{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T05:02:24Z","timestamp":1791522144220,"version":"4.3.4"},"reference-count":34,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2014,12,30]],"date-time":"2014-12-30T00:00:00Z","timestamp":1419897600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001659","name":"German Research Foundation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Morris Coole Award of the International League against Epilepsy"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Epilepsia"],"published-print":{"date-parts":[[2015,2]]},"abstract":"<jats:title>Summary<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>\n                      Interictal high frequency oscillations (\n                      <jats:styled-content style=\"fixed-case\">HFO<\/jats:styled-content>\n                      s) are a promising candidate as a biomarker in epilepsy as well as for defining the seizure\u2010onset zone as for the prediction of the surgical outcome after epilepsy surgery. The purpose of the study is to investigate properties of\n                      <jats:styled-content style=\"fixed-case\">HFO<\/jats:styled-content>\n                      s in long\u2010term recordings with respect to the sleep\u2013wake cycle and anatomic regions to verify previous results based on observations from short intervals and patients mainly with temporal lobe epilepsy to the analysis of hours of recordings and focal epilepsies with extratemporal origin.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Automatic\n                      <jats:styled-content style=\"fixed-case\">HFO<\/jats:styled-content>\n                      detection using a radial basis function neural network detector was performed in long\u2010term recordings of 15 presurgical patients investigated with subdural strip, grid, and depth contacts. Periods with visual marked sleep stages based on parallel scalp recordings from two consecutive nights were compared to awake intervals. Statistical analysis was based on the Kruskal\u2010Wallis test, Mann\u2010Whitney\n                      <jats:italic>U<\/jats:italic>\n                      \u2010test and Spearman's rank correlations.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      <jats:styled-content style=\"fixed-case\">HFO<\/jats:styled-content>\n                      rates in seizure\u2010onset contacts differed from other brain regions independent of the sleep\u2013wake cycle. For temporal contacts, the\n                      <jats:styled-content style=\"fixed-case\">HFO<\/jats:styled-content>\n                      rate increased significantly with sleep stage. In addition, contacts covering the parietal lobe, including rolandic cortex, showed a significant increase of\n                      <jats:styled-content style=\"fixed-case\">HFO<\/jats:styled-content>\n                      rates during sleep. However, no significant\n                      <jats:styled-content style=\"fixed-case\">HFO<\/jats:styled-content>\n                      rate changes depending on the sleep\u2013wake cycle were found for frontal contacts.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Significance<\/jats:title>\n                    <jats:p>\n                      The rate of interictal\n                      <jats:styled-content style=\"fixed-case\">HFO<\/jats:styled-content>\n                      s predicted the\n                      <jats:styled-content style=\"fixed-case\">SOZ<\/jats:styled-content>\n                      with statistical significance at the group level, but properties other than the HFO rate may need to be considered to improve the diagnostic utility of\n                      <jats:styled-content style=\"fixed-case\">HFO<\/jats:styled-content>\n                      s. This study gives evidence that the modulation of\n                      <jats:styled-content style=\"fixed-case\">HFO<\/jats:styled-content>\n                      rates by states of the sleep\u2013wake cycle has particular characteristics within different neocortical regions and in mesiotemporal structures, and contributes to the establishment of\n                      <jats:styled-content style=\"fixed-case\">HFO<\/jats:styled-content>\n                      s as a biomarker in epilepsy.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/epi.12844","type":"journal-article","created":{"date-parts":[[2014,12,30]],"date-time":"2014-12-30T02:23:04Z","timestamp":1419906184000},"page":"197-206","source":"Crossref","is-referenced-by-count":113,"title":["Temporal and spatial characteristics of high frequency oscillations as a new biomarker in 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