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dc.contributor.authorBilgic, Başar
dc.contributor.authorArsian, Ali Bilgin
dc.contributor.authorEmre, Murat
dc.contributor.authorLohmann, Ebba
dc.contributor.authorDursun, Burcu
dc.contributor.authorGurvit, Hakan
dc.contributor.authorHanagasi, Haşmet Ayhan
dc.contributor.authorBAYRAM, ALİ
dc.date.accessioned2021-03-02T21:20:58Z
dc.date.available2021-03-02T21:20:58Z
dc.date.issued2012
dc.identifier.citationBilgic B., BAYRAM A., Arsian A. B. , Hanagasi H. A. , Dursun B., Gurvit H., Emre M., Lohmann E., "Differentiating symptomatic Parkin mutations carriers from patients with idiopathic Parkinson's disease: Contribution of automated segmentation neuroimaging method", PARKINSONISM & RELATED DISORDERS, cilt.18, sa.5, ss.562-566, 2012
dc.identifier.issn1353-8020
dc.identifier.othervv_1032021
dc.identifier.otherav_0669866c-2431-4cd9-95a9-e0402c5a6c16
dc.identifier.urihttp://hdl.handle.net/20.500.12627/10170
dc.identifier.urihttps://doi.org/10.1016/j.parkreldis.2012.02.017
dc.description.abstractBackground: Parkin (PARK2) gene mutations are the predominant cause of autosomal recessive parkinsonism. Characteristic features include: early onset symptoms with slow clinical course, good response to low doses of levodopa, and frequently treatment-induced dyskinesia. Studies using a voxel-based morphometry approach showed a decrease in the gray matter volume of the basal ganglia in mutation carriers during the symptomatic stages. A bilateral, presumably compensatory increase of basal ganglia gray matter value was recently demonstrated in asymptomatic Parkin mutation carriers. Behavioral disorders including: anxiety, psychosis, panic attacks, depression, disturbed sexual, behavioral and obsessive-compulsive disorders have been reported in these patients.
dc.language.isoeng
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectDahili Tıp Bilimleri
dc.subjectNöroloji
dc.subjectKLİNİK NEUROLOJİ
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.titleDifferentiating symptomatic Parkin mutations carriers from patients with idiopathic Parkinson's disease: Contribution of automated segmentation neuroimaging method
dc.typeMakale
dc.relation.journalPARKINSONISM & RELATED DISORDERS
dc.contributor.departmentBrown University , ,
dc.identifier.volume18
dc.identifier.issue5
dc.identifier.startpage562
dc.identifier.endpage566
dc.contributor.firstauthorID99084


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