The authors have no acknowledgements.

The protocol described here followed the guidelines of the ethics committee of the University of Freiburg and was in accordance with the declaration of Helsinki (1964).
1. Ethical Approval - Subject Instruction
<ol>
	<li>Before the actual experiment, instruct all subjects about the purpose of the study and potential risk factors. When applying transcranial magnetic stimulation (TMS), there are some medical risks including any history of epileptic seizures, metal implants in eyes and/or head, diseases of the cardiovascular system and pregnancy. Exclude any subject affirming to one of these risk factors from the study.</li>
	<li>Include only healthy individuals in the study. Exclude individuals with any neurological, mental and/or orthopaedic diseases.</li>
</ol>
2. Subject Preparation
<ol>
	<li>Subject placement
	<ol>
		<li>Throughout the entire experiment, seat subjects in a comfortable chair. Fix the head of the participant using a cast embracing the neck, ensuring a stable head position and avoiding any movements of the head relative the TMS coil.</li>
		<li>Place the right arm of the subjects in a custom-built arm rest to minimize movements of the wrist. Fix the subject&#39;s right index finger to a splint mounted to the arm of a robot. Align the axis of rotation of the robot arm with the metacarpophangeal joint of the right hand so that the joint centre matches the rotational centre of the robot.</li>
	</ol>
	</li>
	<li>Force recordings
	<ol>
		<li>Measure the force applied by the subjects by a torquemeter mounted in the robot arm and measure the position of the robot arm (corresponding to the position of the index finger) by a potentiometer connected to the rotational axis of the robot 22.</li>
	</ol>
	</li>
	<li>Electromyography (EMG)
	<ol>
		<li>Use a bipolar configuration of surface electrodes to measure electrophysiological responses elicited by TMS as well as muscular activation produced by the subjects.
		<ol>
			<li>Before attaching the electrodes to the skin over the first dorsal interosseus muscle (FDI) and the abductor pollicis brevis (APB) of the right hand, shave the skin of the subjects, then slightly abrade it using sandpaper or abrading gel and disinfect it with propanol.</li>
			<li>Following this, attach self-adhesive EMG electrodes to the skin over the muscle bellies of the FDI and APB. Place an additional reference electrode on the olecranon of the same arm.</li>
			<li>Cable-connect all electrodes to an EMG amplifier and to an analogue-digital converter. Amplify the EMG signals (x 1,000), bandpass-filter (10 - 1,000 Hz) and sample at 4 kHz. Store the EMG signals for offline analysis.</li>
		</ol>
		</li>
	</ol>
	</li>
	<li>TMS
	<ol>
		<li>Use a figure of eight coil attached to a TMS stimulator to stimulate the contralateral motor cortical hand area.</li>
		<li>Find the optimal position of the coil relative to the scalp for eliciting motor evoked potentials (MEPs) in the FDI muscle by a mapping procedure:
		<ol>
			<li>Place the coil approximately 0.5 cm anterior to the vertex and over the midline with the handle pointing at 45&#176; anticlockwise relative to the sagittal plane, inducing a posterior-anterior flow of the current in the centre of the coil.</li>
			<li>At the beginning, choose a small stimulation (e.g., below 30% maximum stimulator output, MSO) intensity to get the subjects accustomed to the magnetic pulses.</li>
			<li>Subsequently, increase the stimulation intensity in small steps, for example 2 - 3% maximum stimulator output (MSO) and move the coil in the frontal-rostral and medio-lateral direction in order to find the optimal site (hotspot) for stimulating the FDI muscle. The hotspot is defined as the place where the greatest MEP can be observed at a given stimulation intensity.</li>
		</ol>
		</li>
		<li>After finding the FDI hotspot, determine resting motor threshold (MT) as the minimum intensity required to evoke MEP peak-to-peak amplitudes in the EMG larger than 50 &#181;V in three out of five consecutive trials 18. Inspect the size of the MEPs displayed online on the computer screen.</li>
		<li>After eliciting MEPs with 1.0*MT, constantly decrease the stimulation intensity of the TMS machine in steps of 2% MSO until the MEP can no longer be observed and an EMG suppression of the ongoing muscle activity becomes apparent. 
		Note: In order to depict the TMS induced EMG suppression it is necessary to apply a high number of stimulations (see section 5. &#34;Data Processing&#34;)</li>
	</ol>
	</li>
</ol>
3. Feedback Presentation
<ol>
	<li>Divide the participants into three groups (pF, fF, CON).</li>
	<li>Instruct subjects from the position feedback group (pF) in half of the trials to receive feedback about the position of the index finger (position feedback) when moving the index finger by pressing against the robotic device.</li>
	<li>In the other half of the trials, instruct subjects to receive feedback about the applied force while moving the robotic device (force feedback). 
	Note: In reality, however, they always receive the same feedback (position feedback).</li>
	<li>Instruct subjects from the force feedback group (fF) to receive force feedback in half of the trials and receive position feedback in the other half. 
	Note: In fact, this group is solely provided with force feedback.</li>
	<li>Do not instruct the control group (CON) about the source of the feedback. Note: The control group receives force feedback in one half of their trials and position feedback in the other half.</li>
	<li>Randomly alter the order of the sessions, that is, whether trials start with force or position feedback, in all groups.</li>
	<li>Visually display the force and the position feedback on a computer screen placed 1 m in front of the subjects.</li>
	<li>In each condition, present a target line corresponding to 30% of the subject&#39;s individual maximal voluntary force, or the finger angle of the index finger at 30% maximally voluntary contraction (MVC), on the computer screen and instruct the subject to match the target line as closely as possible.</li>
</ol>
4. Maximal Isometric Force
<ol>
	<li>After the subject is prepared (EMG), perform three isometric maximum voluntary contractions (MVC), consisting of a gradual increase in isometric force from zero to maximum over a 3 sec time span and the maximal force held for 2 sec 20,21.</li>
	<li>Verbally encourage the subject to achieve maximal force. After each trial, allow the subjects to rest for 90 sec to avoid fatigue.</li>
</ol>
5. Experimental Procedure
<ol>
	<li>Fatiguing Motor Task- Sustained contractions. 
	Note: The fatiguing task consists of two sustained contractions executed on separate days.
	<ol>
		<li>Instruct the subjects to match the target line of 30% MVC for as long as possible with a line corresponding to the applied force or the position of their finger corresponding to a force level of 30% MVC. 
		Note: The target line during the position feedback condition (pF-group) therefore corresponds to the finger angle when subjects match the force level of 30% MVC.</li>
		<li>Ask the subjects to hold the contractions until task failure, which is defined as the point where the subjects are no longer able to hold the target force inside a 5% window of the target force over a period of 5 sec (fF-group). For the pF-group, define task failure as when the participants are unable to maintain the finger angle within 5 % of the required target angle for 5 sec 12,23.</li>
		<li>Ensure that the two sustained contractions are separated by at least 48 hr.</li>
	</ol>
	</li>
	<li>TMS-protocol 
	Note: The subthreshold TMS experiment is carried out on separate day to the fatiguing contractions. This is important as fatigue has an influence on the EMG suppression evoked by subTMS 24,25 so differences between force and position cannot be clearly identified. Separating the fatiguing contractions from the TMS measurements has the advantage that differences in the EMG suppression can now be clearly be attributed to the different interpretation of the feedback but has the limitation that the results can not directly be linked to the differences in the time to fatigue of the sustained contractions.
	<ol>
		<li>Conduct the part of the experiment using TMS (see also section 3. &#34;Feedback presentation&#34;) on a separate occasion than the fatiguing experiments. Initially, follow the exact same procedure as for the fatiguing contraction (e.g., MVC contractions) but this time, ask the subjects to hold the contractions only as long as the TMS stimulation lasts. Thus, the contractions are not fatigable and only held for approximately 100 sec during each TMS trial.</li>
		<li>Provide a break of 3 min between trials to minimize any bias of fatigue.</li>
	</ol>
	</li>
</ol>
6. Data Processing
<ol>
	<li>TMS
	<ol>
		<li>Apply a total of 100 sweeps, 50 sweeps with and 50 sweeps without stimulation, with an inter-stimulus interval ranging from 0.8 to 1.1 s 20,21,25,26. This short interstimulus interval makes sure that the subjects do not need to hold the contractions for too long so fatiguing effects can be minimized.</li>
		<li>To analyse if the TMS stimulation caused a facilitation (MEP) or an EMG suppression, subtract the rectified and then average 50 sweeps with stimulation (stimulated EMG) from the 50 sweeps without stimulation (control EMG) 20,21,25-27. 
		Note: The onset of the EMG suppression is defined as the time point where the averaged EMG for the sweeps with the stimulation is less than the control EMG for at least 4 msec in a time frame of 20 to 50 msec after the TMS pulse. The end of the suppression is defined as the instant when the stimulated EMG is greater than the control EMG for at least 1 msec and the extent of the suppression is calculated as percentage change (control-stimulated/meancontrol*100).</li>
		<li>Use the sweeps without TMS stimulation for the calculation of the background EMG activation and average them over the same time window as the trials with stimulation 20,21,25,26.</li>
	</ol>
	</li>
	<li>EMG
	<ol>
		<li>Determine the maximal EMG activity by calculating the root-mean-square value recorded in a 0.5s time window around the peak force measured during the MVC tests 20,21.</li>
		<li>For the sustained contractions, analyse the EMG by building 8 sec long bins where the root-mean-square of the rectified EMG is calculated and normalized to the EMG activity obtained during the MVC trials 20,21.</li>
	</ol>
	</li>
</ol>

The authors have nothing to disclose.

The present study investigated if the interpretation of augmented feedback influences the time to fatigue of a sustained submaximal contraction and the neural processing of the primary motor cortex. The results show that as soon as the participants interpreted the feedback as position feedback (compared to force feedback), the time to fatigue was significantly shorter and the inhibitory activity of the motor cortex (measured as the amount of EMG suppression caused by subTMS) is greater. As the task did not change between conditions, the current findings indicate differences in force and position control strategies depending on the interpretation of the source of the feedback. Most previous experiments focused on feedback specific aspects such as the timing 28 or the frequency 29,30 of the feedback whereas the present study evaluated whether information about the content of the feedback signal and thus the interpretation about it can affect motor behaviour.
One limitation of this method is that it is not always possible to cause a TMS evoked EMG suppression in every subject without prior facilitation. Some studies reported that it was only possible in 50% of the subjects to cause the EMG suppression in the absence of an initial facilitation but that the method is nevertheless accepted as a valid tool for quantifying intracortical inhibition 24,26,34. This is probably the case when the thresholds for the activation of inhibitory and excitatory interneurons are very similar 25,35.
Furthermore, it is important to conduct the subthreshold TMS experiment on a separate occasion than the fatiguing contractions. The reason is that fatigue can have and influence on the EMG suppression meaning that differences between force and position might be hard to interpret. On the one hand this has the advantage that by separating the measurements, it is possible to link potential differences in the EMG suppression with the interpretation of the feedback but on the other hand has the limitation that the results can not directly be linked to the differences in the time to fatigue of the sustained contractions.
It is also very important that the same experimenter is conducting the individual experiments so subjects do not become aware that they might be cheated in the sense that they receive a different kind of feedback than they were told.
What the current approach does not reveal is what exactly caused the differences in time to fatigue and the differences in EMG suppression between the force and the position controlled contraction. During fatigue, a number peripheral, subcortical and cortical mechanism could play a role. For the differences in the EMG suppression evoked with subTMS, it is very likely that an altered inhibitory activity is responsible for the observed results. One way to test this would be to use a modified TMS protocol such as short intracortical inhibition (SICI) being a potential future application.

Sensory feedback is crucial to perform movements. Daily activities are hardly possible in the absence of proprioception 1. Furthermore, motor learning is influenced by proprioceptive integration 2 or cutaneous perception 3. Healthy humans with intact sensation are able to weight the sensory inputs arising from various sensory sources in order to meet situation-specific needs 4. This sensory weighing enables humans to perform difficult tasks with high precision even when some aspects of the sensory information are unreliable or even absent (e.g., walking in the dark or with eyes closed).
Additionally, various evidence suggests that providing augmented (or additional) feedback further improves motor control and/or motor learning. Augmented feedback provides additional information by an external source which can be added to the task intrinsic (sensory) feedback arising from the sensory system 5,6. Especially the effect of the content of augmented feedback on motor control and learning has been of great interest in recent years. One of the questions addressed was how humans control force and position 7,8. Initial investigations identified differences in time to fatigue of a sustained submaximal contraction using either position or force feedback and differences in load compliance (e.g., 9-12). When subjects were provided with force feedback, the time to fatigue of the sustained contraction was significantly longer compared to when position feedback was provided. The same phenomenon was observed for a variety of different muscles and limb positions and a number of neuromuscular mechanisms, including a greater rate of motor unit recruitment and a greater decrease in H-reflex area during the position controlled contraction (for review 13). However, in these studies, not only the visual feedback but also the physical characteristics of the muscular contraction (i.e., the compliance of the measurement device) was altered. Therefore, we recently conducted a study not altering compliance but only augmented feedback and provided evidence that provision of force and position feedback alone during a sustained submaximal contraction can cause differences in inhibitory activity within the primary motor cortex (M1). This was shown using a stimulation technique that is known to act solely at the cortical level 14, namely subthreshold transcranial magnetic stimulation (subTMS). Unlike suprathreshold TMS, the response evoked by subTMS, is not modulated by the excitability of spinal &#945;-motoneurons and the excitability excitatory neurons and/or cortical cells 15-17 but solely by the excitability of inhibitory intracortical neurons. The postulated mechanism behind this stimulation technique is that it is applied at intensities below the threshold to evoke a motor evoked potential (MEP). It was shown in patients having electrodes implanted at the cervical level that this type of stimulation does not produce any descending activity but that it primarily activates inhibitory interneurons within the primary motor cortex 14,18,19. This activation of inhibitory interneurons causes a decrease in the ongoing EMG activity and can be quantified by the amount of EMG suppression compared to the EMG activity obtained in trials without stimulation. In this respect, we showed that subjects displayed a significantly greater inhibitory activity in trials in which they received position feedback compared with trials in which force feedback was provided 20. Furthermore, we also showed that not only the presentation of different feedback modalities (force vs. position control) but also the interpretation of feedback can have very similar effects on behavioural and neurophysiological data. More specifically, when we told the participants to receive position feedback (even though it was force feedback) they also not only displayed a shorter time to fatigue but also an increased level of inhibitory M1 activity 21. Using an approach where the same feedback but with different information about its content is always provided has the advantage that the task constraints, i.e., the presentation of the feedback, the gain of the feedback, or the compliance of the load are identical between conditions so that differences in performance and neural activity are clearly related to differences in the interpretation of the feedback and are not biased by different testing conditions. Thus, the current study investigated whether a different interpretation of one and the same feedback influences the duration of a sustained submaximal contraction and furthermore has an impact on the activation of inhibitory activity of the primary motor cortex.

<table border="0" cellpadding="0" cellspacing="0" width="796">
	<tbody>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">torquemeter</td>
			<td>LCB 130, ME-Mebsysteme, Neuendorf, Germany</td>
			<td></td>
			<td style="width:167px;">Part of robotic device built for force and position recordings</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">potentiometer</td>
			<td>type 120574, Megatron, Putzbrunn, Germany</td>
			<td style="width:119px;"></td>
			<td>Part of robotic device built for force and position recordings</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">EMG electrodes</td>
			<td>Blue sensor P, Ambu, Bad Nauheim, Germany</td>
			<td style="width:119px;"></td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">TMS coil</td>
			<td>Magstim</td>
			<td style="width:119px;"></td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">TMS machine</td>
			<td>Magstim Company Ltd., Whitland, UK</td>
			<td style="width:119px;"></td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Recording software</td>
			<td style="width:295px;">Labview-Based</td>
			<td style="width:119px;"></td>
			<td>custom written software</td>
		</tr>
	</tbody>
</table>

force and position control in humans - the role of augmented feedback

During motor behaviour, humans interact with the environment by for example manipulating objects and this is only possible because sensory feedback is constantly integrated into the central nervous system and these sensory inputs need to be weighted in order meet the task specific goals. Additional feedback presented as augmented feedback was shown to have an impact on motor control and motor learning. A number of studies investigated whether force or position feedback has an influence on motor control and neural activation. However, as in the previous studies the presentation of the force and position feedback was always identical, a recent study assessed whether not only the content but also the interpretation of the feedback has an influence on the time to fatigue of a sustained submaximal contraction and the (inhibitory) activity of the primary motor cortex using subthreshold transcranial magnetic stimulation. This paper describes one possible way to investigate the influence of the interpretation of feedback on motor behaviour by investigating the time to fatigue of submaximal sustained contractions together with the neuromuscular adaptations that can be investigated using surface EMG. Furthermore, the current protocol also describes how motor cortical (inhibitory) activity can be investigated using subthreshold TMS, a method known to act solely on the cortical level. The results show that when participants interpret the feedback as position feedback, they display a significantly shorter time to fatigue of a submaximal sustained contraction. Furthermore, subjects also displayed an increased inhibitory activity of the primary cortex when they believed to receive position feedback compared when they believed to receive force feedback. Accordingly, the results show that interpretation of feedback results in differences on a behavioural level (time to fatigue) that is also reflected in interpretation-specific differences in the amount of inhibitory M1 activity.

Interpretation of feedback
In procedure described here, subjects were instructed in a way that they believed in half of their trials to have received position feedback and in the other half of the trials to have received force feedback. In fact, they were tricked in half of their trials as they the pF-group always received position feedback and the fF-group always received force feedback.
Using this method has the advantage that any feedback specific differences (e.g., gain of the signal, colour) can be excluded. Therefore, the results can be solely attributed to differences in the interpretation of the feedback and not to the presentation of the feedback itself. It is however theoretically possible that the subjects realized that the same feedback was presented without telling us. We therefore always asked at the end of the final test if they realized that the feedback was always the same. In the case of the present study, subjects reported that they did not recognize that they were tricked.
Sustained contractions
Irrespective of the group (fF or pF group), i.e., irrespective whether subjects received force or position feedback, they always displayed the same pattern: when they thought to control force, the time to fatigue was significantly longer compared to when they believed they were receiving position feedback. The CON group displayed no differences between the two feedback conditions. An example of one subject from each of the three groups is represented in Figure 1. The FDI EMG activity increased in the course of the sustained contraction but was comparable between feedback conditions (Figure 2).
Force and position control in humans
The question of when and how humans use position or force information for motor control led to a large number of publications in this field with different results probably resulting from the different methodological approaches. Milner and Hinder 36 for example argued that position information rather than force information is used while adapting to new environmental dynamics (i.e., perturbations of the hand path when moving from target A to B). A number of publications looking at behavioural and neural differences between position and force controlled sustained fatiguing contractions found that the time to fatigue is highly reduced when subjects are required to control position compared to force (for review please also see 13). This reduced time to task failure was accompanied by a number of neural adaptations like a faster decrease in H-reflex area 12, a faster recruitment of motor units and differences in limb posture23 as well as an enhanced level of perceived exertion during the position controlled contractions 12,37-40. The paradigm of these studies was that subjects maintained position controlled contractions in a compliant system whereas the force controlled contractions were performed under rigid conditions. Thus, the latter studies and the study by Milner and Hinder 36 suggest that position or force control changes with differences in environmental dynamics and biomechanical demands. What remained unclear, however, was how position and force control is realized when the dynamics and biomechanics of the task remain constant. A recently conducted study showed when changing the feedback from force to position (or vice versa) but the task and thus the dynamics remained the same, that there are differences in time to fatigue 20. The only difference between our tasks was the source of the feedback. Additionally, like in the current study Lauber et al. (2012) used subTMS to reveal differences in the amount of EMG suppression, and found a greater EMG suppression during the position controlled contractions.
Neural control of force and position in humans
The primary motor cortex seems a worthwhile target as it is not only part of the transcortical reflex loop 41,42 but also because it plays a key role during voluntary movement control 43,44. The results of the present study further highlight the role of M1 during force and position controlled contractions as the greater EMG suppression during the position controlled contraction indicates a greater susceptibility of intracortical inhibitory interneurons as soon as the subjects interpreted the feedback as position feedback. This is supported by the finding that when no information about the source of the feedback is provided, no difference in the EMG suppression could be observed. Recent observations suggest that a great amount of EMG suppression caused by the magnetic stimulation indicates a greater contribution of the cortex (i.e., M1) 24. This increased M1 activity in position controlled movements could derive from interpretation specific changes in integrating proprioceptive signals 21. The modified proprioceptive signal could then be differently processed in other cortical areas (e.g., supplementary motor areas (SMA)) which than modify the activity of M1 via their synaptic input. This would be in line with the finding that changes in proprioceptive feedback have the potential to modify intracortical and corticospinal excitability 45.
Taken together, the current findings highlight that depending on the interpretation, augmented feedback can be differently integrated, leading to distinct behavioural and neural adaptations within the central nervous system.
EMG suppression by subTMS:
The subthreshold stimulation resulted in a suppression in the EMG activity during all feedback conditions. The EMG suppression was, however, greater when the subjects thought to receive position feedback compared to when they believed to receive force feedback; again this was independent which kind of feedback they really perceived. Thus, subjects of the pF and the fF group behaved the same kind of way (Figure 3A&#38;B). The CON group (Figure 3C) displayed no differences in the EMG suppression between conditions. Figure 3 shows representative results from individual subjects of all groups that participated in the study and Figure 4 group mean data. Background EMG activation was not different between groups and conditions.
Subthreshold TMS
The principle of subthreshold transcranial magnetic stimulus is that at this low intensities (i.e., below the threshold to evoke MEPs), intracortical inhibitory interneurons are activated which then synaptically reduce the excitability of corticospinal cells 14,27,31. This results in a reduction of the excitatory drive from the cortex down to the muscle during a submaximal sustained contraction and can be quantified by the reduction of the ongoing EMG activity. The reduction in EMG activity represents inhibitory activity acting onto M1 and is most commonly analysed by the size (area) of the suppression.
There exist some evidence that this EMG suppression is solely the result of an increased intracortical inhibition because subthreshold stimulation at a subcortical level failed to induce changes in the EMG 31 and also because subTMS causes a simultaneous inhibition of the agonist and antagonist excluding the influence of spinal reciprocal inhibition 25,27,32. Additionally, recordings from epidural electrodes implanted in the cervical spine showed no responses after subTMS stimulation 14. Finally, direct corticospinal projections seem to play an important role when using subthreshold TMS as Butler et al.33 demonstrated that the onset of the EMG suppression can be observed already after only 20 ms after the TMS stimulation.
Together with the results of the current study it seems very likely that force and position information are differently integrated within the central nervous system leading to a different activation of the primary motor cortex. This is further supported by the findings of the current study showing a shorter time to fatigue of the sustained contraction when interpreting the feedback as position feedback compared to force feedback conditions and to the control where no instruction about the source of the feedback was given resulting in no difference in the time to fatigue.
<img alt="Figure 1" src="/files/ftp_upload/53291/53291fig1.jpg" /> 
Figure 1. Time to Fatigue of Sustained Contractions. Representative data from one subject from each group (fF-pF and CON group) displaying their time to fatigue of the sustained contractions. From left to right the figure shows that as soon as the subject from the fF group received force feedback, the time to fatigue was longer compared to when the subject believed he/she was receiving position feedback (tricked). The second graph from a subject of the pF group shows that as soon as the subject interpreted the feedback as force feedback (tricked), the time to fatigue was longer compared to when the subject received position feedback. The last graph shows that without any instruction about the source of the feedback, the subject from the CON group displayed no difference in the time to fatigue. <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/53291/53291fig1large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 2" src="/files/ftp_upload/53291/53291fig2.jpg" /> 
Figure 2. EMG Activity in the Course of the Sustained Contractions. Representative data from one subject from each group (fF-pF and CON group) displaying an increase in the EMG activity from the start to the end of the contraction. This was independent whether the subjects always received force feedback (fF group, A) and believed in half of the trials that they were receiving position feedback, or if the subjects always received position feedback (pF group, B) and believed in half of their trials that they were receiving force feedback or when they were not informed about the nature of the signal (CON group, C). <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/53291/53291fig2large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 3" src="/files/ftp_upload/53291/53291fig3.jpg" /> 
Figure 3. TMS evoked EMG suppression. The right panels show the EMG suppression during the force and the position controlled contraction for the fF group (A), the pF group (B) and the CON group (C). In all three representative subjects, the stimulation with subTMS resulted in a suppression of the EMG activity which was greater when the subject from the fF group believed that they were receiving position feedback (red line) compared to the trail where the subjects received force feedback (A, blue line), when the subject from the pF group actually received position feedback (red line) compared to when the subject believed that he/she was receiving force feedback (B, blue line). When no information was given there was no difference (blue force control, red position control) between the EMG suppression in the subjects from the CON group (C). The right panel are enlarged images of the same EMG traces as in the left side of the figure highlighting the difference in EMG suppression by the grey shaded area. <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/53291/53291fig3large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 4" src="/files/ftp_upload/53291/53291fig4.jpg" /> 
Figure 4. TMS Evoked EMG Suppression - Group Data. In the pf- (A) and the fF- (B) groups, the stimulation with subTMS resulted in a greater suppression during the position controlled task compared to the force controlled task. When no information was given there was no difference in the EMG suppression (C). Error bars indicate standard error of the mean. <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/53291/53291fig4large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>

Watch this Scientific Journal Video about Force and Position Control in Humans - The Role of Augmented Feedback at JoVE.com

Force and Position Control in Humans - The Role of Augmented Feedback

Controlling an identical movement with position or force feedback results in different neural activation and motor behavior. This protocol describes how to investigate behavioral changes by looking at neuromuscular fatigue and how to evaluate motor cortical (inhibitory) activity using subthreshold TMS with respect to the interpretation of augmented feedback.

During motor behaviour, humans interact with the environment by for example manipulating objects and this is only possible because sensory feedback is ...

force-and-position-control-in-humans-the-role-of-augmented-feedback

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7.7K Views.  University of Freiburg. Controlling an identical movement with position or force feedback results in different neural activation and motor behavior. This protocol describes how to investigate behavioral changes by looking at neuromuscular fatigue and how to evaluate motor cortical (inhibitory) activity using subthreshold TMS with respect to the interpretation of augmented feedback. 

Video: Force and Position Control in Humans - The Role of Augmented Feedback

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Microinjecting recombinant adenoassociated viral (rAAV) vectors expressing Cre recombinase into distinct mouse brain regions to selectively knockout genes of interest allows for enhanced temporally- and regionally-specific control of gene deletion, compared to existing methods. While conditional deletion can also be achieved by mating mice that express Cre recombinase under the control of specific gene promoters with mice carrying a floxed gene, stereotaxic microinjection allows for targeting of discrete brain areas at experimenter-determined time points of interest. In the context of cocaine conditioned place preference, and other cocaine behavioral paradigms such as self-administration or psychomotor sensitization that can involve withdrawal, extinction and/or reinstatement phases, this technique is particularly useful in exploring the unique contribution of target genes to these distinct phases of behavioral models of cocaine-induced plasticity. Specifically, this technique allows for selective ablation of target genes during discrete phases of a behavior to test their contribution to the behavior across time. Ultimately, this understanding allows for more targeted therapeutics that are best able to address the most potent risk factors that present themselves during each phase of addictive behavior.

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Microinjecting recombinant adenoassociated viral (rAAV) vectors expressing Cre recombinase into distinct mouse brain regions to selectively knockout genes ...

Studying Food Reward and Motivation in Humans

A key challenge in studying reward processing in humans is to go beyond subjective self-report measures and quantify different aspects of reward such as hedonics, motivation, and goal value in more objective ways. This is particularly relevant for the understanding of overeating and obesity as well as their potential treatments. In this paper are described a set of measures of food-related motivation using handgrip force as a motivational measure. These methods can be used to examine changes in food related motivation with metabolic (satiety) and pharmacological manipulations and can be used to evaluate interventions targeted at overeating and obesity. However to understand food-related decision making in the complex food environment it is essential to be able to ascertain the reward goal values that guide the decisions and behavioral choices that people make. These values are hidden but it is possible to ascertain them more objectively using metrics such as the willingness to pay and a method for this is described. Both these sets of methods provide quantitative measures of motivation and goal value that can be compared within and between individuals.

This article describes a set of methods for the measurement of food related motivation and food related goal values in humans.

A key challenge in studying reward processing in humans is to go beyond subjective self-report measures and quantify different aspects of reward such as ...

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Attention control is the ability to selectively attend to some sensory signals while ignoring others. This ability is thought to involve two processes: enhancement of sensory signals that are to be attended and the attenuation of sensory signals that are to be ignored. The overall strength of attentional modulation is often measured by comparing the amplitude of a sensory neural response to an external input when attended versus when ignored. This method is robust for detecting attentional modulation, but precludes the ability to assess the separate dynamics of attending and ignoring processes. Here, we describe methodology to measure independently the neurophysiological signals of attending and ignoring using the intermodal attention task (IMAT). This task, when combined with electroencephalography, isolates neurophysiological sensory responses in auditory and visual modalities, when either attending or ignoring, with respect to a passive control. As a result, independent dynamics of attending and of a ignoring can be assessed in either modality. Our results using this task indicate that the timing and cortical sources of attending and ignoring effects differ, as do their contributions to the attention modulation effect, pointing to unique neural trajectories and demonstrating sample utility of measuring them separately.

Attention control comprises enhancement of target signals and attenuation of distractor signals. We describe an approach to measure separately but concurrently, the neurophysiology of attending and ignoring in sustained intermodal attention, utilizing a passive control condition during which neither process is continuously engaged.

Attention control is the ability to selectively attend to some sensory signals while ignoring others. This ability is thought to involve two processes: ...

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans

In spite of the success in applying non-invasive electroencephalography (EEG), magneto-encephalography (MEG) and functional magnetic resonance imaging (fMRI) for extracting crucial information about the mechanism of the human brain, such methods remain insufficient to provide information about physiological processes reflecting cognitive and emotional functions at the subcortical level. In this respect, modern invasive clinical approaches in humans, such as deep brain stimulation (DBS), offer a tremendous possibility to record subcortical brain activity, namely local field potentials (LFPs) representing coherent activity of neural assemblies from localized basal ganglia or thalamic regions. Notwithstanding the fact that invasive approaches in humans are applied only after medical indication and thus recorded data correspond to altered brain circuits, valuable insight can be gained regarding the presence of intact brain functions in relation to brain oscillatory activity and the pathophysiology of disorders in response to experimental cognitive paradigms. In this direction, a growing number of DBS studies in patients with Parkinson&#39;s disease (PD) target not only motor functions but also higher level processes such as emotions, decision-making, attention, memory and sensory perception. Recent clinical trials also emphasize the role of DBS as an alternative treatment in neuropsychiatric disorders ranging from obsessive compulsive disorder (OCD) to chronic disorders of consciousness (DOC). Consequently, we focus on the use of combined invasive (LFP) and non-invasive (EEG) human brain recordings in assessing the role of cortical-subcortical structures in cognitive and emotional processing trough experimental paradigms (e.g. speech stimuli with emotional connotation or paradigms of cognitive control such as the Flanker task), for patients undergoing DBS treatment.

The present protocol aims at assessing cognitive-emotional functions in the basal ganglia by simultaneous neurophysiological recording of local field potentials and non-invasive brain cortical activity (EEG). The procedure is exemplified by the use of paradigms involving speech stimuli with emotional connotation or the Flanker task involving cognitive control.

In spite of the success in applying non-invasive electroencephalography (EEG), magneto-encephalography (MEG) and functional magnetic resonance imaging ...

A Protocol of Manual Tests to Measure Sensation and Pain in Humans

Numerous qualitative and quantitative techniques can be used to test sensory nerves and pain in both research and clinical settings. The current study demonstrates a quantitative sensory testing protocol using techniques to measure tactile sensation and pain threshold for pressure and heat using portable and easily accessed equipment. These techniques and equipment are ideal for new laboratories and clinics where cost is a concern or a limiting factor. We demonstrate measurement techniques for the following: cutaneous mechanical sensitivity on the arms and legs (von-Frey filaments), radiant and contact heat sensitivity (with both threshold and qualitative assessments using the Visual Analog Scale (VAS)), and mechanical pressure sensitivity (algometer, with both threshold and the VAS). The techniques and equipment described and demonstrated here can be easily purchased, stored, and transported by most clinics and research laboratories around the world. A limitation of this approach is a lack of automation or computer control. Thus, these processes can be more labor intensive in terms of personnel training and data recording than the more sophisticated equipment. We provide a set of reliability data for the demonstrated techniques. From our description, a new laboratory should be able to set up and run these tests and to develop their own internal reliability data.

The goal of this procedure is to demonstrate a battery of quantitative techniques for sensory and pain measurement in humans. The equipment and techniques described are commonly found in pain clinics or are easy to obtain.

Numerous qualitative and quantitative techniques can be used to test sensory nerves and pain in both research and clinical settings. The current study ...

A Behavioral Assay for Investigating the Role of Spatial Memory During Instinctive Defense in Mice

Evolution has selected a repertoire of defensive behaviors that are essential for survival across all animal species. These behaviors are often stereotyped actions elicited in response to innately aversive sensory stimuli, but their success requires enough flexibility for adapting to different spatial environments, which can change rapidly. Here, we describe a behavioral assay to evaluate the influence of learned spatial knowledge on defensive behaviors in mice. We have adapted the widely used Barnes maze spatial memory assay to investigate how mice navigate to a shelter during escape responses to innately aversive sensory stimuli in a novel environment, and how they adapt to acute changes in the environment. This new assay is an ethological paradigm that does not require training and exploits the natural exploration patterns and navigation strategies in mice. We propose that the set of protocols described here are a powerful means of studying goal-directed behaviors and stimulus-triggered navigation, which should be of interest to both the fields of instinctive behaviors and spatial memory.

This protocol describes a behavioral assay, based on the Barnes maze test, to study how instinctive defensive actions are modified by the knowledge of spatial environment.

Evolution has selected a repertoire of defensive behaviors that are essential for survival across all animal species. These behaviors are often ...

Control of Eating Behavior Using a Novel Feedback System

Subjects eat food from a plate that sits on a scale connected to a computer that records the weight loss of the plate during the meal and makes up a curve of food intake, meal duration and rate of eating modeled by a quadratic equation. The purpose of the method is to change eating behavior by providing visual feedback on the computer screen that the subject can adapt to because her/his own rate of eating appears on the screen during the meal. The data generated by the method is automatically analyzed and fitted to the quadratic equation using a custom made algorithm. The method has the advantage of recording eating behavior objectively and offers the possibility of changing eating behavior both in experiments and in clinical practice. A limitation may be that experimental subjects are affected by the method. The same limitation may be an advantage in clinical practice, as eating behavior is more easily stabilized by the method. A treatment that uses this method has normalized body weight and restored the health of several hundred patients with anorexia nervosa and other eating disorders and has reduced the weight and improved the health of severely overweight patients.

Subjects eat food from a plate placed on a scale connected to a computer that records the weight loss of the plate during the meal. Feedback on the computer screen allows the subject to adapt her/his eating behavior to reference curves thus normalizing body weight.

Subjects eat food from a plate that sits on a scale connected to a computer that records the weight loss of the plate during the meal and makes up a curve ...

A Vibrotactile Feedback Device for Seated Balance Assessment and Training

Postural perturbations, motion tracking, and sensory feedback are modern techniques used to challenge, assess, and train upright sitting, respectively. The goal of the developed protocol is to construct and operate a sitting platform that can be passively destabilized while an inertial measurement unit quantifies its motion and vibrating elements deliver tactile feedback to the user. Interchangeable seat attachments alter the stability level of the device to safely challenge sitting balance. A built-in microcontroller allows fine-tuning of the feedback parameters to augment sensory function. Posturographic measures, typical of balance assessment protocols, summarize the motion signals acquired during timed balance trials. No dynamic sitting protocol to date provides variable challenge, quantification, and sensory feedback free of laboratory constraints. Our results demonstrate that non-disabled users of the device exhibit significant changes in posturographic measures when balance difficulty is altered or vibrational feedback provided. The portable, versatile device has potential applications in rehabilitation (following skeletal, muscular, or neurological injury), training (for sports or spatial awareness), entertainment (via virtual or augmented reality), and research (of sitting-related disorders).

A sitting platform has been developed and assembled that passively destabilizes sitting posture in humans. During the user&#39;s stabilizing task, an inertial measurement unit records the device&#39;s motion, and vibrating elements deliver performance-based feedback to the seat. The portable, versatile device may be used in rehabilitation, assessment, and training paradigms.

Postural perturbations, motion tracking, and sensory feedback are modern techniques used to challenge, assess, and train upright sitting, respectively. ...

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans

"Affective" touch is believed to be processed in a manner distinct from discriminatory touch and to involve activation of C-tactile (CT) afferent fibers. Touch that optimally activates CT fibers is consistently rated as hedonically pleasant. Patient groups with impaired social-emotional functioning also show disordered affective touch ratings. However, relying on self-reported ratings of touch has many limitations, including recall bias and communication barriers. Here, we describe a methodological approach to study affective responses to touch via facial electromyography (EMG) that circumvents the reliance on self-report ratings. Facial EMG is an objective, quantitative, and non-invasive method to measure facial muscle activity indicative of affective responses. Responses can be assessed across healthy and patient populations without the need for verbal communication. Here, we provide two separate datasets demonstrating that CT-optimal and non-optimal touch elicit distinct facial muscle reactions. Moreover, facial EMG responses are consistent across stimulus modalities, e.g. tactile (experienced touch) and visual (observed touch). Finally, the temporal resolution of facial EMG can detect responses on timescales that supersede that of verbal reporting. Together, our data suggest that facial EMG is a suitable methodology for use in affective tactile research that can be used to supplement, or in some cases, supplant, existing measures.

We describe a protocol to assess facial muscle activity in response to experienced and observed tactile stimulation using facial electromyography.

"Affective" touch is believed to be processed in a manner distinct from discriminatory touch and to involve activation of C-tactile (CT) afferent fibers. ...

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Assessing infant category learning is a challenging but vital aspect of studying infant cognition. By employing a familiarization-test paradigm, we straightforwardly measure infants&#8217; success in learning a novel category while relying only on their looking behavior. Moreover, the paradigm can directly measure the impact of different auditory signals on the infant categorization across a range of ages. For instance, we assessed how 2-year-olds learn categories in a variety of labeling environments: in our task, 2-year-olds successfully learned categories when all exemplars were labeled&#160;or the first two exemplars were labeled, but they failed to categorize when no exemplars were labeled or only the final two exemplars were labeled. To determine infants&#8217; success in such tasks, researchers can examine both the overall preference displayed by infants in each condition and infants&#8217; pattern of looking over the course of the test phase, using an eye-tracker to provide fine-grained time-course data. Thus, we present a powerful paradigm for identifying the role of language, or any auditory signal, in infants&#8217; object category learning.

Here we present a protocol for familiarization-test paradigms which provide a direct test of infant categorization and help to define the role of language in early category learning.

Assessing infant category learning is a challenging but vital aspect of studying infant cognition. By employing a familiarization-test paradigm, we ...