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同步高频振荡对皮质功能模块的结合

Binding of cortical functional modules by synchronous high-frequency oscillations

Nature 等信源发布 2024-08-12 19:47

可切换为仅中文

AbstractWhether high-frequency phase-locked oscillations facilitate integration (‘binding’) of information across widespread cortical areas is controversial. Here we show with intracranial electroencephalography that cortico-cortical co-ripples (~100-ms-long ~90 Hz oscillations) increase during reading and semantic decisions, at the times and co-locations when and where binding should occur.

摘要高频锁相振荡是否有助于跨广泛皮层区域的信息整合（“结合”）是有争议的。在这里，我们通过颅内脑电图显示，在阅读和语义决策期间，在应该发生结合的时间和地点，皮质-皮质共同涟漪（约100毫秒长〜90赫兹振荡）增加。

Fusiform wordform areas co-ripple with virtually all language areas, maximally from 200 to 400 ms post-word-onset. Semantically specified target words evoke strong co-rippling between wordform, semantic, executive and response areas from 400 to 800 ms, with increased co-rippling between semantic, executive and response areas prior to correct responses.

梭形词形区域与几乎所有语言区域共同波动，最多在单词出现后200至400毫秒。语义指定的目标词在400到800毫秒的词形，语义，执行和响应区域之间引起强烈的共同涟漪，在正确的响应之前，语义，执行和响应区域之间的共同涟漪增加。

Co-ripples were phase-locked at zero lag over long distances (>12 cm), especially when many areas were co-rippling. General co-activation, indexed by non-oscillatory high gamma, was mainly confined to early latencies in fusiform and earlier visual areas, preceding co-ripples. These findings suggest that widespread synchronous co-ripples may assist the integration of multiple cortical areas for sustained periods during cognition..

Co涟漪在长距离（>12cm）上以零滞后锁相，特别是当许多区域共同涟漪时。以非振荡高伽马指数为指标的一般共激活主要限于梭形和早期视觉区域的早期潜伏期，即共波纹之前。这些发现表明，广泛的同步涟漪可能有助于在认知过程中持续整合多个皮层区域。。

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Fig. 1: Cortical ripple and co-ripple characteristics during a reading task.Fig. 2: Co-ripple and co-HGB initial responses to words.Fig. 3: Cortical co-ripples selective for words and semantic decisions.Fig. 4: Response accuracy.Fig. 5: Comparison of controls to co-ripple target responses.Fig. 6: Widespread left-hemisphere phase-locking..

图1：阅读任务期间的皮质纹波和共纹波特征。图2:Co-ripple和Co-HGB对单词的初始响应。图3：对单词和语义决策有选择性的皮质共同涟漪。图4：响应精度。图5：控制与共同涟漪目标响应的比较。图6：广泛的左半球锁相。。

Data availability

数据可用性

The data underlying the present study including electrode localization, ripple detections, phase data and other ripple characteristics are publicly available via Zenodo at https://doi.org/10.1101/2023.05.20.541597 (ref. 73) for density analyses and https://doi.org/10.5281/zenodo.12520199 (ref. 74) for phase analyses.

本研究的基础数据包括电极定位、纹波检测、相位数据和其他纹波特征，可通过Zenodo在https://doi.org/10.1101/2023.05.20.541597（参考文献73）用于密度分析和https://doi.org/10.5281/zenodo.12520199（参考文献74）用于相分析。

Imaging and raw intracranial recordings are available upon reasonable request to the corresponding author..

成像和原始颅内记录可根据通讯作者的合理要求提供。。

Code availability

代码可用性

The MATLAB code underlying the present study is available via Zenodo at https://doi.org/10.1101/2023.05.20.541597 (ref. 73) for co-ripple density analyses and at https://doi.org/10.5281/zenodo.12520199 (ref. 74) for phase-related analyses. Code implementing previously published methods for ripple detection is available on GitHub (https://github.com/iverzh/ripple-detection)..

本研究的MATLAB代码可通过Zenodo获得https://doi.org/10.1101/2023.05.20.541597（参考文献73）用于co波纹密度分析和https://doi.org/10.5281/zenodo.12520199（参考文献74）进行阶段相关分析。GitHub上提供了实现先前发布的纹波检测方法的代码(https://github.com/iverzh/ripple-detection)。。

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C、 等人。通过同步高频振荡结合皮质功能模块。泽诺多https://doi.org/10.1101/2023.05.20.541597（2023年）。Garrett，J。通过同步高频振荡结合皮质功能模块（相位分析）。泽诺多https://doi.org/10.5281/zenodo.12520199（2024年）。下载参考文献致谢我们感谢C。

Dickey, B. Rosen, L. Breston, E. Mukamel and S. Kajfez for their support. This project was funded by National Institutes of Health grant no. MH117155 (E.H.), National Institutes of Health grant no. T32MH020002 (J.C.G.) and Office of Naval Research grant no. N00014-16-1-2829 (E.H.). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.Author informationAuthor notesThese authors contributed equally: Thomas Thesen, Eric Halgren.Authors and AffiliationsNeurosciences Graduate Program, University of California, San Diego, La Jolla, CA, USAJacob C.

Dickey，B。Rosen，L。Breston，E。Mukamel和S。Kajfez的支持。该项目由National Institutes of Health grant no.MH117155（E.H.）、National Institutes of Health grant no.T32MH020002（J.C.G.）和海军研究办公室grant no.N00014-16-1-2829（E.H.）资助。资助者在研究设计，数据收集和分析，决定发表或准备稿件方面没有任何作用。作者信息作者注意到这些作者做出了同样的贡献：托马斯·特森，埃里克·哈格伦。作者和附属机构美国加利福尼亚大学圣地亚哥分校神经科学研究生课程。

Garrett & Ilya A. VerzhbinskyMedical Scientist Training Program, University of California, San Diego, La Jolla, CA, USAIlya A. VerzhbinskyCenter for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USAErik KaestnerDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USAChad CarlsonDepartment of Neurosurgery, New York University Langone School of Medicine, New York, NY, USAWerner K.

Garrett＆Ilya A.Verzhbinsky医学科学家培训计划，加利福尼亚大学圣地亚哥分校，加利福尼亚州拉霍亚，USAIlya A.Verzhbinsky多模式成像和遗传学中心，加利福尼亚大学圣地亚哥分校，加利福尼亚州拉霍亚，USAErik KAESTNER威斯康星州医学院神经病学系，威斯康星州密尔沃基，威斯康星州，USAChad卡尔森纽约大学朗根医学院神经外科，纽约，USAWerner K。

DoyleDepartment of Neurology, New York University Langone School.

纽约大学朗根学院多伊尔神经病学系。

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PubMed Google ScholarContributionsConceptualization: E.H. Data curation: J.C.G., E.K., I.A.V. and T.T. Formal analysis: J.C.G., I.A.V. and E.H. Funding acquisition: E.H., T.T. and O.D. Investigation: T.T., C.C., W.K.D., O.D. and E.H. Methodology: J.C.G. and E.H. Project administration: E.H., T.T.

PubMed谷歌学术贡献概念化：E.H.数据管理：J.C.G.，E.K.，I.A.V.和T.T.正式分析：J.C.G.，I.A.V.和E.H.资金获取：E.H.，T.T.和O.D.调查：T.T.，C.C.，W.K.D.，O.D.和E.H.方法论：J.C.G.和E.H.项目管理：E.H.，T.T。

and O.D. Resources: O.D., W.K.D. and C.C. Software: J.C.G. and I.A.V. Supervision: E.H. and T.T. Visualization: J.C.G. Writing—original draft: E.H. and J.C.G. Writing—review and editing: E.H. and J.C.G.Corresponding authorCorrespondence to.

和O.D.资源：O.D.，W.K.D.和C.C.软件：J.C.G.和I.A.V.监督：E.H.和T.T.可视化：J.C.G.撰写原稿：E.H.和J.C.G.写作评论和编辑：E.H.和J.C.G.相应的作者回复。

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Nature Human Behaviour thanks the anonymous reviewers for their contribution to the peer review of this work.

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et al. Binding of cortical functional modules by synchronous high-frequency oscillations..

等人。通过同步高频振荡结合皮质功能模块。。

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