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Neurocognition in first-episode schizophrenia: A meta-analytic review.
Abstract
Compromised neurocognition is a core feature of schizophrenia. Following Heinrichs and Zakzanis's (1998) seminal meta-analysis of middle-aged and predominantly chronic schizophrenia samples, the aim of this study is to provide a meta-analysis of neurocognitive findings from 47 studies of first-episode (FE) schizophrenia published through October 2007. The meta-analysis uses 43 separate samples of 2,204 FE patients with a mean age of 25.5 and 2,775 largely age- and gender-matched control participants. FE samples demonstrated medium-to-large impairments across 10 neurocognitive domains (mean effect sizes from -0.64 to -1.20). Findings indicate that impairments are reliably and broadly present by the FE, approach or match the degree of deficit shown in well-established illness, and are maximal in immediate verbal memory and processing speed. Larger IQ impairments in the FE compared to the premorbid period, but comparable to later phases of illness suggests deterioration between premorbid and FE phases followed by deficit stability at the group level. Considerable heterogeneity of effect sizes across studies, however, underscores variability in manifestations of the illness and a need for improved reporting of sample characteristics to support moderator variable analyses.
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“High rates of cognitive impairment in individuals experiencing psychosis have been found across multiple cognitive domains (Bokat & Goldberg, 2003;Dickinson et al., 2007;Mesholam-Gately et al., 2009).”
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In the citing paper
“Schizophrenia is associated with deficits in cognitive domains of executive functioning, processing speed, memory and attention (Mesholam-Gately et al., 2009; Keefe and Harvey, 2012).”
From Aerobic Exercise as a Tool to Improve Hippocampal Plasticity and Function in Humans: Practical Implications for Mental Health Treatment (2016) · cites this paper as Mesholam-Gately et al., 2009
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De novo mutations in schizophrenia implicate synaptic networks
Fromer, M., Pocklington, A. J., Kavanagh, D. H., Williams, H. J., Dwyer, S., Gormley, P., Georgieva, L., Rees, E., Palta, P., Ruderfer, D. M., et al. (2014) · Nature · doi:10.1038/nature12929 · Cited by 1,617
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Cognitive impairment in schizophrenia: aetiology, pathophysiology, and treatment
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CNVs conferring risk of autism or schizophrenia affect cognition in controls
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Metadata
- Authors
- Mesholam-Gately, R. I., Giuliano, A. J., Goff, K. P., Faraone, S. V., & Seidman, L. J.
- Affiliations
- Beth Israel Deaconess Medical Center (US)
- SUNY Upstate Medical University (US)
- Venue
- Neuropsychology
- Published
- 2009
- Volume
- 23
- Issue
- 3
- Pages
- 315-336
- ISSN
- 0894-4105 (ISSN-L)
- 1931-1559
- OpenAlex
- W1987834520
- Semantic Scholar
- 1f5bc4062ee07501c7114895394d11f0b51016c3
- Cited by
- 1,130
- References
- 133
- Citations by year
- 2026: 29 · 2025: 43 · 2024: 52 · 2023: 54 · 2022: 56 · 2021: 73 · 2020: 74 · 2019: 103 · 2018: 88 · 2017: 79 · 2016: 66 · 2015: 88 · 2014: 74 · 2013: 84 · 2012: 66
- FWCI
- 34.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuropsychology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Alliance for Research on Schizophrenia and Depression
- National Institute of Mental Health (P50MH080272, MH 43518; MH 63951; MH 65562)
- Department of Mental Health Research
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- first-episode schizophrenia, neurocognitive function, cognitive impairment, verbal memory, processing speed, IQ decline, premorbid intelligence, effect size heterogeneity
- MeSH terms
- Adult, Cognition Disorders, Humans, Intelligence, Memory, Neuropsychological Tests, Schizophrenia, Schizophrenic Psychology, Time Factors, Verbal Learning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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