Cheng Zhou1 and Minming Zhang1
1Zhejiang university, Hangzhou, China
Synopsis
Parkinson’s
disease (PD) is the second most common neurodegenerative disease and its
related brain changes appear not to be localized in isolate region but rather
in the networks. We desire to exploring the large-scale structural and
functional networks change which are of great importance for understanding the
mechanism of disease. Moreover, it deserves to further answer the unsolved
question that whether a functional compensation resulting from structural
network disruption and whether such effect would be lasting or changed
longitudinally.
Introduction
Parkinson’s
disease (PD) related brain changes appear not to be localized in isolate region
like substantia nigra but rather in the network of a multitude of brain regions1,
2, 3. Exploring the large-scale networks changes is of great importance
for diagnosis or understanding the mechanism of PD.Methods
One
hundred and four PD patients and 77 healthy controls were included in this
study. Deformation-based morphometry and independent component analysis (ICA)
were conducted to assess the disruption of large-scale structural networks in
PD patients4, 5, 6.
Functional ICA was performed in the same set of subjects. The components showed
best spatial overlap with disrupted structural networks were selected as the
corresponding functional networks and the changes of network connectivity in PD
patients were assessed. Then, the association between structural network
integrity and the strength of functional network connectivity were evaluated.
Moreover, longitudinal analysis was conducted to further validate the
functional connectivity alterations in 37 of the patients who had follow-up
data.Results
PD
patients showed decreased structural covariance between anterior and posterior
cingulate networks (Figure 1). PD patients showed increased
connectivity between anterior and posterior cingulate functional networks at
baseline and decreased connectivity at follow-up (Figure 2 and 3).
Increased functional connectivity was negatively correlated with decreased
integrity of the cingulate structural network (Figure 4).Conclusion
Our
findings suggested that cingulate structural network which was similar to the
default mode network display a high susceptibility in PD patients. Decreased
covariance between anterior and posterior cingulate structural networks might
indicate the structural basis of cognitive impairment, and increased functional
connectivity between them could provide a temporal compensation on structural
disruption.Acknowledgements
The
authors thank the team at the department of Radiology, the Second Affiliated
Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
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