Literature DB >> 28769862

Correlation between Dopamine Transporter Degradation and Striatocortical Network Alteration in Parkinson's Disease.

Wei-Che Lin1, Hsiu-Ling Chen1, Tun-Wei Hsu2, Chien-Chin Hsu3, Yung-Cheng Huang3, Nai-Wen Tsai4, Cheng-Hsien Lu4.   

Abstract

The association between dopamine neuron loss and functional change in the striatocortical network was analyzed in 31 patients with Parkinson's disease (PD) [mean disease duration 4.03 ± 4.20 years; Hoehn and Yahr (HY) stage 2.2 ± 1.2] and 37 age-matched normal control subjects. We performed 99mTc-TRODAT-1 SPECT/CT imaging to detect neuron losses and resting-state functional magnetic resonance imaging to detect functional changes. Mean striatal dopamine transporter binding ratios were determined by region of interest analysis. The functional connectivity correlation coefficient (fc-cc) was determined in six striatal subregions, and interactions between these binding ratios and the striatocortical fc-cc values were analyzed. The PD patients had significant functional network alterations in all striatal subregions. Lower striatal dopamine transporter binding correlated significantly with lower fc-cc values in the superior medial frontal (SMF) lobe and superior frontal lobe and higher fc-cc values in the cerebellum and parahippocampus. The difference in fc-cc between the ventral inferior striatum and SMF lobe was significantly correlated with increased disease duration (r = -0.533, P = 0.004), higher HY stage (r = -0.431, P = 0.020), and lower activities of daily living score (r = 0.369, P = 0.049). The correlation of frontostriatal network changes with clinical manifestations suggests that fc-cc may serve as a surrogate marker of disease progression.

Entities:  

Keywords:  99mTc-TRODAT-1 SPECT/CT; dopamine transporter imaging; functional connectivity; magnetic resonance imaging; movement disorder; parkinsonism

Year:  2017        PMID: 28769862      PMCID: PMC5511968          DOI: 10.3389/fneur.2017.00323

Source DB:  PubMed          Journal:  Front Neurol        ISSN: 1664-2295            Impact factor:   4.003


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