Magnetic Susceptibility Associates With Dopaminergic Deficits and Cognition in Parkinson's Disease

2020 ◽  
Vol 35 (8) ◽  
pp. 1396-1405 ◽  
Author(s):  
Yuto Uchida ◽  
Hirohito Kan ◽  
Keita Sakurai ◽  
Shohei Inui ◽  
Susumu Kobayashi ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Magnetic Susceptibility

scholarly journals The whole-brain pattern of magnetic susceptibility perturbations in Parkinson’s disease

Brain ◽  
2016 ◽  
Vol 140 (1) ◽  
pp. 118-131 ◽  
Author(s):  
Julio Acosta-Cabronero ◽  
Arturo Cardenas-Blanco ◽  
Matthew J. Betts ◽  
Michaela Butryn ◽  
Jose P. Valdes-Herrera ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Magnetic Susceptibility ◽  
Whole Brain ◽  
Brain Pattern

High resolution magnetic susceptibility mapping of the substantia nigra in Parkinson's disease

2011 ◽  
Vol 35 (1) ◽  
pp. 48-55 ◽  
Author(s):  
Ashley K. Lotfipour ◽  
Samuel Wharton ◽  
Stefan T. Schwarz ◽  
V. Gontu ◽  
Andreas Schäfer ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Magnetic Susceptibility ◽  
High Resolution ◽  
Substantia Nigra ◽  
Susceptibility Mapping

PATH53 Magnetic susceptibility of substantia nigra in Parkinson's disease: a 7-T in vivo MRI study

2010 ◽  
Vol 81 (11) ◽  
pp. e22-e22 ◽  
Author(s):  
N. Bajaj ◽  
A. Schafer ◽  
S. Wharton ◽  
V. Gontu ◽  
R. Bowtell ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Magnetic Susceptibility ◽  
Substantia Nigra ◽  
Mri Study

scholarly journals Determination of brain iron content in patients with Parkinson’s disease using magnetic susceptibility imaging

2009 ◽  
Vol 25 (6) ◽  
pp. 353-360 ◽  
Author(s):  
Wei Zhang ◽  
Sheng-Gan Sun ◽  
Yu-Hong Jiang ◽  
Xian Qiao ◽  
Xin Sun ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Magnetic Susceptibility ◽  
Iron Content ◽  
Brain Iron

scholarly journals Improved Quantitative Susceptibility Mapping under Laplace Algorithm in Diagnosis of Parkinson’s Disease

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Guangxi Chen ◽  
Liang Zeng ◽  
Liu Yang ◽  
Yixian Yu ◽  
Panli Sun ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Magnetic Susceptibility ◽  
Image Quality ◽  
Diagnostic Accuracy ◽  
Susceptibility Mapping ◽  
Control Group ◽  
Dice Similarity Coefficient ◽  
Quantitative Susceptibility Mapping ◽  
Experimental Group

To explore the application value of quantitative susceptibility mapping (QSM) based on Laplace algorithm in the diagnosis of Parkinson’s disease, 48 Parkinson’s disease patients admitted to our hospital were included as the research objects. They were randomly divided into control group (24 cases) and experimental group (24 cases). All patients underwent quantitative magnetic susceptibility imaging scan. In the experimental group, the improved Laplace algorithm was used for QSM diagnosis, while in the control group, conventional QSM diagnosis was used. Through calculations of precision, recall, dice similarity coefficient, intersection-over-union (IoU), and area under the curve (AUC), the quality improvement effect of the improved Laplace algorithm for QSM image was assessed. Then, the diagnostic accuracy of the algorithm was verified by comparing with the results of QSM image diagnosis in Parkinson’s patients without algorithm processing. The results showed that compared with the traditional Laplace algorithm, the improved Laplace algorithm can considerably reduce the image noise level ( P < 0.05 ). The dice, IoU, precision, and recall rate of image quality evaluation indicator were considerably improved ( P < 0.05 ), and the AUC reached 0.896. There were no significant differences in fraction anisotropy (FA) and mean diffusivity (MD) between the two groups ( P > 0.05 ) and no significant differences in magnetic susceptibility of brain nuclei between the two groups ( P > 0.05 ). However, they all showed high magnetic susceptibility in the substantia nigra region of the brain. Compared with the control group, the diagnostic accuracy of the experimental group was 97.5 ± 1.23%, which was considerably higher than that of the control group (86.5 ± 3.56%) ( P < 0.05 ). In short, the image quality of QSM based on Laplace improved algorithm was greatly improved, and the diagnostic accuracy of PD was also greatly improved, which was worthy of promotion in the field of clinical QSM imaging diagnosis of PD.

Evaluation of Efferent Auditory System and Hearing Quality in Parkinson's Disease: Is the Difficulty in Speech Understanding in Complex Listening Conditions Related to Neural Degeneration or Aging?

2020 ◽  
pp. 1-9
Author(s):  
Nuriye Yıldırım Gökay ◽  
Bülent Gündüz ◽  
Fatih Söke ◽  
Recep Karamert
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Auditory System ◽  
Otoacoustic Emissions ◽  
Pure Tone ◽  
Pure Tone Audiometry ◽  
Auditory Pathway ◽  
Normal Hearing ◽  
System Function ◽  
Distortion Product

Purpose The effects of neurological diseases on the auditory system have been a notable issue for investigators because the auditory pathway is closely associated with neural systems. The purposes of this study are to evaluate the efferent auditory system function and hearing quality in Parkinson's disease (PD) and to compare the findings with age-matched individuals without PD to present a perspective on aging. Method The study included 35 individuals with PD (mean age of 48.50 ± 8.00 years) and 35 normal-hearing peers (mean age of 49 ± 10 years). The following tests were administered for all participants: the first section of the Speech, Spatial and Qualities of Hearing Scale; pure-tone audiometry, speech audiometry, tympanometry, and acoustic reflexes; and distortion product otoacoustic emissions (DPOAEs) and contralateral suppression of DPOAEs. SPSS Version 25 was used for statistical analyses, and values of p < .05 were considered statistically significant. Results There were no statistically significant differences in the pure-tone audiometry thresholds and DPOAE responses between the individuals with PD and their normal-hearing peers ( p = .732). However, statistically significant differences were found between the groups in suppression levels of DPOAEs and hearing quality ( p < .05). In addition, a statistically significant and positive correlation was found between the amount of suppression at some frequencies and the Speech, Spatial and Qualities of Hearing Scale scores. Conclusions This study indicates that medial olivocochlear efferent system function and the hearing quality of individuals with PD were affected adversely due to the results of PD pathophysiology on the hearing system. For optimal intervention and follow-up, tasks related to hearing quality in daily life can also be added to therapies for PD.

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