Neurocognitive Deficits in Individuals at Ultra-High-Risk for Psychosis: An Overview of Systematic Reviews.

Q2 Medicine
Farnaz Asadiof, Mona Zamanpour, Ali Fawzi Al-Hussainy, Alhan Abd Al-Hassan Shalal, Mohammed Ubaid, Zinab H Aluquaily, Seyed Hamidreza Hashemian
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Abstract

Objective: Identifying individuals at ultra-high risk for psychosis (UHRP) is crucial for early intervention and prevention strategies. Neurocognitive deficits have been increasingly recognized as potential predictors of psychosis onset. This overview aims to consolidate current evidence and elucidate the role of neurocognitive predictors in identifying UHRP individuals. Method : we systematically searched three scientific databases, i.e., PubMed, Scopus, and Google Scholar using predefined keywords related to predictive neurocognitive markers and ultra-high risk psychosis. By following the PRISMA procedure, we included all relevant systematic-reviews and meta-analyses in our data-synthesis. Results: Neurocognitive deficits, including impairments in working memory, attentional control, verbal learning, and executive functions, have been consistently identified as predictors of psychosis conversion in individuals at UHRP. Structural and functional neuroimaging studies have further revealed aberrant brain connectivity, reduced gray matter volume, and altered neural activation patterns in key brain regions to be involved in psychosis. Moreover, the combination of neurocognitive and clinical risk factors has been shown to enhance the accuracy of predicting psychosis onset and inform personalized intervention strategies. Conclusion: Neurocognitive deficits serve as valuable predictors of the risk of psychosis in individuals with UHRP, offering insights into the underlying neurobiological mechanisms and potential targets for early intervention. Future research should focus on refining predictive models, elucidating the neurodevelopmental trajectories, and evaluating the efficacy of targeted interventions in mitigating the psychosis risk.

精神病高危人群的神经认知缺陷:系统综述
目的:识别精神病超高风险个体(UHRP)对早期干预和预防策略至关重要。神经认知缺陷越来越被认为是精神病发病的潜在预测因素。本综述旨在巩固现有证据并阐明神经认知预测因子在识别维吾尔人项目个体中的作用。方法:系统检索PubMed、Scopus和谷歌Scholar三个科学数据库,使用与预测性神经认知标志物和超高风险精神病相关的预定义关键词。通过遵循PRISMA程序,我们在数据合成中纳入了所有相关的系统评价和元分析。结果:神经认知缺陷,包括工作记忆、注意力控制、语言学习和执行功能的损伤,一直被认为是维吾尔人权项目中个体精神病转化的预测因素。结构和功能神经影像学研究进一步揭示了异常的大脑连通性,减少的灰质体积,以及大脑关键区域神经激活模式的改变与精神病有关。此外,神经认知和临床危险因素的结合已被证明可以提高预测精神病发作的准确性,并为个性化干预策略提供信息。结论:神经认知缺陷是UHRP患者精神病风险的有价值的预测因素,为潜在的神经生物学机制和早期干预的潜在目标提供了见解。未来的研究应侧重于完善预测模型,阐明神经发育轨迹,并评估有针对性的干预措施在减轻精神病风险方面的效果。
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来源期刊
Iranian Journal of Psychiatry
Iranian Journal of Psychiatry Medicine-Psychiatry and Mental Health
CiteScore
4.00
自引率
0.00%
发文量
42
审稿时长
4 weeks
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