{"doi":"10.1093/schbul/sbac010","title":"Unsuppressed Striatal Activity and Genetic Risk for Schizophrenia Associated With Individual Cognitive Performance Under Social Competition","abstract":"BACKGROUND AND HYPOTHESIS: Social competition affects human behaviors by inducing psychosocial stress. The neural and genetic mechanisms of individual differences of cognitive-behavioral response to stressful situations in a competitive context remain unknown. We hypothesized that variation in stress-related brain activation and genetic heterogeneity associated with psychiatric disorders may play roles towards individually differential responses under stress. STUDY DESIGN: A total of 419 healthy subjects and 66 patients with schizophrenia were examined functional magnetic resonance imaging during working memory task including social competition stressors. We explored the correlation between stress-induced brain activity and individual working memory performance. The partial least squares regression was performed to examine the genetic correlates between stress-related activity and gene expression data from Allen Human Brain Atlas. Polygenic risk score (PRS) was used to assess individual genetic risk for schizophrenia. STUDY RESULTS: Greater suppression of bilateral striatal activity was associated with better behavioral improvement in working memory manipulation under social competition (left: rPearson = -0.245, P = 4.0 × 10-6, right: rPearson = -0.234, P = 1.0 × 10-5). Genes transcriptionally related to stress-induced activation were linked to genetic risk for schizophrenia (PFDR < 0.005). Participants with decreased accuracy under social competition exhibited higher PRS of schizophrenia (t = 2.328, P = .021). Patients with schizophrenia showed less suppressed striatal activity under social stress (F = 13.493, P = 3.5 × 10-4). CONCLUSIONS: Striatal activity change and genetic risk for schizophrenia might play a role in the individually behavioral difference in working memory manipulation under stress.","journal":"Schizophrenia Bulletin","year":2022,"id":266367,"datarank":0.3453877639491069,"base_score":2.302585092994046,"endowment":2.302585092994046,"self_citation_contribution":0.3453877639491069,"citation_network_contribution":0.0,"self_endowment_contribution":0.3453877639491069,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":9,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9537,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":711501,"name":"Mingzhu Li","orcid":"0000-0001-7217-2045","position":1,"is_corresponding":false},{"id":371738,"name":"Xiao Zhang","orcid":"0000-0002-2932-5875","position":2,"is_corresponding":false},{"id":478973,"name":"Dai Zhang","orcid":"0000-0002-9162-7401","position":3,"is_corresponding":false},{"id":707498,"name":"Hao Yang Tan","orcid":"0000-0003-3561-2093","position":4,"is_corresponding":false},{"id":86587,"name":"Weihua Yue","orcid":"0000-0002-1201-8465","position":5,"is_corresponding":false},{"id":707491,"name":"Hao Yan","orcid":"0000-0003-0376-9037","position":6,"is_corresponding":false},{"id":707497,"name":"Yuyanan Zhang","orcid":"0000-0002-0474-1135","position":0,"is_corresponding":true}],"reference_count":58,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T00:26:54.081997Z","pmid":"35307738","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":[]}