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A network analysis of ¹⁵O-H₂O PET reveals deep brain stimulation effects on brain network of Parkinson's disease

DC FieldValueLanguage
dc.contributor.author김중일-
dc.contributor.author김해유-
dc.contributor.author박범희-
dc.contributor.author박해정-
dc.contributor.author이종두-
dc.contributor.author장진우-
dc.date.accessioned2016-02-04T11:15:37Z-
dc.date.available2016-02-04T11:15:37Z-
dc.date.issued2015-
dc.identifier.issn0513-5796-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/140025-
dc.description.abstractPURPOSE: As Parkinson's disease (PD) can be considered a network abnormality, the effects of deep brain stimulation (DBS) need to be investigated in the aspect of networks. This study aimed to examine how DBS of the bilateral subthalamic nucleus (STN) affects the motor networks of patients with idiopathic PD during motor performance and to show the feasibility of the network analysis using cross-sectional positron emission tomography (PET) images in DBS studies. MATERIALS AND METHODS: We obtained [¹⁵O]H₂O PET images from ten patients with PD during a sequential finger-to-thumb opposition task and during the resting state, with DBS-On and DBS-Off at STN. To identify the alteration of motor networks in PD and their changes due to STN-DBS, we applied independent component analysis (ICA) to all the cross-sectional PET images. We analysed the strength of each component according to DBS effects, task effects and interaction effects. RESULTS: ICA blindly decomposed components of functionally associated distributed clusters, which were comparable to the results of univariate statistical parametric mapping. ICA further revealed that STN-DBS modifies usage-strengths of components corresponding to the basal ganglia-thalamo-cortical circuits in PD patients by increasing the hypoactive basal ganglia and by suppressing the hyperactive cortical motor areas, ventrolateral thalamus and cerebellum. CONCLUSION: Our results suggest that STN-DBS may affect not only the abnormal local activity, but also alter brain networks in patients with PD. This study also demonstrated the usefulness of ICA for cross-sectional PET data to reveal network modifications due to DBS, which was not observable using the subtraction method.-
dc.description.statementOfResponsibilityopen-
dc.format.extent726~736-
dc.relation.isPartOfYONSEI MEDICAL JOURNAL-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAged-
dc.subject.MESHBrain/diagnostic imaging*-
dc.subject.MESHCross-Sectional Studies-
dc.subject.MESHDeep Brain Stimulation/methods*-
dc.subject.MESHFemale-
dc.subject.MESHFunctional Laterality/physiology*-
dc.subject.MESHHumans-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHParkinson Disease/diagnostic imaging-
dc.subject.MESHParkinson Disease/therapy*-
dc.subject.MESHPositron-Emission Tomography-
dc.subject.MESHSeverity of Illness Index-
dc.subject.MESHSubthalamic Nucleus/physiopathology*-
dc.titleA network analysis of ¹⁵O-H₂O PET reveals deep brain stimulation effects on brain network of Parkinson's disease-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Life Science (의생명과학부)-
dc.contributor.googleauthorHae-Jeong Park-
dc.contributor.googleauthorBumhee Park-
dc.contributor.googleauthorHae Yu Kim-
dc.contributor.googleauthorMaeng-Keun Oh-
dc.contributor.googleauthorJoong Il Kim-
dc.contributor.googleauthorMisun Yoon-
dc.contributor.googleauthorJong Doo Lee-
dc.contributor.googleauthorJin Woo Chang-
dc.identifier.doi10.3349/ymj.2015.56.3.726-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00962-
dc.contributor.localIdA01105-
dc.contributor.localIdA01472-
dc.contributor.localIdA01730-
dc.contributor.localIdA03138-
dc.contributor.localIdA03484-
dc.relation.journalcodeJ02813-
dc.identifier.eissn1976-2437-
dc.identifier.pmid25837179-
dc.subject.keywordDeep brain stimulation-
dc.subject.keywordH₂O PET-
dc.subject.keywordParkinson's disease-
dc.subject.keywordbrain networks-
dc.subject.keywordindependent component analysis-
dc.contributor.alternativeNameKim, Joong Il-
dc.contributor.alternativeNameKim, Hae Yu-
dc.contributor.alternativeNamePark, Bum Hee-
dc.contributor.alternativeNamePark, Hae Jeong-
dc.contributor.alternativeNameLee, Jong Doo-
dc.contributor.alternativeNameChang, Jin Woo-
dc.contributor.affiliatedAuthorKim, Joong Il-
dc.contributor.affiliatedAuthorKim, Hae Yu-
dc.contributor.affiliatedAuthorPark, Bum Hee-
dc.contributor.affiliatedAuthorPark, Hae Jeong-
dc.contributor.affiliatedAuthorLee, Jong Doo-
dc.contributor.affiliatedAuthorChang, Jin Woo-
dc.rights.accessRightsfree-
dc.citation.volume56-
dc.citation.number3-
dc.citation.startPage726-
dc.citation.endPage736-
dc.identifier.bibliographicCitationYONSEI MEDICAL JOURNAL, Vol.56(3) : 726-736, 2015-
dc.identifier.rimsid45580-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers

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