Deep Learning–Based Assessment of Brain Connectivity Related to Obstructive Sleep Apnea and Daytime Sleepiness
Min-Hee Lee,1 Seung Ku Lee,1 Robert J Thomas,2 Jee-Eun Yoon,3 Chang-Ho Yun,4,* Chol Shin1,5,* 1Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea; 2Department of Medicine, Division of Pulmonary, Critical Care and Sleep Med...
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2021
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oai:doaj.org-article:c85cd8513bec41db812ec4ac73d979ca2021-12-02T19:13:00ZDeep Learning–Based Assessment of Brain Connectivity Related to Obstructive Sleep Apnea and Daytime Sleepiness1179-1608https://doaj.org/article/c85cd8513bec41db812ec4ac73d979ca2021-09-01T00:00:00Zhttps://www.dovepress.com/deep-learningbased-assessment-of-brain-connectivity-related-to-obstruc-peer-reviewed-fulltext-article-NSShttps://doaj.org/toc/1179-1608Min-Hee Lee,1 Seung Ku Lee,1 Robert J Thomas,2 Jee-Eun Yoon,3 Chang-Ho Yun,4,* Chol Shin1,5,* 1Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea; 2Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; 3Department of Neurology, Uijeongbu Eulji Medical Center, Uijeongbu, Republic of Korea; 4Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea; 5Department of Pulmonary Sleep and Critical Care Medicine Disorder Center, College of Medicine, Korea University, Ansan, Republic of Korea*These authors contributed equally to this workCorrespondence: Chang-Ho YunDepartment of Neurology, Bundang Clinical Neuroscience Institute, Seoul National University Bundang Hospital, 82 Gumi-ro 173beon-gil, Bundang-gu, Seongnam, 13620, Republic of KoreaTel +82 31 787 7469Fax +82 31 787 4059Email ych333@gmail.comChol ShinDivision of Pulmonary, Sleep, and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital and Institute of Human Genomic Study, Korea University Ansan Hospital, 516, Gojan-1-dong, Danwon-gu, Ansan, Gyeonggi-do, 15355, Republic of KoreaTel +82 31 412 5541Fax +82 31 412 5604Email chol-shin@korea.ac.krPurpose: Obstructive sleep apnea (OSA) is associated with altered pairwise connections between brain regions, which might explain cognitive impairment and daytime sleepiness. By adopting a deep learning method, we investigated brain connectivity related to the severity of OSA and daytime sleepiness.Patients and Methods: A cross-sectional design applied a deep learning model on structural brain networks obtained from 553 subjects (age, 59.2 ± 7.4 years; men, 35.6%). The model performance was evaluated with the Pearson’s correlation coefficient (R) and probability of absolute error less than standard deviation (PAELee MHLee SKThomas RJYoon JEYun CHShin CDove Medical Pressarticleconvolutional neural networkobstructive sleep apneadaytime sleepinessdiffusion tensor imagingstructural brain networkPsychiatryRC435-571Neurophysiology and neuropsychologyQP351-495ENNature and Science of Sleep, Vol Volume 13, Pp 1561-1572 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
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EN |
| topic |
convolutional neural network obstructive sleep apnea daytime sleepiness diffusion tensor imaging structural brain network Psychiatry RC435-571 Neurophysiology and neuropsychology QP351-495 |
| spellingShingle |
convolutional neural network obstructive sleep apnea daytime sleepiness diffusion tensor imaging structural brain network Psychiatry RC435-571 Neurophysiology and neuropsychology QP351-495 Lee MH Lee SK Thomas RJ Yoon JE Yun CH Shin C Deep Learning–Based Assessment of Brain Connectivity Related to Obstructive Sleep Apnea and Daytime Sleepiness |
| description |
Min-Hee Lee,1 Seung Ku Lee,1 Robert J Thomas,2 Jee-Eun Yoon,3 Chang-Ho Yun,4,* Chol Shin1,5,* 1Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea; 2Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; 3Department of Neurology, Uijeongbu Eulji Medical Center, Uijeongbu, Republic of Korea; 4Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea; 5Department of Pulmonary Sleep and Critical Care Medicine Disorder Center, College of Medicine, Korea University, Ansan, Republic of Korea*These authors contributed equally to this workCorrespondence: Chang-Ho YunDepartment of Neurology, Bundang Clinical Neuroscience Institute, Seoul National University Bundang Hospital, 82 Gumi-ro 173beon-gil, Bundang-gu, Seongnam, 13620, Republic of KoreaTel +82 31 787 7469Fax +82 31 787 4059Email ych333@gmail.comChol ShinDivision of Pulmonary, Sleep, and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital and Institute of Human Genomic Study, Korea University Ansan Hospital, 516, Gojan-1-dong, Danwon-gu, Ansan, Gyeonggi-do, 15355, Republic of KoreaTel +82 31 412 5541Fax +82 31 412 5604Email chol-shin@korea.ac.krPurpose: Obstructive sleep apnea (OSA) is associated with altered pairwise connections between brain regions, which might explain cognitive impairment and daytime sleepiness. By adopting a deep learning method, we investigated brain connectivity related to the severity of OSA and daytime sleepiness.Patients and Methods: A cross-sectional design applied a deep learning model on structural brain networks obtained from 553 subjects (age, 59.2 ± 7.4 years; men, 35.6%). The model performance was evaluated with the Pearson’s correlation coefficient (R) and probability of absolute error less than standard deviation (PAE |
| format |
article |
| author |
Lee MH Lee SK Thomas RJ Yoon JE Yun CH Shin C |
| author_facet |
Lee MH Lee SK Thomas RJ Yoon JE Yun CH Shin C |
| author_sort |
Lee MH |
| title |
Deep Learning–Based Assessment of Brain Connectivity Related to Obstructive Sleep Apnea and Daytime Sleepiness |
| title_short |
Deep Learning–Based Assessment of Brain Connectivity Related to Obstructive Sleep Apnea and Daytime Sleepiness |
| title_full |
Deep Learning–Based Assessment of Brain Connectivity Related to Obstructive Sleep Apnea and Daytime Sleepiness |
| title_fullStr |
Deep Learning–Based Assessment of Brain Connectivity Related to Obstructive Sleep Apnea and Daytime Sleepiness |
| title_full_unstemmed |
Deep Learning–Based Assessment of Brain Connectivity Related to Obstructive Sleep Apnea and Daytime Sleepiness |
| title_sort |
deep learning–based assessment of brain connectivity related to obstructive sleep apnea and daytime sleepiness |
| publisher |
Dove Medical Press |
| publishDate |
2021 |
| url |
https://doaj.org/article/c85cd8513bec41db812ec4ac73d979ca |
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