Unveiling Promising Neuroimaging Biomarkers for Schizophrenia Through Clinical and Genetic Perspectives.

IF 5.9 2区 医学 Q1 NEUROSCIENCES Neuroscience bulletin Pub Date : 2024-09-01 Epub Date: 2024-05-04 DOI:10.1007/s12264-024-01214-1
Jing Guo, Changyi He, Huimiao Song, Huiwu Gao, Shi Yao, Shan-Shan Dong, Tie-Lin Yang
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Abstract

Schizophrenia is a complex and serious brain disorder. Neuroscientists have become increasingly interested in using magnetic resonance-based brain imaging-derived phenotypes (IDPs) to investigate the etiology of psychiatric disorders. IDPs capture valuable clinical advantages and hold biological significance in identifying brain abnormalities. In this review, we aim to discuss current and prospective approaches to identify potential biomarkers for schizophrenia using clinical multimodal neuroimaging and imaging genetics. We first described IDPs through their phenotypic classification and neuroimaging genomics. Secondly, we discussed the applications of multimodal neuroimaging by clinical evidence in observational studies and randomized controlled trials. Thirdly, considering the genetic evidence of IDPs, we discussed how can utilize neuroimaging data as an intermediate phenotype to make association inferences by polygenic risk scores and Mendelian randomization. Finally, we discussed machine learning as an optimum approach for validating biomarkers. Together, future research efforts focused on neuroimaging biomarkers aim to enhance our understanding of schizophrenia.

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从临床和遗传学角度揭示治疗精神分裂症的前景良好的神经影像生物标志物。
精神分裂症是一种复杂而严重的脑部疾病。神经科学家对使用基于磁共振的脑成像衍生表型(IDPs)来研究精神疾病的病因越来越感兴趣。IDPs 在识别大脑异常方面具有宝贵的临床优势和生物学意义。在这篇综述中,我们旨在讨论利用临床多模态神经成像和成像遗传学识别精神分裂症潜在生物标记物的当前和前瞻性方法。我们首先通过表型分类和神经影像基因组学描述了 IDPs。其次,我们通过观察性研究和随机对照试验中的临床证据讨论了多模态神经成像的应用。第三,考虑到 IDPs 的遗传证据,我们讨论了如何利用神经影像数据作为中间表型,通过多基因风险评分和孟德尔随机化进行关联推断。最后,我们讨论了机器学习作为验证生物标记物的最佳方法。总之,未来以神经影像生物标志物为重点的研究工作旨在增进我们对精神分裂症的了解。
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来源期刊
Neuroscience bulletin
Neuroscience bulletin NEUROSCIENCES-
CiteScore
7.20
自引率
16.10%
发文量
163
审稿时长
6-12 weeks
期刊介绍: Neuroscience Bulletin (NB), the official journal of the Chinese Neuroscience Society, is published monthly by Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS) and Springer. NB aims to publish research advances in the field of neuroscience and promote exchange of scientific ideas within the community. The journal publishes original papers on various topics in neuroscience and focuses on potential disease implications on the nervous system. NB welcomes research contributions on molecular, cellular, or developmental neuroscience using multidisciplinary approaches and functional strategies. We feature full-length original articles, reviews, methods, letters to the editor, insights, and research highlights. As the official journal of the Chinese Neuroscience Society, which currently has more than 12,000 members in China, NB is devoted to facilitating communications between Chinese neuroscientists and their international colleagues. The journal is recognized as the most influential publication in neuroscience research in China.
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