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Dopamine Replacement Therapy, Learning and Reward Prediction in Parkinson’s Disease: Implications for Rehabilitation

Overview of attention for article published in Frontiers in Behavioral Neuroscience, June 2016
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Title
Dopamine Replacement Therapy, Learning and Reward Prediction in Parkinson’s Disease: Implications for Rehabilitation
Published in
Frontiers in Behavioral Neuroscience, June 2016
DOI 10.3389/fnbeh.2016.00121
Pubmed ID
Authors

Davide Ferrazzoli, Adrian Carter, Fatma S. Ustun, Grazia Palamara, Paola Ortelli, Roberto Maestri, Murat Yücel, Giuseppe Frazzitta

Abstract

The principal feature of Parkinson's disease (PD) is the impaired ability to acquire and express habitual-automatic actions due to the loss of dopamine in the dorsolateral striatum, the region of the basal ganglia associated with the control of habitual behavior. Dopamine replacement therapy (DRT) compensates for the lack of dopamine, representing the standard treatment for different motor symptoms of PD (such as rigidity, bradykinesia and resting tremor). On the other hand, rehabilitation treatments, exploiting the use of cognitive strategies, feedbacks and external cues, permit to "learn to bypass" the defective basal ganglia (using the dorsolateral area of the prefrontal cortex) allowing the patients to perform correct movements under executive-volitional control. Therefore, DRT and rehabilitation seem to be two complementary and synergistic approaches. Learning and reward are central in rehabilitation: both of these mechanisms are the basis for the success of any rehabilitative treatment. Anyway, it is known that "learning resources" and reward could be negatively influenced from dopaminergic drugs. Furthermore, DRT causes different well-known complications: among these, dyskinesias, motor fluctuations, and dopamine dysregulation syndrome (DDS) are intimately linked with the alteration in the learning and reward mechanisms and could impact seriously on the rehabilitative outcomes. These considerations highlight the need for careful titration of DRT to produce the desired improvement in motor symptoms while minimizing the associated detrimental effects. This is important in order to maximize the motor re-learning based on repetition, reward and practice during rehabilitation. In this scenario, we review the knowledge concerning the interactions between DRT, learning and reward, examine the most impactful DRT side effects and provide suggestions for optimizing rehabilitation in PD.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 14%
Student > Ph. D. Student 18 13%
Student > Master 16 12%
Researcher 12 9%
Other 10 7%
Other 27 20%
Unknown 33 24%
Readers by discipline Count As %
Neuroscience 22 16%
Medicine and Dentistry 14 10%
Psychology 13 10%
Biochemistry, Genetics and Molecular Biology 7 5%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Other 29 21%
Unknown 44 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2016.
All research outputs
#14,266,546
of 22,877,793 outputs
Outputs from Frontiers in Behavioral Neuroscience
#1,898
of 3,186 outputs
Outputs of similar age
#201,162
of 352,714 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#36
of 71 outputs
Altmetric has tracked 22,877,793 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,186 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,714 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.