{"doi":"10.1016/j.scog.2022.100254","title":"Examining the association of life course neurocognitive ability with real-world functioning in schizophrenia-spectrum disorders","abstract":null,"journal":"Schizophrenia Research: Cognition","year":2022,"id":653848,"datarank":0.40928897687778537,"base_score":2.302585092994046,"endowment":2.302585092994046,"self_citation_contribution":0.3453877639491069,"citation_network_contribution":0.06390121292867847,"self_endowment_contribution":0.3453877639491069,"citer_contribution":0.06390121292867847,"corpus_percentile":null,"corpus_rank":null,"citation_count":9,"citer_count":7,"citers_with_citation_signal":5,"citers_with_endowment":5,"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":1706106,"name":"Michael W. Best","orcid":null,"position":1,"is_corresponding":false},{"id":1048371,"name":"Christopher R. Bowie","orcid":"0000-0002-1983-8861","position":2,"is_corresponding":false},{"id":336752,"name":"Colin A. Depp","orcid":"0000-0002-1841-6229","position":3,"is_corresponding":false},{"id":404096,"name":"Thomas L. Patterson","orcid":"0000-0003-2311-6164","position":4,"is_corresponding":false},{"id":406529,"name":"David L. Penn","orcid":"0000-0003-4567-0166","position":5,"is_corresponding":false},{"id":414157,"name":"Amy E. Pinkham","orcid":"0000-0003-2803-4520","position":6,"is_corresponding":false},{"id":178493,"name":"Philip D. Harvey","orcid":"0000-0002-9501-9366","position":7,"is_corresponding":false},{"id":1706105,"name":"Sylvia Romanowska","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Examining the association of life course neurocognitive ability with real-world functioning in schizophrenia-spectrum disorders","abstract":"There is considerable variability in neurocognitive functioning within schizophrenia-spectrum disorders, and neurocognitive performance ranges from severe global impairment to normative performance. Few investigations of neurocognitive clusters have considered the degree to which deterioration relative to premorbid neurocognitive abilities is related to key illness characteristics. Moreover, while neurocognition and community functioning are strongly related, understanding of the sources of variability in the association between these two domains is also limited; it is unknown what proportion of participants would over-perform or under-perform the level of functioning expected based on current neurocognitive performance vs. lifelong attainment. This study examined data from 954 outpatients with schizophrenia-spectrum disorders across three previous studies. Neurocognition, community functioning, and symptoms were assessed. Neurocognitive subgroups were created based on current neurocognition, estimated premorbid IQ, and degree of deterioration from premorbid using z-score cut-offs; functional subgroups were created with cluster analysis based on the Specific Level of Functioning Scale and current neurocognition. The sample was neurocognitively heterogeneous; 65% displayed current neurocognitive impairment and 84% experienced some level of deterioration. Thirty percent of our sample was relatively higher functioning despite significant neurocognitive impairment. Individuals with better community functioning, regardless of neurocognitive performance, had lower symptom severity compared to those with worse functioning. These results highlight the variability in neurocognition and its role in functioning. Understanding individual differences in neurocognitive and functional profiles and the interaction between prior and current cognitive functioning can guide individualized treatment and selection of participants for clinical treatment studies.","is_dataset_classified":null,"base_score":2.302585092994046,"endowment":2.302585092994046,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"35521291","pmcid":"PMC9062312","openalex_id":"https://openalex.org/W4224917951","authors":[],"funders":[{"funder_name":"National Institute of Mental Health","grant_id":"MH078737","title":null},{"funder_name":"National Institute of Mental Health","grant_id":"MH078775","title":null},{"funder_name":"National Institute of Mental Health","grant_id":"R01MH079784","title":null},{"funder_name":"National Institute of Mental Health","grant_id":"R01MH093432","title":null},{"funder_name":"National Institutes of Health","grant_id":"5R01MH079784-02","title":"Chronic Psychiatric Disorders: Linking Genes to Functional Disability"},{"funder_name":"National Institutes of Health","grant_id":"1R01MH093432-01A1","title":"Social Cognition Psychometric Evaluation"}],"total_grants":6,"fwci":1.2688,"citation_percentile":0.77955358,"influential_citations":0,"citation_trend":[{"year":2023,"count":4},{"year":2024,"count":3},{"year":2025,"count":2}],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://www.sciencedirect.com/science/article/pii/S2215001322000191/pdf","host_type":"journal"},{"url":"https://www.sciencedirect.com/science/article/pii/S2215001322000191/pdf","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S2215001322000191?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S2215001322000191?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.scog.2022.100254","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/35521291","host_type":"repository"},{"url":"https://doaj.org/article/040079e4c21044468e18fb1cafab787a","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9062312","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC9062312","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC9062312?pdf=render","host_type":"Europe_PMC"},{"url":"https://dx.doi.org/10.17615/6yc4-7d47","host_type":""},{"url":"http://dx.doi.org/10.1016/j.scog.2022.100254","host_type":""},{"url":"https://hdl.handle.net/20.500.14802/28499","host_type":""},{"url":"https://doi.org/https://doi.org/10.1016/j.scog.2022.100254","host_type":""}],"fields_of_study":["Schizophrenia research and treatment","Mental Health and Psychiatry","Functional Brain Connectivity Studies","03 medical and health sciences","0302 clinical medicine"],"mesh_terms":[],"keywords":["Neurocognitive","Psychology","Schizophrenia (object-oriented programming)","Clinical psychology","Association (psychology)","Cognition","Neuropsychology","Psychiatry","Psychotherapist","Cluster analysis","Schizophrenia","Functioning","Psychosis","Neurocognition","150","Article","Neurology. 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