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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Superior document: | Frontiers Research Topics |
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Year of Publication: | 2017 |
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Series: | Frontiers Research Topics
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Physical Description: | 1 electronic resource (228 p.) |
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Christian O'Reilly auth Sleep Spindles: Breaking the Methodological Wall Sleep Spindles Frontiers Media SA 2017 1 electronic resource (228 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Frontiers Research Topics 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. English Neural oscillations Electroencephalography (EEG) Sleep Memory IQ sigma waves automatic detection biomarker Open access 2-88945-116-X Tore Nielsen auth Simon C. Warby auth |
language |
English |
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eBook |
author |
Christian O'Reilly |
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Christian O'Reilly Sleep Spindles: Breaking the Methodological Wall Frontiers Research Topics |
author_facet |
Christian O'Reilly Tore Nielsen Simon C. Warby |
author_variant |
c o co |
author2 |
Tore Nielsen Simon C. Warby |
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t n tn s c w scw |
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Christian O'Reilly |
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_auth |
Sleep Spindles: Breaking the Methodological Wall |
title_alt |
Sleep Spindles |
title_new |
Sleep Spindles: Breaking the Methodological Wall |
title_sort |
sleep spindles: breaking the methodological wall |
series |
Frontiers Research Topics |
series2 |
Frontiers Research Topics |
publisher |
Frontiers Media SA |
publishDate |
2017 |
physical |
1 electronic resource (228 p.) |
isbn |
2-88945-116-X |
illustrated |
Not Illustrated |
work_keys_str_mv |
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hierarchy_parent_title |
Frontiers Research Topics |
is_hierarchy_title |
Sleep Spindles: Breaking the Methodological Wall |
container_title |
Frontiers Research Topics |
author2_original_writing_str_mv |
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