Browsing by Author "Çavuşoğlu, Berrin"

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Cortical Thickness Alterations in Parkinson's Disease With Mild Cognitive Impairment
(Galenos Publ House, 2023) Çavuşoğlu, Berrin; Hünerli, Duygu; Kıyı, İlayda; Çakmur, Raif; Yener, Görsev; Ada, Emel
Objective: This study investigated cortical thickness differences and their relationships with cognitive functions in Parkinson's disease (PD) with mild cognitive impairment (MCI) and cognitively normal (CN). Materials and Methods: Twenty-two patients with PD-MCI, 23 with PD-CN, and 23 healthy controls with structural brain magnetic resonance imaging scans and complete neuropsychological tests were enrolled in this study. Cortical thickness analysis was performed using the Statistical Parametric Mapping 12 software package. Correlations with cognitive functions were examined. Results: Cortical thickness was significantly lower in the PD-CN and PD-MCI patient groups than in healthy controls in the left precuneus and isthmus-cingulate cortex, right pars orbitalis, insula, and lateral orbitofrontal cortex. In addition, the PD-MCI group also exhibited cortical thinning in the left superior temporal gyrus, transverse temporal cortex, supramarginal gyrus, and bilateral posterior cingulate cortex compared with healthy controls. Correlation analyses among cortical thickness and cognitive scores of PD also revealed moderate associations between memory and the posterior cingulate cortex; language and the precuneus; and executive functions and the insula and isthmus-posterior cingulate cortices. Conclusion: MCI in PD may be related to cortical alterations in the posterior cingulate cortex and the left temporoparietal cortex, which has been associated with subtle cognitive deficits in PD.
Citation - WoS: 6
Citation - Scopus: 5
Functional Magnetic Resonance Imaging Study During Resting State and Visual Oddball Task in Mild Cognitive Impairment
(Wiley, 2023) Kemik, Kerem; Ada, Emel; Çavuşoğlu, Berrin; Aykaç, Cansu; Emek-Savaş, Derya Durusu; Yener, Görsev
BackgroundAmnestic mild cognitive impairment (aMCI) is a transitional state between normal aging and dementia, and identifying early biomarkers is crucial for disease detection and intervention. Functional magnetic resonance imaging (fMRI) has the potential to identify changes in neural activity in MCI. MethodsWe investigated neural activity changes in the visual network of the aMCI patients (n:20) and healthy persons (n:17) using resting-state fMRI and visual oddball task fMRI. We used independent component analysis to identify regions of interest and compared the activity between groups using a false discovery rate correction. ResultsResting-state fMRI revealed increased activity in the areas that have functional connectivity with the visual network, including the right superior and inferior lateral occipital cortex, the right angular gyrus and the temporo-occipital part of the right middle temporal gyrus (p-FDR = 0.008) and decreased activity in the bilateral thalamus and caudate nuclei, which are part of the frontoparietal network in the aMCI group (p-FDR = 0.002). In the visual oddball task fMRI, decreased activity was found in the right frontal pole, the right frontal orbital cortex, the left superior parietal lobule, the right postcentral gyrus, the right posterior part of the supramarginal gyrus, the right superior part of the lateral occipital cortex, and the right angular gyrus in the aMCI group. ConclusionOur results suggest the alterations in the visual network are present in aMCI patients, both during resting-state and task-based fMRI. These changes may represent early biomarkers of aMCI and highlight the importance of assessing visual processing in cognitive impairment. However, future studies with larger sample sizes and longitudinal designs are needed to confirm these findings.
White Matter Alterations in Amnestic Mild Cognitive Impairment: a Tract-Based Spatial Statistics Study
(2022) Çavuşoğlu, Berrin; Ada, Emel; Emek Savaş, Derya Durusu; Yener, Görsev
Purpose: To compare white matter (WM) structural alterations between the subjects with amnestic mild cognitive impairment (MCI) which is a transitional state to Alzheimer's Disease (AD) and healthy elderly controls. Methods: Diffusion tensor imaging (DTI) scans of 20 subjects with amnestic MCI and 20 healthy control groups who are matched by age, gender, and education with the MCI group between 2011 and 2016 were examined by in this retrospective study. WM structural integrity was analyzed using tract- based spatial statistics (TBSS) for voxel-based differences in fractional anisotropy (FA) between the two groups. Results: Fractional anisotropy was found significantly lower in the forceps minor, the body and genu of the corpus callosum, the right anterior thalamic radiation, the right cingulum, the right inferior fronto-occipital fasciculus, the right superior longitudinal fasciculus, and the right superior corona radiata in the MCI group than the control group. Conclusion: TBSS analysis is a promising method to examine structural WM integrity. These findings suggested that the DTI measurements may be useful for the detection of preclinical changes in AD.