Keywords: Parkinson's Disease, Analysis/Processing
Motivation: Investigating the neural mechanisms of cognitive deficits in Parkinson’s disease (PD) is vital for early detection and intervention. Efficient, reliable tools are needed for improved diagnosis and outcomes.
Goal(s): Our aim is to evaluate the relationship between functional MRI (fMRI)-derived metrics and cognitive performance in PD with mild cognitive impairment (PD-MCI), PD with normal cognition (PD-NC), and healthy controls (HC).
Approach: We analyzed fALFF and KccReHo in resting-state fMRI data and correlated them with clinical outcomes.
Results: Distinct imaging patterns were observed in PD-MCI versus PD-NC, highlighting brain activity and connectivity linked to MCI.
Impact: Our study demonstrates the potential of resting-state functional-MRI as a potential neuroimaging technique for diagnosing mild cognitive impairment in Parkinson’s disease. Our findings highlight their role in diagnostic accuracy offering insights into brain activity and connectivity associated with cognitive decline.
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