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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gait Analysis for Early Detection of Motor Symptoms in the 6-OHDA Rat Model of Parkinson's Disease
|
|---|---|
| Published in |
Frontiers in Behavioral Neuroscience, March 2018
|
| DOI | 10.3389/fnbeh.2018.00039 |
| Pubmed ID | |
| Authors |
Jordi Boix, Daniela von Hieber, Bronwen Connor |
| Abstract |
Computer-supported gait analysis has proven to be effective for the comprehensive assessment of gait changes in rodent models of neurodegenerative and neurological disorders. However, full characterization of individual gait parameters is required for specific neurological or neurodegenerative disorders such as Parkinson's disease (PD). Gait disturbances in particular present as the most constraining set of symptoms in PD, finally depriving patients from most activities of normal daily living. In this study, we have characterized the gait pattern abnormalities observed in two rat models of PD: the medial forebrain bundle (MFB) 6-OHDA lesion model and the striatal 6-OHDA lesion model. Our data indicates significant changes in 21 different gait parameters in the MFB lesion cohort. We observed a steady decline in the overall walking speed and cadence, as well as significant alterations in the gait parameters stride length, initial dual stance, paw print position, step cycle, swing phase of the step cycle, stand index, phase dispersion, print length, and print area in at least one of the paws. These alterations correlated with the extent of tyrosine hydroxylase (TH) neuronal loss observed in this group. These alterations were detected as early as 1 week post lesion. In contrast, limited gait dysfunction was detected in the striatal lesion cohort related to the low level of TH neuronal loss detected in this group. In this study we have demonstrated that gait analysis is a reliable method for the detection of motor deficiencies in a MFB 6-OHDA lesion model of PD and may prove a clinically relevant, low impact method of testing functional impairment as early as 1 week post lesion. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 19% |
| Student > Ph. D. Student | 13 | 12% |
| Student > Master | 11 | 10% |
| Student > Bachelor | 10 | 9% |
| Student > Doctoral Student | 8 | 7% |
| Other | 12 | 11% |
| Unknown | 33 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 22 | 21% |
| Agricultural and Biological Sciences | 10 | 9% |
| Engineering | 8 | 7% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Medicine and Dentistry | 6 | 6% |
| Other | 15 | 14% |
| Unknown | 40 | 37% |
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 12 March 2018.
All research outputs
#15,157,864
of 23,313,051 outputs
Outputs from Frontiers in Behavioral Neuroscience
#2,084
of 3,243 outputs
Outputs of similar age
#202,002
of 332,692 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#52
of 69 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,243 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 30th percentile – i.e., 30% 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 332,692 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.