Increased Basal Ganglia Modulatory Effective Connectivity Observed in Resting-State fMRI in Individuals With Parkinson's Disease

• Published in: Frontiers in aging neuroscience Vol. 14; p. 719089
• Main Authors: Wapstra, Nicholas J, Ketola, Micah, Thompson, Shelby, Lee, Adel, Madhyastha, Tara, Grabowski, Thomas J, Stocco, Andrea
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 08.03.2022; Frontiers Media S.A
• Subjects: Aging; Aging Neuroscience; Basal ganglia; Brain; Brain architecture; Brain mapping; Cognition & reasoning; Cognitive ability; common model of cognition; Computational neuroscience; Cortex (somatosensory); Cortex (temporal); Dopamine; Dopamine receptors; dynamic causal modeling; Functional anatomy; Functional magnetic resonance imaging; Memory; Movement disorders; Neural networks; Neurodegenerative diseases; Neuroimaging; Parkinson's disease; Prefrontal cortex; resting-state fMRI; Structure-function relationships; Temporal lobe; basal ganglia; common model of cognition; dynamic causal modeling; resting-state fMRI; Parkinson’s disease
• ISSN: 1663-4365; 1663-4365
• DOI: 10.3389/fnagi.2022.719089

Alterations to interactions between networked brain regions underlie cognitive impairment in many neurodegenerative diseases, providing an important physiological link between brain structure and cognitive function. Previous attempts to characterize the effects of Parkinson's disease (PD) on network functioning using resting-state functional magnetic resonance imaging (rs-fMRI), however, have yielded inconsistent and contradictory results. Potential problems with prior work arise in the specifics of how the area targeted by the diseases (the basal ganglia) interacts with other brain regions. Specifically, current computational models point to the fact that the basal ganglia contributions should be captured with modulatory (i.e., second-order) rather than direct (i.e., first-order) functional connectivity measures. Following this hypothesis, a principled but manageable large-scale brain architecture, the Common Model of Cognition, was used to identify differences in basal ganglia connectivity in PD by analyzing resting-state fMRI data from 111 participants (70 patients with PD; 41 healthy controls) using Dynamic Causal Modeling (DCM). Specifically, the functional connectivity of the basal ganglia was modeled as two second-level, modulatory connections that control projections from sensory cortices to the prefrontal cortex, and from the hippocampus and medial temporal lobe to the prefrontal cortex. We then examined group differences between patients with PD and healthy controls in estimated modulatory effective connectivity in these connections. The variant of the Common Model of Cognition outperformed the model across all subjects. It was also found that these second-level modulatory connections had higher estimates of effective connectivity in the PD group compared to the control group, and that differences in effective connectivity were observed for all direct connections between the PD and control groups.We make the case that accounting for modulatory effective connectivity better captures the effects of PD on network functioning and influences the interpretation of the directionality of the between-group results. Limitations include that the PD group was scanned on dopaminergic medication, results were derived from a reasonable but small number of individuals and the ratio of PD to healthy control participants was relatively unbalanced. Future research will examine if the observed effect holds for individuals with PD scanned off their typical dopaminergic medications.