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In 1974, AG Feldman published on the equilibrium-point idea in Biofizika (Feldman, A.G., 1974. Change of muscle length due to shift of the equilibrium point of the muscle-load system. Biofizika, 19, 534). E Bizzi of MIT made his career testing the equilibrium-point hypothesis in the 70’s, 80’s and 90’s. The hypothesis is based on the idea of activating pools of neurons to produce direction vectors that aim the eyes or the limbs toward one point of body space. Some evidence from this idea comes from the electrical stimulation experiments done in the frontal lobes and spinal cord of frogs, cats, and primates (Giszter, Mussa-Ivaldi, Bizzi 1991; Graziano et al. 2002ab; Tehovnik and Lee 1993; Ward 1938).
The reason the answer to the question is important is that we (Tehovnik, Hasanbegović, and Chen 2024) are writing a book that will discuss the equilibrium-point hypothesis within the context of automaticity, consciousness, and vertebrates.
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Thank you, Dr. Kelsi.
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Professor Miguel Nicolelis (2019) has published a free copy of his contributions to BMI (brain-machine interfaces) emphasizing his twenty years of work starting in 1999 and continuing through 2015.* Until 2003, Nicolelis had no competitors, but shortly thereafter Andersen et al. (2003), Schwartz et al. (2004) and Donoghue et al. (2006) joined the field, and tried to eclipse him and his associates [as described in Tehovnik, Waking up in Macaíba, 2017]; they, however, failed to achieve the eclipse, since the information transfer rate of their devices were typically below 1 bit per second at an average of about 0.2 bits/sec, much like what Nicolelis’ devices were transferring (Tehovnik and Chen 2015; Tehovnik et al. 2013). By comparison, the cochlear implant transfers 10 bits/sec (Tehovnik and Chen 2015) and therefore has been commercialized with over 700,000 registered implant recipients worldwide (NIH Statistics 2019).
BMI technology is still largely experimental. Willett, Shenoy et al. (2021) have developed a BMI for patients that transfers up to 5 bits/sec for spontaneously generated writing, but it is unclear whether this high rate is due to the residual movements (Tehovnik et al. 2013) of the hand contralateral to the BMI implant. To date, the most ambitious BMI utilizes a digital bridge between neocortex and the spinal cord below a partial transection to evoke a stepping response that still requires support of the body with crutches; but significantly the BMI portion of the implant in M1 enhances the information transfer rate by a mere 0.5 bits per second, since most of the walking (86% or 3.0 bits/sec of it) is induced by spinal cord stimulation in the absence of the cortical implant (Lorach et al. 2023). Accordingly, BMI falls short of the cochlear implant and thus BMI developers are years away from a marketable device. The pre-mature marketing by Nicolelis at the 2014 FEFA World Cup of his BMI technology (Tehovnik 2017b) should be a warning to Elon Musk (of Neuralink) that biology is not engineering, for if it were a BMI chip would now be in every brain on the planet. See figure that summarizes the information transfer rates for various devices including human language.
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The amount of information current-day BMI systems transfer varies depending on the type of BMI and the specific task being performed. Here's a breakdown:
Information transfer rate (bits/second):
  • EEG-based BMIs (non-invasive): These BMIs measure electrical activity from the scalp and generally have lower information transfer rates, ranging from 0.25 to 0.5 bits/second. This is enough for basic control tasks like cursor movement or simple word selection, but not for complex actions.
  • Invasive BMIs: These BMIs use electrodes implanted directly in the brain, providing access to more detailed neural signals. Information transfer rates can be higher, reaching up to 40 bits/second for simple tasks like motor control. However, this is still significantly slower than natural human communication rates, which can reach 40-100 bits/second for speech and even higher for complex forms of communication like writing.
Factors affecting information transfer rate:
  • Type of brain activity: Different brain areas and signals carry different amounts of information. Motor cortex activity used for cursor control is easier to decode than complex cognitive processes like thoughts or emotions.
  • Electrode technology: The number and placement of electrodes influence how much neural activity is captured. More electrodes and better placement can lead to higher information transfer rates.
  • Signal processing algorithms: Algorithms used to interpret and decode brain signals play a crucial role in extracting information. Advancements in machine learning and artificial intelligence are improving decoding accuracy and information transfer rates.
Current limitations:
  • Low information transfer rates: Compared to natural communication, current BMIs are still relatively slow and limited in the complexity of information they can transfer.
  • Accuracy and reliability: Decoding brain signals can be challenging, leading to errors and inconsistencies in control.
  • Ethical considerations: Invasive BMIs raise ethical concerns about privacy, security, and potential misuse of brain data.
Despite these challenges, BMI research is rapidly advancing, and information transfer rates are expected to improve significantly in the future. This could revolutionize various fields, including healthcare, rehabilitation, and human-computer interaction.
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Hello
Have a good life Ensha,Allah
I am going to educate the measurement the motor behavior and performance in the various level for MA course of motor control and learning.
What are the best references (book and article) you knowing and suggest about "measurement and assessment motor performance" for motor behavior students?
Some suggested references are mentioned in attached image. Please consider it.
Thank you
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My lab created new ways to analyze the fluctuations in biorhythmic activities generated by motions across all levels of functionality in our nervous systems. These new methods and data types derived from any biorhythm can be used with wearable biosensors and video-based pose estimation as they scale out allometric effects created by anatomical disparities and account for the non-stationary, non-linear nature of the data, which does not distribute normally either. Examples in sports applications are here where I define fundamentally different classes of movements and propose a taxonomy to study different functional types of motions with an ontogenetically orderly maturation schedule that we later assess across the human lifespan. does the analyses according to levels of intent.
this one applies it to autism;
to Parkinson's using cell phones
applied to schizophrenia
this one is for natural tasks using cell phones
and many others applied to learning and neurodevelopment, list from the lab's pubs contributed by many fellows over the span of 15 years https://sensorymotorintegrationlab.com/publications/
I hope that this helps. Code and sample analytics available in open access repositories and in book companion https://www.amazon.com/Objective-Biometric-Diagnosis-Treatment-Disorders-ebook/dp/B07F7XW5FP
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Hello
Have a good life Ensha,Allah
I am going to educate the measurement the motor behavior and performance in the various level for MA course of motor control and learning.
What are the best references (book and article) you knowing and suggest about "measurement and assessment motor performance" for motor behavior students?
Some suggested references are mentioned in attached image. Please consider it.
Thank you
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"Motor Control and Learning: A Behavioral Emphasis" by Schmidt and Lee is a great text book and I still grab it off the shelf now and then.
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I am happy to share my new paper related to EV applications, which is currently an emerging area of research. I request everyone to please share my paper with your knows or groups.
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A hybrid energy source-based BLDC (Brushless DC) motor drive can be an efficient solution for electric vehicle applications. In this type of system, multiple energy sources are used to power the BLDC motor, which provides better efficiency and performance.
The most common hybrid energy source-based BLDC motor drives use a combination of a battery and an ultracapacitor as energy sources. The battery provides a stable and continuous power supply to the motor, while the ultracapacitor provides short bursts of high-power energy. This combination allows the motor to achieve better acceleration, regenerative braking, and overall efficiency.
The control system of the hybrid energy source-based BLDC motor drive is crucial to achieving optimal performance. The system must be able to monitor and manage the energy flow between the battery and ultracapacitor, as well as control the speed and torque of the motor.
Overall, a hybrid energy source-based BLDC motor drive is an efficient and reliable solution for electric vehicle applications, providing improved performance and reduced energy consumption.
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In single phase induction motor auxiliary winding in series with switch results are not show in Maxwell RM Xprt.
can someone please suggest me what could be possible wrong parameters I have entered. Due to this, software is showing the starting charactristics of motor like starting torque, efficiency and output power.
some pictures of results are attached for your review.
if anyone can help me, I can share the simulation file.
Thanks your review and answers.
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@ Ghulam Jawad Sirewal Sir, I have tried but actual motor torque is 3NM, 0.37KW but simulation shows 0.78, that is not true..how can i can get desired results.
Motor Current: 4.2A running,
Torque: 3 MN approx.
but simulation results are different. can I get your email address to discuss further or contact No. Thanks
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Is it possible to know if a gesture is controled volontarly or automaticaly, or partialy automaticaly? Is there a difference for this assesment between a single gesture and a cyclic activity like walking?
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For motor behavioural test you can follow this
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Is it possible to run motor at 700rpm and rated torque being applied to shaft, if speed is controlled using variable frequency variable voltage drive?
Induction motor is of 4kw.
Rated voltage is 400V, and rated speed is 1430rpm.
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700 rpm means almost 50% nominal speed for 4 poles motor 50 Hz rated frequency, this is sure normal operation and does not require any additional functions and precautions.
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I plan to have at least 10 ERT2-Cre activated and 10 control mice. I wonder with how big groups to start the injections, since I will inject repeatedly for 5 or 7 days. Some mice will likely drop out due to irritation by injection, some will drop out for other reasons. Some additional ones might drop out during behavioral analysis (mainly motor behavior and different cognition analyses, no additional invasive proceedures).
Thanks in advance for your input!
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Hi Nadine,
From what I saw in our lab, this can actually vary from line to line - the effectiveness of the recombination is simply better is in some transgenic lines compared to others. On the other hand, we very rarely see any dropouts during the injection period - of course every now and then a mouse dies but if your injection technique is good exclusion due to injection is extremely rare.
The injection conditions are important though - tamoxifen or hydroxi-tamoxifen, how to dissolve, which dose, how often - so if someone already worked with your Cre-line, try to talk to them, find out what worked best for them. Or in case of doubt. run a couple of pilots.
To address your main question I would definitely analyse the recombination in every mouse after the behavioural tests. If you are testing cognitive abilities, you probably have a promoter that drives Cre expression in the brain. So isolate the brain and run an in situ on your target gene or a Cre immuno. You will then get an idea if you will have to exclude any mice from your behavioural analysis.
Ideally, you would have to test recombination in every batch of tested mice but this is not always feasible especially if you are targeting a small population of cells with a low expressing gene. If this is the case you especially need a robust and reproducible injection protocol that reliably gives you efficient recombination. Otherwise you will have a hard time deciding if a lack of phenotype in a mouse is due to individual variation or unsuccessful recombination.
I hope it helped,
Krisztina
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Hi
I'm PhD student in Iran in motor development, motor behavior. I am interested in working with you and my thesis is on Autism children too. Could you please tell me more about the conditions to do the project?
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Hi Homa.
My PhD thesis with motor learning is with synchronized swimming athletes without disabilities or with synchronized swimming judges. Unfortunately I do not study disabilities, in the case of autism. But if I can help otherwise? 
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I know this might seem difficult in the sense of how to predict when the subject will start imagination, but: How can I trigger TMS stimulus with the beginning of the process of imagining a movement in order to secure effects on MEP outcome parameters changes? I heard that we can train the subject to imagine the movement when he will hear some kind of sound! When should I apply TMS pulse, at the beginning or during sustained state of the imagined movement?
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I mean I would test motor imagery of a movement involving a different (possibly antagonistic) set of muscles (finger opening?) to show thaty indeed your subjects have corticospinal facilitation that is specific to the imagined movement, thus implicitly validating the fact that they are actually fulfilling the task of imagining rather than thinking about their holidays. An easier but slightly less powerful way to do this is to record more muscles, some of which are not involved in the task.
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Age-related loss of complexity in physiological, neural, cognitive and motor systems is a widely accepted hypothesis in the aging literature (see Lipsitz & Goldberger, 1992 for an introduction).
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Human beings (all mammals) can be seen as complex systems composed of interconnected sub-systems and sub-parts at several levels (DNA, ...proteins, ... cells, ...organs, ... neural-, immune-, ...systems, ...). As the complex system is continuously subject to stressors – this is inherent to life - it ages. Not only the parts and sub-systems, but also the efficiency of the interconnections do age. Parts/ sub-systems and interconnections age at different paces in function of the stressors they have to adapt to and of their (innate or acquired) skills to do so. Moreover, the internal stresses which result from the stressors vary from individual to individual. So the efficiency of the adaptation processes depends on the intensity and steadiness of the stressors, of the resulting stresses and of the quality of the innate and acquired body "internal organization". There is also a kinetic aspect as the adaptations must be done in due time. With time going, the adaptation abilities may decrease in appropriateness and reaction speed. At the end, local or global exhaustion is reached. 
Global aging at one same pace is the best case: the case of the mankind seniors of 110 - 120 years we all have heard of (the maximum estimated lifespan would rather be of 136 - 140 years).
However, more commonly, one or a few parts/ sub-systems (and their interconnections) would sooner fail to adapt to their specific stressors and a macroscopic (irreversible) disease would develop up to the end of life (long) before the maximum lifespan would have been reached.
Referring to the article of Lipsitz & Goldberger (1992), there might be connexions with chaos theory but probably less with fractals.
I've written two articles on the subject of the aging of biological complex systems :
  • "A mechanical system interpretation of the nonlinear kinetics observed in biological ageing" (2000)
  • "A system approach modelling of the three-stage nonlinear kinetics in biological ageing" (2001)
Also, a chapter of my book "Quantitative general adaptation" is devoted to it (chapter 6). And there are some thoughts on the possible links with chaos theory in chapter 8.3. 
Kind regards     
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I am preparing grip strength test for the first time. According to previous papers, people give three or five trials for each mouse and then these results are averaged to one. Seemingly these results are acquired in one single day. But there is suggestion that experimenter needs to repeat all of these tests in next two to three days, maybe to assure accuracy I guess. So could anybody give any advice? Is it really necessary to test for several days? Under what conditions should we do that?
Thank you very much.
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The primary reason to take multiple measurements is to limit the likelihood of regression to the mean. This phenomenon occurs when a person has an unusual high (low) value and then on the next measurement the value is much closer to the overall mean. This is a result of within-individual variation, but it happens within groups as well. So by taking several measurements (and in this case average them together), you are reducing that variability and thus limiting the probability that the change from pre to post-intervention is a function of regression to the mean rather than a treatment effect.
I am not sure how short of time frame you'll need to go with for multiple baseline measurements. One can argue that taking too many hand-grip measurements too close together would cause fatigue which would result in continuously reduced strength. On the other hand, taking the measurements over two or three days may introduce other reasons why the measurements would not be consistent. So I would probably go with 3 measurements over the course of a single day, with sufficient rest between measurements to ensure complete recovery.
I am attaching a paper on regression the the mean. I think it may be important for you to read.
Ariel
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For a motor behavioral study I need to stick some plastic pearls on the back of my pleurodeles but I observed that the glue used (RotiColl) was dissolving the skin of my animals. It seems to be darker, modifies the texture of the skin and then leads to an injury. We used this glue for few years and it's the first time we have this kind of problems. If you observed this in your studies tell me what you did to get through that. Maybe we should try another glue so if you have any suggestions about which glue you are using I'm listening! Thanks for your answers
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I totally agree but my collegues used this glue for few years without any problem. Maybe the Roti Coll's composition has changed and that's why I observe this phenomenon.
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In the last years I have studied how CNS and Spinal Cord interact for generating a reaching movement.
I'm writing on the current opinions about how CNS controls reaching movements. Because there are a lot of different positions about this topic i want to be sure that no one is omitted in my thesis.
So, in your opinion, which are the parameters encoded by the motor cortex in a motor command? Or, in other words, how CNS controls reaching movements?
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I study generalized motor programs in the walking pattern of people with Down Syndrome by motion analysis. I don’t have a treadmill in the laboratory. How can I change the speed of the walking pattern in this group of people?
I have studied several articles in which speed was changed this way:
Walking like walking in the park as slow walking and walking like the person is late as fast walking have been considered.
But I think this method is not suitable for mentally handicapped people. Does anyone know of a different method?
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Maybe by music?! As I know when one listens to music the heart automatically adjust itself with the bits,  and when the bits are faster automatically the body should be ready for faster movements. You can change the speed of the music with some apps and software. Look at some of the studies on sport and physical exercises for the people with Down Syndrome. There are lots of videos show the experiments done.hope that helps.
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What equipments do you suggest for the motor behavior or human performance LAB? (for psychological, motor control and learning and biomechanical factors).
Is there any other equipment(s) more valid than the Vienna test systems?
Would you separate your suggestion with each group?
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A movement analysis system (e.g., Vicon system) is a basis for gross motor skills (locomotion, throwing...). To associate movement analysis with recording of muscular and brain activity, add an EMG wireless system and an EEG system.
 A force platform and a GaitRite system may be useful for studying postural control and gait parameters.
Different others systems can be used depending on the type of task you want to study (aiming, grip....). Currently, these systems are customized by the engineers of the lab.
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I am planning to study the force of a motor response in children with disabilities.
I need to video tape the movements and upload the videos in a system that allows me to obtain the angular velocities. The difference in angular velocities will give me the force of the movement.
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The best system I know to analyze movements is OpenSim, an open project of the Stanford University
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Many of these people do not understand the assignment because of mental retardation. Homework should be simple enough to be understood and properly weigh the factors considered. Is there a site or group that may propose certain principles for designing appropriate tasks? I simplify cognition software but I have a little problem in the design of motor tasks for example to assess the impact of feedback or ...
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thanks a lot dear beatrice marianne.
these are very useful. i will study.
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In modeling biologic rhythmic actions as limit-cycles, it has been reported that a negative Duffing term (i.e. -x^3) represents decreasing of variability near reversal points (or softening spring). The question is what type of "variability" we mean here? Spatial? Temporal? Any other type?
How could it be proved or visualized based on Duffing equations or any other method that variability decreases near reversal points?
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Space-time, actually. You could, for example, see the influence of a x^3 term by creating a Hooke plot. That plot is position~aceleration. A completely straight lined plot means the oscillator (limit-cycle) reduces to a harmonic oscillator; one only with a linear stiffness term. On the other hand, a x^3 term means the angular frequency , or velocity if that's easier to imagine, in the cycle is not constant.
Now, the problem faced by your question is it's slightly under defined. Are you basing your question on an analytic model such as x"+b*x'+c*x+d*x^3=0 ? (Note this has no nonlinear damping. So it won't give you a limit cycle, per se, but a damped out cycle.). If you are, the variability means nothing because it's a noise free system. However, try simulating this an adding a Gaussian noise term ( I think), and then making the hooke plot. If there is less variability around the endpoint, this is I believe , as you might guess, due to a softening spring. This implies a slowing down as an endpoint is reached. This also predicts an increased deceleration in a Hooke plgot, which is where the 3rd order term comes from. See the Hooke plot I attached (it's my data): It is several cycles of a handheld pendulum being swung, with the average superimposed. Arrows are added to where the variability would be expected to start decreasing.
If you're familiar with Fitts' law, look up Mottet and Bootsma (1999) "Dynamics of goal-directed rhythmical aiming", I believe. They fit this type of model to movement data and give a good description.
P.s., I wrote this quickly, but if you have more questions (model fitting, etc...) let me know.
Good Luck:
Justin F.
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Please support with evidence if possible.
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If the fracture is consolidated one may assume that the DHS completed its role. So you should not bother about loosening of the screw. Loose or not it does not matter any more. Here one should have concerns about an eventual development of a vascular osteonecrosis of the head. In such cases the screw may seem to be loose but the trouble is with the destruction of femoral head. Anyway, you are right that osteoporosis is a factor that makes the osteosynthesis less stable. However, the grade of the fracture , timing of surgery, quality of surgical technique are important factors which influence the stability of osteosynthesis.
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With co-morbidities, alcohol dependence and depression.
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Hi Roses,
Try this paper:
Bischoff‐Ferrari, H. A., Lingard, E. A., Losina, E., Baron, J. A., Roos, E. M., Phillips, C. B., ... & Katz, J. N. (2004). Psychosocial and geriatric correlates of functional status after total hip replacement. Arthritis Care & Research, 51(5), 829-835.
This studyindicates that other measures of function are more important than the purely psychological factors, suggesting that if we manage pain, and complex medical interactions associated with age, the psychology does not tend to be the main limiting factor in recovery.
Here is a quote from the abstract:
"Results
Ten percent of subjects had poor functional status. In a logistic regression model controlling for sex and age, the following factors were associated with an increased risk for poor functional status (in order of importance): pain in the back or lower extremity, severe pain in the operated hip, poor mental health, more than 1 common geriatric problem, obesity, and less than college education.
Conclusion
Pain in the operated hip was strongly associated with poor functional status 3 years after THR. However, other factors associated with poor functional status were not related to the hip. Our results suggest that a comprehensive assessment of functional status in elderly THR patients should include assessment of common geriatric problems, mental health status, and weight."
Regards,
Jeremy
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In a nutshell, here is my general question (I have a few more specific ones later): What is the best test of motor performance (other than the forepaw adjusting steps test) for motor impairment in the rat 6-OHDA model of Parkinson's disease (PD)? First, some background/explanation:
The rat unilateral 6-OHDA model of PD is the best rodent model for L-DOPA-induced dyskinesia since you achieve severe (~99%) striatal dopamine depletion, recapitulating a late-stage PD model. However, the model is problematic for behavioral testing in some ways because the rats have a unilateral motor impairment, but most tests of motor performance allow the rats to use their whole body to accomplish the task.
To get around this, the forepaw adjusting steps test was developed, in which an experiment holds one rat forelimb and requires the rat to rapidly initiate and terminate movement with the other forelimb (Chang et al 1999 does a great job of characterizing the test). The test is wonderful, but I think it is a good idea to have a second test of motor performance (you know, that idea of convergent evidence).
Other standard tests of motor function such as motion chambers, rotarod, beam balance, etc. do not isolate bodily hemispheres so I don't think they are great. Your thoughts on using these tests with this PD model?
One more specific question: What do you think about the vibrissae-elicited forelimb placement test? (see video by Dr. Shallert's lab here: http://homepage.psy.utexas.edu/HomePage/Group/SchallertLAB/6-OHDA%20placing.mpg). I've piloted the test out and it seems to work well, but I am worried that is it essentially the same as the forepaw adjusting steps test (a test of forelimb akinesia that uses somatosensory stimuli to elicit movement). Would you consider this "too close" to the forepaw adjusting steps test to be a useful second test of motor performance?
Edit: I should have noted that I am looking for a test that can be used with and without L-DOPA and/or other drugs on board.
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Dear David,
Ludivine's comment is totally correct. As well her suggestion to use the cylinder test (!). I just wanted to add that you can get reliable quantification of rotations if you have a good tracking system (in particular if it allows a three-point detection of the body). In this case you just need to put the animals in an open field. I have no experience with rats, but unilaterally lesioned mice spontaneously rotate also in a normal (square) open field after amphetamine (or apomorphine) injection. For instance, Ethovisijavascript:on from Noldus can count rotations (clockwise and counterclockwise), as well as the relative and absolute values of parameters such as meander, turning angle and turning velocity (relative and absolute values ). There are also other cheaper systems out there (e.g., Any-maze). The only problem is that you have to invest some time in "calibrating" the detection settings (for instance, defining the criterion for a rotation) and test whether the automated analysis matches your manual evaluation.
Cheers,
Fabio
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I have a PEBL expeirment but Fitts' task in this program is a little different.
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The researcher
Jacob O. Wobbrock
has a very interesting and useful tool: Fittsstudy
you could use this software tool; this tool folllow the standard ISO 9241-9...
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We are observing a very steady low frequency oscillations in the semg during isometric contraction. Anyone can recommend some reading associated with this?
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Thanks- but the frequency of this oscillation is not due to noise and instruments- the frequency is in the range of 10 Hz. And, this seems to be present even if I use different equipment.
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We are going to calculate EMG Relative and overall timing of the throwing task.
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The answer to this question cannot be of the type all/null because it must be specified: level of tolerances; type of exercises; number of muscles investigated; how you will evaluate the ONSET and/or OFFSET time of the muscle activation (is it evaluated directly from EMG activity or not?). I think that in the literature you can find several experiments on relative timing of muscle exercises.
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If you have ever observed an ant moving about it is a remarkable thing to see. Their exoskeletons move at the speed of light. They can push objects around many times their size. And never tempt them with a morsel of food for they will recruit all their family and friends to join the feast as they jointly devour everything on the plate. This is all done with a nervous system that contains vastly fewer cells than exists for the human brain (i.e. 250,000 neurons vs. 80 billion neurons).
So what about having an ant control an external robotic device?
First, there is a common notion in the field of brain-machine interfaces (BMIs) that 'the sum of one part of the brain equals the whole', namely by extracting signals from a dozen or so cells from one region of the brain one will be able to recreate all the signals to move a whole body with effectiveness (e.g. Pais-Vieira et al. 2013). This would be considered an absurd proposition for any scientist who has ever studied a whole brain system for the generation of movement (e.g. Schiller and Tehovnik 2001).
Second, it is known that after some 50 neurons the signals extracted from the brain begin to saturate for the control of external devices (Tehovnik et al. 2013; Tehovnik and Teixeira e Silva 2014). This bottleneck is partially related to the fact that recordings are made from one part of the brain without any consideration of how these signals interact with other parts of the brain to produce movement.
Third, since movement is generated by an entire system of neurons (Schiller and Tehovnik 2001), it might be more productive to use a 'systems neuroscience' approach for the development of BMI. The study of the ant brain with its fewer neurons than that of the human brain but with its highly advanced locomotor repertoire might be one way to approach this problem.
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I'm a Motor Behavior's Ph.D. student. My interest is how performance in fundamental skills changes with age (children, adolescents and adults). l am having troubles finding articles in this area. I need some recommendations of authors or studies in this area.
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I think you can also check the work done by Dale Ulrich who created a test called TGMD II to test the development of gross motor skills and for which you will find quite a lot of litterature about a large age range.
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although one reason may be TVR and reciprocal inhibition bt that would affect antagonist not agonist.
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Dear Pooja I'll sent you some articles in wich there are some answers
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I am designing a sequential motor learning program for improving diabetes gait, but I don't know which parameter has priority over others to show trend of improvement in the process of gait training?
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Gait, balance or perturbation assessments may provide changes associated with altered function - if that is what you aim to alter with motor re-training. In regards to breath analysis I have reservations. Have there been previous studies in Diabetes?? There would be a lot of co-morbidity in Diabetes (especially type 2) that may change over time and has within-day variation... Such as... Glucose metabolism, hypertension, vascular disease and IHD that may alter breath analysis.
So I would be cautious and consider between day - reliability tests.
Best of luck