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Yamashita M, Shou Q, Mizuno Y. Association of chronotype with language and episodic memory processing in children: implications for brain structure. Front Integr Neurosci 2024; 18:1437585. [PMID: 39170667 PMCID: PMC11335642 DOI: 10.3389/fnint.2024.1437585] [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: 05/24/2024] [Accepted: 07/22/2024] [Indexed: 08/23/2024] Open
Abstract
Introduction Chronotype refers to individual preference in circadian cycles and is associated with psychiatric problems. It is mainly classified into early (those who prefer to be active in the morning and sleep and wake up early) and late (those who prefer to be active in the evening and sleep and wake up late) chronotypes. Although previous research has demonstrated associations between chronotype and cognitive function and brain structure in adults, little is known regarding these associations in children. Here, we aimed to investigate the relationship between chronotype and cognitive function in children. Moreover, based on the significant association between chronotype and specific cognitive functions, we extracted regions-of-interest (ROI) and examined the association between chronotype and ROI volumes. Methods Data from 4,493 children (mean age of 143.06 months) from the Adolescent Brain Cognitive Development Study were obtained, wherein chronotype (mid-sleep time on free days corrected for sleep debt on school days) was assessed by the Munich Chronotype Questionnaire. Subsequently, the associations between chronotype, cognitive function, and ROI volumes were evaluated using linear mixed-effects models. Results Behaviorally, chronotype was negatively associated with vocabulary knowledge, reading skills, and episodic memory performance. Based on these associations, the ROI analysis focused on language-related and episodic memory-related areas revealed a negative association between chronotype and left precentral gyrus and right posterior cingulate cortex volumes. Furthermore, the precentral gyrus volume was positively associated with vocabulary knowledge and reading skills, while the posterior cingulate cortex volume was positively associated with episodic memory performance. Discussion These results suggest that children with late chronotype have lower language comprehension and episodic memory and smaller brain volumes in the left precentral gyrus and right posterior cingulate cortex associated with these cognitive functions.
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Affiliation(s)
- Masatoshi Yamashita
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, University of Fukui, Fukui, Japan
| | - Qiulu Shou
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, University of Fukui, Fukui, Japan
| | - Yoshifumi Mizuno
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, University of Fukui, Fukui, Japan
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan
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Holt-Gosselin B, Keding TJ, Rodrigues K, Rueter A, Hendrickson TJ, Perrone A, Byington N, Houghton A, Miranda-Dominguez O, Feczko E, Fair DA, Joormann J, Gee DG. Familial risk for depression moderates neural circuitry in healthy preadolescents to predict adolescent depression symptoms in the Adolescent Brain Cognitive Development (ABCD) Study. Dev Cogn Neurosci 2024; 68:101400. [PMID: 38870601 PMCID: PMC11225685 DOI: 10.1016/j.dcn.2024.101400] [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: 03/06/2024] [Revised: 05/09/2024] [Accepted: 05/31/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND There is an imminent need to identify neural markers during preadolescence that are linked to developing depression during adolescence, especially among youth at elevated familial risk. However, longitudinal studies remain scarce and exhibit mixed findings. Here we aimed to elucidate functional connectivity (FC) patterns among preadolescents that interact with familial depression risk to predict depression two years later. METHODS 9-10 year-olds in the Adolescent Brain Cognitive Development (ABCD) Study were classified as healthy (i.e., no lifetime psychiatric diagnoses) at high familial risk for depression (HR; n=559) or at low familial risk for psychopathology (LR; n=1203). Whole-brain seed-to-voxel resting-state FC patterns with the amygdala, putamen, nucleus accumbens, and caudate were calculated. Multi-level, mixed-effects regression analyses were conducted to test whether FC at ages 9-10 interacted with familial risk to predict depression symptoms at ages 11-12. RESULTS HR youth demonstrated stronger associations between preadolescent FC and adolescent depression symptoms (ps<0.001) as compared to LR youth (ps>0.001), primarily among amygdala/striatal FC with visual and sensory/somatomotor networks. CONCLUSIONS Preadolescent amygdala and striatal FC may be useful biomarkers of adolescent-onset depression, particularly for youth with family histories of depression. This research may point to neurobiologically-informed approaches to prevention and intervention for depression in adolescents.
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Affiliation(s)
- Bailey Holt-Gosselin
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States; Interdepartmental Neuroscience Graduate Program, Yale University School of Medicine, New Haven, CT 06520, United States
| | - Taylor J Keding
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States; Child Study Center, Yale School of Medicine, New Haven, CT 06511, United States
| | - Kathryn Rodrigues
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States
| | - Amanda Rueter
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States
| | - Timothy J Hendrickson
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States
| | - Anders Perrone
- Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Nora Byington
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States
| | - Audrey Houghton
- Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Oscar Miranda-Dominguez
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States; Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Eric Feczko
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States; Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Damien A Fair
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States; Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Jutta Joormann
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States
| | - Dylan G Gee
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States.
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Hartwell M, Bloom M, Elenwo C, Gooch T, Dunn K, Breslin F, Croff JM. Association of prenatal substance exposure and the development of the amygdala, hippocampus, and parahippocampus. J Osteopath Med 2024; 0:jom-2023-0277. [PMID: 38915228 DOI: 10.1515/jom-2023-0277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 04/22/2024] [Indexed: 06/26/2024]
Abstract
CONTEXT Prenatal substance exposure (PSE) can lead to various harmful outcomes for the developing fetus and is linked to many emotional, behavioral, and cognitive difficulties later in life. Therefore, examination of the relationship between the development of associated brain structures and PSE is important for the development of more specific or new preventative methods. OBJECTIVES Our study's primary objective was to examine the relationship between the physical development of the amygdala, hippocampus, and parahippocampus following prenatal alcohol, tobacco, and prescription opioid exposure. METHODS We conducted a cross-sectional analysis of the Adolescent Brain and Cognitive Development (ABCD) Study, a longitudinal neuroimaging study that measures brain morphometry from childhood throughout adolescence. Data were collected from approximately 12,000 children (ages 9 and 10) and parents across 22 sites within the United States. Prenatal opioid, tobacco, and alcohol use was determined through parent self-report of use during pregnancy. We extracted variables assessing the volumetric size (mm3) of the amygdala, hippocampus, and parahippocampal gyrus as well as brain volume, poverty level, age, sex, and race/ethnicity for controls within our adjusted models. We reported sociodemographic characteristics of the sample overall and by children who had PSE. We calculated and reported the means of each of the specific brain regions by substance exposure. Finally, we constructed multivariable regression models to measure the associations between different PSE and the demographic characteristics, total brain volume, and volume of each brain structure. RESULTS Among the total sample, 24.6% had prenatal alcohol exposure, 13.6% had prenatal tobacco exposure, and 1.2% had prenatal opioid exposure. On average, those with prenatal tobacco exposure were found to have a statistically significant smaller parahippocampus. CONCLUSIONS We found a significant association between prenatal tobacco exposure and smaller parahippocampal volume, which may have profound impacts on the livelihood of individuals including motor delays, poor cognitive and behavioral outcomes, and long-term health consequences. Given the cumulative neurodevelopmental effects associated with PSE, we recommend that healthcare providers increase screening rates, detection, and referrals for cessation. Additionally, we recommend that medical associations lobby policymakers to address upstream barriers to the effective identification of at-risk pregnant individuals, specifically, eliminating or significantly reducing punitive legal consequences stemming from state laws concerning prenatal substance use.
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Affiliation(s)
- Micah Hartwell
- Clinical Assistant Professor, Department of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, Tulsa, OK, USA
- Director of Office of Medical Student Research, Office of Medical Student Research, 12373 Oklahoma State University College of Osteopathic Medicine at Cherokee Nation , Tahlequah, OK, USA
| | - Molly Bloom
- Oklahoma State University Center for Health Sciences, Tulsa, OK, USA
| | - Covenant Elenwo
- Office of Medical Student Research, 12373 Oklahoma State University College of Osteopathic Medicine at Cherokee Nation , Tahlequah, OK, USA
| | - Trey Gooch
- Office of Medical Student Research, 12373 Oklahoma State University College of Osteopathic Medicine at Cherokee Nation , Tahlequah, OK, USA
| | - Kelly Dunn
- Clinical Assistant Professor of Psychiatry and Behavioral Science, Department of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, Tulsa, OK, USA
| | - Florence Breslin
- Program Director of Clinical Registry Systems, Department of Rural Health, Oklahoma State University Center for Health Sciences, Tulsa, OK, USA
| | - Julie M Croff
- Executive Director of Clinical and Population Research, National Center for Wellness and Recovery, Tulsa, OK, USA
- Professor, Department of Rural Health, Oklahoma State University Center for Health Sciences, Tulsa, OK, USA
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Miller AP, Baranger DAA, Paul SE, Garavan H, Mackey S, Tapert SF, LeBlanc KH, Agrawal A, Bogdan R. Neuroanatomical variability associated with early substance use initiation: Results from the ABCD Study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.06.24303876. [PMID: 38496425 PMCID: PMC10942495 DOI: 10.1101/2024.03.06.24303876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
The extent to which neuroanatomical variability associated with substance involvement reflects pre-existing risk and/or consequences of substance exposure remains poorly understood. In the Adolescent Brain Cognitive DevelopmentSM (ABCD®) Study, we identify associations between global and regional differences in brain structure and early substance use initiation (i.e., occurring <15 years of age; nsanalytic=6,556-9,804), with evidence that associations precede initiation. Neurodevelopmental variability in brain structure may confer risk for substance involvement.
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Affiliation(s)
- Alex P. Miller
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - David A. A. Baranger
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, United States
| | - Sarah E. Paul
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, United States
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont Lamer College of Medicine, Burlington, VT, United States
| | - Scott Mackey
- Department of Psychiatry, University of Vermont Lamer College of Medicine, Burlington, VT, United States
| | - Susan F. Tapert
- Department of Psychiatry, University of California San Diego, San Diego, CA, United States
| | - Kimberly H. LeBlanc
- Division of Extramural Research, National Institute on Drug Abuse, Bethesda, MA, United States
| | - Arpana Agrawal
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, United States
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Holt-Gosselin B, Keding TJ, Poulin R, Brieant A, Rueter A, Hendrickson TJ, Perrone A, Byington N, Houghton A, Miranda-Dominguez O, Feczko E, Fair DA, Joormann J, Gee DG. Neural Circuit Markers of Familial Risk for Depression Among Healthy Youths in the Adolescent Brain Cognitive Development Study. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:185-195. [PMID: 37182734 PMCID: PMC10640659 DOI: 10.1016/j.bpsc.2023.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 05/01/2023] [Accepted: 05/02/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Family history of depression is a robust predictor of early-onset depression, which may confer risk through alterations in neural circuits that have been implicated in reward and emotional processing. These alterations may be evident in youths who are at familial risk for depression but who do not currently have depression. However, the identification of robust and replicable findings has been hindered by few studies and small sample sizes. In the current study, we sought to identify functional connectivity (FC) patterns associated with familial risk for depression. METHODS Participants included healthy (i.e., no lifetime psychiatric diagnoses) youths at high familial risk for depression (HR) (n = 754; at least one parent with a history of depression) and healthy youths at low familial risk for psychiatric problems (LR) (n = 1745; no parental history of psychopathology) who were 9 to 10 years of age and from the Adolescent Brain Cognitive Development (ABCD) Study sample. We conducted whole-brain seed-to-voxel analyses to examine group differences in resting-state FC with the amygdala, caudate, nucleus accumbens, and putamen. We hypothesized that HR youths would exhibit global amygdala hyperconnectivity and striatal hypoconnectivity patterns primarily driven by maternal risk. RESULTS HR youths exhibited weaker caudate-angular gyrus FC than LR youths (α = 0.04, Cohen's d = 0.17). HR youths with a history of maternal depression specifically exhibited weaker caudate-angular gyrus FC (α = 0.03, Cohen's d = 0.19) as well as weaker caudate-dorsolateral prefrontal cortex FC (α = 0.04, Cohen's d = 0.21) than LR youths. CONCLUSIONS Weaker striatal connectivity may be related to heightened familial risk for depression, primarily driven by maternal history. Identifying brain-based markers of depression risk in youths can inform approaches to improving early detection, diagnosis, and treatment.
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Affiliation(s)
- Bailey Holt-Gosselin
- Department of Psychology, Yale University, New Haven, Connecticut; Interdepartmental Neuroscience Graduate Program, Yale University School of Medicine, New Haven, Connecticut
| | - Taylor J Keding
- Department of Psychology, Yale University, New Haven, Connecticut; Child Study Center, Yale School of Medicine, New Haven, Connecticut
| | - Rhayna Poulin
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Alexis Brieant
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Amanda Rueter
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Timothy J Hendrickson
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Anders Perrone
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Nora Byington
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Audrey Houghton
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | | | - Eric Feczko
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Damien A Fair
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Jutta Joormann
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Dylan G Gee
- Department of Psychology, Yale University, New Haven, Connecticut.
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Gaus R, Pölsterl S, Greimel E, Schulte‐Körne G, Wachinger C. Can we diagnose mental disorders in children? A large-scale assessment of machine learning on structural neuroimaging of 6916 children in the adolescent brain cognitive development study. JCPP ADVANCES 2023; 3:e12184. [PMID: 38054056 PMCID: PMC10694548 DOI: 10.1002/jcv2.12184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 05/09/2023] [Indexed: 12/07/2023] Open
Abstract
Background Prediction of mental disorders based on neuroimaging is an emerging area of research with promising first results in adults. However, research on the unique demographic of children is underrepresented and it is doubtful whether findings obtained on adults can be transferred to children. Methods Using data from 6916 children aged 9-10 in the multicenter Adolescent Brain Cognitive Development study, we extracted 136 regional volume and thickness measures from structural magnetic resonance images to rigorously evaluate the capabilities of machine learning to predict 10 different psychiatric disorders: major depressive disorder, bipolar disorder (BD), psychotic symptoms, attention deficit hyperactivity disorder (ADHD), oppositional defiant disorder, conduct disorder, post-traumatic stress disorder, obsessive-compulsive disorder, generalized anxiety disorder, and social anxiety disorder. For each disorder, we performed cross-validation and assessed whether models discovered a true pattern in the data via permutation testing. Results Two of 10 disorders can be detected with statistical significance when using advanced models that (i) allow for non-linear relationships between neuroanatomy and disorder, (ii) model interdependencies between disorders, and (iii) avoid confounding due to sociodemographic factors: ADHD (AUROC = 0.567, p = 0.002) and BD (AUROC = 0.551, p = 0.002). In contrast, traditional models perform consistently worse and predict only ADHD with statistical significance (AUROC = 0.529, p = 0.002). Conclusion While the modest absolute classification performance does not warrant application in the clinic, our results provide empirical evidence that embracing and explicitly accounting for the complexities of mental disorders via advanced machine learning models can discover patterns that would remain hidden with traditional models.
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Affiliation(s)
- Richard Gaus
- The Lab for Artificial Intelligence in Medical Imaging (AI‐Med)Department of Child and Adolescent PsychiatryLudwig‐Maximilians‐UniversitätMunichGermany
| | - Sebastian Pölsterl
- The Lab for Artificial Intelligence in Medical Imaging (AI‐Med)Department of Child and Adolescent PsychiatryLudwig‐Maximilians‐UniversitätMunichGermany
| | - Ellen Greimel
- Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyUniversity HospitalLudwig‐Maximilians‐UniversitätMunichGermany
| | - Gerd Schulte‐Körne
- Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyUniversity HospitalLudwig‐Maximilians‐UniversitätMunichGermany
| | - Christian Wachinger
- The Lab for Artificial Intelligence in Medical Imaging (AI‐Med)Department of Child and Adolescent PsychiatryLudwig‐Maximilians‐UniversitätMunichGermany
- Department of RadiologyTechnical University of MunichSchool of MedicineMunichGermany
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Li X, Motwani C, Cao M, Martin E, Halperin JM. Working Memory-Related Neurofunctional Correlates Associated with the Frontal Lobe in Children with Familial vs. Non-Familial Attention Deficit/Hyperactivity Disorder. Brain Sci 2023; 13:1469. [PMID: 37891836 PMCID: PMC10605263 DOI: 10.3390/brainsci13101469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/13/2023] [Accepted: 10/16/2023] [Indexed: 10/29/2023] Open
Abstract
Attention deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder with high prevalence, heritability, and heterogeneity. Children with a positive family history of ADHD have a heightened risk of ADHD emergence, persistence, and executive function deficits, with the neural mechanisms having been under investigated. The objective of this study was to investigate working memory-related functional brain activation patterns in children with ADHD (with vs. without positive family histories (ADHD-F vs. ADHD-NF)) and matched typically developing children (TDC). Voxel-based and region of interest analyses were conducted on two-back task-based fMRI data of 362 subjects, including 186, 96, and 80 children in groups of TDC, ADHD-NF, and ADHD-F, respectively. Relative to TDC, both ADHD groups had significantly reduced activation in the left inferior frontal gyrus (IFG). And the ADHD-F group demonstrated a significant positive association of left IFG activation with task reaction time, a negative association of the right IFG with ADHD symptomatology, and a negative association of the IFG activation laterality index with the inattention symptom score. These results suggest that working memory-related functional alterations in bilateral IFGs may play distinct roles in ADHD-F, with the functional underdevelopment of the left IFG significantly informing the onset of ADHD symptoms. Our findings have the potential to assist in tailored diagnoses and targeted interventions in children with ADHD-F.
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Affiliation(s)
- Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA; (C.M.); (M.C.); (E.M.)
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
| | - Chirag Motwani
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA; (C.M.); (M.C.); (E.M.)
- Graduate School of Biomedical Sciences, Rutgers University, Newark, NJ 07102, USA
| | - Meng Cao
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA; (C.M.); (M.C.); (E.M.)
- Graduate School of Biomedical Sciences, Rutgers University, Newark, NJ 07102, USA
| | - Elizabeth Martin
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA; (C.M.); (M.C.); (E.M.)
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jeffrey M. Halperin
- Department of Psychology, Queens College, City University of New York, New York, NY 11367, USA;
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Carrión-Castillo A, Paz-Alonso PM, Carreiras M. Brain structure, phenotypic and genetic correlates of reading performance. Nat Hum Behav 2023; 7:1120-1134. [PMID: 37037991 DOI: 10.1038/s41562-023-01583-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 03/08/2023] [Indexed: 04/12/2023]
Abstract
Reading is an evolutionarily recent development that recruits and tunes brain circuitry connecting primary- and language-processing regions. We investigated whether metrics of the brain's physical structure correlate with reading performance and whether genetic variants affect this relationship. To this aim, we used the Adolescent Brain Cognitive Development dataset (n = 9,013) of 9-10-year-olds and focused on 150 measures of cortical surface area (CSA) and thickness. Our results reveal that reading performance is associated with nine measures of brain structure including relevant regions of the reading network. Furthermore, we show that this relationship is partially mediated by genetic factors for two of these measures: the CSA of the entire left hemisphere and, specifically, of the left superior temporal gyrus CSA. These effects emphasize the complex and subtle interplay between genes, brain and reading, which is a partly heritable polygenic skill that relies on a distributed network.
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Affiliation(s)
| | - Pedro M Paz-Alonso
- Basque Center on Cognition, Brain and Language (BCBL), Donostia-San Sebastián, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Manuel Carreiras
- Basque Center on Cognition, Brain and Language (BCBL), Donostia-San Sebastián, Spain.
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain.
- University of the Basque Country, Bilbao, Spain.
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9
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Cao M, Martin E, Li X. Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms. Transl Psychiatry 2023; 13:236. [PMID: 37391419 DOI: 10.1038/s41398-023-02536-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 06/19/2023] [Accepted: 06/21/2023] [Indexed: 07/02/2023] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous neurodevelopmental disorder in children and has a high chance of persisting in adulthood. The development of individualized, efficient, and reliable treatment strategies is limited by the lack of understanding of the underlying neural mechanisms. Diverging and inconsistent findings from existing studies suggest that ADHD may be simultaneously associated with multivariate factors across cognitive, genetic, and biological domains. Machine learning algorithms are more capable of detecting complex interactions between multiple variables than conventional statistical methods. Here we present a narrative review of the existing machine learning studies that have contributed to understanding mechanisms underlying ADHD with a focus on behavioral and neurocognitive problems, neurobiological measures including genetic data, structural magnetic resonance imaging (MRI), task-based and resting-state functional MRI (fMRI), electroencephalogram, and functional near-infrared spectroscopy, and prevention and treatment strategies. Implications of machine learning models in ADHD research are discussed. Although increasing evidence suggests that machine learning has potential in studying ADHD, extra precautions are still required when designing machine learning strategies considering the limitations of interpretability and generalization.
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Affiliation(s)
- Meng Cao
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | | | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA.
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Sonuga-Barke EJS, Becker SP, Bölte S, Castellanos FX, Franke B, Newcorn JH, Nigg JT, Rohde LA, Simonoff E. Annual Research Review: Perspectives on progress in ADHD science - from characterization to cause. J Child Psychol Psychiatry 2023; 64:506-532. [PMID: 36220605 PMCID: PMC10023337 DOI: 10.1111/jcpp.13696] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/08/2022] [Indexed: 12/20/2022]
Abstract
The science of attention-deficit/hyperactivity disorder (ADHD) is motivated by a translational goal - the discovery and exploitation of knowledge about the nature of ADHD to the benefit of those individuals whose lives it affects. Over the past fifty years, scientific research has made enormous strides in characterizing the ADHD condition and in understanding its correlates and causes. However, the translation of these scientific insights into clinical benefits has been limited. In this review, we provide a selective and focused survey of the scientific field of ADHD, providing our personal perspectives on what constitutes the scientific consensus, important new leads to be highlighted, and the key outstanding questions to be addressed going forward. We cover two broad domains - clinical characterization and, risk factors, causal processes and neuro-biological pathways. Part one focuses on the developmental course of ADHD, co-occurring characteristics and conditions, and the functional impact of living with ADHD - including impairment, quality of life, and stigma. In part two, we explore genetic and environmental influences and putative mediating brain processes. In the final section, we reflect on the future of the ADHD construct in the light of cross-cutting scientific themes and recent conceptual reformulations that cast ADHD traits as part of a broader spectrum of neurodivergence.
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Affiliation(s)
- Edmund J S Sonuga-Barke
- School of Academic Psychiatry, Institute of Psychology, Psychiatry & Neuroscience, King’s College London. UK
- Department of Child & Adolescent Psychiatry, Aarhus University, Denmark
| | - Stephen P. Becker
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children’s Hospital Medical Center, United States
- Department of Pediatrics, University of Cincinnati College of Medicine, United States
| | - Sven Bölte
- Department of Women’s and Children’s Health, Karolinska Institutet, Sweden
- Division of Child and Adolescent Psychiatry, Center for Psychiatry Research, Stockholm County Council, Sweden
| | - Francisco Xavier Castellanos
- Department of Child and Adolescent Psychiatry, New York University Grossman School of Medicine, USA
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Barbara Franke
- Departments of Human Genetics and Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Joel T. Nigg
- Department of Psychiatry, Oregon Health and Science University, USA
| | - Luis Augusto Rohde
- ADHD Outpatient Program & Developmental Psychiatry Program, Hospital de Clinica de Porto Alegre, Federal University of Rio Grande do Sul, Brazil; National Institute of Developmental Psychiatry, Brazil
| | - Emily Simonoff
- School of Academic Psychiatry, Institute of Psychology, Psychiatry & Neuroscience, King’s College London. UK
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Lam SL, Criaud M, Lukito S, Westwood SJ, Agbedjro D, Kowalczyk OS, Curran S, Barret N, Abbott C, Liang H, Simonoff E, Barker GJ, Giampietro V, Rubia K. Double-Blind, Sham-Controlled Randomized Trial Testing the Efficacy of fMRI Neurofeedback on Clinical and Cognitive Measures in Children With ADHD. Am J Psychiatry 2022; 179:947-958. [PMID: 36349428 PMCID: PMC7614456 DOI: 10.1176/appi.ajp.21100999] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Functional MRI neurofeedback (fMRI-NF) could potentially be a novel, safe nonpharmacological treatment for attention deficit hyperactivity disorder (ADHD). A proof-of-concept randomized controlled trial of fMRI-NF of the right inferior frontal cortex (rIFC), compared to an active control condition, showed promising improvement of ADHD symptoms (albeit in both groups) and in brain function. However, comparison with a placebo condition in a larger trial is required to test efficacy. METHODS This double-blind, sham-controlled randomized controlled trial tested the effectiveness and efficacy of fMRI-NF of the rIFC on symptoms and executive functions in 88 boys with ADHD (44 each in the active and sham arms). To investigate treatment-related changes, groups were compared at the posttreatment and 6-month follow-up assessments, controlling for baseline scores, age, and medication status. The primary outcome measure was posttreatment score on the ADHD Rating Scale (ADHD-RS). RESULTS No significant group differences were found on the ADHD-RS. Both groups showed similar decreases in other clinical and cognitive measures, except for a significantly greater decrease in irritability and improvement in motor inhibition in sham relative to active fMRI-NF at the posttreatment assessment, covarying for baseline. There were no significant side effects or adverse events. The active relative to the sham fMRI-NF group showed enhanced activation in rIFC and other frontal and temporo-occipital-cerebellar self-regulation areas. However, there was no progressive rIFC upregulation, correlation with ADHD-RS scores, or transfer of learning. CONCLUSIONS Contrary to the hypothesis, the study findings do not suggest that fMRI-NF of the rIFC is effective in improving clinical symptoms or cognition in boys with ADHD.
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Affiliation(s)
- Sheut-Ling Lam
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
| | - Marion Criaud
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
| | - Steve Lukito
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
| | - Samuel J Westwood
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
| | - Deborah Agbedjro
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
| | - Olivia S Kowalczyk
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
| | - Sarah Curran
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
| | - Nadia Barret
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
| | - Chris Abbott
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
| | - Holan Liang
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
| | - Emily Simonoff
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
| | - Gareth J Barker
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
| | - Vincent Giampietro
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
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12
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Waxmonsky J, Fosco W, Waschbusch D, Babinski D, Baweja R, Pegg S, Cao V, Shroff D, Kujawa A. The Impact of Irritability and Callous Unemotional Traits on Reward Positivity in Youth with ADHD and Conduct Problems. Res Child Adolesc Psychopathol 2022; 50:1027-1040. [PMID: 35182261 PMCID: PMC9388699 DOI: 10.1007/s10802-022-00901-9] [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] [Accepted: 01/16/2022] [Indexed: 11/29/2022]
Abstract
Children with attention-deficit/hyperactivity disorder (ADHD) and conduct problems exhibit significant variability in functioning and treatment response that cannot be fully accounted for by differences in symptom severity. Reward responsivity (RR) is a potential transdiagnostic means to account for this variability. Irritability and callous-unemotional (CU) traits moderate associations between both ADHD and conduct problems with multiple realms of functioning. Both are theorized to be associated with RR, but associations in clinical samples are unknown. In 48 youth ages 5-12 with ADHD referred for treatment of conduct problems, we examined RR using a guessing task where participants select a door icon to win and lose money. Analyses focused on the reward positivity (RewP) event-related potential in response to gain and loss feedback, which reliably peaks approximately 300 ms after feedback. Frequentist and Bayesian approaches assessed main effects of ADHD, Conduct Disorder (CD) and non-irritable Oppositional Defiant Disorder (ODD) symptoms with RR, plus interactions between symptoms and affective dimensions (irritability, CU). CD and ODD were hypothesized to be associated with altered RR, with irritability and CU moderating these associations. Across models, a reliable CD x irritability interaction emerged, indicating enhanced RewP when irritability was elevated and CD symptoms were low. CU did not moderate any associations with RR, and little support was found for associations between RR and other symptom domains. As neural response to reward varied with levels of irritability and CD symptoms, RR may hold potential as a clinically-relevant biomarker in youth with ADHD and conduct problems.
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Affiliation(s)
- James Waxmonsky
- Department of Psychiatry, Penn State College of Medicine, Hershey, PA, USA.
| | - Whitney Fosco
- Department of Psychiatry, Penn State College of Medicine, Hershey, PA, USA
| | - Daniel Waschbusch
- Department of Psychiatry, Penn State College of Medicine, Hershey, PA, USA
| | - Dara Babinski
- Department of Psychiatry, Penn State College of Medicine, Hershey, PA, USA
| | - Raman Baweja
- Department of Psychiatry, Penn State College of Medicine, Hershey, PA, USA
| | - Samantha Pegg
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, USA
| | - Vanessa Cao
- Department of Psychiatry, Penn State College of Medicine, Hershey, PA, USA
| | - Delshad Shroff
- Department of Psychiatry, Penn State College of Medicine, Hershey, PA, USA
| | - Autumn Kujawa
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, USA
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13
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Fujisawa TX, Nishitani S, Makita K, Yao A, Takiguchi S, Hamamura S, Shimada K, Okazawa H, Matsuzaki H, Tomoda A. Association of Epigenetic Differences Screened in a Few Cases of Monozygotic Twins Discordant for Attention-Deficit Hyperactivity Disorder With Brain Structures. Front Neurosci 2022; 15:799761. [PMID: 35145374 PMCID: PMC8823258 DOI: 10.3389/fnins.2021.799761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 12/16/2021] [Indexed: 11/13/2022] Open
Abstract
The present study examined the relationship between DNA methylation differences and variations in brain structures involved in the development of attention-deficit hyperactivity disorder (ADHD). First, we used monozygotic (MZ) twins discordant (2 pairs of 4 individuals, 2 boys, mean age 12.5 years) for ADHD to identify candidate DNA methylation sites involved in the development of ADHD. Next, we tried to replicate these candidates in a case-control study (ADHD: N = 18, 15 boys, mean age 10.0 years; Controls: N = 62, 40 boys, mean age 13.9 years). Finally, we examined how methylation rates at those sites relate to the degree of local structural alterations where significant differences were observed between cases and controls. As a result, we identified 61 candidate DNA methylation sites involved in ADHD development in two pairs of discordant MZ twins, among which elevated methylation at a site in the sortilin-related Vps10p domain containing receptor 2 (SorCS2) gene was replicated in the case-control study. We also observed that the ADHD group had significantly reduced gray matter volume (GMV) in the precentral and posterior orbital gyri compared to the control group and that this volume reduction was positively associated with SorCS2 methylation. Furthermore, the reduced GMV regions in children with ADHD are involved in language processing and emotional control, while SorCS2 methylation is also negatively associated with emotional behavioral problems in children. These results indicate that SorCS2 methylation might mediate a reduced GMV in the precentral and posterior orbital gyri and therefore influence the pathology of children with ADHD.
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Affiliation(s)
- Takashi X. Fujisawa
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka, Japan
- *Correspondence: Takashi X. Fujisawa,
| | - Shota Nishitani
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka, Japan
| | - Kai Makita
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
| | - Akiko Yao
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka, Japan
| | - Shinichiro Takiguchi
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan
| | - Shoko Hamamura
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka, Japan
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan
| | - Koji Shimada
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka, Japan
- Biomedical Imaging Research Center, University of Fukui, Fukui, Japan
| | - Hidehiko Okazawa
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka, Japan
- Biomedical Imaging Research Center, University of Fukui, Fukui, Japan
| | - Hideo Matsuzaki
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka, Japan
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan
| | - Akemi Tomoda
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka, Japan
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan
- *Correspondence: Takashi X. Fujisawa,
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14
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Petrican R, Miles S, Rudd L, Wasiewska W, Graham KS, Lawrence AD. Pubertal timing and functional neurodevelopmental alterations independently mediate the effect of family conflict on adolescent psychopathology. Dev Cogn Neurosci 2021; 52:101032. [PMID: 34781251 PMCID: PMC10436252 DOI: 10.1016/j.dcn.2021.101032] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 10/29/2021] [Accepted: 11/04/2021] [Indexed: 12/28/2022] Open
Abstract
This study tested the hypothesis that early life adversity (ELA) heightens psychopathology risk by concurrently altering pubertal and neurodevelopmental timing, and associated gene transcription signatures. Analyses focused on threat- (family conflict/neighbourhood crime) and deprivation-related ELAs (parental inattentiveness/unmet material needs), using longitudinal data from 1514 biologically unrelated youths in the Adolescent Brain and Cognitive Development (ABCD) study. Typical developmental changes in white matter microstructure corresponded to widespread BOLD signal variability (BOLDsv) increases (linked to cell communication and biosynthesis genes) and region-specific task-related BOLDsv increases/decreases (linked to signal transduction, immune and external environmental response genes). Increasing resting-state (RS), but decreasing task-related BOLDsv predicted normative functional network segregation. Family conflict was the strongest concurrent and prospective contributor to psychopathology, while material deprivation constituted an additive risk factor. ELA-linked psychopathology was predicted by higher Time 1 threat-evoked BOLDSV (associated with axonal development, myelination, cell differentiation and signal transduction genes), reduced Time 2 RS BOLDsv (associated with cell metabolism and attention genes) and greater Time 1 to Time 2 control/attention network segregation. Earlier pubertal timing and neurodevelopmental alterations independently mediated ELA effects on psychopathology. Our results underscore the differential roles of the immediate and wider external environment(s) in concurrent and longer-term ELA consequences.
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Affiliation(s)
- Raluca Petrican
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom.
| | - Sian Miles
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Lily Rudd
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Wiktoria Wasiewska
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Kim S Graham
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Andrew D Lawrence
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
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15
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Affiliation(s)
- Francisco Xavier Castellanos
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, and Nathan Kline Institute for Psychiatric Research, New York
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16
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Grimm O, van Rooij D, Hoogman M, Klein M, Buitelaar J, Franke B, Reif A, Plichta MM. Transdiagnostic neuroimaging of reward system phenotypes in ADHD and comorbid disorders. Neurosci Biobehav Rev 2021; 128:165-181. [PMID: 34144113 DOI: 10.1016/j.neubiorev.2021.06.025] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 06/13/2021] [Accepted: 06/13/2021] [Indexed: 02/08/2023]
Abstract
ADHD is a disorder characterized by changes in the reward system and which is highly comorbid with other mental disorders, suggesting common neurobiological pathways. Transdiagnostic neuroimaging findings could help to understand whether a dysregulated reward pathway might be the actual link between ADHD and its comorbidities. We here synthesize ADHD neuroimaging findings on the reward system with findings in obesity, depression, and substance use disorder including their comorbid appearance regarding neuroanatomical features (structural MRI) and activation patterns (resting-state and functional MRI). We focus on findings from monetary-incentive-delay (MID) and delay-discounting (DD) tasks and then review data on striatal connectivity and volumetry. Next, for better understanding of comorbidity in adult ADHD, we discuss these neuroimaging features in ADHD, obesity, depression and substance use disorder and ask whether ADHD heterogeneity and comorbidity are reflected by a common dysregulation in the reward system. Finally, we highlight conceptual issues related to heterogeneous paradigms, different phenotyping, longitudinal prediction and highlight some promising future directions for using striatal reward functioning as a clinical biomarker.
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Affiliation(s)
- Oliver Grimm
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany.
| | - Daan van Rooij
- Donders Centre for Cognitive Neuroimaging, CNS Department, University Medical Centre Nijmegen, the Netherlands
| | - Martine Hoogman
- Donders Centre for Cognitive Neuroimaging, CNS Department, University Medical Centre Nijmegen, the Netherlands
| | - Marieke Klein
- Donders Centre for Cognitive Neuroimaging, CNS Department, University Medical Centre Nijmegen, the Netherlands; Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Psychiatry, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Jan Buitelaar
- Donders Centre for Cognitive Neuroimaging, CNS Department, University Medical Centre Nijmegen, the Netherlands
| | - Barbara Franke
- Donders Centre for Cognitive Neuroimaging, CNS Department, University Medical Centre Nijmegen, the Netherlands
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
| | - Michael M Plichta
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
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