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.

Monday, April 24, 2023

Cortical excitability following passive movement

What do you do when there is no cortex to excite? Most of my motor cortex is dead.  I have probably done millions of finger flexions in the past 17 years, nothing has seemed to help reduce spasticity or get even limited movement. WHAT IS THE SOLUTION FOR ME? 

So testing in healthy subjects means this really has no applicability to stroke survivors.

Cortical excitability following passive movement

2018; 21(2): 23–32.
Published online 2018 Nov 30. doi: 10.1298/ptr.R0001

Hideaki ONISHI, PhD, PT1,2

Abstract

In brain injury rehabilitation, passive movement exercises are frequently used to maintain or improve mobility and range of motion. They can also induce beneficial and sustained neuroplastic changes. Neuroimaging studies have revealed that passive movements without motor commands activate not only the primary somatosensory cortex but also the primary motor cortex, supplementary motor area, and posterior parietal cortex as well as the secondary somatosensory cortex (S2) in healthy subjects. Repetitive passive movement has also been reported to induce increases or decreases in cortical excitability. In this review, we focused on the following: cortical activity following passive movement; cortical excitability during passive movement; and changes in cortical excitability after repetitive passive movement.

Keywords: Passive movement, Cortical excitability, Magnetoencephalography, Transcranial magnetic stimulation

Various cortical imaging techniques measure brain activity, including functional magnetic resonance imaging (fMRI), positron emission tomography (PET), near-infrared spectroscopy (NIRS), electroencephalography (EEG), magnetoencephalography (MEG), and transcranial magnetic stimulation (TMS). Because EEG and MEG have excellent temporal resolution compared to fMRI, PET, and NIRS, they have been used to analyze the temporal aspects of cortical sensorimotor information processing; MEG fields, in particular, provide a direct reflection of the primary neural current, giving excellent spatial and temporal resolution.

TMS is a noninvasive brain stimulation technique that can be used to determine corticospinal excitability by measuring the muscular response to stimulation (the motor-evoked potential, MEP). Intracortical inhibition (ICI) can be examined by the paired-TMS paradigm, by presenting a subthreshold conditioning stimulus followed by a suprathreshold test stimulus. With a short inter-stimulus interval (ISI) of 1-4 ms, the test responses are inhibited, known as short interval intracortical inhibition (SICI). This inhibition depends on local gamma-aminobutyric acid A (GABAa) receptor-mediated cortical inhibition and so is used as an indicator of GABAa-mediated circuit activity in the primary motor cortex-. Depending on the ISI between the nerve stimulus and TMS pulse, the peripheral nerve stimulation delivered prior to the TMS pulse either inhibits the MEP or facilitates it,. MEPs are suppressed by electrical stimulation with an ISI of approximately 20 ms, which is the first cortical component of somatosensory evoked potential following peripheral nerve stimulation; this is referred to as short latency afferent inhibition (SAI),-. Conversely, MEPs are facilitated by electrical stimulation with an ISI of about 50-100 ms between the electrical stimulation and TMS pulse, known as afferent facilitation (AF),-. Pharmacological studies have demonstrated that cholinergic and GABAergic systems both play a role in SAI,.

There have been several studies of cortical activities or cortical excitability following voluntary movement, passive movement, peripheral nerve stimulation, mechanical stimulation, motor-point stimulation, water immersion, and noninvasive transcranial electrical brain stimulation. These have used fMRI, PET, NIRS, EEG, MEG, and TMS and have involved SICI, SAI, and AF techniques. In this review, we focus on the cortical activity and cortical excitability that arise from passive movement.

Cortical Activation Following Passive Finger Movement

Numerous studies have measured brain activity following passive movement using fMRI and PET, revealing that passive movements without motor commands activate not only the primary somatosensory cortex (S1), but also the primary motor area (M1), supplementary motor area (SMA), posterior parietal cortex (PPC), and bilateral secondary somatosensory areas (S2)-. However, the M1 activation in response to passive movement was not observed in patients with severe distal sensory neuropathy, suggesting that peripheral somatosensory afferent activation contributes to M1 activation. However, unlike MEG, PET, and fMRI do not have sufficient temporal resolution to elucidate the time course of activity in these cortical areas.

Some studies have used MEG systems to investigate the somatosensory evoked fields (SEFs) that accompany passive movement-. For example, Xiang et al. identified four SEF components, with peak latencies of 20, 46, 70, and 119 ms after the onset of passive finger movement. Several researchers have reported that the large SEF component after passive movement was of a long duration, with two peaks from 30 to 100 ms after the onset-. The equivalent current dipoles (ECDs) of these two components were located in area 3b, area 4, and areas 3b and 4,. However, many MEG studies have shown no evidence of activity in the SMA, PPC, or S2 following passive movements. In a previous study, we recorded SEFs following active and passive finger movement with a multiple dipole analysis system to examine the detailed time course of cortical activity and source localizations. Consistent with earlier studies, the two peaks of the MEG response associated with passive movement were recorded between 30 and 100 ms after the onset of movement. Figure Figure11 shows the resulting isocontour maps over the left hemisphere at 34 ms, 89 ms, and 121 ms, and over the right hemisphere at 140 ms, after active and passive movements. The earliest and second components (PM1 and PM2) had peaks at approximately 36 and 86 ms after passive movement onset. The ECD of PM1 was estimated to be in area 4. And the ECDs of PM2 were estimated to be in area 4, SMA, and the PPC over the hemisphere contralateral to the movement, and in S2 of both hemispheres (Figure (Figure2).2). The peak latency of each source activity was obtained in the range 54-109 ms in the SMA, 64-114 ms in the PPC, and 84-184 ms in the S2 (Figure (Figure33).

An external file that holds a picture, illustration, etc.
Object name is ptr-21-02-0023-g001.jpg

Isocontour maps over the left hemisphere at 34 ms, 89 ms, 121 ms, and over the right hemisphere at 140 ms, after active (a) and passive (b) movement in a representative subject. Red areas indicate magnetic flux exiting the head and blue areas flux entering the head. (Onishi et al., 2013)

An external file that holds a picture, illustration, etc.
Object name is ptr-21-02-0023-g002.jpg

Equivalent current dipoles (ECDs) following passive movement overlapped on the inflated brain of a representative subject. In this subject, the ECDs were estimated at the primary sensorimotor area (dipole 1), supplementary motor area (SMA, dipole 2), posterior parietal cortex (PPC, dipole 3), and contralateral secondary somatosensory cortex (cS2, dipole 4). (Onishi et al., 2013)

An external file that holds a picture, illustration, etc.
Object name is ptr-21-02-0023-g003.jpg

Time courses of source activity and the locations of sources using Brain Electrical Source Analysis. a) Time course for each source activity in all subjects. b) Time course of the averaged source activity of each source. c) Schematic presentation of the locations of all the dipoles following passive movement. Area 4 (n = 13); area 6 (supplementary motor area, SMA, n = 12); posterior parietal cortex (PPC, n = 7); contralateral secondary somatosensory cortex (cS2, n = 7); ipsilateral secondary somatosensory cortex (iS2, n = 7). (Onishi et al., 2013)

Cortical Excitability During passive Movements

Several studies have reported consistent MEP changes in response to TMS at specific intervals following peripheral nerve electrical stimulation. For example, SAI was observed when the ISI between median nerve electrical stimulation and TMS was set at 20-50 ms,-, whereas AF was observed with an ISI of 50-100 ms,-. It is possible that passive movement could affect M1 excitability by activating afferent inputs according to the direction of movement. Unlike electrical peripheral stimulation paired with TMS, there have been no studies on SAI or AF during passive movement, so we conducted a study to elucidate the effects of joint angle and passive movement direction on M1 excitability. This showed that M1 excitability increased 125 ms after the start of passive movements, suggesting that AF was evoked by somatosensory input with passive movements. We also investigated whether M1 excitability depended on the ISI between the passive movement and the TMS pulse and whether modulation of M1 excitability depended on the movement velocity (40°/s and 160°/s) and joint angle of the passive movement. Hence, the index finger was passively moved in the adduction direction (Figure (Figure4)4) followed by TMS pulses in the midrange of the metacarpophalangeal joint with ISIs of 30, 60, 90, 120, 150, 180, and 210 ms. The results showed that MEPs were significantly facilitated at 90, 120, and 150 ms without F-wave changes (Figure (Figure5),5), and that MEP facilitation depended on the movement velocity (Figure (Figure6)6) and joint angle (Figure (Figure7).7). In addition, MEP significantly decreased at 30 ms of ISI only under 160°/s velocity. Thus, these experiments demonstrated that the facilitation of M1 excitability by somatosensory inputs induced by passive movements depended on the ISIs, the passive movement velocity, and the joint angle.

An external file that holds a picture, illustration, etc.
Object name is ptr-21-02-0023-g004.jpg

The passive movement control apparatus. a) The main device controls the velocity and range of the movement. b) c) The secondary device produces repetitive passive movements of the right index finger. (Sasaki, et al., 2017)

An external file that holds a picture, illustration, etc.
Object name is ptr-21-02-0023-g005.jpg

The change in the amplitude of motor-evoked potentials (MEPs) with the inter-stimulus interval (ISI). The data show mean ± standard error MEP amplitudes (n = 20). Passive movements of the index finger for the adduction direction were performed at a velocity of 80°/s. Transcranial magnetic stimulation (TMS) pulses followed the passive movements with ISIs of 30, 60, 90, 120, 150, 180, and 210 ms. The TMSs were performed for the left M1, and the MEPs were recorded when the index finger was at the intermediate position. *p < 0.05 compared with baseline. (Sasaki, et al., 2017)

An external file that holds a picture, illustration, etc.
Object name is ptr-21-02-0023-g006.jpg

The effect of movement velocity on motor-evoked potential (MEP) amplitudes. Passive movements of the index finger in the adduction direction were performed at velocities of 40°/s and 160°/s. Inter-stimulus intervals (ISIs) were set at 30, 90, and 150 ms, and the MEPs were recorded with the finger in the intermediate position. Black and white circles indicate the mean ± standard error MEP amplitudes for all subjects (n = 15) for each ISI at velocities of 40°/s and 160°/s, respectively. The MEPs differed significantly between 40°/s and 160°/s for each ISI. At 40°/s, there was a significant increase in MEP only at an ISI of 90 ms; but at 160°/s, the MEP was significantly lower than baseline at 30 ms and significantly higher at 90 and 120 ms. *p < 0.05 compared with baseline. † p < 0.05 for the difference between the two velocities. (Sasaki, et al., 2017)

An external file that holds a picture, illustration, etc.
Object name is ptr-21-02-0023-g007.jpg

The effect of joint angle on motor-evoked potential (MEP) amplitudes. Passive movements of the index finger in the adduction direction was performed at a velocity of 80°/s. Inter-stimulus intervals (ISIs) were set at 30, 90, and 150 ms, and MEPs were recorded with the finger in the 10° abduction or 10° adduction position (shortening vs. extension of the first dorsal interosseous muscle). Black and white circles show the mean ± standard error MEP amplitudes for all subjects (n = 15) in the 10° abduction position and 10° adduction, respectively, for each ISI. The MEPs were significantly different between the 10° abduction and 10° adduction positions at 90 and 150 ms. For 10° abduction, the MEP was significantly higher than baseline only at 90 ms; for 10° adduction, the MEP was significantly higher at 90 and 150 ms. *p < 0.05 compared with baseline. † p < 0.05 for the difference between the two joint angles. (Sasaki, et al., 2017)

Cortical Excitability after Repetitive Passive Movements

In the field of rehabilitation, repetitive voluntary movements or passive movements are widely used to enhance muscle strength, to improve range of motion, and to promote motor learning or motor function in patients, such as for those who have suffered a stroke. Corticospinal excitability temporarily declines after voluntary exercise, a phenomenon referred to as post-exercise cortical depression (PED)-. A number of studies have reported that PED persisted for 20-30 min after exhaustive exercise at maximum voluntary contraction,,, and that it can be induced by light repetitive voluntary movement-. In our own study, we showed that PED was induced by index finger abduction movement at 10% maximum voluntary contraction at a rate of 0.5 Hz for 10 min, and Teo et al. observed PED that persisted for 8 min after 10 s of non-exhaustive finger flexion-extension movement. These observations demonstrate that both exhaustive and non-exhaustive movement can induce PED.

During the period of PED, the F-wave amplitude remains stable, indicating that spinal excitability does not change,, whereas inhibitory cortical circuit transmission increases, as shown by increased SICI,. It is therefore thought that PED results from inhibition of the excitability of M1. In addition, PED fluctuates according to the frequency of voluntary movement and the strength and type of muscle contraction,,. Potential mechanisms for PED include cortical depression, decreased neurotransmitter levels, the decreased excitability of intracortical glutamatergic networks, and the increased excitability of inhibitory GABAergic networks.

There have been inconsistent results for how M1 excitability changes after passive exercise, with studies reporting decreased, increased, and unchanged excitability. Miyaguchi et al. reported that repetitive passive movement (RPM) of the index finger for 10 min at 0.5 Hz reduced M1 excitability, whereas Mace et al. reported that RPM of the wrist for 60 min at an average frequency of 1.0 Hz increased M1 excitability, and Lotze et al. and McDonnell et al. observed no changes in MEPs after RPM for 30 min,. Table Table11 summarizes six reports of studies that investigated MEP changes associated with passive movements. The differences in M1 excitability between studies may have been influenced by differences in various stimuli, such as the duration of movement, speed of movement, presence or absence of a duty cycle of repeated movement and rest, and the degree of active attention given to the movement by the participant.

Table 1.

Summary of studies investigating changes in motor-evoked potentials (MEP) after repetitive passive movements.


duration (min)number of movementsvelosity (degree/sec)joint of movementrange of movementduty cycleattentionMEP
Notes: "Index" refers to index finger. Duty cycle + and - refer to the presence or absence, respectively, of a duty cycle including rest periods. Attention + and - refer to attention being given or not given, respectively, to the joint being moved. The arrows ↑, ↓, and → indicate increased, decreased, or unchanged MEPs, respectively.
Mace601800120wrist-45⇔45++
Lotze30300309wrist0⇔55++
Miyaguchi1030020index0⇔20--
Sasaki1030020index0⇔20--

1060040index0⇔20--

101800120index0⇔20--

103000200index0⇔20--
Otsuka1030015index-15⇔0--

1030015index0⇔15--

1015015index-15⇔15--

1030015index15⇔30--
Tsuiki1060040index0⇔20--

1024040index0⇔20+-

10600100index0⇔20+-

To clarify the factors that influence M1 excitability, we first investigated the effect of passive movement speed on PED after 10 min of RPM. We applied RPMs of different frequencies to examine whether movement frequency contributed to the modulation of M1 excitability. The right index finger was passively abducted and adducted for 10 min at 0.5, 1.0, 3.0, and 5.0 Hz. We confirmed movement frequency and joint angle during RPM for all subjects using a electrogoniometer attached to the metacarpophalangeal joint of right index finger (Figure 8A-D). Background EMG was monitored from the right FDI muscle during RPM to confirm passive movement (i.e., no EMG activity) (Figure (Figure8E).8E). RPMs at 0.5 Hz and 1.0 Hz both resulted in MEPs decreased relative to baseline for 2 min, whereas 5.0-Hz RPM reduced MEPs for 15 min; however, 3.0-Hz RPM resulted in no change in MEPs (Figure (Figure9).9). No F-wave changes were observed following any RPM intervention. We then used the paired-pulse TMS technique to investigate whether RPM modulated the cortical inhibitory circuit. We measured SICI before and after 1.0, 3.0, and 5.0-Hz RPM using paired-pulse TMS with an ISI of 3 ms. Both 1.0-Hz and 5.0-Hz RPM resulted in an increase in SICI compared with baseline. These results suggest that M1 excitability decreases after RPM in a manner that depends on the movement frequency, possibly through frequency-dependent enhancement of the cortical inhibitory circuit in M1. However, those experiments were not able to clarify why the MEP depression and SICI increase were not observed specifically at 3.0-Hz RPM. We therefore investigated whether RPM affected primary somatosensory cortex (S1) excitability. Somatosensory evoked potentials were recorded after 1.0, 3.0, and 5.0-Hz RPM for 10 min. Only the 3.0-Hz RPM resulted in a decrease in the P45 component of the somatosensory evoked potentials. Because theta burst stimulation over S1 suppresses S1 excitability and facilitates M1 excitability,, it is possible that the depression in S1 excitability after the 3.0-Hz RPM may enhance M1 excitability through the nerve fibers from S1 to M1, thereby resulting in PED being disturbed by the 3.0-Hz RPM.

An external file that holds a picture, illustration, etc.
Object name is ptr-21-02-0023-g008.jpg

Kinematic measurements during repetitive passive movement of the right index finger. (A) Joint angle during 0.5 Hz-RPM, (B) Joint angle during 1.0 Hz-RPM, (C) Joint angle during 3.0 Hz-RPM, (D) Joint angle during 5.0 Hz-RPM, (E) EMGs of the FDI muscle during 5.0 Hz-RPM. (Sasaki, et al., 2017)

An external file that holds a picture, illustration, etc.
Object name is ptr-21-02-0023-g009.jpg

The effect of the frequency of rapid passive movement (RPM) on MEP amplitudes. Time course of change in mean ± standard error MEP amplitudes for all subjects (n = 15) following 0.5, 1.0, 3.0, and 5.0-Hz RPM. * p < 0.05 compared with the pre value. (Sasaki, et al., 2017)

We next examined the influence on PED of the range of passive movement (the extension amplitude of the muscle). The index finger was passively moved from 15° abduction to 15° adduction, 15° abduction to 0°, 0° to 15° adduction, and 15° adduction to 30° adduction, with each movement at 15°/s for 10 min. MEPs and F-waves were measured before and after each RPM. The amplitude of MEPs significantly decreased after all the RPMs, but the F-wave amplitude remained stable. These results suggest that the range of passive movement does not markedly influence the magnitude of PED.

A previous study reported that corticospinal excitability increased after passive movements for 60 min with a duty cycle that included 5-8 s of rest after every 10 movements. In another study that used peripheral electric stimulation, intermittent stimulation with a duty cycle of repeated stimulation and rest at an intensity above the motor threshold resulted in significantly increased corticospinal excitability. It has also been shown that corticospinal excitability significantly decreased with continuous theta burst stimulation but increased when the theta burst stimulation was intermittent. These findings suggest that continuous and intermittent interventions with duty cycles of repeated stimulus and rest may have different effects on corticospinal excitability. We therefore examined the effect on M1 excitability of the presence or absence of a duty cycle for the RPM. Repetitive passive abduction-adduction movements of the right index finger from a neutral position to 20° of abduction were performed for 10 min under three conditions: 1, movement velocity of 40°/s and continuous RPM (600 movements); 2, movement velocity of 40°/s and intermittent RPM (240 movements), with a configured duty cycle of 4 s on/6 s off; and 3, movement velocity of 100°/s and intermittent RPM (600 movements), with a configured duty cycle of 4 s on/6 s off. M1 excitability was significantly reduced under conditions 1 and 3 (Figure (Figure10).10). These results suggest that changes in corticospinal excitability do not depend on the presence or absence of the duty cycle but are influenced by the number of movements.

An external file that holds a picture, illustration, etc.
Object name is ptr-21-02-0023-g010.jpg

Motor-evoked potential (MEP) amplitudes before and after repetitive passive movements (RPMs) under three conditions. a) Continuous RPM (600 movements); the MEP amplitude decreased significantly at Post-0 and Post-5 compared with Pre. b) Intermittent passive movement (240 movements); there were no significant differences in MEP amplitude between before and after the passive movements. c) Intermittent passive movement (600 movements); the MEP amplitude decreased significantly at Post-0 and Post-5 compared with Pre. ** p < 0.01 compared with the pre value. * p < 0.05 compared with the pre value.

Attention is closely related to cortical excitability. For example, during paired associative stimulation interventions, M1 excitability increased significantly when attention was directed to the stimulation side, but there was no change when focusing on the other hand. It has also been reported that SICI decreases and M1 excitability increased when attention was paid to the target hand during finger movements, repetitive TMS, or vibration stimulation, but with no change in M1 excitability when there was no attention on the hand. These findings suggested that attention to the stimulated side during an intervention diminishes the activity of the suppressive circuits in the cortex, thereby increasing corticospinal excitability. We therefore investigated the influence on M1 excitability of paying attention to passive movement and found that, when attention was paid to the moving finger during passive movement, corticospinal excitability increased, whereas corticospinal excitability did not change under conditions where no attention was directed to the passive finger movements (under review).

Conclusion

In this review, we summarized cortical activity and excitability associated with passive movement, focusing in particular on cortical excitability after RPM. Corticospinal excitability is thought to be influenced by various factors, such as the duration and velocity of movements, the presence or absence of a duty cycle of repeated movement and rest, and whether active attention was directed at the movement. We therefore performed several experiments involving RPMs, which showed that, whether or not there was a duty cycle of repeated movement and rest, RPM resulted in a temporary decrease in cortical excitability when no attention was paid to the passive movement, but an increase in cortical excitability when attention was directed at the movement.

My conclusion; nothing useful for stroke survivors. Survivors want primary recovery, actual muscle movement!  Not this intermediate step of activation.

 

No comments:

Post a Comment