Sleep Spindles: Breaking the Methodological Wall
In the last decade, sleep spindles have attracted steadily increasing attention. This interest is motivated by the many intriguing relationships between spindles and various diseases (e.g., schizophrenia, Parkinson, Alzheimer, autism, mental retardation), recovery processes (e.g., post brain stroke)...
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| বিন্যাস: | Online |
| ভাষা: | ইংরেজি |
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Frontiers Media SA
2021
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | 22967 |
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| _version_ | 1869515371606704128 |
|---|---|
| author | Christian O'Reilly Tore Nielsen Simon C. Warby |
| author_browse | Christian O'Reilly Simon C. Warby Tore Nielsen |
| author_facet | Christian O'Reilly Tore Nielsen Simon C. Warby |
| author_sort | Christian O'Reilly |
| collection | Directory of Open Access Books |
| description | In the last decade, sleep spindles have attracted steadily increasing attention. This interest is motivated by the many intriguing relationships between spindles and various diseases (e.g., schizophrenia, Parkinson, Alzheimer, autism, mental retardation), recovery processes (e.g., post brain stroke), and cognitive faculties (e.g., memory consolidation, intelligence, dream recall, sleep preservation). Nonetheless, a methodological wall has impeded the study of sleep spindles. Their investigation rests heavily on our ability to reliably and consistently identify spindle patterns from background EEG activity, a task involving many obstacles, including: a fuzzy definition of spindles, low inter-expert agreement on their scoring, lack of consensus on standard techniques for their automated detection, low reproducibility of observed characteristics and correlates, unavailability of large, standardized, high-quality databases, and inconsistencies in the methods used to evaluate the performance of automated detectors. The primary aims of this research topic were to bring together world-class researchers on a project designed to facilitate exchanges on methodological difficulties encountered in assessing sleep spindles and to promote standardized spindle-related resources. In preparing their contributions, authors were encouraged to use existing – or to propose new – publicly available resources for assessing sleep spindles. To allow fair and accurate comparison of reported results, the authors were also encouraged to validate their tools on a common benchmark. A database containing expert spindle scoring (i.e., the Montreal Archive of Sleep Studies) was made publicly available for that purpose. |
| format | Online |
| id | doab-20.500.12854ir-59464 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-594642024-04-05T12:35:31Z Sleep Spindles: Breaking the Methodological Wall Christian O'Reilly Tore Nielsen Simon C. Warby RC321-571 Q1-390 Neural oscillations Electroencephalography (EEG) Sleep Sleep Spindles Memory IQ sigma waves automatic detection biomarker Open access thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences In the last decade, sleep spindles have attracted steadily increasing attention. This interest is motivated by the many intriguing relationships between spindles and various diseases (e.g., schizophrenia, Parkinson, Alzheimer, autism, mental retardation), recovery processes (e.g., post brain stroke), and cognitive faculties (e.g., memory consolidation, intelligence, dream recall, sleep preservation). Nonetheless, a methodological wall has impeded the study of sleep spindles. Their investigation rests heavily on our ability to reliably and consistently identify spindle patterns from background EEG activity, a task involving many obstacles, including: a fuzzy definition of spindles, low inter-expert agreement on their scoring, lack of consensus on standard techniques for their automated detection, low reproducibility of observed characteristics and correlates, unavailability of large, standardized, high-quality databases, and inconsistencies in the methods used to evaluate the performance of automated detectors. The primary aims of this research topic were to bring together world-class researchers on a project designed to facilitate exchanges on methodological difficulties encountered in assessing sleep spindles and to promote standardized spindle-related resources. In preparing their contributions, authors were encouraged to use existing – or to propose new – publicly available resources for assessing sleep spindles. To allow fair and accurate comparison of reported results, the authors were also encouraged to validate their tools on a common benchmark. A database containing expert spindle scoring (i.e., the Montreal Archive of Sleep Studies) was made publicly available for that purpose. 2021-02-12T03:44:31Z 2021-02-12T03:44:31Z 2017-07-06 13:27:36 2017 book 22967 16648714 9782889451166 https://directory.doabooks.org/handle/20.500.12854/59464 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Reelin-Related_Neurological_Disorders_and_Animal_Models/1143#nogo http://journal.frontiersin.org/researchtopic/2389/sleep-spindles-breaking-the-methodological-wall Frontiers Media SA 10.3389/978-2-88945-116-6 10.3389/978-2-88945-116-6 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889451166 228 open access |
| spellingShingle | RC321-571 Q1-390 Neural oscillations Electroencephalography (EEG) Sleep Sleep Spindles Memory IQ sigma waves automatic detection biomarker Open access thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Christian O'Reilly Tore Nielsen Simon C. Warby Sleep Spindles: Breaking the Methodological Wall |
| title | Sleep Spindles: Breaking the Methodological Wall |
| title_full | Sleep Spindles: Breaking the Methodological Wall |
| title_fullStr | Sleep Spindles: Breaking the Methodological Wall |
| title_full_unstemmed | Sleep Spindles: Breaking the Methodological Wall |
| title_short | Sleep Spindles: Breaking the Methodological Wall |
| title_sort | sleep spindles breaking the methodological wall |
| topic | RC321-571 Q1-390 Neural oscillations Electroencephalography (EEG) Sleep Sleep Spindles Memory IQ sigma waves automatic detection biomarker Open access thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 Neural oscillations Electroencephalography (EEG) Sleep Sleep Spindles Memory IQ sigma waves automatic detection biomarker Open access thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 22967 |
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