{"doi":"10.1016/j.schres.2022.12.034","title":"Negative mood states as a correlate of cognitive performance and self-assessment of cognitive performance in bipolar disorder versus schizophrenia","abstract":null,"journal":"Schizophrenia Research","year":2023,"id":591714,"datarank":0.415134425672543,"base_score":2.70805020110221,"endowment":2.70805020110221,"self_citation_contribution":0.40620753016533157,"citation_network_contribution":0.008926895507211418,"self_endowment_contribution":0.40620753016533157,"citer_contribution":0.008926895507211418,"corpus_percentile":null,"corpus_rank":null,"citation_count":14,"citer_count":4,"citers_with_citation_signal":1,"citers_with_endowment":1,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":352518,"name":"Raeanne C. Moore","orcid":"0000-0002-7499-041X","position":1,"is_corresponding":false},{"id":336752,"name":"Colin A. Depp","orcid":"0000-0002-1841-6229","position":2,"is_corresponding":false},{"id":688342,"name":"Robert A. Ackerman","orcid":"0000-0002-7409-114X","position":3,"is_corresponding":false},{"id":414157,"name":"Amy E. Pinkham","orcid":"0000-0003-2803-4520","position":4,"is_corresponding":false},{"id":178493,"name":"Philip D. Harvey","orcid":"0000-0002-9501-9366","position":5,"is_corresponding":false},{"id":614412,"name":"Nina Dalkner","orcid":"0000-0001-7716-3674","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Negative mood states as a correlate of cognitive performance and self-assessment of cognitive performance in bipolar disorder versus schizophrenia","abstract":"<h4>Introduction</h4>Mood states have been reported to manifest a cross-sectional correlation with self-assessment accuracy across functional domains and psychiatric conditions. Ecological momentary assessment (EMA) provides a strategy to examine the momentary course and correlates of mood states. This study tested the association of moods assessed longitudinally with accuracy of immediate self-assessments of cognitive test performance in participants with schizophrenia and bipolar disorder.<h4>Methods</h4>240 well-diagnosed participants with schizophrenia and bipolar disorder completed a subset of tests from the MATRICS Consensus Cognitive Battery and an immediate self-assessment of cognitive performance. Differences between actual and self-reported performance were used to index the accuracy of self-assessment. Daily smartphone EMA, 3× per day for 30 days, sampled participants´ momentary moods (sad, happy, relaxed, anxious), aggregated into positive affect and negative affect (NA).<h4>Results</h4>Bipolar participants had better cognitive performance, but both samples had equivalent mis-estimation. Repeated-measures analyses found that NA did not manifest significant variability over time either between or within participants in the two diagnostic groups. Within-group analyses found that higher average NA was associated with greater mis-estimation and poorer cognitive performance in participants with bipolar disorder, but not in those with schizophrenia.<h4>Conclusion</h4>Negative moods had a significant association with impairments in self-assessment of cognitive performance in participants with bipolar disorder. Our study did not confirm previous cross-sectional findings of more accurate self-assessment associated with greater NA in schizophrenia. These findings suggest that cross-sectional assessments, particularly self-reports, may lead to different results than aggregated data from longitudinal evaluations.","is_dataset_classified":null,"base_score":2.70805020110221,"endowment":2.70805020110221,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"36608492","pmcid":"PMC9974828","openalex_id":"https://openalex.org/W4313491099","authors":[],"funders":[{"funder_name":"National Institute of Mental Health","grant_id":"RO1MH112620","title":null},{"funder_name":"NIMH NIH HHS","grant_id":"R01 MH112620","title":null}],"total_grants":2,"fwci":2.439,"citation_percentile":0.88632421,"influential_citations":0,"citation_trend":[{"year":2022,"count":1},{"year":2023,"count":4},{"year":2024,"count":4},{"year":2025,"count":3},{"year":2026,"count":2}],"oa_status":"green","license":"http://www.elsevier.com/open-access/userlicense/1.0/","oa_locations":[{"url":"https://escholarship.org/content/qt7h31c5kz/qt7h31c5kz.pdf?t=s8ha1s","host_type":"repository"},{"url":"https://escholarship.org/content/qt7h31c5kz/qt7h31c5kz.pdf?t=s8ha1s","host_type":"repository"},{"url":"https://api.elsevier.com/content/article/PII:S0920996422004819?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S0920996422004819?httpAccept=text/plain","host_type":"publisher"},{"url":"https://escholarship.org/uc/item/7h31c5kz","host_type":"repository"},{"url":"https://doi.org/10.1016/j.schres.2022.12.034","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/36608492","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9974828","host_type":"repository"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9974828/pdf/nihms-1862862.pdf","host_type":"repository"}],"fields_of_study":["Schizophrenia research and treatment","Bipolar Disorder and Treatment","Mental Health Research Topics"],"mesh_terms":["Bipolar Disorder","Cognition","Cross-Sectional Studies","Humans","Schizophrenia","Self-Assessment"],"keywords":["Bipolar disorder","Mood","Schizophrenia (object-oriented programming)","Effects of sleep deprivation on cognitive performance","Psychology","Affect (linguistics)","Cognition","Clinical psychology","Association (psychology)","Cognitive test","Psychiatry","Schizophrenia","Cognitive Functioning","Negative Affect","Ecological Momentary Assessment","Introspective Accuracy"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"No poverty"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-26T10:20:54.434749Z","pmid":null,"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":[]}