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Neural correlates of self-evaluation in relation to age and pubertal development in early adolescent girls
Author(s) -
Marjolein E.A. Barendse,
Danielle Cosme,
John C. Flournoy,
Nandita Vijayakumar,
Theresa W Cheng,
Nicholas B. Allen,
Jennifer H. Pfeifer
Publication year - 2020
Publication title -
developmental cognitive neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.662
H-Index - 64
eISSN - 1878-9307
pISSN - 1878-9293
DOI - 10.1016/j.dcn.2020.100799
Subject(s) - psychology , ventromedial prefrontal cortex , developmental psychology , prosocial behavior , prefrontal cortex , cognition , neuroscience
Early adolescence is marked by puberty, and is also a time of flux in self-perception. However, there is limited research on the neural correlates of self-evaluation in relation to pubertal development. The current study examined relationships between neural activation during self-evaluation of social traits and maturation (age and pubertal development) in a community sample of female adolescents. Participants (N = 143; age M = 11.65, range = 10.0-13.0) completed a functional MRI task in which they judged the self-descriptiveness of adjectives for prosocial, antisocial and social status-related traits. Pubertal development was based on self-report, and was also examined using morning salivary testosterone, dehydroepiandrosterone, and estradiol. Contrary to preregistered hypotheses, neither age nor pubertal development were related to neural activation during self-evaluation. We further examined whether activation in two regions-of-interest, the ventromedial prefrontal cortex (vmPFC) and perigenual anterior cingulate (pgACC), was associated with trial-level self-evaluative behavior. In line with preregistered hypotheses, higher vmPFC and pgACC activation during self-evaluation were both associated with a higher probability of endorsing negative adjectives, and a lower probability of endorsing positive adjectives. Future studies should examine neural trajectories of self-evaluation longitudinally, and investigate the predictive value of the neural correlates of self-evaluation for adolescent mental health.

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