Thalamocortical Dysrhythmia Detected by Machine Learning

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dc.contributor.authorVanneste, Sven
dc.contributor.authorSong, Jae-Jin
dc.contributor.authorDe Ridder, Dirk
dc.contributor.utdAuthorVanneste, Sven
dc.date.accessioned2019-05-15T21:58:27Z
dc.date.available2019-05-15T21:58:27Z
dc.date.created2018-03-16
dc.description.abstractThalamocortical dysrhythmia (TCD) is a model proposed to explain divergent neurological disorders. It is characterized by a common oscillatory pattern in which resting-state alpha activity is replaced by cross-frequency coupling of low- and high-frequency oscillations. We undertook a data-driven approach using support vector machine learning for analyzing resting-state electroencephalography oscillatory patterns in patients with Parkinson's disease, neuropathic pain, tinnitus, and depression. We show a spectrally equivalent but spatially distinct form of TCD that depends on the specific disorder. However, we also identify brain areas that are common to the pathology of Parkinson's disease, pain, tinnitus, and depression. This study therefore supports the validity of TCD as an oscillatory mechanism underlying diverse neurological disorders.
dc.description.departmentSchool of Behavioral and Brain Sciences
dc.description.sponsorshipNational Research Foundation of Korea (NRF) grant (No. 2016R1C1B2007911) and the Seoul National University Bundang Hospital Research Fund 13-2015-010.
dc.identifier.bibliographicCitationVanneste, Sven, Jae-Jin Song, and Dirk De Ridder. 2018. "Thalamocortical dysrhythmia detected by machine learning." Nature Communications 9(1): Art. 1103, doi:10.1038/s41467-018-02820-0
dc.identifier.issn2041-1723
dc.identifier.issue1
dc.identifier.urihttps://hdl.handle.net/10735.1/6495
dc.identifier.volume9
dc.language.isoen
dc.publisherNature Publishing Group
dc.relation.urihttp://dx.doi.org/10.1038/s41467-018-02820-0
dc.rightsCC BY 4.0 (Attribution)
dc.rights©2018 The Authors
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.source.journalNature Communications
dc.subjectDeep Brain Stimulation
dc.subjectGyrus Cinguli
dc.subjectSomatosensory Cortex
dc.subjectShort-term memory
dc.subjectElectroencephalography
dc.subjectParkinson Disease
dc.subjectNeuralgia
dc.subjectTinnitus
dc.subjectDepression
dc.titleThalamocortical Dysrhythmia Detected by Machine Learning
dc.type.genrearticle

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