparison between the two groups. To do so, two sample t-tests were used, followed by post-hoc t-tests. Compared to the HCs, patients with ADHD exhibited decreased dFC values between right dAI and the left middle frontal gyrus, left postcentral gyrus and right of cerebellum crus, respectively. Results also showed a decreased dFC between left dAI and thalamus, left vAI and left precuneus and left PI with temporal pole. From the standpoint of the dynamic functional connectivity of insular subregions, our findings add to the growing body of evidence on brain dysfunction in ADHD. This research adds to our understanding of the neurocognitive mechanisms behind social functioning deficits in ADHD. Future ADHD research could benefit from merging the dFC approach with task-related fMRI and non-invasive brain stimulation, which could aid in the diagnosis and treatment of the disorder.
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Affiliation(s)
- Ahmed Ameen Fateh
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Wenxian Huang
- Children's Healthcare, Mental Health Center, Shenzhen Children's Hospital, Shenzhen, China
| | - Tong Mo
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Xiaoyu Wang
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Yi Luo
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Binrang Yang
- Children's Healthcare, Mental Health Center, Shenzhen Children's Hospital, Shenzhen, China
| | - Abla Smahi
- Shenzhen Graduate School, Peking University, Shenzhen, China
| | - Diangang Fang
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Linlin Zhang
- Children's Healthcare, Mental Health Center, Shenzhen Children's Hospital, Shenzhen, China
| | - Xianlei Meng
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Hongwu Zeng
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
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34
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Meyer J, Alaie I, Ramklint M, Isaksson J. Associated predictors of functional impairment among adolescents with ADHD-a cross-sectional study. Child Adolesc Psychiatry Ment Health 2022; 16:29. [PMID: 35382854 PMCID: PMC8985377 DOI: 10.1186/s13034-022-00463-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 03/24/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) in adolescence is associated with functional impairment in several domains of life. To enable development of interventions that more effectively target functional impairment in this age group, the associations between clinical characteristics and impairment need to be clarified. The aim of this study was to investigate the associations between ADHD and functional impairment, if they varied by sex, and the potential impact of comorbid psychiatric symptoms on the associations. METHODS This was a cross-sectional study including adolescents with ADHD (n = 164) and a reference group of adolescents without ADHD (n = 106). Self-ratings and parental ratings of functional impairment in different life domains were used as outcomes in all analyses. Differences between groups were investigated with comparative analyses. General linear models (GLMs) were used to explore associations between ADHD symptoms and functional impairment in adolescents with ADHD, while adjusting for of comorbid symptoms, sex, and medication. RESULTS Adolescents with ADHD displayed higher levels of functional impairment than peers without ADHD, and girls with ADHD rated higher impairment than their male counterparts. The combined ADHD presentation was associated with the highest levels of self-reported impairment, while parental ratings indicated comparable levels of overall impairment across presentations. In the adjusted GLMs, symptoms of inattention were strongly associated with self- and parent-rated impairment in school, but symptoms of hyperactivity/impulsivity were not, whereas symptoms of both inattention and hyperactivity/impulsivity were modestly associated with self-rated impairment with friends. Further, both emotional and conduct problems were associated with impairment in daily life. CONCLUSIONS Our results suggest that attention difficulties, in particular, seem to impair academic functioning in adolescents with ADHD, and interventions targeting such difficulties are warranted. In addition, comorbid symptoms need to be assessed and treated, and self-reports of functioning should be included in research and clinical practice involving adolescents.
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Affiliation(s)
- Jenny Meyer
- Child and Adolescent Psychiatry Unit, Department of Medical Sciences, Uppsala University, 751 85, Uppsala, Uppsala, Sweden.
| | - Iman Alaie
- grid.8993.b0000 0004 1936 9457Child and Adolescent Psychiatry Unit, Department of Medical Sciences, Uppsala University, 751 85 Uppsala, Uppsala, Sweden ,grid.4714.60000 0004 1937 0626Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Mia Ramklint
- grid.8993.b0000 0004 1936 9457Child and Adolescent Psychiatry Unit, Department of Medical Sciences, Uppsala University, 751 85 Uppsala, Uppsala, Sweden
| | - Johan Isaksson
- grid.8993.b0000 0004 1936 9457Child and Adolescent Psychiatry Unit, Department of Medical Sciences, Uppsala University, 751 85 Uppsala, Uppsala, Sweden ,grid.4714.60000 0004 1937 0626Centre for Psychiatry Research, Department of Women’s and Children’s Health, Karolinska Institute Centre of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden
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35
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Pacheco J, Garvey MA, Sarampote CS, Cohen ED, Murphy ER, Friedman-Hill SR. Annual Research Review: The contributions of the RDoC research framework on understanding the neurodevelopmental origins, progression and treatment of mental illnesses. J Child Psychol Psychiatry 2022; 63:360-376. [PMID: 34979592 PMCID: PMC8940667 DOI: 10.1111/jcpp.13543] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/29/2021] [Indexed: 12/22/2022]
Abstract
The National Institute of Mental Health (NIMH) proposed the Research Domain Criteria (RDoC) initiative as an alternate way to organize research of mental illnesses, by looking at dimensions of functioning rather than being tied to categorical diagnoses. This paper briefly discusses the motivation for and organization of RDoC, and then explores the NIMH portfolio and recent work to monitor the utility and progress that RDoC has afforded developmental research. To examine how RDoC has influenced the NIMH developmental research portfolio over the last decade, we employed a natural language processing algorithm to identify the number of developmental science grants classified as incorporating an RDoC approach. Additional portfolio analyses examine temporal trends in funded RDoC-relevant grants, publications and citations, and research training opportunities. Reflecting on how RDoC has influenced the focus of grant applications, we highlight examples from research on Attention-Deficit Hyperactivity Disorder (ADHD), childhood irritability, and Autism Spectrum Disorder (ASD). Lastly, we consider how the dimensional and transdiagnostic approaches emphasized in RDoC have facilitated research on personalized intervention for heterogeneous disorders and preventive/early interventions targeting emergent or subthreshold psychopathology.
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Affiliation(s)
- Jennifer Pacheco
- Division of Translational Research, National Institute of Mental Health
- RDoC Unit, National Institute of Mental Health
| | | | | | - Elan D. Cohen
- Office of Science Policy, Planning, and Communications, National Institute of Mental Health
| | - Eric R. Murphy
- Division of Translational Research, National Institute of Mental Health
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36
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Auerbach RP. RDoC and the developmental origins of psychiatric disorders: How did we get here and where are we going? J Child Psychol Psychiatry 2022; 63:377-380. [PMID: 35133013 DOI: 10.1111/jcpp.13582] [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] [Accepted: 01/12/2022] [Indexed: 11/28/2022]
Abstract
About a decade ago, the National Institute of Mental Health (NIMH) proposed an innovative framework, the Research Domain Criteria (RDoC), to classify psychiatric disorders. This complementary approach has been used with existing diagnostic systems to identify transdiagnostic factors that inform early detection of mental health disturbances and critically, provide novel targets for interventions. An additional goal, however, has been to clarify developmental processes and illness trajectories by operationalizing dimensional constructs during sensitive periods of neurofunctional development to capture the early emergence of behavioral alterations and impairment. As developmental factors are inherent to all RDoC systems and the units of analysis therein, NIMH shepherded developmental-oriented research with targeted funding opportunity announcements. This resulting work has highlighted promising phenotypes and biological markers related to psychiatric illness across the lifespan.
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Affiliation(s)
- Randy P Auerbach
- Department of Psychiatry, Columbia University, New York, NY, USA.,Division of Clinical Developmental Neuroscience, Sackler Institute, New York, NY, USA.,Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA
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37
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So FK, Chavira D, Lee SS. ADHD and ODD Dimensions: Time Varying Prediction of Internalizing Problems from Childhood to Adolescence. J Atten Disord 2022; 26:932-941. [PMID: 34632828 DOI: 10.1177/10870547211050947] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Although childhood ADHD is a risk factor for internalizing problems, it consists of separable inattention and hyperactivity dimensions that differentially predict outcomes. Oppositional defiant disorder also consists of separable dimensions (i.e., irritable, oppositional), co-occurs with ADHD, and predicts internalizing outcomes. To discern independent associations with internalizing problems, dimensions must be considered simultaneously. METHODS Controlling for age, sex, and race, we tested inattention, hyperactivity, irritability, and oppositionality as time-varying predictors of 6 to 7-year prospective change in parent- and teacher-rated internalizing problems in 230 ethnically- diverse (50% Caucasian) 5 to 10 year old youth (M = 7.4 years, 68% male) with (n = 120) and without ADHD (n = 110). RESULTS Escalating inattention and irritability, but not hyperactivity and oppositionality, uniquely predicted internalizing problems. CONCLUSION These findings suggest that inattention and irritability are unique risk factors for later internalizing problems. These dimensions may catalyze internalizing problems across development and constitute important intervention targets.
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Affiliation(s)
- Felix K So
- University of California, Los Angeles, USA
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38
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Martin CP, Shoulberg EK, Hoza B. The Developmental Course of Teacher-Rated ADHD Symptom Levels in an Early Childhood Community Sample. J Atten Disord 2022; 26:456-466. [PMID: 33660546 DOI: 10.1177/1087054721997561] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE This study examined trajectories of inattention and hyperactivity/impulsivity symptom levels across one preschool year and explored variation in trajectories by age, sex, and end-of-year impairment. METHOD Participants were 261 preschoolers (87% Head Start; 59% Caucasian; 53% boys; Mage = 3.97 years). Teachers rated ADHD symptom levels four times throughout one academic year. RESULTS Results showed a course of increasing inattention that decelerated over time and steadily increasing hyperactivity/impulsivity. Group-based finite mixture modeling revealed three trajectories of inattention: stable low (57%), change (32%), and stable high (11%), as well as three trajectories of hyperactivity/impulsivity: stable low (63%), increasing (26%), and stable high (11%). Compared to children with increasing or changing symptoms levels, children with stable high levels were more impaired and children with stable low symptom levels were less impaired. CONCLUSION Findings suggest a "wait and see" approach to treatment may miss an important opportunity for early intervention.
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39
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Martel MM, Elkins AR, Eng AG, Goh PK, Bansal PS, Smith-Thomas TE, Thaxton MH, Ryabinin P, Mooney MA, Gustafsson HC, Karalunas SL, Nigg JT. Longitudinal Temperament Pathways to ADHD Between Childhood and Adolescence. Res Child Adolesc Psychopathol 2022; 50:1055-1066. [PMID: 35102487 PMCID: PMC9680910 DOI: 10.1007/s10802-022-00902-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/17/2022] [Indexed: 10/19/2022]
Abstract
The current investigation extended prior cross-sectional mapping of etiological factors, transdiagnostic effortful and affective traits, and ADHD symptoms to longitudinal pathways extending from two etiological domains: polygenic and prenatal risk. Hypotheses were (1) genetic risk for ADHD would be related to inattentive ADHD symptoms in adolescence and mediated by childhood effortful control; (2) prenatal smoking would be related to hyperactive-impulsive ADHD symptoms during childhood and mediated by childhood surgency; and (3) there would be age-related variation, such that mediation of genetic risk would be larger for older than younger ages, whereas mediation of prenatal risk would be larger in earlier childhood than at later ages. Participants were 849 children drawn from the Oregon ADHD-1000 Cohort, which used a case control sample and an accelerated longitudinal design to track development from childhood (at year 1 ages 7-13) through adolescence (at year 6 ages 13-19). Results showed the mediational pathway from prenatal smoking through surgency to hyperactivity-impulsivity at Year 1 was significant (indirect effect estimate = .053, p < .01). The mediational pathway from polygenic risk through effortful control to inattention at Year 6 was also significant (indirect effect estimate = .084, p < .01). Both results were independent of the association between inattention and hyperactivity-impulsivity and control for the alternative etiological input and held across parent- and teacher-report of ADHD symptoms. In line with dual pathway models of ADHD, early prenatal risk for hyperactivity-impulsivity appears to operate through surgency, while polygenic genetic risk for inattention appears mediated by effortful control.
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40
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Sibley MH, Arnold LE, Swanson JM, Hechtman LT, Kennedy TM, Owens E, Molina BS, Jensen PS, Hinshaw SP, Roy A, Chronis-Tuscano A, Newcorn JH, Rohde LA. Variable Patterns of Remission From ADHD in the Multimodal Treatment Study of ADHD. Am J Psychiatry 2022; 179:142-151. [PMID: 34384227 PMCID: PMC8810708 DOI: 10.1176/appi.ajp.2021.21010032] [Citation(s) in RCA: 115] [Impact Index Per Article: 57.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE It is estimated that childhood attention deficit hyperactivity disorder (ADHD) remits by adulthood in approximately 50% of cases; however, this conclusion is typically based on single endpoints, failing to consider longitudinal patterns of ADHD expression. The authors investigated the extent to which children with ADHD experience recovery and variable patterns of remission by adulthood. METHODS Children with ADHD (N=558) in the Multimodal Treatment Study of ADHD (MTA) underwent eight assessments over follow-ups ranging from 2 years (mean age, 10.44 years) to 16 years (mean age, 25.12 years) after baseline. The authors identified participants with fully remitted, partially remitted, and persistent ADHD at each time point on the basis of parent, teacher, and self-reports of ADHD symptoms and impairment, treatment utilization, and substance use and mental disorders. Longitudinal patterns of remission and persistence were identified that considered context and timing. RESULTS Approximately 30% of children with ADHD experienced full remission at some point during the follow-up period; however, a majority of them (60%) experienced recurrence of ADHD after the initial period of remission. Only 9.1% of the sample demonstrated recovery (sustained remission) by study endpoint, and only 10.8% demonstrated stable ADHD persistence across study time points. Most participants with ADHD (63.8%) had fluctuating periods of remission and recurrence over time. CONCLUSIONS The MTA findings challenge the notion that approximately 50% of children with ADHD outgrow the disorder by adulthood. Most cases demonstrated fluctuating symptoms between childhood and young adulthood. Although intermittent periods of remission can be expected in most cases, 90% of children with ADHD in MTA continued to experience residual symptoms into young adulthood.
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Affiliation(s)
- Margaret H. Sibley
- Department of Psychiatry & Behavioral Sciences, University of Washington School of Medicine, Seattle Children’s Research Institute
| | - L. Eugene Arnold
- Department of Psychiatry and Behavioral Health, Ohio State University, Nisonger Center, Columbus Ohio
| | - James M. Swanson
- Child Development Center, School of Medicine, University of California, Irvine
| | - Lily T. Hechtman
- Division of Child Psychiatry, McGill University, Montreal Children’s Hospital, Montreal, Quebec, Canada
| | - Traci M. Kennedy
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | - Elizabeth Owens
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
| | | | | | - Stephen P. Hinshaw
- Department of Psychology, University of California, Berkeley, Department of Psychiatry & Behavioral Sciences, University of California, San Francisco
| | | | | | - Jeffrey H. Newcorn
- Department of Psychiatry & Pediatrics, Icahn School of Medicine at Mount Sinai
| | - Luis A. Rohde
- ADHD and Developmental Psychiatry Programs, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul
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41
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Murray AL, Eisner M, Nagin D, Ribeaud D. A multi-trajectory analysis of commonly co-occurring mental health issues across childhood and adolescence. Eur Child Adolesc Psychiatry 2022; 31:145-159. [PMID: 33200338 PMCID: PMC8816777 DOI: 10.1007/s00787-020-01679-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 10/28/2020] [Indexed: 12/03/2022]
Abstract
Developmental trajectories of mental health issues can often be usefully summarised in a small number of clinically meaningful subtypes. Given the high levels of heterotypic and homotypic comorbidity in child and adolescent mental health symptoms, we explored whether it was possible to identify clinically meaningful developmental subtypes of multiple commonly co-occurring mental health issues. We evaluated the combined developmental trajectories of the most common and commonly co-occurring child and adolescent mental health issues: attention-deficit/hyperactivity disorder (ADHD), internalising, and externalising symptoms in a normative sample of youth with data (n = 1620) at ages 7, 8, 9, 10, 11, 12, 13 and 15 using group-based multi-trajectory modelling. Multinomial logistic regression was used to evaluate predictors of group membership. Our optimal model included six trajectory groups, labelled 'unaffected', 'normative maturing', 'internalising', 'multimorbid late onset', 'multimorbid remitting', and 'multimorbid with remitting externalising'. Examining covariates of group membership suggested that males and bully victims tend to have complex mental health profiles; academic achievement and smoking during pregnancy have general associations with mental health irrespective of symptom developmental trajectories or combination; and maternal post-natal depression is primarily related to symptoms that are already in evidence by the beginning of the school years. Results suggest that developmental trajectories of commonly co-occurring mental health issues can be usefully summarised in terms of a small number of developmental subtypes. These subtypes more often than not involve multiple co-occurring mental health issues. Their association with mental health covariates depends on the combination and developmental timing of symptoms in ways that suggest they can be clinically informative.
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Affiliation(s)
- Aja L Murray
- Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
| | - Manuel Eisner
- Institute of Criminology, University of Cambridge, Cambridge, UK
- Jacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland
| | | | - Denis Ribeaud
- Jacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland
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42
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Overgaard KR, Oerbeck B, Friis S, Pripp AH, Aase H, Zeiner P. Predictive validity of attention-deficit/hyperactivity disorder from ages 3 to 5 Years. Eur Child Adolesc Psychiatry 2022; 31:1-10. [PMID: 33677627 PMCID: PMC9343262 DOI: 10.1007/s00787-021-01750-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 02/19/2021] [Indexed: 11/29/2022]
Abstract
We investigated to what extent parent-rated attention-deficit/hyperactivity disorder (ADHD) and impairment at age 3 years predicted elevated ADHD symptoms at age 5 years, and whether teacher-rated ADHD symptoms improved these predictions. This study is part of the longitudinal, population-based Norwegian Mother, Father and Child Cohort Study. Parents of 3-year-old children (n = 1195) were interviewed about ADHD and impairment, and teachers rated child ADHD symptoms by the Strengths and Difficulties Questionnaire or the Early Childhood Inventory-4. At 5 years of age, the children (n = 957) were classified as ADHD-positive or -negative using Conners' Parent Rating Scale. Relying solely on parent-rated ADHD or impairment at age 3 years did moderately well in identifying children with persistent elevation of ADHD symptoms, but gave many false positives (positive predictive values (PPVs): .40-.57). A small group of children (n = 20, 13 boys) scored above cut-off on both parent-rated ADHD and impairment, and teacher-rated ADHD symptoms, although adding teacher-rated ADHD symptoms slightly weakened the predictive power for girls. For this small group, PPVs were .76 for boys and .64 for girls. Limiting follow-up to these few children will miss many children at risk for ADHD. Therefore, we recommend close monitoring also of children with parent-reported ADHD symptoms and/or impairment to avoid delay in providing interventions. Clinicians should also be aware that teachers may miss ADHD symptoms in preschool girls.
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Affiliation(s)
- Kristin Romvig Overgaard
- Division of Mental Health and Addiction, Oslo University Hospital, Pb. 4959 Nydalen, 0424, Oslo, Norway. .,Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Beate Oerbeck
- Division of Mental Health and Addiction, Oslo University Hospital, Pb. 4959 Nydalen, 0424 Oslo, Norway
| | - Svein Friis
- Division of Mental Health and Addiction, Oslo University Hospital, Pb. 4959 Nydalen, 0424 Oslo, Norway ,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Are Hugo Pripp
- Oslo Centre of Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - Heidi Aase
- Department of Child Health and Development, Norwegian Institute of Public Health, Oslo, Norway
| | - Pål Zeiner
- Division of Mental Health and Addiction, Oslo University Hospital, Pb. 4959 Nydalen, 0424 Oslo, Norway ,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Luo Y, Adamek JH, Crocetti D, Mostofsky SH, Ewen JB. Dissociation in Neural Correlates of Hyperactive/Impulsive vs. Inattentive Symptoms in Attention-Deficit/Hyperactivity Disorder. Front Neurosci 2022; 16:893239. [PMID: 35812240 PMCID: PMC9256983 DOI: 10.3389/fnins.2022.893239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 05/31/2022] [Indexed: 11/21/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders characterized in current diagnostic criteria by two dominant symptoms, inattention and hyperactivity/impulsivity. Here, we show that task-related alpha (8-12 Hz) interhemispheric connectivity changes, as assessed during a unimanual finger-tapping task, is correlated with inattentive symptom severity (r = 0.55, p = 0.01) but not with severity of hyperactive/impulsive symptoms. Prior published analyses of the same dataset have already show that alpha event-related desynchronization (ERD) in the hemisphere contralateral to unimanual tapping is related to hyperactive/impulsive symptom severity (r = 0.43, p = 0.04) but not to inattentive symptom severity. Our findings demonstrate a neurobiological dissociation in ADHD symptom severity, with implications for understanding the structure of endophenotypes in the disorder as well as for biomarker development.
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Affiliation(s)
- Yu Luo
- Kennedy Krieger Institute, Baltimore, MD, United States.,School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Jack H Adamek
- Kennedy Krieger Institute, Baltimore, MD, United States
| | | | - Stewart H Mostofsky
- Kennedy Krieger Institute, Baltimore, MD, United States.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.,Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Joshua B Ewen
- Kennedy Krieger Institute, Baltimore, MD, United States.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
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44
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Wang XK, Wang XQ, Yang X, Yuan LX. Gray Matter Network Associated With Attention in Children With Attention Deficit Hyperactivity Disorder. Front Psychiatry 2022; 13:922720. [PMID: 35859604 PMCID: PMC9289184 DOI: 10.3389/fpsyt.2022.922720] [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: 04/18/2022] [Accepted: 06/07/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Attention deficit hyperactivity disorder (ADHD) is one of the most prevalent childhood-onset neurodevelopmental disorders; however, the underlying neural mechanisms for the inattention symptom remain elusive for children with ADHD. At present, the majority of studies have analyzed the structural MRI (sMRI) with the univariate method, which fails to demonstrate the interregional covarying relationship of gray matter (GM) volumes among brain regions. The scaled subprofile model of principal component analysis (SSM-PCA) is a multivariate method, which can detect more robust brain-behavioral phenotype association compared to the univariate analysis method. This study aims to identify the GM network associated with attention in children with ADHD by applying SSM-PCA to the sMRI. METHODS The sMRI of 209 children with ADHD and 209 typically developing controls (TDCs) aged 7-14 years from the ADHD-200 dataset was used for anatomical computation, and the GM volume in each brain region was acquired. Then, SSM-PCA was applied to the GM volumes of all the subjects to capture the GM network of children with ADHD (i.e., ADHD-related pattern). The relationship between the expression of ADHD-related pattern and inattention symptom was further investigated. Finally, the influence of sample size on the analysis of this study was explored. RESULTS The ADHD-related pattern mainly included putamen, pallium, caudate, thalamus, right accumbens, superior/middle/inferior frontal cortex, superior occipital cortex, superior parietal cortex, and left middle occipital cortex. In addition, the expression of the ADHD-related pattern was related to inattention scores measured by the Conners' Parent Rating Scale long version (CPRS-LV; r = 0.25, p = 0.0004) and the DuPaul ADHD Rating Scale IV (ADHD-RS; r = 0.18, p = 0.03). Finally, we found that when the sample size was 252, the results of ADHD-related pattern were relatively reliable. Similarly, the sample size needed to be 162 when exploring the relationship between ADHD-related pattern and behavioral indicator measured by CPRS-LV. CONCLUSION We captured a GM network associated with attention in children with ADHD, which is different from that in adolescents and adults with ADHD. Our findings may shed light on the diverse neural mechanisms of inattention and provide treatment targets for children with ADHD.
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Affiliation(s)
- Xing-Ke Wang
- Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China.,Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Xiu-Qin Wang
- Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China.,Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China.,TMS Center, Deqing Hospital of Hangzhou Normal University, Zhejiang, China
| | - Xue Yang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China.,TMS Center, Deqing Hospital of Hangzhou Normal University, Zhejiang, China
| | - Li-Xia Yuan
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China.,TMS Center, Deqing Hospital of Hangzhou Normal University, Zhejiang, China.,Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
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45
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Longitudinal network model of the co-development of temperament, executive functioning, and psychopathology symptoms in youth with and without ADHD. Dev Psychopathol 2021; 33:1803-1820. [DOI: 10.1017/s0954579421000900] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
AbstractAttention-deficit hyperactivity disorder (ADHD) is a common, chronic, and impairing disorder, yet presentations of ADHD and clinical course are highly heterogeneous. Despite substantial research efforts, both (a) the secondary co-occurrence of ADHD and complicating additional clinical problems and (b) the developmental pathways leading toward or away from recovery through adolescence remain poorly understood. Resolving these requires accounting for transactional influences of a large number of features across development. Here, we applied a longitudinal cross-lagged panel network model to a multimodal, multilevel dataset in a well-characterized sample of 488 children (nADHD = 296) to test Research Domain Criteria initiative-inspired hypotheses about transdiagnostic risk. Network features included Diagnostic and Statistical Manual of Mental Disorders symptoms, trait-based ratings of emotional functioning (temperament), and performance-based measures of cognition. Results confirmed that ADHD symptom domains, temperamental irritability, and working memory are independent transdiagnostic risk factors for psychopathology based on their direct associations with other features across time. ADHD symptoms and working memory each had direct, independent associations with depression. Results also demonstrated tightly linked co-development of ADHD symptoms and temperamental irritability, consistent with the possibility that this type of anger dysregulation is a core feature that is co-expressed as part of the ADHD phenotype for some children.
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46
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Kühl E, Geeraerts SB, Deković M, Schoemaker K, Bunte T, Espy KA, Matthys W. Trajectories of Executive Functions and ADHD Symptoms in Preschoolers and the Role of Negative Parental Discipline. Dev Neuropsychol 2021; 46:555-573. [PMID: 34711098 DOI: 10.1080/87565641.2021.1995736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
In the present study, we investigated whether the longitudinal growth trajectories of executive functions (EF) and Attention-Deficit/Hyperactivity Disorder (ADHD) symptoms are related. In addition, we investigated whether negative discipline moderated these longitudinal relations. The sample consisted of predominantly clinically referred preschoolers (N = 248, age 42-66 months at Time 1; 79.0% boys). Assessment occurred three times: at baseline, at 9 months, and at 18 months. EF was assessed with five EF tasks. ADHD symptoms (Child Behavior Checklist 1.5-5) were reported by parents. Groups of medium to high and low negative discipline were based on mother- and father-reports (Parenting Practices Inventory). Growth curve models showed that EF generally increased and ADHD symptoms generally decreased over time. Parallel process models showed that there was no relation between the change in EF and the change in ADHD symptoms over time, suggesting no co-development. However, higher EF at baseline was related to lower ADHD symptoms at baseline. This was irrespective of whether children were exposed to high or low negative discipline. Overall, the results suggest that, while EF and ADHD symptoms are related, they develop independently across the preschool years.
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Affiliation(s)
- Eva Kühl
- Department of Child and Adolescent Studies, Utrecht University, Utrecht, The Netherlands
| | - Sanne B Geeraerts
- Department of Child and Adolescent Studies, Utrecht University, Utrecht, The Netherlands
| | - Maja Deković
- Department of Child and Adolescent Studies, Utrecht University, Utrecht, The Netherlands
| | - Kim Schoemaker
- Department of Child and Adolescent Studies, Utrecht University, Utrecht, The Netherlands
| | | | - Kimberly A Espy
- Department of Neuroscience, Developmental & Regenerative Biology, College of Sciences, University of Texas at San Antonio and Department of Psychiatry & Behavioral Sciences, Long School of Medicine, University of Texas Health San Antonio, San Antonio, Texas, USA
| | - Walter Matthys
- Department of Child and Adolescent Studies, Utrecht University, Utrecht, The Netherlands.,Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
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47
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Miller M, Iosif AM, Bell LJ, Farquhar-Leicester A, Hatch B, Hill A, Hill MM, Solis E, Young GS, Ozonoff S. Can Familial Risk for ADHD Be Detected in the First Two Years of Life? JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY : THE OFFICIAL JOURNAL FOR THE SOCIETY OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY, AMERICAN PSYCHOLOGICAL ASSOCIATION, DIVISION 53 2021; 50:619-631. [PMID: 31951755 PMCID: PMC7365744 DOI: 10.1080/15374416.2019.1709196] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Objective: We evaluated trajectories of attention-deficit/hyperactivity (ADHD)-relevant behaviors in a sample of infants at high and low familial risk for ADHD who were prospectively evaluated at 12, 18, and 24 months of age.Method: Participants included 43 infants at risk for ADHD based on family history (i.e., diagnosed first-degree relative) and 40 low-risk infants (i.e., no family history of ADHD). Instances of inattention, out-of-seat, and grabbing behavior were coded from video; analogous constructs were rated by examiners unaware of familial risk status after completing structured standardized assessments with the infants/toddlers. At the end of each study visit, examiners solicited parents' concerns about their child's behavior. Differences in ADHD-related behaviors and parent concerns were examined between 12 and 24 months of age.Results: Infants with an older sibling or parent diagnosed with ADHD were distinguishable from infants with no family history of ADHD as early as 12 months of age based on directly observed and examiner reports of behavior, particularly with respect to hyperactive-impulsive behavior. Parents of infants at familial risk for ADHD also reported significantly more behavior/temperament concerns as early as 12 months of age compared to parents of infants at low risk for ADHD.Conclusions: These findings highlight the ability to detect genetic liability for ADHD by the end of the first year of life, suggesting that well-designed family risk studies of ADHD are feasible and may be clinically valuable. They also suggest the potential for earlier detection of risk for ADHD than has previously been possible.
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Affiliation(s)
- Meghan Miller
- Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis
| | - Ana-Maria Iosif
- Department of Public Health Sciences, University of California, Davis
| | - Laura J Bell
- Department of Psychology, University of California, Berkeley
| | | | - Burt Hatch
- Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis
| | - Alesha Hill
- Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis
| | - Monique Moore Hill
- Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis
| | - Erika Solis
- Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis
| | - Gregory S Young
- Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis
| | - Sally Ozonoff
- Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis
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Papadopoulos A, Seguin D, Correa S, Duerden EG. Peer victimization and the association with hippocampal development and working memory in children with ADHD and typically-developing children. Sci Rep 2021; 11:16411. [PMID: 34385508 PMCID: PMC8360960 DOI: 10.1038/s41598-021-95582-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 07/21/2021] [Indexed: 11/18/2022] Open
Abstract
The symptoms of hyperactivity-impulsivity and inattention displayed by children with ADHD put them at risk of experiencing peer victimization. Hippocampal maturation, may reduce a child's vulnerability to the experience of peer victimization, as it has been associated with decreased ADHD symptomatology. Working memory is an important executive function in the formation and maintenance of social relationships, which is often impaired in ADHD. We aimed to evaluate the relationship between problem behaviours, peer victimization, hippocampal morphology, and working memory in children with and without ADHD. 218 typically-developing participants (50.5% male) and 232 participants diagnosed with ADHD (77.6% male) were recruited. The ADHD group was subdivided into inattentive (ADHD-I) or combined (ADHD-C) types. The Child Behavior Checklist measured problem behaviours and peer victimization. Children underwent Magnetic Resonance Imaging (MRI). Hippocampal subfield volumes were obtained using FreeSurfer. The Wechsler Intelligence Scale for Children-fifth edition measured working memory (WM). The ADHD-C group displayed significantly higher levels of problem behaviours and peer victimization (all, p < 0.001), compared to the other groups. Left Cornu Ammonis 3 (CA3) volume was a positive predictor of peer victimization (all, p < 0.013). Left CA3 volume was a positive predictor of WM and left Cornu Ammonis 4 (CA4) volume negatively predicted WM (all, p < 0.025). A cluster analysis revealed that children displaying symptoms of hyperactivity-impulsivity are the most at risk for peer victimization. Interventions focusing on minimizing peer victimization may aid in mitigating adverse downstream effects, and assist in promoting brain health and cognitive function.
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Affiliation(s)
- Alissa Papadopoulos
- Applied Psychology, Faculty of Education, Western University, 1137 Western Rd, London, ON, N6G 1G7, Canada
| | - Diane Seguin
- Physiology and Pharmacology, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - Susana Correa
- Applied Psychology, Faculty of Education, Western University, 1137 Western Rd, London, ON, N6G 1G7, Canada
| | - Emma G Duerden
- Applied Psychology, Faculty of Education, Western University, 1137 Western Rd, London, ON, N6G 1G7, Canada.
- Neuroscience, Schulich School of Medicine and Dentistry, Western University, London, Canada.
- Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Canada.
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Landis TD, Garcia AM, Hart KC, Graziano PA. Differentiating Symptoms of ADHD in Preschoolers: The Role of Emotion Regulation and Executive Function. J Atten Disord 2021; 25:1260-1271. [PMID: 31904270 PMCID: PMC9104514 DOI: 10.1177/1087054719896858] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Objective: This study examined the extent to which individual differences in executive function (EF) and emotion regulation (ER) were uniquely associated with inattention and hyperactivity symptoms of ADHD, respectively. Method: Participants included 249 preschool children with at-risk or clinically elevated levels of externalizing behavior problems (EBPs). Results: Regression analyses were conducted examining the association between EF and ER-as reported by parents/teachers and assessed via child task performance-and hyperactivity and inattention. Even after accounting for IQ, age, sex, and severity of oppositional defiant disorder, greater levels of parent/teacher-reported EF problems and worse EF performance were associated with greater inattention. In addition, better observed ER was associated with lower inattention. Conversely, greater levels of parent/teacher-reported EF problems and worse parent/teacher-reported ER were associated with greater hyperactivity. Conclusion: Our findings suggest that underlying deficits in EF and ER do differentially relate to ADHD symptoms.
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Martel MM, Goh PK, Lee CA, Karalunas SL, Nigg JT. Longitudinal attention-deficit/hyperactivity disorder symptom networks in childhood and adolescence: Key symptoms, stability, and predictive validity. JOURNAL OF ABNORMAL PSYCHOLOGY 2021; 130:562-574. [PMID: 34472891 PMCID: PMC8480395 DOI: 10.1037/abn0000661] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The current study visualized attention-deficit/hyperactivity disorder (ADHD) symptom networks in a longitudinal sample of participants across childhood and adolescence with exploratory examination of age and gender effects. Eight hundred thirty-six children ages 7-13 years were followed annually for 8 years in total. Across parent and teacher report, results suggested "is easily distracted" and "difficulties sustaining attention" as central symptoms across three testing points (i.e., Year 1, Year 3, and Years 5-8 collapsed). "Difficulties following instructions" and "intrudes/interrupts" also emerged as parent-reported central symptoms. Assessment of network structure across the three testing points suggested global robustness of relations among ADHD symptoms from midchildhood into early adolescence. However, relations among symptoms that cause problems in school settings (i.e., being easily distracted) were stronger in teacher-reported than parent-reported networks. When aggregated into a sum score, central symptoms during Year 1 predicted total difficulties related to mental health problems 5 years later just as well as all 18 symptoms. Central symptoms of ADHD may be useful as screeners of future emotional and behavioral difficulties. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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