• 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

使用独立成分分析重建和定位颅内 SEEG 的听觉源。

Reconstruction and localization of auditory sources from intracerebral SEEG using independent component analysis.

机构信息

Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille 13005, France.

Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille 13005, France; APHM, Timone Hospital, Epileptology and cerebral rhythmology, Marseille 13005, France.

出版信息

Neuroimage. 2023 Apr 1;269:119905. doi: 10.1016/j.neuroimage.2023.119905. Epub 2023 Jan 28.

DOI:10.1016/j.neuroimage.2023.119905
PMID:36720438
Abstract

Stereo-electroencephalography (SEEG) is the surgical implantation of electrodes in the brain to better localize the epileptic network in pharmaco-resistant epileptic patients. This technique has exquisite spatial and temporal resolution. Still, the number and the position of the electrodes in the brain is limited and determined by the semiology and/or preliminary non-invasive examinations, leading to a large number of unexplored brain structures in each patient. Here, we propose a new approach to reconstruct the activity of non-sampled structures in SEEG, based on independent component analysis (ICA) and dipole source localization. We have tested this approach with an auditory stimulation dataset in ten patients. The activity directly recorded from the auditory cortex served as ground truth and was compared to the ICA applied on all non-auditory electrodes. Our results show that the activity from the auditory cortex can be reconstructed at the single trial level from contacts as far as ∼40 mm from the source. Importantly, this reconstructed activity is localized via dipole fitting in the proximity of the original source. In addition, we show that the size of the confidence interval of the dipole fitting is a good indicator of the reliability of the result, which depends on the geometry of the SEEG implantation. Overall, our approach allows reconstructing the activity of structures far from the electrode locations, partially overcoming the spatial sampling limitation of intracerebral recordings.

摘要

立体脑电图(SEEG)是将电极植入大脑,以更好地定位药物抵抗性癫痫患者的癫痫网络。这项技术具有精细的时空分辨率。然而,大脑中电极的数量和位置是有限的,由症状学和/或初步的非侵入性检查决定,导致每个患者都有大量未被探索的大脑结构。在这里,我们提出了一种基于独立成分分析(ICA)和偶极子源定位的新方法,用于重建 SEEG 中非采样结构的活动。我们已经在 10 名患者的听觉刺激数据集上测试了这种方法。直接从听觉皮层记录的活动作为真实值,并与所有非听觉电极上应用的 ICA 进行比较。我们的结果表明,从距离源最远约 40mm 的触点可以在单次试验水平上重建听觉皮层的活动。重要的是,通过在原始源附近进行偶极子拟合,可以对重建的活动进行定位。此外,我们还表明,偶极子拟合置信区间的大小是结果可靠性的良好指标,这取决于颅内记录的植入几何形状。总体而言,我们的方法允许重建远离电极位置的结构的活动,部分克服了脑内记录的空间采样限制。

相似文献

1
Reconstruction and localization of auditory sources from intracerebral SEEG using independent component analysis.使用独立成分分析重建和定位颅内 SEEG 的听觉源。
Neuroimage. 2023 Apr 1;269:119905. doi: 10.1016/j.neuroimage.2023.119905. Epub 2023 Jan 28.
2
Comparison of beamformer and ICA for dynamic connectivity analysis: A simultaneous MEG-SEEG study.用于动态连接性分析的波束形成器与独立成分分析比较:一项同时进行的脑磁图-立体定向脑电图研究
Neuroimage. 2023 Jan;265:119806. doi: 10.1016/j.neuroimage.2022.119806. Epub 2022 Dec 10.
3
Virtual MEG sensors based on beamformer and independent component analysis can reconstruct epileptic activity as measured on simultaneous intracerebral recordings.基于波束形成器和独立成分分析的虚拟脑磁图传感器能够重建在同步脑内记录中所测量到的癫痫活动。
Neuroimage. 2022 Dec 1;264:119681. doi: 10.1016/j.neuroimage.2022.119681. Epub 2022 Oct 18.
4
Evaluating dipolar source localization feasibility from intracerebral SEEG recordings.评估颅内 SEEG 记录中的偶极子源定位可行性。
Neuroimage. 2014 Sep;98:118-33. doi: 10.1016/j.neuroimage.2014.04.058. Epub 2014 May 2.
5
Dipolar source localization from intracerebral SEEG recordings.基于颅内立体定向脑电图记录的偶极子源定位
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:41-4. doi: 10.1109/EMBC.2013.6609432.
6
Recording human electrocorticographic (ECoG) signals for neuroscientific research and real-time functional cortical mapping.记录用于神经科学研究和实时功能性皮层图谱绘制的人类皮层脑电图(ECoG)信号。
J Vis Exp. 2012 Jun 26(64):3993. doi: 10.3791/3993.
7
Localization of deep brain activity with scalp and subdural EEG.头皮和硬膜下 EEG 定位深部脑活动。
Neuroimage. 2020 Dec;223:117344. doi: 10.1016/j.neuroimage.2020.117344. Epub 2020 Sep 6.
8
The stereotactic approach for mapping epileptic networks: a prospective study of 200 patients.用于绘制癫痫网络的立体定向方法:一项对200例患者的前瞻性研究。
J Neurosurg. 2014 Nov;121(5):1239-46. doi: 10.3171/2014.7.JNS132306. Epub 2014 Aug 22.
9
SEEG in 3D: Interictal Source Localization From Intracerebral Recordings.三维立体脑电图(SEEG):基于脑内记录的发作间期源定位
Front Neurol. 2022 Feb 8;13:782880. doi: 10.3389/fneur.2022.782880. eCollection 2022.
10
Reliability of dipole models of epileptic spikes.癫痫棘波偶极子模型的可靠性
Clin Neurophysiol. 1999 Jun;110(6):1013-28. doi: 10.1016/s1388-2457(98)00062-5.

引用本文的文献

1
Intracranial Voltage Profiles from Untangled Human Deep Sources Reveal Multisource Composition and Source Allocation Bias.来自解开的人类深部源的颅内电压分布图揭示了多源组成和源分配偏差。
J Neurosci. 2025 Jan 1;45(1):e0695242024. doi: 10.1523/JNEUROSCI.0695-24.2024.
2
Identification of Early Hippocampal Dynamics during Recognition Memory with Independent Component Analysis.利用独立成分分析识别识别记忆早期海马动力学。
eNeuro. 2024 Apr 3;11(4). doi: 10.1523/ENEURO.0183-23.2023. Print 2024 Apr.
3
Combining independent component analysis and source localization for improving spatial sampling of stereoelectroencephalography in epilepsy.
结合独立成分分析和源定位以改善癫痫立体脑电图的空间采样
Sci Rep. 2024 Feb 19;14(1):4071. doi: 10.1038/s41598-024-54359-4.