login

Home > Search Results: ( (author:[Harman, Gareth]))

Search 10,505 records for:

Search Tips :: Simple Search

Sort by

ascending
descending

Display

Collections

Select collection

Format

Select output format

1.	PDF Kliamovich.Dakota.2023 Characterizing neural and psychosocial predictors of internalizing psychopathology in early adolescence Kliamovich, Dakota ; Nigg, Joel ; Graham, Alice ; Mackiewicz Seghete, Kristen[...] The etiology of adolescent internalizing psychopathology (e.g., anxiety and depression) is not yet fully understood, and for that reason it has been difficult to identify [...] 2023-12-15 \| Dissertation \| Detailed record - Similar records
2.	PDF Deep learning and structural MRI: in pursuit of improved prediction of self-regulatory behavior and mental health Harman, Gareth ; Kalpathy-Cramer, Jayashree ; Nagel, Bonnie ; Mooney, Michael[...] Nearly one in five children (17%) aged 2-8 were diagnosed with either a mental, emotional, developmental, or behavioral disorder in 2016 in the US. Early identification o [...] 2022-02-01 \| Dissertation \| Detailed record - Similar records
3.	PDF ResearchWeek.2023.HarmanGareth Modeling psychopathology through stacked deep neural networks of executive function Harman, Gareth ; Nagel, Bonnie ; Mooney, Michael ; Morales, Angelica[...] It remains a substantial challenge to model psychopathology using neuroimaging data. High rates of comorbidity and heterogeneity between and within psychiatric disorders [...] 2023-07-20 \| Abstract \| Detailed record - Similar records
4.	PDF Dakota-Kliamovich Predicting adolescent binge drinking from brain networks at rest Kliamovich, Dakota ; Morales, Angelica ; Harman, Gareth ; Boyd, Stephen Patterns of alcohol consumption during adolescence differ from those observed during adulthood; namely, adolescents are more likely to consume alcohol less frequently, bu [...] 2020 \| Abstract \| Detailed record - Similar records

Interested in being notified about new results for this query?
Set up a personal email alert or subscribe to the RSS feed.