Abstract Background Prenatal maternal stress is a known risk factor for later emotional problems, yet not all exposed offspring develop psychopathology. Executive functioning and prefrontal cortex structure and activity may buffer these effects, but it remains unclear whether genetic predispositions in these domains moderate associations with adolescent internalizing symptoms. Methods We examined 3,111 adolescents (1,881 females, 1,230 males). Prenatal stress was measured via a cumulative index across four domains. Internalizing symptoms were self-reported at ages 14 and 16. Genetic predisposition for executive functioning was indexed using a polygenic score (PGS) derived from adult samples, applied here to estimate genetic predisposition for executive functioning in adolescence. We also estimated a prefrontal cortex PGS based on cortical thickness and activation in six prefrontal regions, with a composite index derived from the first principal axis summarizing these measures. Results Higher prenatal stress was significantly associated with more internalizing symptoms in adolescence. Female sex and maternal genetic risk for internalizing symptoms were also associated with higher symptom levels. Neither genetic disposition for executive functioning nor prefrontal cortex moderated this association overall. However, a weak interaction emerged at age 16, indicating that a genetic disposition for higher executive functioning was associated with greater internalizing symptoms under high stress exposure. Conclusions Prenatal maternal stress predicted increased adolescent internalizing symptoms, with limited evidence for moderation by genetic predisposition for executive functioning. Higher genetic potential for executive functioning may confer increased sensitivity to early stress under certain developmental conditions.
Two distinct ACEs-related pathways influencing adolescent behavior through neurostructural and functional mediators, moderated by genetic risk are delineated, advances the understanding of ACEs mechanisms and highlights targets for early intervention.
Huaigui Liu, Jie Tang, Zhen Zhao et al.· Developmental Cognitive Neur...· 0 citations
BACKGROUND
Early life adversity (ELA) is a known risk factor for mental health disorders across development and may confer vulnerability to psychopathology through alterations in reward processing. However, little is known about how distinct dimensions of ELA, particularly experiences of threat and deprivation across i...
Maria Granros, Ashley Engstrom, Cope Feurer et al.· Biological Psychiatry: Cogni...· 0 citations
Executive functions (EFs) and parental styles are key determinants of adolescent mental health. This study investigates the mediating role of EFs in the relationship between parenting styles (communicative, hostile, and neglectful) and anxiety and depression symptoms in a sample of 165 adolescents (50.9% boys and 49.1%...
A. Carballo-Márquez, Aikaterini Ampatzoglou, Juliana Rojas-Rincón et al.· Depression and Anxiety· 0 citations
BACKGROUND
Parental depression is a well-established risk factor for child psychopathology, yet most studies focus on mothers. Whether nonlinear patterns with thresholds exist, especially for fathers, remains unclear. This study examines these associations and identified optimal thresholds comparing mothers and fathers...
Minna Liu, Hong-Li Sun, Jia-Hua Liu et al.· Journal of Affective Disorde...· 0 citations
Abstract Background Exposure to stressors during early childhood has been linked to irritability and subsequent mental health problems; however, little work has examined the unique and combined effects of distinct stress exposures on trajectories of childhood irritability or adolescent mental health symptoms. Methods S...
M. DeSerisy, Huiyu Yang, J. Cohen et al.· JCPP Advances· 0 citations
Worry is an important contributor to anxiety and depressive disorders, particularly in adolescence. Underlying changes in brain networks are thought to drive development of pathological worry, yet the degree to which neural correlates of worry vary by age is unknown. Here, we use multivariate pattern analysis (MVPA) to...
Cecilia A. Westbrook, H. Karim, C. Andreescu et al.· medRxiv· 0 citations
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