AUTHOR=Chang Ya-Ting , Lu Cheng-Hsien , Wu Ming-Kung , Hsu Shih-Wei , Huang Chi-Wei , Chang Wen-Neng , Lien Chia-Yi , Lee Jun-Jun , Chang Chiung-Chih 

TITLE=Salience Network and Depressive Severities in Parkinson’s Disease with Mild Cognitive Impairment: A Structural Covariance Network Analysis

JOURNAL=Frontiers in Aging Neuroscience

VOLUME=9

YEAR=2018

URL=https://www.frontiersin.org/journals/aging-neuroscience/articles/10.3389/fnagi.2017.00417

DOI=10.3389/fnagi.2017.00417

ISSN=1663-4365

ABSTRACT=<p><bold>Purpose:</bold> In Parkinson’s disease with mild cognitive impairment (PD-MCI), we investigated the clinical significance of salience network (SN) in depression and cognitive performance.</p><p><bold>Methods:</bold> Seventy seven PD-MCI patients that fulfilled multi-domain and non-amnestic subtype were included. Gray matter structural covariance networks were constructed by 3D T1-magnetic resonance imaging and seed based analysis. The patients were divided into two groups by psychiatric interviews and screening of Geriatric Depression Scale (GDS): PD-MCI with depression (PD-MCI-D) or without depression (PD-MCI-ND). The seed or peak cluster volume, or the significant differences in the regression slopes in each seed-peak cluster correlation, were used to evaluate the significance with the neurobehavioral scores.</p><p><bold>Results:</bold> This study is the first to demonstrate that the PD-MCI-ND group presented a larger number of voxels of structural covariance in SN than the PD-MCI-D group. The right fronto-insular seed volumes and the peak cluster of left lingual gyrus showed significant inverse correlation with the Geriatric Depression Scale (GDS; <italic>r</italic> = -0.231, <italic>P</italic> = 0.046).</p><p><bold>Conclusions:</bold> This study is the first to validate the clinical significance of the SN in PD-MCI-D. The right insular seed value and the SN correlated with the severity of depression in PD-MCI.</p>