• 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

fMRI 捕获听觉幻觉:两步法的验证。

fMRI capture of auditory hallucinations: Validation of the two-steps method.

机构信息

Univ Lille, CNRS, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, Lille, F-59000, France.

CHU Lille, Psychiatry Dpt., CURE platform, Lille, F-59000, France.

出版信息

Hum Brain Mapp. 2017 Oct;38(10):4966-4979. doi: 10.1002/hbm.23707. Epub 2017 Jun 28.

DOI:10.1002/hbm.23707
PMID:28660668
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6866805/
Abstract

Our purpose was to validate a reliable method to capture brain activity concomitant with hallucinatory events, which constitute frequent and disabling experiences in schizophrenia. Capturing hallucinations using functional magnetic resonance imaging (fMRI) remains very challenging. We previously developed a method based on a two-steps strategy including (1) multivariate data-driven analysis of per-hallucinatory fMRI recording and (2) selection of the components of interest based on a post-fMRI interview. However, two tests still need to be conducted to rule out critical pitfalls of conventional fMRI capture methods before this two-steps strategy can be adopted in hallucination research: replication of these findings on an independent sample and assessment of the reliability of the hallucination-related patterns at the subject level. To do so, we recruited a sample of 45 schizophrenia patients suffering from frequent hallucinations, 20 schizophrenia patients without hallucinations and 20 matched healthy volunteers; all participants underwent four different experiments. The main findings are (1) high accuracy in reporting unexpected sensory stimuli in an MRI setting; (2) good detection concordance between hypothesis-driven and data-driven analysis methods (as used in the two-steps strategy) when controlled unexpected sensory stimuli are presented; (3) good agreement of the two-steps method with the online button-press approach to capture hallucinatory events; (4) high spatial consistency of hallucinatory-related networks detected using the two-steps method on two independent samples. By validating the two-steps method, we advance toward the possible transfer of such technology to new image-based therapies for hallucinations. Hum Brain Mapp 38:4966-4979, 2017. © 2017 Wiley Periodicals, Inc.

摘要

我们的目的是验证一种可靠的方法,以捕捉与幻觉事件同时发生的大脑活动,这些事件在精神分裂症中经常发生且具有致残性。使用功能磁共振成像(fMRI)捕捉幻觉仍然极具挑战性。我们之前开发了一种基于两步策略的方法,包括(1)对每个幻觉的 fMRI 记录进行多元数据驱动分析,以及(2)基于 fMRI 后访谈选择感兴趣的成分。然而,在采用两步策略进行幻觉研究之前,还需要进行两项测试来排除传统 fMRI 捕获方法的关键缺陷:在独立样本上复制这些发现,以及评估受试者水平的幻觉相关模式的可靠性。为此,我们招募了 45 名经常出现幻觉的精神分裂症患者、20 名没有幻觉的精神分裂症患者和 20 名匹配的健康志愿者;所有参与者都进行了四项不同的实验。主要发现包括:(1)在 MRI 环境中报告意外感官刺激的高准确率;(2)当呈现受控制的意外感官刺激时,假设驱动和数据驱动分析方法(如两步策略中使用的方法)之间具有良好的检测一致性;(3)两步法与在线按钮按压方法捕捉幻觉事件的良好一致性;(4)在两个独立样本上使用两步法检测到的幻觉相关网络具有高度的空间一致性。通过验证两步法,我们朝着将这种技术转移到新的基于图像的幻觉治疗方法的方向迈进。人类大脑映射 38:4966-4979, 2017。©2017 威利期刊公司。

相似文献

1
fMRI capture of auditory hallucinations: Validation of the two-steps method.fMRI 捕获听觉幻觉:两步法的验证。
Hum Brain Mapp. 2017 Oct;38(10):4966-4979. doi: 10.1002/hbm.23707. Epub 2017 Jun 28.
2
Prediction of activation patterns preceding hallucinations in patients with schizophrenia using machine learning with structured sparsity.使用具有结构稀疏性的机器学习预测精神分裂症患者幻觉前的激活模式。
Hum Brain Mapp. 2018 Apr;39(4):1777-1788. doi: 10.1002/hbm.23953. Epub 2018 Jan 16.
3
Network dynamics during the different stages of hallucinations in schizophrenia.精神分裂症幻觉不同阶段的网络动力学。
Hum Brain Mapp. 2016 Jul;37(7):2571-86. doi: 10.1002/hbm.23197. Epub 2016 Mar 26.
4
Hallucination- and speech-specific hypercoupling in frontotemporal auditory and language networks in schizophrenia using combined task-based fMRI data: An fBIRN study.使用基于任务的 fMRI 数据联合分析:精神分裂症中额颞听觉和语言网络的幻觉和言语特异性超连接:fBIRN 研究。
Hum Brain Mapp. 2018 Apr;39(4):1582-1595. doi: 10.1002/hbm.23934. Epub 2017 Dec 21.
5
The multimodal connectivity of the hippocampal complex in auditory and visual hallucinations.听觉和视觉幻觉中海马复合体的多模态连接。
Mol Psychiatry. 2014 Feb;19(2):184-91. doi: 10.1038/mp.2012.181. Epub 2013 Jan 15.
6
Real-time fMRI neurofeedback modulates induced hallucinations and underlying brain mechanisms.实时 fMRI 神经反馈调节诱导幻觉及其潜在的大脑机制。
Commun Biol. 2024 Sep 11;7(1):1120. doi: 10.1038/s42003-024-06842-x.
7
Structure/function interrelationships in patients with schizophrenia who have persistent auditory verbal hallucinations: A multimodal MRI study using parallel ICA.精神分裂症患者持续性听觉言语幻听的结构/功能关系:使用平行 ICA 的多模态 MRI 研究。
Prog Neuropsychopharmacol Biol Psychiatry. 2019 Jul 13;93:114-121. doi: 10.1016/j.pnpbp.2019.03.007. Epub 2019 Mar 16.
8
Identifying first-episode drug naïve patients with schizophrenia with or without auditory verbal hallucinations using whole-brain functional connectivity: A pattern analysis study.基于全脑功能连接的模式分析:识别有或无幻听的首发未用药精神分裂症患者。
Neuroimage Clin. 2018 Apr 26;19:351-359. doi: 10.1016/j.nicl.2018.04.026. eCollection 2018.
9
What can we learn from fMRI capture of visual hallucinations in Parkinson's disease?我们能从帕金森病患者 fMRI 捕获的视幻觉中学到什么?
Brain Imaging Behav. 2020 Apr;14(2):329-335. doi: 10.1007/s11682-019-00185-6.
10
Disrupted network cross talk, hippocampal dysfunction and hallucinations in schizophrenia.精神分裂症中的紊乱网络串扰、海马功能障碍和幻觉。
Schizophr Res. 2018 Sep;199:226-234. doi: 10.1016/j.schres.2018.03.004. Epub 2018 Mar 21.

引用本文的文献

1
Real-Time Symptom Capture of Hallucinations in Schizophrenia with fMRI: Absence of Duration-Dependent Activity.利用功能磁共振成像实时捕捉精神分裂症患者幻觉症状:不存在持续时间依赖性活动。
Schizophr Bull Open. 2022 Jul 28;3(1):sgac050. doi: 10.1093/schizbullopen/sgac050. eCollection 2022 Jan.
2
fMRI fluctuations within the language network are correlated with severity of hallucinatory symptoms in schizophrenia.精神分裂症患者语言网络内的功能磁共振成像波动与幻觉症状的严重程度相关。
Schizophrenia (Heidelb). 2023 Oct 30;9(1):75. doi: 10.1038/s41537-023-00401-9.
3
Reduced neural connectivity in the caudate anterior head predicts hallucination severity in schizophrenia.尾状核前头部的神经连接减少可预测精神分裂症幻觉的严重程度。
Schizophr Res. 2023 Nov;261:1-5. doi: 10.1016/j.schres.2023.08.030. Epub 2023 Sep 6.
4
Subcortical control of the default mode network: Role of the basal forebrain and implications for neuropsychiatric disorders.皮质下对默认模式网络的控制:基底前脑的作用及其对神经精神疾病的影响。
Brain Res Bull. 2022 Jul;185:129-139. doi: 10.1016/j.brainresbull.2022.05.005. Epub 2022 May 11.
5
Hallucinations Under Psychedelics and in the Schizophrenia Spectrum: An Interdisciplinary and Multiscale Comparison.迷幻剂和精神分裂症谱系下的幻觉:跨学科和多尺度比较。
Schizophr Bull. 2020 Dec 1;46(6):1396-1408. doi: 10.1093/schbul/sbaa117.
6
The neural correlates of the visual consciousness in schizophrenia: an fMRI study.精神分裂症视觉意识的神经相关性:一项 fMRI 研究。
Eur Arch Psychiatry Clin Neurosci. 2021 Jun;271(4):661-675. doi: 10.1007/s00406-020-01167-2. Epub 2020 Aug 19.
7
Advancing clinical response characterization to frontotemporal transcranial direct current stimulation with electric field distribution in patients with schizophrenia and auditory hallucinations: a pilot study.通过电场分布推进精神分裂症伴幻听患者额颞经颅直流电刺激的临床反应特征研究:一项初步研究。
Eur Arch Psychiatry Clin Neurosci. 2021 Feb;271(1):85-92. doi: 10.1007/s00406-020-01149-4. Epub 2020 Jun 12.
8
Draining the pond and catching the fish: Uncovering the ecosystem of auditory verbal hallucinations.抽干池塘,抓住鱼:揭示听觉言语幻觉的生态系统。
Neuroimage Clin. 2018;20:830-843. doi: 10.1016/j.nicl.2018.09.016. Epub 2018 Sep 21.
9
Prediction of activation patterns preceding hallucinations in patients with schizophrenia using machine learning with structured sparsity.使用具有结构稀疏性的机器学习预测精神分裂症患者幻觉前的激活模式。
Hum Brain Mapp. 2018 Apr;39(4):1777-1788. doi: 10.1002/hbm.23953. Epub 2018 Jan 16.

本文引用的文献

1
Hallucinations in schizophrenia and Parkinson's disease: an analysis of sensory modalities involved and the repercussion on patients.精神分裂症和帕金森病中的幻觉:涉及感觉模式的分析及其对患者的影响。
Sci Rep. 2016 Dec 1;6:38152. doi: 10.1038/srep38152.
2
Interaction of language, auditory and memory brain networks in auditory verbal hallucinations.听觉性言语幻觉中语言、听觉和记忆脑网络的相互作用。
Prog Neurobiol. 2017 Jan;148:1-20. doi: 10.1016/j.pneurobio.2016.11.002. Epub 2016 Nov 24.
3
Untangling the relatedness among correlations, Part II: Inter-subject correlation group analysis through linear mixed-effects modeling.厘清相关性之间的关联,第二部分:通过线性混合效应模型进行受试者间相关性组分析。
Neuroimage. 2017 Feb 15;147:825-840. doi: 10.1016/j.neuroimage.2016.08.029. Epub 2016 Oct 15.
4
Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates.聚类失效:为何功能磁共振成像在空间范围推断上存在过高的假阳性率。
Proc Natl Acad Sci U S A. 2016 Jul 12;113(28):7900-5. doi: 10.1073/pnas.1602413113. Epub 2016 Jun 28.
5
Auditory Hallucinations and the Brain's Resting-State Networks: Findings and Methodological Observations.幻听与大脑静息态网络:研究发现与方法学观察
Schizophr Bull. 2016 Sep;42(5):1110-23. doi: 10.1093/schbul/sbw078. Epub 2016 Jun 8.
6
Network dynamics during the different stages of hallucinations in schizophrenia.精神分裂症幻觉不同阶段的网络动力学。
Hum Brain Mapp. 2016 Jul;37(7):2571-86. doi: 10.1002/hbm.23197. Epub 2016 Mar 26.
7
No-Report and Report-Based Paradigms Jointly Unravel the NCC: Response to Overgaard and Fazekas.无报告和基于报告的范式共同揭示神经嵴细胞:对奥弗加德和法泽卡斯的回应
Trends Cogn Sci. 2016 Apr;20(4):242-243. doi: 10.1016/j.tics.2016.01.006. Epub 2016 Feb 15.
8
Can No-Report Paradigms Extract True Correlates of Consciousness?无报告范式能否提取意识的真正关联因素?
Trends Cogn Sci. 2016 Apr;20(4):241-242. doi: 10.1016/j.tics.2016.01.004. Epub 2016 Feb 12.
9
No-Report Paradigms: Extracting the True Neural Correlates of Consciousness.无报告范式:提取意识的真正神经相关物。
Trends Cogn Sci. 2015 Dec;19(12):757-770. doi: 10.1016/j.tics.2015.10.002. Epub 2015 Nov 13.
10
Motor Readiness Increases Brain Connectivity Between Default-Mode Network and Motor Cortex: Impact on Sampling Resting Periods from fMRI Event-Related Studies.运动准备增强默认模式网络与运动皮层之间的大脑连通性:对功能磁共振成像事件相关研究中静息期采样的影响。
Brain Connect. 2015 Dec;5(10):631-40. doi: 10.1089/brain.2014.0332. Epub 2015 Sep 29.