Cargando…
Electroclinical Features of Sleep-Related Head Jerk
STUDY OBJECTIVES: To evaluate clinical and electrophysiological features of sleep-related head jerk (SRHJ) and electromyographic activity of superficial neck muscles during head jerk. METHODS: Totally, 850 cases with video-polysomnography recording were collected, among which 50 presented with SRHJ....
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646951/ https://www.ncbi.nlm.nih.gov/pubmed/34880695 http://dx.doi.org/10.2147/NSS.S331893 |
_version_ | 1784610525419667456 |
---|---|
author | Hu, Gengyao Yuan, Na Pan, Yuanhang Wang, Bi Wang, Xiaoli Wang, Zezhi Chen, Ze Liu, Yonghong |
author_facet | Hu, Gengyao Yuan, Na Pan, Yuanhang Wang, Bi Wang, Xiaoli Wang, Zezhi Chen, Ze Liu, Yonghong |
author_sort | Hu, Gengyao |
collection | PubMed |
description | STUDY OBJECTIVES: To evaluate clinical and electrophysiological features of sleep-related head jerk (SRHJ) and electromyographic activity of superficial neck muscles during head jerk. METHODS: Totally, 850 cases with video-polysomnography recording were collected, among which 50 presented with SRHJ. In these 50 patients, 15 underwent electromyography (EMG) check on bilateral sternocleidomastoid (SCM) and trapezius muscles as well as chin, while 35 had only chin EMG check. Further, the sensitivity and specificity of the both EMGs were calculated and compared. RESULTS: Six among the 50 SRHJ patients had a primary complaint of involuntary head jerks associated with impaired sleep. Approximately 76.1% of head jerks occurred during REM sleep with the median head jerk index of 5.9/h, 64.5% of which were associated with electroencephalogram arousals and 66.4% with body movements. One patient showed SRHJ predominantly in NREM sleep but also in wakefulness. Surface EMG of SCM/trapezius muscles showed a sensitivity of 92% and a specificity of 97.8%, whereas chin EMG had a sensitivity of 14.5% and a specificity of 98.8%. CONCLUSION: SRHJ was associated with electroencephalogram arousals and might interfere with sleep. Surface EMG of SCM/trapezius muscles exhibited a good accuracy in the revelation of SRHJ. |
format | Online Article Text |
id | pubmed-8646951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-86469512021-12-07 Electroclinical Features of Sleep-Related Head Jerk Hu, Gengyao Yuan, Na Pan, Yuanhang Wang, Bi Wang, Xiaoli Wang, Zezhi Chen, Ze Liu, Yonghong Nat Sci Sleep Original Research STUDY OBJECTIVES: To evaluate clinical and electrophysiological features of sleep-related head jerk (SRHJ) and electromyographic activity of superficial neck muscles during head jerk. METHODS: Totally, 850 cases with video-polysomnography recording were collected, among which 50 presented with SRHJ. In these 50 patients, 15 underwent electromyography (EMG) check on bilateral sternocleidomastoid (SCM) and trapezius muscles as well as chin, while 35 had only chin EMG check. Further, the sensitivity and specificity of the both EMGs were calculated and compared. RESULTS: Six among the 50 SRHJ patients had a primary complaint of involuntary head jerks associated with impaired sleep. Approximately 76.1% of head jerks occurred during REM sleep with the median head jerk index of 5.9/h, 64.5% of which were associated with electroencephalogram arousals and 66.4% with body movements. One patient showed SRHJ predominantly in NREM sleep but also in wakefulness. Surface EMG of SCM/trapezius muscles showed a sensitivity of 92% and a specificity of 97.8%, whereas chin EMG had a sensitivity of 14.5% and a specificity of 98.8%. CONCLUSION: SRHJ was associated with electroencephalogram arousals and might interfere with sleep. Surface EMG of SCM/trapezius muscles exhibited a good accuracy in the revelation of SRHJ. Dove 2021-12-01 /pmc/articles/PMC8646951/ /pubmed/34880695 http://dx.doi.org/10.2147/NSS.S331893 Text en © 2021 Hu et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Hu, Gengyao Yuan, Na Pan, Yuanhang Wang, Bi Wang, Xiaoli Wang, Zezhi Chen, Ze Liu, Yonghong Electroclinical Features of Sleep-Related Head Jerk |
title | Electroclinical Features of Sleep-Related Head Jerk |
title_full | Electroclinical Features of Sleep-Related Head Jerk |
title_fullStr | Electroclinical Features of Sleep-Related Head Jerk |
title_full_unstemmed | Electroclinical Features of Sleep-Related Head Jerk |
title_short | Electroclinical Features of Sleep-Related Head Jerk |
title_sort | electroclinical features of sleep-related head jerk |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646951/ https://www.ncbi.nlm.nih.gov/pubmed/34880695 http://dx.doi.org/10.2147/NSS.S331893 |
work_keys_str_mv | AT hugengyao electroclinicalfeaturesofsleeprelatedheadjerk AT yuanna electroclinicalfeaturesofsleeprelatedheadjerk AT panyuanhang electroclinicalfeaturesofsleeprelatedheadjerk AT wangbi electroclinicalfeaturesofsleeprelatedheadjerk AT wangxiaoli electroclinicalfeaturesofsleeprelatedheadjerk AT wangzezhi electroclinicalfeaturesofsleeprelatedheadjerk AT chenze electroclinicalfeaturesofsleeprelatedheadjerk AT liuyonghong electroclinicalfeaturesofsleeprelatedheadjerk |