Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Showing posts with label what is this for?. Show all posts
Showing posts with label what is this for?. Show all posts

Saturday, July 25, 2020

Precise quantification of the time course of voluntary activation capacity following Botulinum toxin injections in the biceps brachii muscles of chronic stroke survivors

I couldn't tell a damn thing from the result or conclusion descriptions. Were the subjects able to recover functionality? If you can't answer that question, what the fuck was the point of the research?

Precise quantification of the time course of voluntary activation capacity following Botulinum toxin injections in the biceps brachii muscles of chronic stroke survivors 



Abstract

Background

Spasticity is a key motor impairment that affects many hemispheric stroke survivors. Intramuscular botulinum toxin (BT) injections are used widely to clinically manage spasticity-related symptoms in stroke survivors by chemically denervating muscle fibers from their associated motor neurons. In this study, we sought to understand how BT affects muscle activation, motor unit composition and voluntary force generating capacity over a time period of 3 months. Our purpose was to characterize the time course of functional changes in voluntary muscle activity in stroke survivors who are undergoing BT therapy as part of their physician-prescribed clinical plan.

Method

Our assessment of the effects of BT was based on the quantification of surface electromyogram (sEMG) recordings in the biceps brachii (BB), an upper arm muscle and of voluntary contraction force. We report here on voluntary force and sEMG responses during isometric elbow contractions across consecutive recording sessions, spread over 12 weeks in three segments, starting with a preliminary session performed just prior to the BT injection. At predetermined time points, we conducted additional clinical assessments and we also recorded from the contralateral limbs of our stroke cohort. Eight subjects were studied for approximately 86 experimental recording sessions on both stroke-affected and contralateral sides.

Results

We recorded an initial reduction in force and sEMG in all subjects, followed by a trajectory with a progressive return to baseline over a maximum of 12 weeks, although the minimum sEMG and minimum force were not always recorded at the same time point. Three participants were able to complete only one to two segments. Slope values of the sEMG-force relations were also found to vary across the different time segments. While sEMG-force slopes provide assessments of force generation capacity of the BT injected muscle, amplitude histograms from novel sEMG recordings during the voluntary tasks provide additional insights about differential actions of BT on the overall motor unit (MU) population over time.

Conclusions

The results of our study indicate that there are potential short term as well as long term decrements in muscle control and activation properties after BT administration on the affected side of chronic stroke survivors. Muscle activation levels as recorded using sEMG, did not routinely return to baseline even at three months’ post injection. The concurrent clinical measures also did not follow the same time course, nor did they provide the same resolution as our experimental measures. It follows that even 12 weeks after intramuscular BT injections muscle recovery may not be complete, and may thereby contribute to pre-existing paresis.

Background

Spasticity is a characteristic feature of upper motor neuron lesions, often induced by a hemispheric stroke. The physical signs include hypertonia (a perceived increase in resistance to externally imposed joint motion) as well as hyper-reflexia, an increase in response to muscle stretch or tendon tap. A potential contributor to hyper-reflexia in post-stroke spasticity is hyper-excitability of the associated spinal motor neurons [1]. Spasticity is believed to affect up to 40% of the chronic stroke population [2]. Over the past decade, intramuscular BT is increasingly used in clinical settings to temporarily reduce spasticity in a number of human neurologic disorders [2,3,4], including chronic stroke. Botulinum toxin is a metalloproteinase that induces cholinergic blockade at the presynaptic level of the neuromuscular junction. This chemo-denervation reduces hypertonia as well as hyper-reflexia by reducing global motor outflow [5]. The cholinergic blockade fades away with time [6], thus stroke survivors for whom BT is prescribed as part of their clinical spasticity management plan often receive BT every 3–4 months [7]. Long term neuromuscular changes in muscles injected with BT have been reported in animal studies, although, a systematic quantitative evaluation of short and long-term neuromuscular consequences of BT on injected muscles in humans has not been performed [8]. An initial reduction of voluntary muscle capacity is to be expected, however, quantification of the initial reduction, as well as quantification of the subsequent return to baseline values could provide insight regarding neuromuscular recovery (the time course, voluntary capacity level and neural control of muscle) subsequent to chemical denervation. This information could be used to assist in driving decisions about timing and dosage of repeated doses of BT as well as the need for other rehabilitative therapies due to the potential of further weakening paretic muscle. While BT is used to reduce spasticity, BT broadly targets motor outflow so more extensive impairment of motor function is possible.
Evaluations of BT mediated alterations in spasticity levels have largely been based on clinical assessments [9] which are at best semi-quantitative in nature, lack the necessary precision to track outcomes, and may not accurately describe the time course of BT effect on voluntary muscle activation, i.e., functional capacity. As a result, such clinical analyses do not fully address BT effects on voluntary muscle activity in the upper arm of injected stroke survivors. Several studies in humans have used joint torque as an alternative to assess both the short term and long term changes in functional capacity and neural control in various muscles after BT. Hameau et al. and Berunz et al. observed and successfully quantified the effect of BT effect on voluntary strength in lower limb in a cross-sectional study at four weeks post-injection [10, 11]. Additional electrophysiological studies were performed by Lee et al., who observed reduced values of the jaw muscle sEMG in healthy individuals at three weeks following intramuscular BT injections [12]. Hamjian and Walker reported only partial recovery of foot extensor muscle sEMG activity in healthy controls at successive intervals over the course of 3 months after the intramuscular BT in ten healthy controls based on ultrasound recordings as well as compound muscle action potential (CMAP) values [13]. A few studies have utilized electrophysiological techniques to assess changes in muscle function following BT injections in stroke survivors as well [14]. Albani et al. observed a reduction of sEMG values after BT injection in wrist flexor muscles of the stroke population at one and at 6 months post-injection [15]. Similar findings of reduced sEMG and force in biceps brachii muscle at one-month post-BT in stroke population were reported by Vinti et al. [16]. Hesse et al. found a reduction of sEMG in the soleus and tibialis anterior muscle after one month of injection amongst the majority of tested hemiparetic subjects [17]. Taken overall, these studies suggest that there are potential short-term as well as long term deficits during voluntary muscle activity following BT injections in stroke muscle. However, these studies were cross-sectional in nature and only one study provided data from both sEMG and force recordings of participants.
Accordingly, our global objective here is to use quantitative measures to accurately characterize the time course of changes in voluntary activation capacity of the biceps brachii on both sides of hemispheric stroke survivors who have received intramuscular BT on their affected side, as a part of their routine clinical care plan for spasticity. This assessment was accomplished in the usual time period between successive BT injections, 3–4 months, using force and sEMG recordings taken during varying voluntary isometric contractions. Based on the aforementioned studies, long term deficits in voluntary capacity could further weaken stroke survivors who routinely are diagnosed with paresis in addition to spasticity.
Furthermore, in related animal studies, several researchers reported BT chemo-denervation induced fiber atrophy and also a reduction in total alpha motor neuron numbers, in rats at two weeks post-injection [18, 19]. Subsequent to chemical denervation, Pamphlett reported early axonal sprouting within 2 days after the BT injection in mouse resulting from neuromuscular transmission failure [20] and this has been reported to have continued until 8 weeks by others [21]. In addition to affecting muscle contractile properties, BT injections also degrade muscle architecture, including sarcolemma structure, muscle stiffness, and muscle fiber density on histological examination, within four weeks [22]. Minamoto et al. reported reductions of joint torque by 50% after 6 months in rat tibialis anterior muscle and found that these changes were correlated with the altered muscle activity [23]. In addition, they reported a persisting sEMG deficit while the contraction force recovered after 12 weeks. Thus, unique short term and long term changes in neuronal control and muscle activity in response to intramuscular BT injections are evident in animal studies; these are also speculated but not reported in human studies. Thus we sought to address both the short term and long term changes in neural control and potential re-innervation with relevant recording and analysis techniques.
Specifically, we assessed the initial (expected) decline and subsequent return of both joint torque and sEMG values, and we determined whether both variables varied concurrently. In order to assess possible central effects, i.e., changes in muscle control in addition to peripheral alterations, we computed the slope of the relationship between the generated surface EMG and force during voluntary muscle activation, which has been shown to be disrupted in paretic stroke survivors [24]. We also sought to assess whether there were changes at the motor unit (MU) level, utilizing novel sEMG electrodes. By doing so, we are able to characterize changes in muscle activation capacity as well as assess any changes in the neural control of muscle.
To summarize our results, we found that there were systematic alterations of force and sEMG induced by BT even at 12 weeks post-injection, and we recorded consistent maximal reductions of the force and the sEMG between 2 and 4 weeks, consistent with results from animal studies. A part of this work was presented at Society for Neuroscience annual meeting, 2017.

Methods

Subject inclusion criteria

We have recruited and tested 8 hemiplegic stroke survivors with spasticity who were to receive botulinum toxin as part of their clinical care plan. The initial timing, dosage, and location of the injection were determined by their managing physician. All participants had sustained a single hemispheric stroke at least six months prior to experimental testing. Spasticity was assessed by a physical therapist using the Modified Ashworth Score (MAS) Subjects had to exhibit a score ≥ 1 to be included in the study. The subjects were included only if they were able to perform the required experimental tasks, attain the testing position of the hand, sit continuously during the experiments, and follow the instructions with intact auditory and visual perceptions. All participants gave informed consent via protocols approved by the Institutional Review Board under the Office for the Protection of Human Subjects at Northwestern University.

Experimental setup

Participants were seated in a Biodex, Inc. chair with the forearm cast from elbow to the wrist and fixated to a ring-mount interface. The wrist mount was attached to a six-degrees-of-freedom force-torque sensor (ATI, Inc.: Delta ATI4007, Max force 660 N). After skin preparation, including a light skin abrasion and cleaning with alcohol pads, bipolar sEMG electrodes were placed on the medial and lateral heads of biceps brachii, triceps brachii and brachioradialis muscle (for online monitoring purposes). A pair of Delsys Inc., sensor array electrodes were mounted and aligned with the bipolar electrodes at a proximal location on the belly of the biceps muscle on both heads. The locations of electrodes were determined after muscle palpation on the belly of the muscle of interest, based on the recommendation of SENIAM [25]. The location of the electrodes and the load cell attachment was referenced to anatomical landmarks such as the bony prominence of the subject’s arm (lateral and medial epicondyles and acromion). SEMG recordings were performed during voluntary isometric, non-fatiguing elbow flexion force generation.
A depiction of the experimental setup is shown in Fig. 1a. The EMG sensor locations were similarly maintained throughout all the sessions for all the subjects by measuring the electrode locations with respect to bony landmarks at the first pre-BT session and by documenting with photographs of the tested arm only. Signal acquisition was performed simultaneously through Spike 2® and the CED-1401®, and dEMG (Delsys Inc.) system decreasing force levels back to resting level. The force and the sEMG signal was sampled at a rate of 2 kHz.


Fig. 1
figure1
(a) Depiction of the experimental setup. (b) The time-course description of the designed experiment

Study protocol

Clinical assessments of spasticity, the Modified Ashworth Score (MAS), and motor impairment, the Fugl-Meyer assessment (FM) were performed by a research occupational therapist at each recording session on the upper extremity on both sides of our participants. After completing the experimental recording sessions on the affected side, patients were asked to return for testing on their contralateral limbs using the same protocol.
Our protocol was designed to test the participants in one session before their respective BT injections (Pre-S1) and then 6 times after the injection (Post-S1- Post-S6), approximately every two weeks on both the affected and contralateral limbs. We have separated the observations in three segments across the time, initial segment (Post-S1-Post-S2), mid segment (Post-S3-Post-S4), and the final segment (Post-S5-PostS6) as shown in Fig. 1b. At each session, requisite submaximal force task levels were determined by asking the participants to perform maximum voluntary contractions during the session.

Saturday, September 8, 2018

The exercise tolerance test in stroke patients and the evaluation of influencing factors

I'm sure this is useful for something, but you'll have to guess the purpose.

The exercise tolerance test in stroke patients and the evaluation of influencing factors

Turkish Journal of Physical Medicine and Rehabilitation , Volume 63(1) , Pgs. 50-58.

NARIC Accession Number: I244511.  What's this?
Publication Year: 2017.
Abstract: The objective of this study was to examine the factors that may affect the Exercise Tolerance Test (ETT), when performed on ischemic stroke patients. This study, which was conducted between December 2012 and August 2014, included 42 patients (27 men; 15 women; mean age 54.4±14.3 years) who were admitted to and hospitalized at a rehabilitation clinic two weeks to six months after stroke, and who had sitting balance or were ambulatory. Patients’ age, gender, dominant hand, hemiplegic side, disease duration, comorbidities, drugs, premorbid exercise habits, and tobacco use were recorded. Patients performed cycling ergospirometry to determine their exercise capacity. After the test, maximum oxygen uptake (VO2) reached, metabolic equivalent, time spent on the test (EET time), load at the time the test was finalized, Borg Scale that indicates the patient’s degree of strain, maximal heart rate reached, forced expiratory volume at first second (FEV1), forced vital capacity (FVC), and FEV1/FVC values were recorded. Of the patients, 43% had hypertension, 35% had coronary artery disease, 33% had diabetes, 29% used beta blockers, 30% were cigarette smokers, 40% had right hemiparesis, and 6% had regular exercise habits. The use of beta-blockers was the only ETT effective factor among all parameters. Atrial fibrillation was developed in one patient as a side effect. These results indicate that, when creating an exercise plan, the consideration of the patients’ beta blocker use is important for the calculation of target heart rate.
Descriptor Terms: Exercise, Stroke, Tests.
Language: Turkish
Geographic Location(s): Turkey, Middle East.

Can this document be ordered through NARIC's document delivery service*?: Request Information.
Get this Document: http://www.ftrdergisi.com/uploads/pdf/pdf_4002.pdf.

Citation: (2017). The exercise tolerance test in stroke patients and the evaluation of influencing factors.  İnmeli hastalarda egzersiz tolerans testi ve etki eden faktörlerin değerlendirilmesi.  Turkish Journal of Physical Medicine and Rehabilitation , 63(1), Pgs. 50-58. Retrieved 9/8/2018, from REHABDATA database.

Tuesday, April 25, 2017

Robust ILC design with application to stroke rehabilitation

Whatever the hell this is. You'll have to ask your doctor how this can be applied to getting you to 100% recovery. That is the only criteria to evaluate stroke research. You'll have to look at section 2 so you could work out the math yourself since it is way above my head.
http://www.sciencedirect.com/science/article/pii/S000510981730198X
Open Access funded by Engineering and Physical Sciences Research Council
Under a Creative Commons license
  Open Access

Abstract

Iterative learning control (ILC) is a design technique which can achieve accurate tracking by learning over repeated task attempts. However, long-term stability remains a critical limitation to widespread application, and to-date robustness analysis has overwhelmingly considered structured uncertainties. This paper substantially expands the scope of existing ILC robustness analysis by addressing unstructured uncertainties, a widely used ILC update class, the presence of a feedback controller, and a general task description that incorporates the most recent expansions in the ILC tracking objective. Gap metric based analysis is applied to ILC by reformulating the finite horizon trial-to-trial feedforward dynamics into an equivalent along-the-trial feedback system, as well as deriving relationships to link their respective gap metric values. The results are used to generate a comprehensive design framework for robust control design of the interacting feedback and ILC loops. This is illustrated via application to rehabilitation engineering, an area where they meet an urgent need for high performance in the presence of significant modeling uncertainty.

Keywords

  • Iterative learning control;
  • Robustness;
  • Electrical stimulation;
  • Rehabilitation engineering

1. Introduction

The iterative learning control (ILC) paradigm addresses tracking of a fixed reference trajectory over a finite time interval of T seconds. Each attempt is termed a ‘trial’, and the system is reset between trials to the same starting position. The tracking error is recorded during each trial, and in the reset period is used to update the control signal with the aim of reducing the error during the subsequent trial. ILC was originally developed to enable precision control of industrial robotics, but now covers a rich theoretical framework and broad range of applications, see e.g.  Ahn, Chen, and Moore (2007) and Bristow, Tharayil, and Alleyne (2006). While impressive tracking performance is achievable on nominal systems and satisfactory performance has been achieved in practical applications, robustness remains a serious issue. In practice it has been found that long term instabilities degrade the performance and convergence of the standard algorithms.
ILC long term stability is not well understood, and a variety of methods (e.g. quantization, filtering, suspension of learning) have been proposed to address the commonly encountered problem of convergence, followed by rapid divergence. These often lack theoretical basis and there remains debate on the cause of this phenomenon. Previous robustness results relate to multiplicative and additive uncertainty descriptions (De Roover and Bosgra, 2000; Donkers et al., 2008; Harte et al., 2005; Moon et al., 1998; Tayebi and Zeremba, 2003 ;  van de Wijdeven and Bosgra, 2007), or to parametric uncertainty (Ahn, Moore, & Chen, 2006). Unstructured uncertainties were addressed in French (2008) where it was shown that there exists a non-zero stability margin for a class of adaptive ILC algorithms. However, the analysis was not extended to more general ILC update classes. It is hence desirable for a general framework to quantify the effect of realistic model mismatch, thereby informing practical design. Furthermore, there is also a need to incorporate recent expansion in the ILC framework in which the tracking objective is generalized to permit tracking only at isolated time-points or over intervals in [0,T] (Janssens et al., 2013; Owens et al., 2015 ;  Son et al., 2013). This expanded class meets the needs of a wide range of industrial processes, such as robotic pick-and-place tasks, welding, and coordinated motion. However, the only robustness results for this expanded task framework relate to multiplicative uncertainty (Owens, Freeman, & Chu, 2014).
This paper substantially expands the scope of existing ILC robustness analysis by addressing for the first time: (1) unstructured uncertainties, (2) a general ILC update class, and (3) a full generalization of the task descriptions that have so far been considered in ILC. To maximize impact, we also consider inclusion of a feedback controller. Analysis is based on the nonlinear gap metric of Georgiou and Smith (1997), which is applied to ILC by reformulating the within-in trial feedforward action as trial to trial feedback action. The resulting gap on the trial to trial dynamics is then translated back to the original plant.
This paper is arranged as follows: a general problem description is defined in Section  2, and robust performance analysis is undertaken in Section  3 with proofs contained in the appendix. To illustrate the power of the framework, results are presented in Section  4 from an application to stroke rehabilitation. Section  5 contains conclusions and topics of future work.

Monday, July 7, 2014

Comparative Analysis Electroencephalographic of Alpha, Beta and Gamma Bands of a Healthy Individual and One with Hemiparesis

I can see absolutely no use of this for survivors and I doubt your doctor will either.  Someone could enlighten us all.
Comparative Analysis Electroencephalographic of Alpha, Beta and Gamma Bands of a Healthy Individual and One with Hemiparesis

1) Department of Physical Therapy, Federal University of Piauí: Av. São Sebastião, 2819-64202-020, Parnaíba, PI, Brazil 2) Brain Mapping and Functionality Laboratory (LAMCEF), Federal University of Piauí, Brazil 3) Master Program of the Rehabilitation Science, UNISUAM, Brazil 4) Brain Mapping and Sensory Motor Integration Laboratory, Federal University of Rio de Janeiro (IPUB/UFRJ), Brazil
Released on J-STAGE June 30, 2014  

[Purpose] The study analyzed the electroencephalographic (EEG) data of the central cortical areas, during execution of the motor gestures of feeding, activation of the system of mirror neurons, and imagery between a right hemiparetic volunteer (RHV) and a healthy volunteer (HV). [Subjects and Methods] The volunteers’ EEG data were recorded with their eyes open for 4 minutes while they performed five experimental tasks. [Results] The alpha band, absolute power value of HV was lower than that of RHV. In the beta band, during the practice condition, there was an increase in the magnitude of the absolute power value of HV at T3, possibly because T3 is representative of secondary motor areas that work with cortical neurons related to planning and organizing sequence of movements performed by the hands. The gamma band is related to the state of preparation for movement and memory. The results of this study indicate that there was increased activation of the gamma frequency band of HV. [Conclusion] The findings of this study have revealed the changes in pattern characteristics of each band which may be associated with the brain injury of the hemiparetic patient. 

Even the 4 page full text did nor provide any understanding at all.