The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis

Nigg, Joel T.; Karalunas, Sarah L.; Mooney, Michael A.; Wilmot, Beth; Nikolas, Molly A.; Martel, Michelle M.; Tipsord, Jessica; Nousen, Elizabeth K.; Schmitt, Colleen F.; Ryabinin, Peter; Musser, Erica D.; Nagel, Bonnie J.; Fair, Damien A.

doi:10.1016/j.dcn.2023.101222

Cited by 5 publications

(6 citation statements)

References 89 publications

(98 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In previous studies, the researchers found that ADHD patients had abnormal development of gray matter in the basal ganglia, abnormal development of white matter in the frontal and temporal lobes of the brain, and abnormal brain network connections (Cortese et al, 2021;De La Fuente et al, 2013;Gagnon et al, 2022;Klein et al, 2021;Parlatini et al, 2023;Schmithorst et al, 2016;Vilgis et al, 2016;Wu et al, 2020;Zhao et al, 2020Zhao et al, , 2022. In this study, we found white matter abnormalities in frontal lobe, temporal lobe, and other brain areas in ADHD children, we also found gray matter abnormalities in caudate nucleus in ADHD children.…”

Section: Discussionsupporting

confidence: 70%

“…Attention-deficit/hyperactivity disorder (ADHD) is a childhood condition featuring hyperactivity, impulsivity, attention deficits, and other symptoms affecting cognitive, academic, behavioral, emotional, and social functioning (Becker, 2020;Bruchhage et al, 2018;Dupont et al, 2022;Long et al, 2022;Montagna et al, 2020;Ulrich et al, 2022). ADHD is a highly heritable disorder with complex inheritance and hard-to-identify nature (Mooney et al, 2023;Nigg et al, 2023Nigg et al, , 2020Sonuga-Barke et al, 2023).…”

Section: Backg Rou N Dmentioning

confidence: 99%

“…ADHD is a highly heritable disorder with complex inheritance and hard‐to‐identify nature (Mooney et al., 2023; Nigg et al., 2023, 2020; Sonuga‐Barke et al., 2023). Environmental risks constitute an important factor leading to ADHD, there is a passive correlation between genetic and environmental risks, and the environment can modulate genetic effects (Mooney et al., 2023; Nigg et al., 2023, 2020; Sonuga‐Barke et al., 2023). ADHD bears on neurodevelopment, currently, there are many studies on the neurodevelopment of ADHD patients, most focus on brain function and whether brain gray and white matter are abnormal (Albajara Sáenz et al., 2019; Pereira‐Sanchez & Castellanos, 2021; Samea et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Attention‐deficit/hyperactivity disorder (ADHD) is a childhood condition featuring hyperactivity, impulsivity, attention deficits, and other symptoms affecting cognitive, academic, behavioral, emotional, and social functioning (Becker, 2020; Bruchhage et al., 2018; Dupont et al., 2022; Long et al., 2022; Montagna et al., 2020; Ulrich et al., 2022). ADHD is a highly heritable disorder with complex inheritance and hard‐to‐identify nature (Mooney et al., 2023; Nigg et al., 2023, 2020; Sonuga‐Barke et al., 2023). Environmental risks constitute an important factor leading to ADHD, there is a passive correlation between genetic and environmental risks, and the environment can modulate genetic effects (Mooney et al., 2023; Nigg et al., 2023, 2020; Sonuga‐Barke et al., 2023).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Diffusion kurtosis imaging reveals abnormal gray matter and white matter development in some brain regions of children with attention‐deficit/hyperactivity disorder

Tang,

Liu,

Nie

et al. 2023

J of Neuroscience Research

View full text Add to dashboard Cite

In this study, we explored the application of diffusion kurtosis imaging (DKI) technology in the brains of children with attention‐deficit/hyperactivity disorder (ADHD). Seventy‐two children with ADHD and 79 age‐ and sex‐matched healthy controls were included in the study. All children were examined by means of 3D T1‐weighted image, DKI, and conventional sequence scanning. The volume and DKI parameters of each brain region were obtained by software postprocessing (GE ADW 4.6 workstation) and compared between the two groups of children to determine the imaging characteristics of children with ADHD. The result showed the total brain volume was lower in children with ADHD than in healthy children (p < .05). The gray and white matter volumes in the frontal lobe, temporal lobe, hippocampus, caudate nucleus, putamen, globus pallidus, and other brain regions were lower in children with ADHD than in healthy children (p < .05). The axial kurtosis (Ka), mean kurtosis (MK), fractional anisotropy (FA), and radial kurtosis(Kr) values in the frontal lobe, temporal lobe, and caudate nucleus of children with ADHD were lower than those of healthy children, while the mean diffusivity(MD) and fractional anisotropy of kurtosis (FAK) values were higher than those of healthy children (p < .05). Additionally, the Ka, MK, FA, and Kr values in the frontal lobe, caudate nucleus, and temporal lobe could be used to distinguish children with ADHD (AUC > .05, p < .05). In conclusion, DKI showed abnormal gray matter and white matter development in some brain regions of children with ADHD.

show abstract

Section: Discussionsupporting

confidence: 70%

Section: Backg Rou N Dmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Diffusion kurtosis imaging reveals abnormal gray matter and white matter development in some brain regions of children with attention‐deficit/hyperactivity disorder

Tang,

Liu,

Nie

et al. 2023

J of Neuroscience Research

View full text Add to dashboard Cite

show abstract

“…Here, we take advantage of increasingly informative PRS, the growing availability of geospatial coding of environmental risk factors to standardize assessment in large samples, and the large-scale American Adolescent Brain Cognitive Development℠ study (ABCD Study®) of over 11,000 children selected from around the nation, along with the unique Oregon-ADHD-1000 case-control sample (Nigg et al, 2023) � Genotype-by-environment interaction interactions observed were confounded by ancestry and did not replicate, suggesting these effects are likely small for the PRS and exposures examined here.…”

Section: Introductionmentioning

confidence: 99%

Joint polygenic and environmental risks for childhood attention‐deficit/hyperactivity disorder (ADHD) and ADHD symptom dimensions

et al. 2023

Self Cite

View full text Add to dashboard Cite

Background attention‐deficit/hyperactivity disorder (ADHD) is associated with both polygenic liability and environmental exposures, both intrinsic to the family, such as family conflict, and extrinsic, such as air pollution. However, much less is known about the interplay between environmental and genetic risks relevant to ADHD—a better understanding of which could inform both mechanistic models and clinical prediction algorithms. Methods Two independent data sets, the population‐based Adolescent Brain Cognitive Development Study (ABCD) (N = 11,876) and the case‐control Oregon‐ADHD‐1000 (N = 1449), were used to examine additive (G + E) and interactive (GxE) effects of selected polygenic risk scores (PRS) and environmental factors in a cross‐sectional design. Genetic risk was measured using PRS for nine mental health disorders/traits. Exposures included family income, family conflict/negative sentiment, and geocoded measures of area deprivation, lead exposure risk, and air pollution exposure (nitrogen dioxide and fine particulate matter). Results ADHD PRS and family conflict jointly predicted concurrent ADHD symptoms in both cohorts. Additive‐effects models, including both genetic and environmental factors, explained significantly more variation in symptoms than any individual factor alone (joint R2 = .091 for total symptoms in ABCD; joint R2 = .173 in Oregon‐ADHD‐1000; all delta‐R2 p‐values <2e‐7). Significant effect size heterogeneity across ancestry groups was observed for genetic and environmental factors (e.g., Q = 9.01, p = .011 for major depressive disorder PRS; Q = 13.34, p = .001 for area deprivation). GxE interactions observed in the full ABCD cohort suggested stronger environmental effects when genetic risk is low, though they did not replicate. Conclusions Reproducible additive effects of PRS and family environment on ADHD symptoms were found, but GxE interaction effects were not replicated and appeared confounded by ancestry. Results highlight the potential value of combining exposures and PRS in clinical prediction algorithms. The observed differences in risks across ancestry groups warrant further study to avoid health care disparities.

show abstract

The Relationship Between Emotion Dysregulation and Error Monitoring in Adolescents with ADHD

Figuracion,

Kozlowski,

Macknyk

et al. 2023

Res Child Adolesc Psychopathol

View full text Add to dashboard Cite

The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis

Cited by 5 publications

References 89 publications

Diffusion kurtosis imaging reveals abnormal gray matter and white matter development in some brain regions of children with attention‐deficit/hyperactivity disorder

Diffusion kurtosis imaging reveals abnormal gray matter and white matter development in some brain regions of children with attention‐deficit/hyperactivity disorder

Joint polygenic and environmental risks for childhood attention‐deficit/hyperactivity disorder (ADHD) and ADHD symptom dimensions

The Relationship Between Emotion Dysregulation and Error Monitoring in Adolescents with ADHD

Contact Info

Product

Resources

About