{"doi":"10.1016/j.dcn.2020.100799","title":"Neural correlates of self-evaluation in relation to age and pubertal development in early adolescent girls","abstract":"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.","journal":"Developmental Cognitive Neuroscience","year":2020,"id":97117,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":33,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9459,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":351001,"name":"Danielle Cosme","orcid":"0000-0001-8956-4053","position":1,"is_corresponding":false},{"id":350999,"name":"John C. Flournoy","orcid":"0000-0003-1735-1221","position":2,"is_corresponding":false},{"id":351000,"name":"Nandita Vijayakumar","orcid":"0000-0002-5622-9547","position":3,"is_corresponding":false},{"id":333981,"name":"Theresa W Cheng","orcid":"0000-0002-8557-565X","position":4,"is_corresponding":false},{"id":393230,"name":"Nicholas B. Allen","orcid":"0000-0002-1086-6639","position":5,"is_corresponding":false},{"id":333985,"name":"Jennifer H. Pfeifer","orcid":"0000-0002-6771-1873","position":6,"is_corresponding":false},{"id":480792,"name":"Marjolein E.A. Barendse","orcid":"0000-0002-1379-3156","position":0,"is_corresponding":true}],"reference_count":51,"raw_metadata":null,"created_at":"2026-07-18T22:35:34.520494Z","pmid":"32479376","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}