• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

精神病生物型:来自B-SNIP联盟的复制与验证

Psychosis Biotypes: Replication and Validation from the B-SNIP Consortium.

作者信息

Clementz Brett A, Parker David A, Trotti Rebekah L, McDowell Jennifer E, Keedy Sarah K, Keshavan Matcheri S, Pearlson Godfrey D, Gershon Elliot S, Ivleva Elena I, Huang Ling-Yu, Hill S Kristian, Sweeney John A, Thomas Olivia, Hudgens-Haney Matthew, Gibbons Robert D, Tamminga Carol A

机构信息

Departments of Psychology and Neuroscience, BioImaging Research Center, University of Georgia, Athens, GA, USA.

Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA.

出版信息

Schizophr Bull. 2022 Jan 21;48(1):56-68. doi: 10.1093/schbul/sbab090.

DOI:10.1093/schbul/sbab090
PMID:34409449
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8781330/
Abstract

Current clinical phenomenological diagnosis in psychiatry neither captures biologically homologous disease entities nor allows for individualized treatment prescriptions based on neurobiology. In this report, we studied two large samples of cases with schizophrenia, schizoaffective, and bipolar I disorder with psychosis, presentations with clinical features of hallucinations, delusions, thought disorder, affective, or negative symptoms. A biomarker approach to subtyping psychosis cases (called psychosis Biotypes) captured neurobiological homology that was missed by conventional clinical diagnoses. Two samples (called "B-SNIP1" with 711 psychosis and 274 healthy persons, and the "replication sample" with 717 psychosis and 198 healthy persons) showed that 44 individual biomarkers, drawn from general cognition (BACS), motor inhibitory (stop signal), saccadic system (pro- and anti-saccades), and auditory EEG/ERP (paired-stimuli and oddball) tasks of psychosis-relevant brain functions were replicable (r's from .96-.99) and temporally stable (r's from .76-.95). Using numerical taxonomy (k-means clustering) with nine groups of integrated biomarker characteristics (called bio-factors) yielded three Biotypes that were virtually identical between the two samples and showed highly similar case assignments to subgroups based on cross-validations (88.5%-89%). Biotypes-1 and -2 shared poor cognition. Biotype-1 was further characterized by low neural response magnitudes, while Biotype-2 was further characterized by overactive neural responses and poor sensory motor inhibition. Biotype-3 was nearly normal on all bio-factors. Construct validation of Biotype EEG/ERP neurophysiology using measures of intrinsic neural activity and auditory steady state stimulation highlighted the robustness of these outcomes. Psychosis Biotypes may yield meaningful neurobiological targets for treatments and etiological investigations.

摘要

目前精神病学中的临床现象学诊断既无法捕捉到生物学上同源的疾病实体,也无法基于神经生物学进行个体化的治疗处方。在本报告中,我们研究了两组大样本病例,包括精神分裂症、分裂情感性障碍和伴有精神病性症状的双相I型障碍,这些病例表现出幻觉、妄想、思维紊乱、情感或阴性症状等临床特征。一种对精神病病例进行亚型分类的生物标志物方法(称为精神病生物型)捕捉到了传统临床诊断所遗漏的神经生物学同源性。两个样本(分别称为“B-SNIP1”,包含711例精神病患者和274名健康人,以及“复制样本”,包含717例精神病患者和198名健康人)显示,从与精神病相关的大脑功能的一般认知(BACS)、运动抑制(停止信号)、扫视系统(顺向和逆向扫视)以及听觉脑电图/事件相关电位(配对刺激和oddball)任务中提取的44种个体生物标志物具有可重复性(相关系数r为0.96 - 0.99)且在时间上稳定(相关系数r为0.76 - 0.95)。使用具有九组综合生物标志物特征(称为生物因子)的数值分类法(k均值聚类)产生了三种生物型,这两种样本中的生物型几乎相同,并且基于交叉验证显示出对亚组的病例分配高度相似(88.5% - 89%)。生物型1和生物型2的认知功能较差。生物型1的进一步特征是神经反应幅度较低,而生物型2的进一步特征是神经反应过度活跃且感觉运动抑制较差。生物型3在所有生物因子上几乎正常。使用内在神经活动测量和听觉稳态刺激对生物型脑电图/事件相关电位神经生理学进行的结构验证突出了这些结果的稳健性。精神病生物型可能为治疗和病因学研究提供有意义的神经生物学靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25f/8781330/56ee32bd8d38/sbab090f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25f/8781330/2aa3cd2af7b5/sbab090f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25f/8781330/6df9311b0370/sbab090f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25f/8781330/5ae7f249fc88/sbab090f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25f/8781330/d64c8e030948/sbab090f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25f/8781330/56ee32bd8d38/sbab090f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25f/8781330/2aa3cd2af7b5/sbab090f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25f/8781330/6df9311b0370/sbab090f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25f/8781330/5ae7f249fc88/sbab090f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25f/8781330/d64c8e030948/sbab090f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25f/8781330/56ee32bd8d38/sbab090f0005.jpg

相似文献

1
Psychosis Biotypes: Replication and Validation from the B-SNIP Consortium.精神病生物型:来自B-SNIP联盟的复制与验证
Schizophr Bull. 2022 Jan 21;48(1):56-68. doi: 10.1093/schbul/sbab090.
2
Identification of Distinct Psychosis Biotypes Using Brain-Based Biomarkers.利用基于脑的生物标志物识别不同的精神病生物型
Am J Psychiatry. 2016 Apr 1;173(4):373-84. doi: 10.1176/appi.ajp.2015.14091200. Epub 2015 Dec 7.
3
A Diagnosis and Biotype Comparison Across the Psychosis Spectrum: Investigating Volume and Shape Amygdala-Hippocampal Differences from the B-SNIP Study.精神分裂症谱系中的诊断和生物型比较:从 B-SNIP 研究中探究杏仁核-海马体的体积和形状差异。
Schizophr Bull. 2021 Oct 21;47(6):1706-1717. doi: 10.1093/schbul/sbab071.
4
Characterizing functional regional homogeneity (ReHo) as a B-SNIP psychosis biomarker using traditional and machine learning approaches.采用传统和机器学习方法,将功能区域同质性(ReHo)刻画为 B-SNIP 精神病生物标志物。
Schizophr Res. 2020 Jan;215:430-438. doi: 10.1016/j.schres.2019.07.015. Epub 2019 Aug 19.
5
Auditory Oddball Responses Across the Schizophrenia-Bipolar Spectrum and Their Relationship to Cognitive and Clinical Features.精神分裂症-双相谱系障碍的听觉 Oddball 反应及其与认知和临床特征的关系。
Am J Psychiatry. 2021 Oct 1;178(10):952-964. doi: 10.1176/appi.ajp.2021.20071043. Epub 2021 Aug 19.
6
Differentiating Biomarker Features and Familial Characteristics of B-SNIP Psychosis Biotypes.区分B-SNIP精神病变型的生物标志物特征和家族特征。
Res Sq. 2024 Jan 5:rs.3.rs-3702638. doi: 10.21203/rs.3.rs-3702638/v1.
7
Psychosis subgroups differ in intrinsic neural activity but not task-specific processing.精神病亚组在内在神经活动上存在差异,但在任务特异性处理上没有差异。
Schizophr Res. 2018 May;195:222-230. doi: 10.1016/j.schres.2017.08.023. Epub 2017 Aug 24.
8
Intrinsic neural activity differences among psychotic illnesses.精神疾病之间的内在神经活动差异。
Psychophysiology. 2017 Aug;54(8):1223-1238. doi: 10.1111/psyp.12875. Epub 2017 Apr 17.
9
Intrinsic neural activity differences in psychosis biotypes: Findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) consortium.精神病生物型的内在神经活动差异:双相情感障碍-精神分裂症中间型网络(B-SNIP)联盟的研究结果。
Biomark Neuropsychiatry. 2019 Dec;1. doi: 10.1016/j.bionps.2019.100002. Epub 2019 Oct 30.
10
Event-related potential and time-frequency endophenotypes for schizophrenia and psychotic bipolar disorder.精神分裂症和精神病性双相情感障碍的事件相关电位和时频内表型
Biol Psychiatry. 2015 Jan 15;77(2):127-36. doi: 10.1016/j.biopsych.2014.03.032. Epub 2014 May 4.

引用本文的文献

1
An open-access EEG dataset from indigenous African populations for schizophrenia research.一个来自非洲本土人群的用于精神分裂症研究的开放获取脑电图数据集。
Data Brief. 2025 Jul 28;62:111934. doi: 10.1016/j.dib.2025.111934. eCollection 2025 Oct.
2
Exposotypes in psychotic disorders.精神障碍中的暴露型。
Sci Rep. 2025 Aug 8;15(1):29003. doi: 10.1038/s41598-025-14438-6.
3
Functionally Adaptive Structural Basis Sets of the Brain: A Dynamic Fusion Approach.大脑的功能适应性结构基集:一种动态融合方法。

本文引用的文献

1
Auditory paired-stimuli responses across the psychosis and bipolar spectrum and their relationship to clinical features.精神病和双相情感障碍谱系中的听觉配对刺激反应及其与临床特征的关系。
Biomark Neuropsychiatry. 2020 Dec;3. doi: 10.1016/j.bionps.2020.100014. Epub 2020 May 12.
2
Intrinsic neural activity differences in psychosis biotypes: Findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) consortium.精神病生物型的内在神经活动差异:双相情感障碍-精神分裂症中间型网络(B-SNIP)联盟的研究结果。
Biomark Neuropsychiatry. 2019 Dec;1. doi: 10.1016/j.bionps.2019.100002. Epub 2019 Oct 30.
3
Hum Brain Mapp. 2025 Aug 1;46(11):e70302. doi: 10.1002/hbm.70302.
4
Toward Granular Brain Intrinsic Connectivity Networks and Insights into Schizophrenia.迈向精细的脑内固有连接网络及对精神分裂症的见解
bioRxiv. 2025 Jun 11:2025.06.11.659084. doi: 10.1101/2025.06.11.659084.
5
Neural fingerprints of data driven cognitive subtypes across the psychosis spectrum: a B-SNIP study.精神病谱系中数据驱动的认知亚型的神经指纹:一项B-SNIP研究
Transl Psychiatry. 2025 Jul 2;15(1):224. doi: 10.1038/s41398-025-03422-3.
6
Subtyping first-episode psychosis based on longitudinal symptom trajectories using machine learning.基于机器学习的纵向症状轨迹对首发精神病进行亚型分类。
Npj Ment Health Res. 2025 May 15;4(1):18. doi: 10.1038/s44184-025-00129-7.
7
Cerebral perfusion differences in the visual cortex and fusiform subregions across the psychosis spectrum.精神病谱系中视觉皮层和梭状回亚区域的脑灌注差异。
Front Psychiatry. 2025 Apr 29;16:1566184. doi: 10.3389/fpsyt.2025.1566184. eCollection 2025.
8
Cognitive performance and differentiation of B-SNIP psychosis Biotypes: Algorithmic Diagnostics for Efficient Prescription of Treatments (ADEPT) - 2.B-SNIP 精神病生物型的认知表现与鉴别:高效治疗处方算法诊断(ADEPT)-2
Biomark Neuropsychiatry. 2025 Jun;12. doi: 10.1016/j.bionps.2024.100117. Epub 2024 Dec 24.
9
Beyond reward learning deficits: Exploration-exploitation instability reveals computational heterogeneity in value-based decision making in early psychosis.超越奖赏学习缺陷:探索-利用不稳定性揭示了早期精神病基于价值决策中的计算异质性。
medRxiv. 2025 May 1:2025.04.29.25326698. doi: 10.1101/2025.04.29.25326698.
10
Alterations in Gray Matter Structure Linked to Frequency-Specific Cortico-Subcortical Connectivity in Schizophrenia via Multimodal Data Fusion.通过多模态数据融合,灰质结构改变与精神分裂症中特定频率的皮质-皮质下连接性相关。
Neuroinformatics. 2025 Apr 26;23(2):31. doi: 10.1007/s12021-025-09728-3.
Auditory Oddball Responses Across the Schizophrenia-Bipolar Spectrum and Their Relationship to Cognitive and Clinical Features.
精神分裂症-双相谱系障碍的听觉 Oddball 反应及其与认知和临床特征的关系。
Am J Psychiatry. 2021 Oct 1;178(10):952-964. doi: 10.1176/appi.ajp.2021.20071043. Epub 2021 Aug 19.
4
A Diagnosis and Biotype Comparison Across the Psychosis Spectrum: Investigating Volume and Shape Amygdala-Hippocampal Differences from the B-SNIP Study.精神分裂症谱系中的诊断和生物型比较:从 B-SNIP 研究中探究杏仁核-海马体的体积和形状差异。
Schizophr Bull. 2021 Oct 21;47(6):1706-1717. doi: 10.1093/schbul/sbab071.
5
Antisaccade error rates and gap effects in psychosis syndromes from bipolar-schizophrenia network for intermediate phenotypes 2 (B-SNIP2).双相-精神分裂症网络中间表 2(B-SNIP2)精神病综合征的反扫视错误率和缺口效应。
Psychol Med. 2022 Oct;52(13):2692-2701. doi: 10.1017/S003329172000478X. Epub 2021 Feb 24.
6
Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders.6 种精神障碍的皮质厚度虚拟组织学和共同神经生物学
JAMA Psychiatry. 2021 Jan 1;78(1):47-63. doi: 10.1001/jamapsychiatry.2020.2694.
7
Prediction, Not Association, Paves the Road to Precision Medicine.预测而非关联,为精准医学铺平道路。
JAMA Psychiatry. 2021 Feb 1;78(2):127-128. doi: 10.1001/jamapsychiatry.2020.2549.
8
Distinguishing patterns of impairment on inhibitory control and general cognitive ability among bipolar with and without psychosis, schizophrenia, and schizoaffective disorder.双相障碍伴或不伴精神病性症状、精神分裂症及分裂情感性障碍患者在抑制控制和一般认知能力方面的损伤特征差异。
Schizophr Res. 2020 Sep;223:148-157. doi: 10.1016/j.schres.2020.06.033. Epub 2020 Jul 14.
9
Testing Psychosis Phenotypes From Bipolar-Schizophrenia Network for Intermediate Phenotypes for Clinical Application: Biotype Characteristics and Targets.测试双相情感障碍-精神分裂症网络中用于临床应用的中间表型的精神病性表型:生物型特征与靶点
Biol Psychiatry Cogn Neurosci Neuroimaging. 2020 Aug;5(8):808-818. doi: 10.1016/j.bpsc.2020.03.011. Epub 2020 Apr 28.
10
The P300 event-related potential in bipolar disorder: A systematic review and meta-analysis.双相障碍的 P300 事件相关电位:系统评价和荟萃分析。
J Affect Disord. 2019 Sep 1;256:234-249. doi: 10.1016/j.jad.2019.06.010. Epub 2019 Jun 4.