LEADER 03077nam 2200481z- 450 001 9910220053803321 005 20210212 035 $a(CKB)3800000000216240 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/59464 035 $a(oapen)doab59464 035 $a(EXLCZ)993800000000216240 100 $a20202102d2017 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSleep Spindles: Breaking the Methodological Wall 210 $cFrontiers Media SA$d2017 215 $a1 online resource (228 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88945-116-X 330 $aIn 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. 517 $aSleep Spindles 606 $aNeurosciences$2bicssc 610 $aautomatic detection 610 $abiomarker 610 $aElectroencephalography (EEG) 610 $aIQ 610 $aMemory 610 $aNeural oscillations 610 $aOpen access 610 $asigma waves 610 $aSleep 610 $aSleep Spindles 615 7$aNeurosciences 700 $aChristian O'Reilly$4auth$01296309 702 $aTore Nielsen$4auth 702 $aSimon C. Warby$4auth 906 $aBOOK 912 $a9910220053803321 996 $aSleep Spindles: Breaking the Methodological Wall$93023984 997 $aUNINA