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Front Syst Neurosci. 2014 Apr 3;8:45. doi: 10.3389/fnsys.2014.00045. eCollection 2014.

Large-scale resting state network correlates of cognitive impairment in Parkinson's disease and related dopaminergic deficits.

Author information

1
Department of Psychiatry, Centre for Age-Related Medicine, Stavanger University Hospital Stavanger, Norway.
2
Department of Neurobiology, Care Sciences and Society, Karolinska Institutet Stockholm, Sweden.
3
Department of Neuroimaging, Institute of Psychiatry, King's College London London, UK ; NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia London, UK.
4
Department of Psychiatry, Centre for Age-Related Medicine, Stavanger University Hospital Stavanger, Norway ; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet Stockholm, Sweden.

Abstract

Cognitive impairment is a common non-motor feature of Parkinson's disease (PD). Understanding the neural mechanisms of this deficit is crucial for the development of efficient methods for treatment monitoring and augmentation of cognitive functions in PD patients. The current study aimed to investigate resting state fMRI correlates of cognitive impairment in PD from a large-scale network perspective, and to assess the impact of dopamine deficiency on these networks. Thirty PD patients with resting state fMRI were included from the Parkinson's Progression Marker Initiative (PPMI) database. Eighteen patients from this sample were also scanned with (123)I-FP-CIT SPECT. A standardized neuropsychological battery was administered, evaluating verbal memory, visuospatial, and executive cognitive domains. Image preprocessing was performed using an SPM8-based workflow, obtaining time-series from 90 regions-of-interest (ROIs) defined from the AAL brain atlas. The Brain Connectivity Toolbox (BCT) was used to extract nodal strength from all ROIs, and modularity of the cognitive circuitry determined using the meta-analytical software Neurosynth. Brain-behavior covariance patterns between cognitive functions and nodal strength were estimated using Partial Least Squares. Extracted latent variable (LV) scores were matched with the performances in the three cognitive domains (memory, visuospatial, and executive) and striatal dopamine transporter binding ratios (SBR) using linear modeling. Finally, influence of nigrostriatal dopaminergic deficiency on the modularity of the "cognitive network" was analyzed. For the range of deficits studied, better executive performance was associated with increased dorsal fronto-parietal cortical processing and inhibited subcortical and primary sensory involvement. This profile was also characterized by a relative preservation of nigrostriatal dopaminergic function. The profile associated with better memory performance correlated with increased prefronto-limbic processing, and was not associated with presynaptic striatal dopamine uptake. SBR ratios were negatively correlated with modularity of the "cognitive network," suggesting integrative effects of the preserved nigrostriatal dopamine system on this circuitry.

KEYWORDS:

SPECT; cognition; dopamine; graph theory; modularity; nodal strength; parkinson's disease; resting state fMRI

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