TY  - GEN
N2  - It remains a substantial challenge to model psychopathology using neuroimaging data. High rates of comorbidity and heterogeneity between and within psychiatric disorders make predictive modeling especially challenging. To address this challenge, we model psychopathology using the well-established P-factor. Furthermore, psychiatric disorders do not, themselves, reflect singular neurobiological processes. Therefore, we attempt to improve our ability to predict psychopathology by transferring knowledge from individual models trained to predict elements of executive function, cognitive processes associated with psychopathology, including working-memory, set-shifting, and inhibitory control.
DO  - 10.6083/bpxhc41315
DO  - doi
AB  - It remains a substantial challenge to model psychopathology using neuroimaging data. High rates of comorbidity and heterogeneity between and within psychiatric disorders make predictive modeling especially challenging. To address this challenge, we model psychopathology using the well-established P-factor. Furthermore, psychiatric disorders do not, themselves, reflect singular neurobiological processes. Therefore, we attempt to improve our ability to predict psychopathology by transferring knowledge from individual models trained to predict elements of executive function, cognitive processes associated with psychopathology, including working-memory, set-shifting, and inhibitory control.
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
T1  - Modeling psychopathology through stacked deep neural networks of executive function
DA  - 2023-07-20
AU  - Harman, Gareth
AU  - Nagel, Bonnie
AU  - Mooney, Michael
AU  - Morales, Angelica
AU  - Kalpathy-Cramer, Jayashree
L1  - https://digitalcollections.ohsu.edu/record/41315/files/ResearchWeek.2023.HarmanGareth.pdf
PB  - Oregon Health and Science University
LA  - eng
PY  - 2023-07-20
ID  - 41315
L4  - https://digitalcollections.ohsu.edu/record/41315/files/ResearchWeek.2023.HarmanGareth.pdf
KW  - Data Science
KW  - Informatics
KW  - Psychopathology
KW  - Deep Learning
KW  - Neuroimaging
KW  - Machine Learning
KW  - Executive Function
KW  - Artificial Intelligence
KW  - Psychology, Child
KW  - Mental Disorders
KW  - Child Development
KW  - Adolescent Development
KW  - adolescent brain and cognitive development study
TI  - Modeling psychopathology through stacked deep neural networks of executive function
Y1  - 2023-07-20
L2  - https://digitalcollections.ohsu.edu/record/41315/files/ResearchWeek.2023.HarmanGareth.pdf
LK  - https://digitalcollections.ohsu.edu/record/41315/files/ResearchWeek.2023.HarmanGareth.pdf
UR  - https://digitalcollections.ohsu.edu/record/41315/files/ResearchWeek.2023.HarmanGareth.pdf
ER  -