Seda Sacu
Biographic Data
| ID | 7962480 |
|---|---|
| NAME | Seda Sacu |
| GIVEN NAMES | Seda |
| FAMILY NAME | Sacu |
| SIGNATURE | SACU S |
| AFFILIATIONS | Heidelberg University |
| ORCID | 0000-0003-4734-9835 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predicting psychopathology symptom trajectories using machine learning
BACKGROUND: While previous literature has established a link between psychopathology symptom trajectories and psychosocial risk, most studies have not extended into adulthood or incorporated comprehensive risk measures. We aimed to identify symptom trajectories for externalizing and internalizing symptoms over a 25-year span and predict them using machine learning. METHODS: We used data from a longitudinal birth cohort study (N = 317, 171 females…
Lifespan adversities affect neural correlates of behavioral inhibition in adults
Our findings extended previous work and showed that early adverse experiences have a long-term effect on the neural circuitry of inhibitory control in adulthood. Furthermore, the overlap between neural correlates of adversity and depressive symptomatology suggests that adverse experiences might increase vulnerability via neural alterations, which needs to be investigated by future longitudinal research
No prominent works on this page.
Lifespan adversities affect neural correlates of behavioral inhibition in adults
Our findings extended previous work and showed that early adverse experiences have a long-term effect on the neural circuitry of inhibitory control in adulthood. Furthermore, the overlap between neural correlates of adversity and depressive symptomatology suggests that adverse experiences might increase vulnerability via neural alterations, which needs to be investigated by future longitudinal research
Predicting psychopathology symptom trajectories using machine learning
BACKGROUND: While previous literature has established a link between psychopathology symptom trajectories and psychosocial risk, most studies have not extended into adulthood or incorporated comprehensive risk measures. We aimed to identify symptom trajectories for externalizing and internalizing symptoms over a 25-year span and predict them using machine learning. METHODS: We used data from a longitudinal birth cohort study (N = 317, 171 females…
Cognition (2 works) · Affect (linguistics (1 work) · Affect regulation (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Cohort (1 work) · Communication (1 work) · Communication (1 work) · Developmental psychology (1 work) · Digital Mental Health Interventions (1 work)