Protocol for detecting and analyzing non-oscillatory traveling waves from high-spatiotemporal-resolution human electrophysiological recordings
Summary: Innovations in electrophysiological recordings and computational analytic techniques enable high-resolution analysis of neural traveling waves. Here, we present a protocol for the detection and analysis of traveling waves from multi-day microelectrode array human electrophysiological record...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | STAR Protocols |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666166725000656 |
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| author | Veronica M. Zarr Jyun-You Liou Edward M. Merricks Tyler S. Davis Kyle Thomson Bradley Greger Paul A. House Ronald G. Emerson Robert R. Goodman Guy M. McKhann, II Sameer A. Sheth Catherine A. Schevon John D. Rolston Elliot H. Smith |
| author_facet | Veronica M. Zarr Jyun-You Liou Edward M. Merricks Tyler S. Davis Kyle Thomson Bradley Greger Paul A. House Ronald G. Emerson Robert R. Goodman Guy M. McKhann, II Sameer A. Sheth Catherine A. Schevon John D. Rolston Elliot H. Smith |
| author_sort | Veronica M. Zarr |
| collection | DOAJ |
| description | Summary: Innovations in electrophysiological recordings and computational analytic techniques enable high-resolution analysis of neural traveling waves. Here, we present a protocol for the detection and analysis of traveling waves from multi-day microelectrode array human electrophysiological recordings through a multi-linear regression statistical approach using point estimator data. We describe steps for traveling wave detection, feature characterization, and propagation pattern analysis. This protocol may improve our understanding of the coordination of neurons during non-oscillatory neural dynamics.For complete details on the use and execution of this protocol, please refer to Smith et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. |
| format | Article |
| id | doaj-art-a44f912df2df4e2d81d217140a0bb0e1 |
| institution | OA Journals |
| issn | 2666-1667 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | STAR Protocols |
| spelling | doaj-art-a44f912df2df4e2d81d217140a0bb0e12025-08-20T01:47:28ZengElsevierSTAR Protocols2666-16672025-03-016110365910.1016/j.xpro.2025.103659Protocol for detecting and analyzing non-oscillatory traveling waves from high-spatiotemporal-resolution human electrophysiological recordingsVeronica M. Zarr0Jyun-You Liou1Edward M. Merricks2Tyler S. Davis3Kyle Thomson4Bradley Greger5Paul A. House6Ronald G. Emerson7Robert R. Goodman8Guy M. McKhann, II9Sameer A. Sheth10Catherine A. Schevon11John D. Rolston12Elliot H. Smith13Neurosurgery Department, University of Utah, Salt Lake City, UT 84117, USA; Corresponding authorDepartment of Anesthesiology, Weill Cornell Medicine, New York, NY 10065, USADepartment of Neurology, Columbia University, New York, NY 10032, USANeurosurgery Department, University of Utah, Salt Lake City, UT 84117, USADepartment of Pharmacology & Toxicology, University of Utah, Salt Lake City, UT 84117, USASchool of Biological & Health Systems Engineering, Arizona State University, Tempe, AZ 85281, USANeurosurgical Associates, LLC, Murray, UT 84107, USAHospital for Special Surgery, New York, NY 10021, USALenox Hill Hospital, New York, NY 10075, USADepartment of Neurological Surgery, Columbia University, New York, NY 10032, USADepartment of Neurosurgery, Baylor College of Medicine, Houston, TX 77030, USADepartment of Neurology, Columbia University, New York, NY 10032, USABrigham & Women’s Hospital, Harvard Medical School, Boston, MA 02115, USANeurosurgery Department, University of Utah, Salt Lake City, UT 84117, USA; Department of Neurology, Columbia University, New York, NY 10032, USA; Corresponding authorSummary: Innovations in electrophysiological recordings and computational analytic techniques enable high-resolution analysis of neural traveling waves. Here, we present a protocol for the detection and analysis of traveling waves from multi-day microelectrode array human electrophysiological recordings through a multi-linear regression statistical approach using point estimator data. We describe steps for traveling wave detection, feature characterization, and propagation pattern analysis. This protocol may improve our understanding of the coordination of neurons during non-oscillatory neural dynamics.For complete details on the use and execution of this protocol, please refer to Smith et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.http://www.sciencedirect.com/science/article/pii/S2666166725000656NeuroscienceCognitive NeuroscienceBehavior |
| spellingShingle | Veronica M. Zarr Jyun-You Liou Edward M. Merricks Tyler S. Davis Kyle Thomson Bradley Greger Paul A. House Ronald G. Emerson Robert R. Goodman Guy M. McKhann, II Sameer A. Sheth Catherine A. Schevon John D. Rolston Elliot H. Smith Protocol for detecting and analyzing non-oscillatory traveling waves from high-spatiotemporal-resolution human electrophysiological recordings STAR Protocols Neuroscience Cognitive Neuroscience Behavior |
| title | Protocol for detecting and analyzing non-oscillatory traveling waves from high-spatiotemporal-resolution human electrophysiological recordings |
| title_full | Protocol for detecting and analyzing non-oscillatory traveling waves from high-spatiotemporal-resolution human electrophysiological recordings |
| title_fullStr | Protocol for detecting and analyzing non-oscillatory traveling waves from high-spatiotemporal-resolution human electrophysiological recordings |
| title_full_unstemmed | Protocol for detecting and analyzing non-oscillatory traveling waves from high-spatiotemporal-resolution human electrophysiological recordings |
| title_short | Protocol for detecting and analyzing non-oscillatory traveling waves from high-spatiotemporal-resolution human electrophysiological recordings |
| title_sort | protocol for detecting and analyzing non oscillatory traveling waves from high spatiotemporal resolution human electrophysiological recordings |
| topic | Neuroscience Cognitive Neuroscience Behavior |
| url | http://www.sciencedirect.com/science/article/pii/S2666166725000656 |
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