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 sensorimotor cortex. Show all posts
Showing posts with label sensorimotor cortex. Show all posts

Monday, October 11, 2021

Plasticity in the sensorimotor cortex induced by Music-supported therapy in stroke patients: a TMS study

I'm sure your doctor has done nothing to bring in any music rehab to help survivors. Incompetence for years! 

Plasticity in the sensorimotor cortex induced by Music-supported therapy in stroke patients: a TMS study

  • 1Cognition and Brain Plasticity Group, Bellvitge Biomedical Research Institute - IDIBELL, Barcelona, Spain
  • 2Neurology Section, Hospital Universitari de Bellvitge, Bellvitge Biomedical Research Institute - IDIBELL, Barcelona, Spain
  • 3Institute of Music Physiology and Musicians' Medicine, Hannover University of Music, Drama and Media, Hannover, Germany
  • 4Department of Neurology, University of Lübeck, Lübeck, Germany
  • 5Department of Basic Psychology, University of Barcelona, Barcelona, Spain
  • 6Catalan Institution for Research and Advanced Studies, ICREA, Barcelona, Spain

Playing a musical instrument demands the engagement of different neural systems. Recent studies about the musician's brain and musical training highlight that this activity requires the close interaction between motor and somatosensory systems. Moreover, neuroplastic changes have been reported in motor-related areas after short and long-term musical training. Because of its capacity to promote neuroplastic changes, music has been used in the context of stroke neurorehabilitation. The majority of patients suffering from a stroke have motor impairments, preventing them to live independently. Thus, there is an increasing demand for effective restorative interventions for neurological deficits. Music-supported Therapy (MST) has been recently developed to restore motor deficits. We report data of a selected sample of stroke patients who have been enrolled in a MST program (1 month intense music learning). Prior to and after the therapy, patients were evaluated with different behavioral motor tests. Transcranial Magnetic Stimulation (TMS) was applied to evaluate changes in the sensorimotor representations underlying the motor gains observed. Several parameters of excitability of the motor cortex were assessed as well as the cortical somatotopic representation of a muscle in the affected hand. Our results revealed that participants obtained significant motor improvements in the paretic hand and those changes were accompanied by changes in the excitability of the motor cortex. Thus, MST leads to neuroplastic changes in the motor cortex of stroke patients which may explain its efficacy.

Introduction

Stroke represents a major cause of death and the most important cause of acquired disability in adults of developed countries (World Health Organization, 2003). In stroke survivors, motor deficits are present in a majority of patients (Rathore et al., 2002), leading to limitations in the participation of activities of daily living and preventing patients to live independently. For this reason, restoration of motor deficits is the target of many different therapies (Langhorne et al., 2011).

Usually, the rehabilitation process of motor impairments comprises different stages. At the beginning, motor function is assessed through domain-specific measures in order to set goals with the patient. Subsequently, therapeutic interventions are provided and, finally, reassessment is performed to ensure that motor improvements have been achieved (Warlow et al., 2008). In practice, this process is not always evidence-based but many times guided by the practitioner's expertise. Thus, there is a necessity to investigate effective motor rehabilitation therapies to provide evidence for clinicians (Taub et al., 2002; Cramer et al., 2011; Langhorne et al., 2011).

Besides their clinical efficacy, rehabilitation techniques may be validated by evidence for neuroplasticity which is defined as the capacity of the central nervous system to reorganize its structure, function and connections in response to internal and external constraints and goals during learning, development or after injury (Kolb and Whishaw, 1998; Cramer et al., 2011). Neuroplasticity may be induced due to therapy as behavior can lead to a reorganization of representational maps (Nudo et al., 1996; Muellbacher et al., 2002) as well as intra- and interhemispheric changes and balance (Chollet et al., 1991; Murase et al., 2004; Grefkes et al., 2008).

One of the most studied rehabilitation techniques is the Constraint-Induced Therapy (CIT) (Taub et al., 1993), which comprises the forced use of the paretic extremity for many hours a day by restricting movement of the healthy extremity in combination with shaping techniques. Studies in subacute and chronic patients have shown improvements in motor function that are accompanied with cortical reorganization of motor regions evidenced by Transcranial Magnetic Stimulation (TMS) (Taub et al., 1993; Liepert et al., 1998). For example, Liepert et al. (2000) reported an expansion of the contralateral cortical area responsible for arm movements after the application of CIT. It has been suggested that the success of this therapy may rely on repetitive massed practice of movements performed with the affected extremity overcoming its learned non-use. Notice that learning processes feature prominently not only in neurorehabilitation (Krakauer, 2006) but also in the development of the motor deficits themselves. For example, patients with a motor deficit of the right hand will learn to perform movements predominantly with the (usually non-dominant) left hand. At the same time, this may lead to additional learned non-use of the right hand. It is important to develop new therapeutic strategies to overcome the learned non-use of the affected side, paying special attention on how to perform specific movements. A way to achieve this goal could be through techniques where there is a specific training for patients in activities that could represent the acquisition of new motor skills that could promote brain plasticity (Dayan and Cohen, 2011). During motor skill learning, massive practice of movements can reduce kinematic and dynamic execution errors (Krakauer et al., 1999; Doyon and Benali, 2005). On the other hand, motor skill training will be more effective if task variability is introduced in the training program. These variations could be related to sensorial cues involved in the training (multimodality) which leads to dynamic sensorimotor readjustments and, consequently, internal motor control models can be created and generalized to other situations (Conditt et al., 1997). In this regard, it has been demonstrated that neuroplasticity could be observed at cortical and subcortical levels due to motor skill learning (Karni et al., 1995; Nudo et al., 1996; Willingham, 1998; Draganski et al., 2004; Dayan and Cohen, 2011; Penhune and Steele, 2012).

One example of a skill involving movements of the hand is musical instrument playing. The presence of music during motor learning posits unique and complex demands for the central nervous system (Zatorre et al., 2007), as playing an instrument requires the integration of multimodal information (auditory, visual, and sensorimotor information) (Pantev and Herholz, 2011). During music performance there are feedback and feedforward interactions between the auditory and premotor areas of the cortex. As in other motor skills, motor, premotor, supplementary motor area (SMA), the cerebellum and the basal ganglia are involved in musical motor performance (Lotze et al., 2003; Meister et al., 2004). In addition, the sound of the instrument processed by the auditory cortex can be used to readjust movements leading to interactions between the auditory and motor systems (Zatorre et al., 2007). Compared to other sensorimotor activities, music learning involves the integrated activity of motor and auditory systems. Furthermore, because of the consequent and consistent auditory feedback (Zatorre, 2003), correction of errors in timing, strength and position of the movement is possible. Studies with functional Magnetic Resonance Imaging (fMRI) exploring professional musicians and non-musicians have demonstrated that musical training leads to structural and functional changes in motor regions of the brain, especially those involving auditory and sensorimotor cerebral networks (Gaser and Schlaug, 2003; Bengtsson et al., 2005; Bangert et al., 2006; Baumann et al., 2007; Hyde et al., 2009; Herholz and Zatorre, 2012; Steele et al., 2013). For instance, in healthy subjects, motor cortex was explored with TMS when participants were trained to play the piano showing an enlargement of the cortical representation of the hand after the training (Pascual-Leone et al., 1995). Therefore, learning to play the piano is an example of a music making activity that requires repetitive massed practice and entails variations in the training task (i.e., movement sequences), involving complex coordination. Moreover, playing the piano engages different regions of the brain and could be associated with structural and functional brain changes. Beyond the plasticity in motor regions associated to music making, studies investigating the effects of music listening as a rehabilitative intervention have revealed improvements in cognition and emotional factors (Särkämö et al., 2008; Särkämö and Soto, 2012). These findings add value to the interventions based on motor learning using music making because their possible impact in other cognitive and emotional domains aside from the expected motor improvements.

Recently, Schneider et al.(2007, 2010) have developed Music-supported therapy (MST) to restore motor function after stroke. In this therapy, patients are trained to play a MIDI piano and/or an electronic drum set that produces piano tones, involving fine and gross movements, respectively. MST has been tested in stroke patients showing improvements in the execution of movements revealed by an increase in the scores of behavioral motor tests after the application of MST (Schneider et al., 2007, 2010; Altenmüller et al., 2009). A recent study about a single chronic stroke patient showed that MST can lead to improvements in motor function after 2 years since stroke. Gains in motor function were accompanied by changes in motor cortex excitability (evaluated using motor mapping TMS) with an expansion of the cortical representation of the hand and by activation changes in fMRI (Rojo et al., 2011; Rodríguez-Fornells et al., 2012). In addition, Amengual et al. (2013) have reported evidence from a group of chronic patients that have been treated with MST. Patients improved their motor function as well as an increase of the excitability of the motor system was encountered. Moreover, gains in motor performance were correlated with changes in the cortical representation of a muscle of the paretic hand.

In the present study, MST was administered to stroke patients with hemiparesis of the upperlimb to restore their motor function. Thus, the aim of the present study is to investigate improvements in motor function in subacute stroke patients and whether this restoration is accompanied by neuroplastic changes in the sensorimotor cortex.

 
 

Monday, September 20, 2021

Activation changes in sensorimotor cortex during improvement due to CIMT in chronic stroke

I would have never consented to this. I would have been unable to eat,dress, go to the bathroom(1 or 2), open any door. It is really only available for high functioning individuals.

Activation changes in sensorimotor cortex during improvement due to CIMT in chronic stroke


 
Restorative Neurology and Neuroscience 29 (2011) 299–310DOI 10.3233/RNN-2011-0600IOS Press
 Michel Rijntjes
a
,
∗
, Farsin Hamzei
b
, Volkmar Glauche
a
, Dorothee Saur
c
and Cornelius Weiller
aa
 Department of Neurology, University of Freiburg, Freiburg, Germany
b
 Moritz-Clinic for Neurological Rehabilitation, Bad Klosterlausnitz, Germany
c
 Department of Neurology, University of Leipzig, Leipzig, Germany

Abstract

 Purpose: 
The integrity of the pyramidal tract (PT) does not seem to influence clinical improvement after two weeks of Constraint-Induced Movement Therapy (CIMT). However, when PT is intact, improvement is associated with a decrease of fMRI-activation in primary sensorimotor cortex (SMC) and when affected, with an increase of activation in SMC. The aim was to observe the long-term effect of CIMT, depending on the integrity of the PT, and to correlate improvement with changes in fMRI-activation.
Subjects and methods: 
Twelve new chronic stroke patients were treated with CIMT and integrity of PT was measured with transcranial magnetic stimulation. Before therapy, after therapy, and after 6 months, changes in motor function were correlated with differential and percent fMRI signal changes.
 Results: 
All patients improved after two weeks of therapy, but only those with intact PT maintained improvement after 6months. When PT was intact, improvement correlated with first a decrease of activation in SMC and after 6 months with an increase. When PT was affected, improvement consistently correlated with an increase in a lateral extension of SMC. Percent changes of activation were surrounded by differential changes.
Conclusions: 
An intact PT might be advantageous for lasting improvement after CIMT and subregions in SMC seem to behave differently during recovery.
 1. Introduction
Constraint-Induced Movement Therapy (CIMT) is effective in selected patients with chronic motor stroke(Taub and Uswatte, 2002; Rijntjes et al., 2005). Improvement, at least after two weeks of therapy, seems to be independent from the lesion site, even when structural MRI shows infarction in the posterior limb of the internal capsule(Gauthier,2009),where the pyramidal tract(PT) from the primary hand area passes through (Fries et al., 1993; Morecraft et al., 2002;Wenzelburger et al., 2005). However, while the integrity of the PT may not influence the benefit of CIMT when measured directly after therapy, it might still influence the sustainability of effects in the long term. Therefore, in a new cohort of chronic stroke patients, we allocated patients in two groups, according to the integrity of the PT, as measured with Transcranial Magnetic Stimulation (TMS), and looked at the long-term effect of CIMT. Related to this question is the possibly that improvement can be associated with different mechanisms of reorganization: the activation pattern in primary sensorimotor cortex (SMC) measured with fMRI depends strongly on the integrity of the PT (measured with TMS)(Hamzeietal.,2006,2008). If the primary motor cortex or its outflow via the PT was affected, patients showed a treatment-induced increase of activation in SMC after two weeks of CIMT. If the primary motor cortex and the PT were not affected, patients showed a decrease of activation in SMC. Although no direct correlation between fMRI signal change and clinical improvement was performed in these last two studies, both groups profited from CIMT when measured directly after therapy. To investigate the mechanisms behind treatment effects in the long term, we correlated fMRI signal changes with changes in motor score between the time points before and directly after two weeks of CIMT (1st phase), and between the timepointsdirectlyafterCIMTandafter6monthsoffollowup (2nd phase). However, there is no straight forward relation between changes in motor scores and BOLD-signal changes in fMRI. Motor scores are not continuous and are developed for inter-observer reliability,consistency over time or for comparisons between patients, not for comparison with brain activity.For motor scores, one approach is to use differential changes (score at time-point two minus score at time-point one) (Prabhakaran et al., 2008; Marshallet al., 2009). Another common approach is using ratioor percent changes, which can be related to baseline performance(e.g.Johansen-Bergetal.,2002),to maximum possible value (e.g. Malouin et al., 2004) or to the unaffected extremity (e.g. Ward et al., 2003). Vice versa, the same considerations apply to fMRI signal changes: BOLD-signal change is directly related to neuronal activity (Logothetis et al., 2001), but how much neuronal activity (and thereby BOLD-signal)should increase for a certain gain in performance in a clinical score is completely unclear.Applying nonparametric models may be one solution, but would limit statements about the actual distribution of changes. There is no simple solution and to further explore this question, we correlated per-cent changes in motor score with both differential and percent changes in BOLD-signal.As paradigm for fMRI we used passive movement of the hand, as it is independent from individual performance and improvements. Passive movement inducesalmost identical patterns of activation in SMC com-pared to active movements in healthy subjects and stroke patients, including the primary sensorimotor cortex (Weiller et al., 1996; Lee et al., 1998; Mimaet al., 1999), is reliable over time (Nelles et al., 1999;Loubinoux et al., 2001, 2003; Tombari et al., 2004;Ward et al., 2006) and has been used successfully in longitudinal studies on recovery from motor stroke(Loubinoux et al., 2003; Tombari et al., 2004; Wardet al., 2006; Hamzei et al., 2008). We chose the WMFT-sec score for comparison with fMRI-data because it is considered to measure clinically relevant improvements (Wolf et al., 2006), is reliable, internally consistent, stable (Morris et al.,2001; Wolf et al., 2005), and developed especially for monitoring also small increases in performance.It assesses a wide range of everyday hand movements,and it accurately measures performance with a stop-watch.c