Pixel-wise analysis of pet images obtained with pre- and post-synaptic dopamine receptor radioligands in healthy subjects and parkinson's disease

2017 ◽  
Vol 381 ◽  
pp. 130
Author(s):  
A. Avendano-estrada ◽  
M.A. Avila-rodriguez
2021 ◽  
Vol 57 (2) ◽  
pp. 177-183
Author(s):  
Seong Hyun Moon ◽  
◽  
Rahul Soangra ◽  
Christopher F. Frames ◽  
Thurmon E. Lockhart ◽  
...  

Parkinson’s Disease (PD) is a neurodegenerative disorder affecting the substantia nigra, which leads to more than half of PD patients are considered to be at high risk of falling. Recently, Inertial Measurement Unit (IMU) sensors have shown great promise in the classification of activities of daily living (ADL) such as walking, standing, sitting, and laying down, considered to be normal movement in daily life. Measuring physical activity level from longitudinal ADL monitoring among PD patients could provide insights into their fall mechanisms. In this study, six PD patients (mean age=74.3±6.5 years) and six young healthy subjects (mean age=19.7±2.7 years) were recruited. All the subjects were asked to wear the single accelerometer, DynaPort MM+ (Motion Monitor+, McRoberts BV, The Hague, Netherlands), with a sampling frequency of 100 Hz located at the L5-S1 spinal area for 3 days. Subjects maintained a log of activities they performed and only removed the sensor while showering or performing other aquatic activities. The resultant acceleration was filtered using high and low pass Butterworth filters to determine dynamic and stationary activities. As a result, it was found that healthy young subjects performed significantly more dynamic activities (13.2%) when compared to PD subjects (7%), in contrast, PD subjects (92.9%) had significantly more stationary activities than young healthy subjects (86.8%).


Brain ◽  
2009 ◽  
Vol 132 (5) ◽  
pp. 1366-1375 ◽  
Author(s):  
I. Boileau ◽  
M. Guttman ◽  
P. Rusjan ◽  
J. R. Adams ◽  
S. Houle ◽  
...  

1987 ◽  
Vol 68 (1-2) ◽  
pp. 41-50 ◽  
Author(s):  
A. Braun ◽  
G. Fabbrini ◽  
M. M. Mouradian ◽  
C. Serrati ◽  
P. Barone ◽  
...  

Author(s):  
Sophie V. Adama ◽  
Martin Bogdan

This article describes how Stroke and Parkinson's disease are two illnesses that particularly affect motor functions. With the advancements in technology, there is a lot of research focusing on finding solutions: to contribute to neuroplasticity in the first case, and to reduce symptoms in the second case. This manuscript describes the design of a brain-computer interface system (BCI) system paired with an electrical muscle stimulation suit for stroke rehabilitation and the reduction of tremors caused by Parkinson's disease. The idea is to strengthen the sensory-motor feedback loop, which will allow a more stabilized control of the affected extremities by taking into account the patient's motivation. To do so, his brain signals are measured to detect his intention to attempt to execute a movement, in contrast to the classical approach where the movement executions are imposed. A first feasibility study was completed. The author's next step is planning to test the system first with healthy subjects and finally with patients.


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