Objective: Parkinson's disease (PD) is a neurodegenerative disease characterized by clinical motor symptoms. In addition to motor symptoms, cognitive impairment is one of the most common non-motor symptom observed in PD. In this study, functional connectivity (FC) changes in PD were investigated by performing a seed-based analysis using resting-state functional magnetic resonance imaging (rs-fMRI) data to identify neuroimaging patterns related to motor and cognitive impairment in PD. Methods: 55 PD patients diagnosed with PD according to the UK Brain Bank Diagnostic Criteria and 24 healthy controls (HC) matched for age, education, and gender were included in the study. Resting-state fMRI was acquired on a 3T MR (Phillips, Achieva, The Netherlands) at Istanbul Medical Faculty. To evaluate motor and executive, visuospatial cognitive functions of PD patients, UPDRS-III, Stroop, and Benton Judgment of Line Orientation tests were used, respectively. Seed-based FB analysis was performed using the CONN toolbox. Network-Based Statistics (NBS) method was carried out using the AAL3 atlas including 112 seeds to compare HC with the PH and with the PH sub-groups classified in terms of motor and cognitive performances. Results: Compared to the HC, the PD group showed decreased FC in the 78 connections and 21 cortical regions including mostly the sensorimotor and visual areas (p<0.05, FWE-corrected). Compared to the HC, the PD sub-group with low motor performance showed decreased FC in the 22 connections (p<0.05, FWE-corrected); the PD sub-group with low visuospatial performance showed decreased FC in the 38 connections (p<0.05, FWE-corrected). Conclusion: In our study, a significant decrease in FC was detected between the sensorimotor and the visual network, indicating impaired visual-motor integration in PD. Furthermore, our results showed that FC alterations between the sensorimotor and visual regions increase associated with visuospatial cognitive impairment in PD. [ABSTRACT FROM AUTHOR]