Cortical connectivity predicts cognition across time in Parkinson's disease

Area of Science:

• Neuroscience
• Neurology
• Cognitive Science

Background:

• Cognitive symptoms are prevalent in Parkinson's disease (PD), significantly impacting patient quality of life.
• The neural underpinnings of cognitive impairment in PD remain incompletely understood, necessitating further investigation.

Purpose of the Study:

• To explore the relationship between functional brain connectivity and cognitive performance in individuals with Parkinson's disease.
• To examine how changes in connectivity within and between key brain networks correlate with cognitive decline over time.

Main Methods:

• Utilized longitudinal functional magnetic resonance imaging (fMRI) data from the Parkinson's Progression Marker Initiative (PPMI).
• Assessed resting-state functional connectivity within and between the frontoparietal network (FPN), salience network (SAL), and default mode network (DMN).
• Evaluated cognitive function using the Montreal Cognitive Assessment (MoCA) and analyzed data with linear mixed-effects modeling.

Main Results:

• A significant association was found between decreased functional connectivity between the FPN and DMN and lower MoCA scores over time.
• This suggests that disruptions in cortical network interactions are linked to the progression of cognitive deficits in Parkinson's disease.

Conclusions:

• Cortical functional connectivity plays a crucial role in cognitive function and its decline in Parkinson's disease.
• The findings highlight the importance of studying functional brain network architecture to understand and potentially mitigate cognitive symptoms in PD.