The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis
The fields of developmental psychopathology, developmental neuroscience, and behavioral genetics are increasingly moving toward a data sharing model to improve reproducibility, robustness, and generalizability of findings. This approach is particularly critical for understanding attention-deficit/hy...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-04-01
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| Series: | Developmental Cognitive Neuroscience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1878929323000270 |
| _version_ | 1797843829819179008 |
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| author | Joel T. Nigg Sarah L. Karalunas Michael A. Mooney Beth Wilmot Molly A. Nikolas Michelle M. Martel Jessica Tipsord Elizabeth K. Nousen Colleen Schmitt Peter Ryabinin Erica D. Musser Bonnie J. Nagel Damien A. Fair |
| author_facet | Joel T. Nigg Sarah L. Karalunas Michael A. Mooney Beth Wilmot Molly A. Nikolas Michelle M. Martel Jessica Tipsord Elizabeth K. Nousen Colleen Schmitt Peter Ryabinin Erica D. Musser Bonnie J. Nagel Damien A. Fair |
| author_sort | Joel T. Nigg |
| collection | DOAJ |
| description | The fields of developmental psychopathology, developmental neuroscience, and behavioral genetics are increasingly moving toward a data sharing model to improve reproducibility, robustness, and generalizability of findings. This approach is particularly critical for understanding attention-deficit/hyperactivity disorder (ADHD), which has unique public health importance given its early onset, high prevalence, individual variability, and causal association with co-occurring and later developing problems. A further priority concerns multi-disciplinary/multi-method datasets that can span different units of analysis. Here, we describe a public dataset using a case-control design for ADHD that includes: multi-method, multi-measure, multi-informant, multi-trait data, and multi-clinician evaluation and phenotyping. It spans > 12 years of annual follow-up with a lag longitudinal design allowing age-based analyses spanning age 7–19 + years with a full age range from 7 to 21. Measures span genetic and epigenetic (DNA methylation) array data; EEG, functional and structural MRI neuroimaging; and psychophysiological, psychosocial, clinical and functional outcomes data. The resource also benefits from an autism spectrum disorder add-on cohort and a cross sectional case-control ADHD cohort from a different geographical region for replication and generalizability. Datasets allowing for integration from genes to nervous system to behavior represent the “next generation” of researchable cohorts for ADHD and developmental psychopathology. |
| first_indexed | 2024-04-09T17:13:32Z |
| format | Article |
| id | doaj.art-2bfd63dd63724d2093ae383b0435b892 |
| institution | Directory Open Access Journal |
| issn | 1878-9293 |
| language | English |
| last_indexed | 2024-04-09T17:13:32Z |
| publishDate | 2023-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Developmental Cognitive Neuroscience |
| spelling | doaj.art-2bfd63dd63724d2093ae383b0435b8922023-04-20T04:36:09ZengElsevierDevelopmental Cognitive Neuroscience1878-92932023-04-0160101222The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysisJoel T. Nigg0Sarah L. Karalunas1Michael A. Mooney2Beth Wilmot3Molly A. Nikolas4Michelle M. Martel5Jessica Tipsord6Elizabeth K. Nousen7Colleen Schmitt8Peter Ryabinin9Erica D. Musser10Bonnie J. Nagel11Damien A. Fair12Department of Psychiatry & Behavioral Neuroscience, Oregon Health & Science University, USA; Correspondence to: Center for ADHD Research, Professor and Vice-Chair for Psychology, Department of Psychiatry, Oregon Health and Science University, 3181 S.W. Sam Jackson Park Road, Portland, OR 97239-3098, USA.Department of Psychological Sciences, Purdue University, USADepartment of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, USAOregon Clinical and Translational Research Institute, Oregon Health & Science University, USADepartment of Psychological and Brain Sciences, University of Iowa, USADepartment of Psychology, University of Kentucky, USADepartment of Psychiatry & Behavioral Neuroscience, Oregon Health & Science University, USADepartment of Psychiatry & Behavioral Neuroscience, Oregon Health & Science University, USADepartment of Psychiatry & Behavioral Neuroscience, Oregon Health & Science University, USAKnight Cancer Institute, Oregon Health & Science University, USADepartment of Psychology, Florida International University, USADepartment of Psychiatry & Behavioral Neuroscience, Oregon Health & Science University, USADepartment of Pediatrics, Masonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, University of Minnesota, USA; Correspondence to: Redleaf Endowed Director, Masonic, Institute for the Developing Brain, Professor, Institute of Child Development, College of Education and Human, Development, Professor, Department of Pediatrics, University of Minnesota, Minneapolis, MN 55455, USA.The fields of developmental psychopathology, developmental neuroscience, and behavioral genetics are increasingly moving toward a data sharing model to improve reproducibility, robustness, and generalizability of findings. This approach is particularly critical for understanding attention-deficit/hyperactivity disorder (ADHD), which has unique public health importance given its early onset, high prevalence, individual variability, and causal association with co-occurring and later developing problems. A further priority concerns multi-disciplinary/multi-method datasets that can span different units of analysis. Here, we describe a public dataset using a case-control design for ADHD that includes: multi-method, multi-measure, multi-informant, multi-trait data, and multi-clinician evaluation and phenotyping. It spans > 12 years of annual follow-up with a lag longitudinal design allowing age-based analyses spanning age 7–19 + years with a full age range from 7 to 21. Measures span genetic and epigenetic (DNA methylation) array data; EEG, functional and structural MRI neuroimaging; and psychophysiological, psychosocial, clinical and functional outcomes data. The resource also benefits from an autism spectrum disorder add-on cohort and a cross sectional case-control ADHD cohort from a different geographical region for replication and generalizability. Datasets allowing for integration from genes to nervous system to behavior represent the “next generation” of researchable cohorts for ADHD and developmental psychopathology.http://www.sciencedirect.com/science/article/pii/S1878929323000270Attention-deficit/hyperactivity disorderPublic datasetCase-control longitudinalDesignGenetic and epigenetic arrayNeuroimaging |
| spellingShingle | Joel T. Nigg Sarah L. Karalunas Michael A. Mooney Beth Wilmot Molly A. Nikolas Michelle M. Martel Jessica Tipsord Elizabeth K. Nousen Colleen Schmitt Peter Ryabinin Erica D. Musser Bonnie J. Nagel Damien A. Fair The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis Developmental Cognitive Neuroscience Attention-deficit/hyperactivity disorder Public dataset Case-control longitudinal Design Genetic and epigenetic array Neuroimaging |
| title | The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis |
| title_full | The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis |
| title_fullStr | The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis |
| title_full_unstemmed | The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis |
| title_short | The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis |
| title_sort | oregon adhd 1000 a new longitudinal data resource enriched for clinical cases and multiple levels of analysis |
| topic | Attention-deficit/hyperactivity disorder Public dataset Case-control longitudinal Design Genetic and epigenetic array Neuroimaging |
| url | http://www.sciencedirect.com/science/article/pii/S1878929323000270 |
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