Presentation
20 August 2020 Delayed correlation analyses are sensitive to functional network changes in Parkinson’s disease
Author Affiliations +
Abstract
Parkinson's disease (PD) is a complex neurodegenerative disorder characterized by motor and non-motor deficits. Several studies found changes in the topological organization of functional networks in PD built by methods that assume a simultaneous and undirected activation between brain areas. However, changes associated with PD may result in a specific alteration of the directed activity patterns between brain areas. In this study, we propose a new method to build directed functional networks in patients with PD. We show that the directed network analyses can identify widespread functional brain changes in PD characterized by higher efficiency, clustering and transitivity as well as lower modularity. Some of these network measures were associated with motor, executive and memory deficits, suggesting they are sensitive to clinical impairment in PD. Altogether our findings suggest that the directional flow in brain activation could be used as an indicator of PD-related neuronal changes.
Conference Presentation
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Mite Mijalkov and Joana B. Pereira "Delayed correlation analyses are sensitive to functional network changes in Parkinson’s disease", Proc. SPIE 11469, Emerging Topics in Artificial Intelligence 2020, 114690X (20 August 2020); https://doi.org/10.1117/12.2569946
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KEYWORDS
Brain

Control systems

Parkinson's disease

Brain activation

Magnetic resonance imaging

Network security

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