{"id":163,"date":"2015-11-18T00:00:00","date_gmt":"2015-11-17T23:00:00","guid":{"rendered":"http:\/\/semmelweis.hu\/psychophysiology\/bodizs-r-kormendi-j-rigo-p-lazar-as-the-individual-adjustment-method-of-sleep-spindle-analysis-methodological-improvements-and-roots-in-the-fingerprint-paradigm-j-neurosci-methods-178-1-205-213-20\/"},"modified":"2019-01-23T18:40:22","modified_gmt":"2019-01-23T17:40:22","slug":"bodizs-r-kormendi-j-rigo-p-lazar-as-the-individual-adjustment-method-of-sleep-spindle-analysis-methodological-improvements-and-roots-in-the-fingerprint-paradigm-j-neurosci-methods-178-1-205-213-20-7","status":"publish","type":"post","link":"https:\/\/semmelweis.hu\/psychophysiology\/2015\/11\/18\/bodizs-r-kormendi-j-rigo-p-lazar-as-the-individual-adjustment-method-of-sleep-spindle-analysis-methodological-improvements-and-roots-in-the-fingerprint-paradigm-j-neurosci-methods-178-1-205-213-20-7\/","title":{"rendered":"B\u00f3dizs R*, K\u00f6rmendi J, Rig\u00f3 P, L\u00e1z\u00e1r AS : The individual adjustment method of sleep spindle analysis: Methodological improvements and roots in the fingerprint paradigm. J. Neurosci. Methods 178(1) 205-213. 2009"},"content":{"rendered":"

DOI: 10.1016\/j.jneumeth.2008.11.006<\/a><\/p>\n

1. Introduction<\/a>
\n2. Methods<\/a>
\n3. Results<\/a>
\nAcknowledgements<\/a>
\nReferences<\/a><\/p>\n

Page 1 of 6\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Prev – Next >><\/a><\/p>\n

<\/a>* Corresponding author: R\u00f3bert B\u00f3dizs, Institute of Behavioural Sciences, Semmelweis University, Nagyv\u00e1rad t\u00e9r 4, H-1089 Budapest, Hungary<\/p>\n

\n

ABSTRACT<\/h3>\n

Evidence supports the robustness and stability of individual differences in non-rapid eye movement (NREM) sleep electroencephalogram (EEG) spectra with a special emphasis on the 9\u201316 Hz range corresponding to sleep spindle activity. These differences cast doubt on the universal validity of sleep spindle analysis methods based on strict amplitude and frequency criteria or a set of templates of natural spindles. We aim to improve sleep spindle analysis by the individual adjustments of frequency and amplitude criteria, the use of a minimum set of a priori knowledge, and by clear dissections of slow- and fast sleep spindles as well as to transcend the concept of visual inspection as being the ultimate test of the method\u2019s validity. We de\ufb01ned spindles as those segments of the NREM sleep EEG which contribute to the two peak regions within the 9\u201316 Hz EEG spectra. These segments behaved as slow- and fast sleep spindles in terms of topography and sleep cycle effects, while age correlated negatively with the occurrence of fast type events only. Automatic detections covered 92.9% of visual spindle detections (A&VD). More than half of the automatic detections (58.41%) were exclusively automatic detections (EADs). The spectra of EAD correlated signi\ufb01cantly and positively with the spectra of A&VD as well as with the average (AVG) spectra. However, both EAD and A&VD had higher individual-speci\ufb01c spindle spectra than AVG had. Results suggest that the individual adjustment method (IAM) detects EEG segments possessing the individual-speci\ufb01c spindle spectra with higher sensitivity than visual scoring does.<\/p>\n

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Prev – Next >><\/a><\/div>\n<\/div>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

DOI: 10.1016\/j.jneumeth.2008.11.006<\/a> 1. Introduction<\/a> 2. Methods<\/a> 3. Results<\/a> Acknowledgements<\/a> References<\/a> Page 1 of 6\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Prev – Next >><\/a> <\/a> * Corresponding author: R\u00f3bert B\u00f3dizs, Institute of Behavioural Sciences, Semmelweis University, Nagyv\u00e1rad t\u00e9r 4, H-1089 Budapest, Hungary ABSTRACT Evidence supports the robustness and stability of individual differences in non-rapid eye movement (NREM) sleep electroencephalogram (EEG) spectra with a special emphasis on the 9\u201316 Hz range corresponding to sleep …<\/p>\n","protected":false},"author":101277,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[6],"tags":[],"class_list":["post-163","post","type-post","status-publish","format-standard","hentry","category-articles-in-professional-journals"],"acf":[],"_links":{"self":[{"href":"https:\/\/semmelweis.hu\/psychophysiology\/wp-json\/wp\/v2\/posts\/163","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/semmelweis.hu\/psychophysiology\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/semmelweis.hu\/psychophysiology\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/psychophysiology\/wp-json\/wp\/v2\/users\/101277"}],"replies":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/psychophysiology\/wp-json\/wp\/v2\/comments?post=163"}],"version-history":[{"count":10,"href":"https:\/\/semmelweis.hu\/psychophysiology\/wp-json\/wp\/v2\/posts\/163\/revisions"}],"predecessor-version":[{"id":1443,"href":"https:\/\/semmelweis.hu\/psychophysiology\/wp-json\/wp\/v2\/posts\/163\/revisions\/1443"}],"wp:attachment":[{"href":"https:\/\/semmelweis.hu\/psychophysiology\/wp-json\/wp\/v2\/media?parent=163"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/semmelweis.hu\/psychophysiology\/wp-json\/wp\/v2\/categories?post=163"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/semmelweis.hu\/psychophysiology\/wp-json\/wp\/v2\/tags?post=163"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}