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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Aberrant cerebral network topology and mild cognitive impairment in early Parkinson's disease
Joana B Pereira1, Dag Aarsland2,3, Cedric E Ginestet4
1Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.
Abstract:
The aim of this study was to assess whether mild cognitive impairment (MCI) is associated with disruption in large-scale structural networks in newly diagnosed, drug-naïve patients with Parkinson's disease (PD). Graph theoretical analyses were applied to 3T MRI data from 123 PD patients and 56 controls from the Parkinson's progression markers initiative (PPMI). Thirty-three patients were classified as having Parkinson's disease with mild cognitive impairment (PD-MCI) using the Movement Disorders Society Task Force criteria, while the remaining 90 PD patients were classified as cognitively normal (PD-CN). Global measures (clustering coefficient, characteristic path length, global efficiency, small-worldness) and regional measures (regional clustering coefficient, regional efficiency, hubs) were assessed in the structural networks that were constructed based on cortical thickness and subcortical volume data. PD-MCI patients showed a marked reduction in the average correlation strength between cortical and subcortical regions compared with controls. These patients had a larger characteristic path length and reduced global efficiency in addition to a lower regional efficiency in frontal and parietal regions compared with PD-CN patients and controls. A reorganization of the highly connected regions in the network was observed in both groups of patients. This study shows that the earliest stages of cognitive decline in PD are associated with a disruption in the large-scale coordination of the brain network and with a decrease of the efficiency of parallel information processing. These changes are likely to signal further cognitive decline and provide support to the role of aberrant network topology in cognitive impairment in patients with early PD.
Insights
Mild cognitive impairment in Parkinson's disease (PD) is linked to disrupted brain networks. Early detection of these network changes may predict future cognitive decline in PD patients.
Area of Science:
- Neuroscience
- Neurology
- Medical Imaging
Background:
- Parkinson's disease (PD) is a neurodegenerative disorder often accompanied by cognitive impairment.
- Early identification of cognitive decline in PD is crucial for management and prognosis.
- Large-scale brain network disruptions may underlie cognitive changes in early PD.
Purpose of the Study:
- To investigate the association between mild cognitive impairment (MCI) and structural brain network alterations in newly diagnosed, drug-naïve Parkinson's disease (PD) patients.
- To analyze graph theoretical properties of brain networks in PD patients with and without MCI.
Main Methods:
- Utilized 3T MRI data from 123 PD patients and 56 controls from the Parkinson's Progression Markers Initiative (PPMI).
- Applied graph theoretical analyses to structural networks derived from cortical thickness and subcortical volume data.
- Classified PD patients into Parkinson's disease with mild cognitive impairment (PD-MCI) and cognitively normal (PD-CN) groups.
Main Results:
- PD-MCI patients exhibited reduced average correlation strength between cortical and subcortical regions compared to controls.
- PD-MCI patients showed increased characteristic path length, reduced global efficiency, and lower regional efficiency in frontal and parietal areas.
- Both PD-MCI and PD-CN groups displayed reorganization of highly connected brain regions.
Conclusions:
- Early cognitive decline in PD is associated with disrupted large-scale brain network coordination.
- Reduced network efficiency in parallel information processing is observed in PD-MCI.
- Aberrant brain network topology likely contributes to cognitive impairment in early Parkinson's disease.
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