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- Title
Structural and functional alterations related with cognitive impairment in Parkinson's disease.
- Authors
Kıçik, Ani; Erdoğdu, Emel; Arslan, Dilek Betül; Cengiz, Sevim; Bilgiç, Başar; Tüfekçioğlu, Zeynep; Hanağası, Haşmet; Uluğ, Aziz Müfit; Tüzün, Erdem; Demiralp, Tamer; Işık, Esin Öztürk; Gürvit, İ. Hakan
- Abstract
Objective: Parkinson's disease-mild cognitive impairment (PD-MCI) has a higher risk of developing PD dementia (PDD) and a reliable biomarker for the diagnosis of PD-MCI has not developed yet. In this study, in order to develop discriminative neurobiological parameters for PD-MCI, functional and structural differences among PD-MCI, cognitively normal PD (CN-PD) and healthy controls (HC) were investigated using resting-state functional MRI (rs-fMRI) and diffusion tensor imaging (DTI) modalities. Methods: 60 PD (27 PH-CN, 33 PD-MCI) patients and 17 HC were included in this study. MR imaging was performed on 3T Phillips MRI scanner. Resting state networks (RSN) were obtained by using independent component analysis (ICA) in Group-ICA fMRI Toolbox. Expression scores specific for each subject were fed into logistic regression to obtain RSNs discriminating three groups from each other. ROI based approach was used for analysis of DTI data and fractional anisotropy (FA) values of each subject were compared with one-way ANOVA. Results: Logistic regression analysis yielded maximum separation of between PD-MCI and PD-CN groups with default mode network (DMN) - posterior cingulate component with an overall accuracy of 63,3% (χ2=6.945, df=1, p=0.008). Sensorymotor and visual network provided maximum separation between PDMCI and HC groups with an overall accuracy of 80% (χ2=9.514, df=2, p=0.009). FA values differed among three groups in the superior longitudinal fasciculus (SLF) (p=0.028) and SLF-temporal part (p=0.026) and FA values in these ROIs significantly decreased in PD-MCI compared to HC. Conclusion: In previous studies, lower connectivity in DMN and decreased FA values in SLF have been demonstrated in patients with PDD. In this regard, our similar results in PDMCI may be an indicator for cognitive decline in PD. Additionally, lower connectivity in visual network could be associated with visuospatial impairment in PD-MCI. Supported by TUBITAK #115S219 and IU-BAP #21336.
- Subjects
PARKINSON'S disease; MILD cognitive impairment; FUNCTIONAL magnetic resonance imaging
- Publication
Anatomy: International Journal of Experimental & Clinical Anatomy, 2018, Vol 12, Issue Supp1, pS46
- ISSN
1307-8798
- Publication type
Abstract