Dopaminergic treatment modulates sensory attenuation at the onset of the movement in Parkinson's disease: A test of a new framework for bradykinesia

2016 ◽  
Vol 31 (1) ◽  
pp. 143-146 ◽  
Author(s):  
Antonella Macerollo ◽  
Jui-Cheng Chen ◽  
Prasad Korlipara ◽  
Thomas Foltynie ◽  
John Rothwell ◽  
...  

2019 ◽  
Vol 10 ◽  
Author(s):  
Antonella Macerollo ◽  
Patricia Limousin ◽  
Prasad Korlipara ◽  
Tom Foltynie ◽  
Mark J. Edwards ◽  
...  


2016 ◽  
Vol 22 ◽  
pp. e62
Author(s):  
Antonella Macerollo ◽  
Jui-Cheng Chen ◽  
Prasad Korlipara ◽  
Thomas Foltynie ◽  
John Rothwell ◽  
...  


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Noham Wolpe ◽  
◽  
Jiaxiang Zhang ◽  
Cristina Nombela ◽  
James N. Ingram ◽  
...  


2016 ◽  
Vol 22 ◽  
pp. e9
Author(s):  
Antonella Macerollo ◽  
Jui-Cheng Chen ◽  
Prasad Korlipara ◽  
Thomas Foltynie ◽  
John Rothwell ◽  
...  


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Noham Wolpe ◽  
◽  
Jiaxiang Zhang ◽  
Cristina Nombela ◽  
James N. Ingram ◽  
...  


2021 ◽  
Vol 11 (5) ◽  
pp. 580
Author(s):  
Joshua Kearney ◽  
John-Stuart Brittain

People with Parkinson’s disease (PD) experience motor symptoms that are affected by sensory information in the environment. Sensory attenuation describes the modulation of sensory input caused by motor intent. This appears to be altered in PD and may index important sensorimotor processes underpinning PD symptoms. We review recent findings investigating sensory attenuation and reconcile seemingly disparate results with an emphasis on task-relevance in the modulation of sensory input. Sensory attenuation paradigms, across different sensory modalities, capture how two identical stimuli can elicit markedly different perceptual experiences depending on our predictions of the event, but also the context in which the event occurs. In particular, it appears as though contextual information may be used to suppress or facilitate a response to a stimulus on the basis of task-relevance. We support this viewpoint by considering the role of the basal ganglia in task-relevant sensory filtering and the use of contextual signals in complex environments to shape action and perception. This perspective highlights the dual effect of basal ganglia dysfunction in PD, whereby a reduced capacity to filter task-relevant signals harms the ability to integrate contextual cues, just when such cues are required to effectively navigate and interact with our environment. Finally, we suggest how this framework might be used to establish principles for effective rehabilitation in the treatment of PD.



2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Mahnaz Behroozi ◽  
Ashkan Sami

Recently, speech pattern analysis applications in building predictive telediagnosis and telemonitoring models for diagnosing Parkinson’s disease (PD) have attracted many researchers. For this purpose, several datasets of voice samples exist; the UCI dataset named “Parkinson Speech Dataset with Multiple Types of Sound Recordings” has a variety of vocal tests, which include sustained vowels, words, numbers, and short sentences compiled from a set of speaking exercises for healthy and people with Parkinson’s disease (PWP). Some researchers claim that summarizing the multiple recordings of each subject with the central tendency and dispersion metrics is an efficient strategy in building a predictive model for PD. However, they have overlooked the point that a PD patient may show more difficulty in pronouncing certain terms than the other terms. Thus, summarizing the vocal tests may lead into loss of valuable information. In order to address this issue, the classification setting must takewhathas been said into account. As a solution, we introduced a new framework that applies an independent classifier for each vocal test. The final classification result would be a majority vote from all of the classifiers. When our methodology comes with filter-based feature selection, it enhances classification accuracy up to15%.



2017 ◽  
Author(s):  
Noham Wolpe ◽  
Jiaxiang Zhang ◽  
Cristina Nombela ◽  
James N Ingram ◽  
Daniel M Wolpert ◽  
...  

ABSTRACTAbnormal initiation and control of voluntary movements are among the principal manifestations of Parkinson’s disease (PD). However, the processes underlying these abnormalities and their potential remediation by dopamine treatment remain poorly understood. Normally, movements depend on the integration of sensory information with the predicted consequences of action. This integration leads to a suppression in the intensity of predicted sensations, and increases the relative salience of unexpected stimuli to facilitate the control of movements. We examined this integration process and its relation to dopamine in PD, by measuring sensorimotor attenuation – the reduction in the perceived intensity of predicted sensations from self-generated versus external actions. Patients with idiopathic PD (n=18) and population-derived controls (n=175) matched a set of target forces applied to their left index finger by a torque motor. To match the force, participants either pressed with their right index finger (‘Direct’ condition) or used a linear potentiometer that controlled a motor (‘Slider’ condition). We found that despite changes in sensitivity to different forces, overall sensory attenuation did not differ between medicated PD patients and controls. Importantly, the degree of attenuation was negatively related to PD motor severity but positively related to individual patient dopamine dose, as measured by levodopa dose equivalency. The results suggest that dopamine could regulate the integration of sensorimotor prediction with sensory information to facilitate the control of voluntary movements.



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