{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T17:15:25Z","timestamp":1790702125135,"version":"4.1.0"},"reference-count":41,"publisher":"IOP Publishing","issue":"1","license":[{"start":{"date-parts":[[2023,11,7]],"date-time":"2023-11-07T00:00:00Z","timestamp":1699315200000},"content-version":"vor","delay-in-days":6,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2023,11,7]],"date-time":"2023-11-07T00:00:00Z","timestamp":1699315200000},"content-version":"tdm","delay-in-days":6,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"name":"National Key Research and Development Program of China"},{"DOI":"10.13039\/501100012335","name":"National Defense Basic Scientific Research Program of China","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100012335","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Shanghai Major Science and Technology Project"},{"name":"Shanghai Industrial Collaborative Technology Innovation Project"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Med. Eng. Phys."],"published-print":{"date-parts":[[2023,11,1]]},"DOI":"10.1016\/j.medengphy.2023.104069","type":"journal-article","created":{"date-parts":[[2023,11,7]],"date-time":"2023-11-07T02:53:04Z","timestamp":1699325584000},"page":"104069","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Aided diagnosis of cervical spondylotic myelopathy using deep learning methods based on electroencephalography"],"prefix":"10.1088","volume":"121","author":[{"given":"Shen","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Banghua","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yibo","family":"Dou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongli","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chi","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yonghuai","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2023,11,7]]},"reference":[{"key":"bib0001","first-page":"E199","type":"other","article-title":"Deterioration of surgical outcomes with aging in patients with cervical spondylotic myelopathy","volume":"25","author":"Ishii","year":"2012"},{"key":"bib0002","first-page":"409","type":"other","article-title":"Cervical spondylotic myelopathy: the clinical phenomenon and the current pathobiology of an increasingly prevalent and devastating disorder","volume":"19","author":"Kalsi-Ryan","year":"2013"},{"key":"bib0003","first-page":"348","type":"other","article-title":"JOA Back Pain Evaluation Questionnaire (JOABPEQ)\/JOA Cervical Myelopathy Evaluation Questionnaire (JOACMEQ) the report on the development of revised versions April 16, 2007","volume":"14","author":"Fukui","year":"2009"},{"key":"bib0004","first-page":"691","type":"other","article-title":"Minimum clinically important difference and patient acceptable symptom state of Japanese orthopaedic association score in degenerative cervical myelopathy patients","volume":"44","author":"Kato","year":"2019"},{"key":"bib0005","first-page":"585","type":"other","article-title":"Risk factors of spinal cord increased signal intensity on T2-weighted magnetic resonance imaging in patients with cervical spondylotic myelopathy","volume":"26","author":"Lei","year":"2016"},{"key":"bib0006","first-page":"1080","type":"other","article-title":"Significance of increased signal intensity on MRI in prognosis after surgical intervention for cervical spondylotic myelopathy","volume":"18","author":"Zhang","year":"2011"},{"key":"bib0007","first-page":"E98","type":"other","article-title":"MRI signal intensity classification in cervical ossification of the posterior longitudinal ligament predictor of surgical outcomes","volume":"42","author":"Ito","year":"2017"},{"key":"bib0008","first-page":"6910","type":"other","article-title":"A cross-talk between blood-cell neuroplasticity-related genes and environmental enrichment in working dogs","volume":"9","author":"Guelfi","year":"2019"},{"key":"bib0009","first-page":"13608","type":"other","article-title":"The critical role of amygdala subnuclei in nociceptive and depressive-like behaviors in peripheral neuropathy","volume":"8","author":"Seno","year":"2018"},{"key":"bib0010","first-page":"e0167279","type":"other","article-title":"Amplitude of Low Frequency Fluctuation (ALFF) in the cervical spinal cord with stenosis: a resting state fMRI study","volume":"11","author":"Liu","year":"2016"},{"key":"bib0011","first-page":"3693","type":"other","article-title":"Functional MRI evidence for primary motor cortex plasticity contributes to the disease's severity and prognosis of cervical spondylotic myelopathy patients","volume":"32","author":"Zhao","year":"2022"},{"key":"bib0012","first-page":"127","type":"other","article-title":"Regulation of \"Right ankle dorsiflexion\" motor imagery on brain function of spinal cord injury: a FOCA-based prospective study","volume":"22","author":"Jiang","year":"2023"},{"key":"bib0013","first-page":"1806","type":"other","article-title":"Beta-band oscillations as a biomarker of gait recovery in spinal cord injury patients: a quantitative electroencephalography analysis","volume":"131","author":"Simis","year":"2020"},{"key":"bib0014","first-page":"548558","type":"other","article-title":"Electroencephalography as a biomarker for functional recovery in spinal cord injury patients","volume":"15","author":"Simis","year":"2021"},{"key":"bib0015","first-page":"1586","type":"other","article-title":"MRI research progresses of motor imagery on brain activity and network reorganization in patients with spinal cord injury","volume":"35","author":"Wang","year":"2019"},{"key":"bib0016","first-page":"10441","type":"other","article-title":"Interactive local and global feature coupling for EEG-based epileptic seizure detection","volume":"81","author":"Zhao","year":"2023"},{"key":"bib0017","type":"other","article-title":"Compact convolutional neural network with multi-headed attention mechanism for seizure prediction","volume":"33","author":"Ding","year":"2023"},{"key":"bib0018","first-page":"623","type":"other","article-title":"Epileptic seizures diagnosis using amalgamated extremely focused EEG signals and brain MRI","volume":"74","author":"Mohammad","year":"2023"},{"key":"bib0019","first-page":"1","type":"other","article-title":"Efficacy of novel attention-based gated recurrent units transformer for depression detection using electroencephalogram signals","volume":"11","author":"Tigga","year":"2022"},{"key":"bib0020","first-page":"3054","type":"other","article-title":"Deep convolutional neural network-based framework in the automatic diagnosis of migraine","volume":"42","author":"Aslan","year":"2023"},{"key":"bib0021","first-page":"106431","type":"other","article-title":"End-to-end fatigue driving EEG signal detection model based on improved temporal-graph convolution network","volume":"152","author":"Jia","year":"2023"},{"key":"bib0022","first-page":"1946","type":"other","article-title":"Ahmad I. RNN and BiLSTM fusion for accurate automatic epileptic seizure diagnosis using EEG signals","volume":"12","author":"Samee","year":"2022"},{"key":"bib0023","first-page":"158","author":"Shaban","year":"2021","type":"other"},{"key":"bib0024","first-page":"83","type":"other","article-title":"A deep learning framework for identifying children with ADHD using an EEG-based brain network","volume":"356","author":"Chen","year":"2019"},{"key":"bib0025","first-page":"251","type":"other","article-title":"Deep learning convolutional neural networks discriminate adult ADHD from healthy individuals on the basis of event-related spectral EEG","volume":"14","author":"Dubreuil-Vall","year":"2020"},{"key":"bib0026","type":"other","article-title":"Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG","volume":"197","author":"Moghaddari","year":"2020"},{"key":"bib0027","first-page":"1097660","type":"other","article-title":"Coherence based graph convolution network for motor imagery-induced EEG after spinal cord injury","volume":"16","author":"Li","year":"2023"},{"key":"bib0028","first-page":"135","type":"other","article-title":"EEG decoding method based on multi-feature information fusion for spinal cord injury","volume":"156","author":"Xu","year":"2022"},{"key":"bib0029","first-page":"9","type":"other","article-title":"EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis","volume":"134","author":"Delorme","year":"2004"},{"key":"bib0030","first-page":"987","type":"other","article-title":"Removal of artifacts from EEG signals: a review","volume":"19","author":"Jiang","year":"2019"},{"key":"bib0031","first-page":"181","type":"other","article-title":"ICLabel: an automated electroencephalographic independent component classifier, dataset, and website","volume":"198","author":"Pion-Tonachini","year":"2019"},{"key":"bib0032","first-page":"056013","type":"other","article-title":"EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces","volume":"15","author":"Lawhern","year":"2018"},{"key":"bib0033","type":"other"},{"key":"bib0034","first-page":"2222","type":"other","article-title":"LSTM: a search space odyssey","volume":"28","author":"Greff","year":"2016"},{"key":"bib0035","type":"other","article-title":"Towards high-accuracy classifying attention-deficit\/hyperactivity disorders using CNN-LSTM model","volume":"19","author":"Wang","year":"2022"},{"key":"bib0036","first-page":"448","author":"Ioffe","year":"2015","type":"other"},{"key":"bib0037","type":"other"},{"key":"bib0038","first-page":"1191","type":"other","article-title":"Multiscale temporal self-attention and dynamical graph convolution hybrid network for EEG-based stereogram recognition","volume":"30","author":"Shen","year":"2022"},{"key":"bib0039","first-page":"106277","type":"other","article-title":"EEG-based seizure detection using linear graph convolution network with focal loss","volume":"208","author":"Zhao","year":"2021"},{"key":"bib0040","first-page":"357","type":"other","article-title":"MRI evidence of brain atrophy, white matter damage, and functional adaptive changes in patients with cervical spondylosis and prolonged spinal cord compression","volume":"30","author":"Bernabeu-Sanz","year":"2020"},{"key":"bib0041","first-page":"2371","type":"other","article-title":"Abnormal intrinsic functional activity in patients with cervical spondylotic myelopathy: a resting-state fMRI study","volume":"15","author":"Kuang","year":"2019"}],"container-title":["Medical Engineering & Physics"],"original-title":[],"link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350453323001248?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350453323001248?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2023.104069","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2023.104069\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2023.104069\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2023.104069\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T15:00:37Z","timestamp":1769094037000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2023.104069"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,1]]},"references-count":41,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,11,7]]},"published-print":{"date-parts":[[2023,11,1]]}},"URL":"https:\/\/doi.org\/10.1016\/j.medengphy.2023.104069","relation":{},"ISSN":["1350-4533","1873-4030"],"issn-type":[{"value":"1350-4533","type":"print"},{"value":"1873-4030","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,1]]},"assertion":[{"value":"Aided diagnosis of cervical spondylotic myelopathy using deep learning methods based on electroencephalography","name":"article_title","label":"Article Title"},{"value":"Medical Engineering & Physics","name":"journal_title","label":"Journal Title"},{"value":"paper","name":"article_type","label":"Article Type"},{"value":"\u00a9 2023 Institute of Physics and Engineering in Medicine. All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2023-05-16","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2023-11-05","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2023-11-07","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}