期刊
PARKINSONISM & RELATED DISORDERS
卷 56, 期 -, 页码 52-57出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.parkreldis.2018.06.021
关键词
Parkinson's disease; Subtype; Graph theory; Resting-state fMRI
资金
- National Nature Science Foundation of China [81571247]
- fund of Fundamental Research Funds for the Central Universities [2012017yjsy195]
- Innovation and Business Start-up Training Program of Sichuan University [201710611799]
Background: Resting-state functional magnetic resonance imaging (fMRI) and graph theory approaches have been combined to investigate the topographic organization in Parkinson's disease (PD). Method: Twenty cognitively unimpaired drug-naive patients with rigidity-dominant PD (PDAR) and 20 age-, sex-, and education-matched healthy controls were included. Small-world profile and topographic properties (clustering coefficient (C-p), characteristic path length (L-p), local efficiency (E-loc), global efficiency (E-glob), nodal efficiency (E-nod), nodal degree (N-Bet), and nodal betweenness (N-Deg)) were measured and compared between two groups, with age, gender and education as covariates. Correlation analyses between topographic features and the unified PD rating scale part-III (UPDRS-III) scores, cognitive scores were performed. Results: PDAR patients presented the small-world property, and abnormalities at the nodal level (E-nod N-Deg,N- and N-Bet) but not at the global level (C-p, L-p, E-loc, and E-glob). Our results revealed lower nodal centralities mainly in the occipital lobe and areas of the limbic system (including amygdala nucleus), and higher nodal centralities in distributed frontal and temporal regions. Notably, the decreased nodal efficiency of occipital regions (including the calcarine area, lingual area and superior occipital gyrus (SOG)) was negatively correlated with UPDRS-III scores. And the nodal efficiency of the calcarine area was positively correlated with visuospatial scores. Conclusion: Our results may provide insights into the underlying pathophysiology of PDAR and aid the development of potential biomarkers of the disease progression and cognitive decline in PDAR patients.
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