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Comparison of Structural Connectivity in Parkinson's Disease With Depressive Symptoms Versus Non-Depressed: A Diffusion Mri Connectometry Study Publisher Pubmed



Ansari M1, 2 ; Moradi SA1, 2 ; Sherbaf FG1, 2 ; Hedayatnia A1 ; Aarabi MH1, 2
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Authors Affiliations
  1. 1. Neuroimaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran
  2. 2. Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran

Source: International Psychogeriatrics Published:2019


Abstract

Objective: Research on psychobiological markers of Parkinson's disease (PD) remains a hot topic. Non-motor symptoms such as depression and REM sleep behavior disorder (RBD) each attribute to a particular neurodegenerative cluster in PD, and might enlighten the way for early prediction/detection of PD. The neuropathology of mood disturbances remains unclear. In fact, a few studies have investigated depression using diffusion magnetic resonance imaging (diffusion MRI). Method: Diffusion MRI of PD patients without comorbid RBD was used to assess whether microstructural abnormalities are detectable in the brain of 40 PD patients with depression compared to 19 patients without depression. Diffusion MRI connectometry was used to carry out group analysis between age- and gender-matched PD patients with and without depressive symptoms. Diffusion MRI connectometry is based on spin distribution function, which quantifies the density of diffusing water and is a sensitive and specific analytical method to psychological differences between groups. Results: A significant difference (FDR = 0.016129) was observed in the left and right uncinate fasciculi, left and right inferior longitudinal fasciculi, left and right fornices, left inferior fronto-occipital fasciculus, right corticospinal tract, genu of corpus callosum, and middle cerebellar peduncle. Conclusion: These results suggest the prominent circuits involved in emotion recognition, particularly negative emotions, might be impaired in comorbid depressive symptoms in PD. © International Psychogeriatric Association 2018
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