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Quantitative Analysis of Bradykinesia and Rigidity in Parkinson’s Disease

Overview of attention for article published in Frontiers in Neurology, March 2018
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Title
Quantitative Analysis of Bradykinesia and Rigidity in Parkinson’s Disease
Published in
Frontiers in Neurology, March 2018
DOI 10.3389/fneur.2018.00121
Pubmed ID
Authors

Lazzaro di Biase, Susanna Summa, Jacopo Tosi, Fabrizio Taffoni, Massimo Marano, Angelo Cascio Rizzo, Fabrizio Vecchio, Domenico Formica, Vincenzo Di Lazzaro, Giovanni Di Pino, Mario Tombini

Abstract

In the last decades, several studies showed that wearable sensors, used for assessing Parkinson's disease (PD) motor symptoms and recording their fluctuations, could provide a quantitative and reliable tool for patient's motor performance monitoring. The aim of this study is to make a step forward the capability of quantitatively describing PD motor symptoms. The specific aims are: identify the most sensible place where to locate sensors to monitor PD bradykinesia and rigidity, and identify objective indexes able to discriminate PD OFF/ON motor status, and PD patients from healthy subjects (HSs). Fourteen PD patients (H&Y stage 1-2.5), and 13 age-matched HSs, were enrolled. Five magneto-inertial wearable sensors, placed on index finger, thumb, metacarpus, wrist, and arm, were used as motion tracking systems. Sensors were placed on the most affected arm of PD patients, and on dominant hand of HS. Three UPDRS part III tasks were evaluated: rigidity (task 22), finger tapping (task 23), and prono-supination movements of the hands (task 25). A movement disorders expert rated the three tasks according to the UPDRS part III scoring system. In order to describe each task, different kinematic indexes from sensors were extracted and analyzed. Four kinematic indexes were extracted: fatigability; total time; total power; smoothness. The last three well-described PD OFF/ON motor status, during finger-tapping task, with an index finger sensor. During prono-supination task, wrist sensor was able to differentiate PD OFF/ON motor condition. Smoothness index, used as a rigidity descriptor, provided a good discrimination of the PD OFF/ON motor status. Total power index, showed the best accuracy for PD vs healthy discrimination, with any sensor location among index finger, thumb, metacarpus, and wrist. The present study shows that, in order to better describe the kinematic features of Parkinsonian movements, wearable sensors should be placed on a distal location on upper limb, on index finger or wrist. The proposed indexes demonstrated a good correlation with clinical scores, thus providing a quantitative tool for research purposes in future studies in this field.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 218 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 15%
Researcher 27 12%
Student > Master 27 12%
Student > Bachelor 22 10%
Student > Doctoral Student 10 5%
Other 31 14%
Unknown 69 32%
Readers by discipline Count As %
Engineering 46 21%
Neuroscience 29 13%
Medicine and Dentistry 21 10%
Nursing and Health Professions 9 4%
Computer Science 7 3%
Other 24 11%
Unknown 82 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 March 2018.
All research outputs
#13,507,266
of 23,026,672 outputs
Outputs from Frontiers in Neurology
#5,222
of 11,916 outputs
Outputs of similar age
#170,844
of 331,979 outputs
Outputs of similar age from Frontiers in Neurology
#100
of 256 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,916 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 331,979 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 256 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.