scholarly journals Bimanual coupling effect during a proprioceptive stimulation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
M. Biggio ◽  
A. Bisio ◽  
F. Garbarini ◽  
Marco Bove
Keyword(s):  
Motor Imagery ◽  
Coupling Effect ◽  
Line Drawing ◽  
Proprioceptive Information ◽  
Muscle Vibration ◽  
Imagery Condition ◽  
Left Hand ◽  
Contralateral Hand ◽  
Bimanual Coupling ◽  
The Right

AbstractCircle-line drawing paradigm is used to study bimanual coupling. In the standard paradigm, subjects are asked to draw circles with one hand and lines with the other hand; the influence of the concomitant tasks results in two “elliptical” figures. Here we tested whether proprioceptive information evoked by muscle vibration inducing a proprioceptive illusion (PI) of movement at central level, was able to affect the contralateral hand drawing circles or lines. A multisite 80 Hz-muscle vibration paradigm was used to induce the illusion of circle- and line-drawing on the right hand of 15 healthy participants. During muscle vibration, subjects had to draw a congruent or an incongruent figure with the left hand. The ovalization induced by PI was compared with Real and Motor Imagery conditions, which already have proved to induce bimanual coupling. We showed that the ovalization of a perceived circle over a line drawing during PI was comparable to that observed in Real and Motor Imagery condition. This finding indicates that PI can induce bimanual coupling, and proprioceptive information can influence the motor programs of the contralateral hand.

The learning of novel finger movement sequences

1994 ◽  
Vol 72 (4) ◽  
pp. 1596-1610 ◽  
Author(s):  
A. M. Gordon ◽  
A. Casabona ◽  
J. F. Soechting
Keyword(s):  
Time Course ◽  
Control Level ◽  
Movement Pattern ◽  
Discrete Movements ◽  
Left Hand ◽  
Right Hand ◽  
Contralateral Hand ◽  
The Individual ◽  
Movement Segment ◽  
The Right

1. Experienced typists typed phrases containing words in which one isolated letter was typed with one hand, while the remaining letters were typed with the contralateral hand. 2. The translational and rotational motion of the fingers and wrist of the right hand were obtained optoelectronically from the location of reflective markers placed on the fingers. 3. Midway through the experiment, the key corresponding to the isolated letter was physically switched with another key on the keyboard, and subjects typed the letter in its new location (for 140 trials). The letter “n,” typed with the right index finger, was either switched with letters normally typed with the same finger (u), with a different finger but same hand (o), with the same finger of the left hand (v), or with a different finger of the left hand (w). 4. When the words were typed normally, the interkey intervals were relatively short, and the onset of movement of the right hand began before the preceding keypress with the left hand. Thus the movement of the two hands overlapped. Furthermore, the movement to the isolated key was highly stereotypical, with little trial-to-trial variability. 5. After the transposition of keys, there were prolongations in the interkey intervals, with the largest delay occurring directly before the typing of the transposed key. Switches between homologous fingers (involving mirror movements) delayed the onset of keypresses to a lesser extent than did other switches. With practice, these delays were reduced but never reached the control level. 6. After the keyswitch, the onset of movement to the isolated key did not occur on average until after the last keypress with the contralateral hand, except when the switch involved the use of homologous fingers. In the latter case, overlapping movement of the two hands was maintained. Thus the learning of a series of discrete movements does not necessarily require that each movement segment be performed sequentially. 7. After the transposition of keys, the movement pattern and time course to a given key were similar to the movement patterns for that key observed during control trials in all conditions. Thus the learning of a series of movements may involve the use of previously learned movements under new conditions. 8. The results suggest that typing movements may be organized at several levels, including the individual keystroke and word level.

scholarly journals Interlimb Transfer of Grasp Orientation is Asymmetrical

2006 ◽  
Vol 6 ◽  
pp. 1805-1809 ◽  
Author(s):  
Victor Frak ◽  
D. Bourbonnais ◽  
I. Croteau ◽  
H. Cohen
Keyword(s):  
Motor System ◽  
Hemispheric Asymmetry ◽  
Hand Preference ◽  
Hemispheric Dominance ◽  
Hand Movements ◽  
Left Hand ◽  
Contact Points ◽  
Contralateral Hand ◽  
Human Motor ◽  
The Right

One the most fundamental aspects of the human motor system is the hemispheric asymmetry seen in behavioral specialization. Hemispheric dominance can be inferred by a contralateral hand preference in grasping. Few studies have considered grasp orientation in the context of manual lateralization and none has looked at grasp orientation with natural prehension. Thirty right-handed adults performed precision grasps of a cylinder using the thumb and index fingers, and the opposition axis (OA) was defined as the line connecting these two contact points on the cylinder. Subjects made ten consecutive grasps with one hand (primary hand movements) followed by ten grasps with the other hand (trailing movements). Differences between primary and trailing grasps revealed that each hemisphere is capable of programming the orientation of the OA and that primary movements with the right hand significantly influenced OA orientation of the trailing left hand. These results extend the hemispheric dominance of the left hemisphere to the final positions of fingers during prehension.

Drawing lines while imagining circles: Neural basis of the bimanual coupling effect during motor execution and motor imagery

NeuroImage ◽  
2014 ◽  
Vol 88 ◽  
pp. 100-112 ◽  
Author(s):  
Francesca Garbarini ◽  
Federico D'Agata ◽  
Alessandro Piedimonte ◽  
Katiuscia Sacco ◽  
Marco Rabuffetti ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Coupling Effect ◽  
Motor Execution ◽  
Neural Basis ◽  
Bimanual Coupling

scholarly journals Integration of Proprioceptive and Visual Position-Information: An Experimentally Supported Model

1999 ◽  
Vol 81 (3) ◽  
pp. 1355-1364 ◽  
Author(s):  
Robert J. van Beers ◽  
Anne C. Sittig ◽  
Jan J. Denier van der Gon
Keyword(s):  
Visual Information ◽  
The Body ◽  
The Other ◽  
Proprioceptive Information ◽  
Position Information ◽  
Left Hand ◽  
The Mean ◽  
The Right ◽  
Variable Errors ◽  
Available Information

Integration of proprioceptive and visual position-information: an experimentally supported model. To localize one’s hand, i.e., to find out its position with respect to the body, humans may use proprioceptive information or visual information or both. It is still not known how the CNS combines simultaneous proprioceptive and visual information. In this study, we investigate in what position in a horizontal plane a hand is localized on the basis of simultaneous proprioceptive and visual information and compare this to the positions in which it is localized on the basis of proprioception only and vision only. Seated at a table, subjects matched target positions on the table top with their unseen left hand under the table. The experiment consisted of three series. In each of these series, the target positions were presented in three conditions: by vision only, by proprioception only, or by both vision and proprioception. In one of the three series, the visual information was veridical. In the other two, it was modified by prisms that displaced the visual field to the left and to the right, respectively. The results show that the mean of the positions indicated in the condition with both vision and proprioception generally lies off the straight line through the means of the other two conditions. In most cases the mean lies on the side predicted by a model describing the integration of multisensory information. According to this model, the visual information and the proprioceptive information are weighted with direction-dependent weights, the weights being related to the direction-dependent precision of the information in such a way that the available information is used very efficiently. Because the proposed model also can explain the unexpectedly small sizes of the variable errors in the localization of a seen hand that were reported earlier, there is strong evidence to support this model. The results imply that the CNS has knowledge about the direction-dependent precision of the proprioceptive and visual information.

scholarly journals Classification of Motor Imagery EEG Based on Sparsification and Non-negative Matrix Factorization

2018 ◽  
Vol 160 ◽  
pp. 07007 ◽  
Author(s):  
Jing Su ◽  
Zuyuan Yang ◽  
Haiping Wang ◽  
Wei Han
Keyword(s):  
Motor Imagery ◽  
Matrix Factorization ◽  
Biomedical Signal Processing ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Left Hand ◽  
The Matrix ◽  
Band Pass ◽  
The Right ◽  
Non Negative Matrix Factorization

The analysis of EEG is a hot topic in the area of biomedical signal processing. In this paper, the EEG signals with Mu (Μ) rhythm and Beta (Β) rhythm are used to solve the motor imagery problem, i.e., the imagery of the left hand and the right hand. The collected raw data is first filtered by FIR band-pass filter, followed by using the maximization of feature difference to increase the sparsity of the matrix. Then, to reduce the redundant information of these features, a non-negative matrix factorization (NMF) method is employed. Due to the usage of the NMF scheme, the obtained factorizations has been better class property. Simulations show that our method achieves higher classification accuracy (more than 91%) than existing results (about 86%).

scholarly journals Dissociable roles of preSMA in motor sequence chunking and hand switching—a TMS study

2016 ◽  
Vol 116 (6) ◽  
pp. 2637-2646 ◽  
Author(s):  
Diana Muessgens ◽  
Nivethida Thirugnanasambandam ◽  
Hitoshi Shitara ◽  
Traian Popa ◽  
Mark Hallett
Keyword(s):  
Response Times ◽  
Response Selection ◽  
Motor Sequence ◽  
Left Hand ◽  
Relative Contribution ◽  
Right Hand ◽  
Contralateral Hand ◽  
The Right ◽  
Subsequent Task

Motor chunking, the grouping of individual movements into larger units, is crucial for sequential motor performance. The presupplementary motor area (preSMA) is involved in chunking and other related processes such as task switching, response selection, and response inhibition that are crucial for organizing sequential movements. However, previous studies have not systematically differentiated the role of preSMA in motor chunking and hand switching, thus leaving its relative contribution to each of these processes unclear. The aim of this study is to demonstrate the differential role of preSMA in motor chunking and hand switching. We designed motor sequences in which different kinds of hand switches (switching toward the right or left hand or continuing with the right hand) were counterbalanced across between- and within-chunk sequence points. Eighteen healthy, right-handed participants practiced four short subsequences (chunks) of key presses. In a subsequent task, these chunks had to be concatenated into one long sequence. We applied double-pulse transcranial magnetic stimulation (TMS) over left preSMA or left M1 areas at sequence initiation, between chunks, or within chunks. TMS over the left preSMA significantly slowed the next response when stimulation was given between chunks, but only if a hand switch toward the contralateral (right) hand was required. PreSMA stimulation within chunks did not interfere with responses. TMS over the left M1 area delayed responses with the contralateral hand, both within and between chunks. Both preSMA and M1 stimulation decreased response times at sequence initiation. These results suggest that left preSMA is not necessary for chunking per se, but rather for organizing complex movements that require chunking and hand switching simultaneously.

A Dissociation between the Representation of Tool-use Skills and Hand Dominance: Insights from Left- and Right-handed Callosotomy Patients

2005 ◽  
Vol 17 (2) ◽  
pp. 262-272 ◽  
Author(s):  
Scott H. Frey ◽  
Margaret G. Funnell ◽  
Valerie E. Gerry ◽  
Michael S. Gazzaniga
Keyword(s):  
Left Hemisphere ◽  
Tool Use ◽  
Right Hemisphere ◽  
Hand Dominance ◽  
Conceptual Level ◽  
Left Hand ◽  
Left Handed ◽  
Contralateral Hand ◽  
Left And Right ◽  
The Right

The overwhelming majority of evidence indicates that the left cerebral hemisphere of right-handed humans is dominant both for manual control and the representation of acquired skills, including tool use. It is, however, unclear whether these functions involve common or dissociable mechanisms. Here we demonstrate that the disconnected left hemispheres of both right- and left-handed split-brain patients are specialized for representing acquired tool-use skills. When required to pantomime actions associated with familiar tools (Experiment 2), both patients show a right-hand (left hemisphere) advantage in response to tool names, pictures, and actual objects. Accuracy decreases as stimuli become increasingly symbolic when using the left hand (right hemisphere). Tested in isolation with lateralized pictures (Experiment 3), each patient's left hemisphere demonstrates a significant advantage over the right hemisphere for pantomiming tool-use actions with the contralateral hand. The fact that this asymmetry occurs even in a left-handed patient suggests that the left hemisphere specialization for representing praxis skills can be dissociated from mechanisms involved in hand dominance located in the right hemisphere. This effect is not attributable to differences at the conceptual level, as the left and right hemispheres are equally and highly competent at associating tools with observed pantomimes (Experiment 4).

scholarly journals Visuomotor information drives interference between the hands more than dynamic motor information during bimanual reaching

2021 ◽  
Author(s):  
Phillip C Desrochers ◽  
Alexander T Brunfeldt ◽  
Florian A Kagerer
Keyword(s):  
Brain Regions ◽  
Left Hand ◽  
Bimanual Movements ◽  
Right Hand ◽  
Contralateral Hand ◽  
Motor Information ◽  
The Right ◽  
Neural Crosstalk ◽  
Bimanual Reaching ◽  
Dynamic Perturbation

During complex bimanual movements, interference can occur in the form of one hand influencing the action of the contralateral hand. Interference likely results from conflicting sensorimotor information shared between brain regions controlling hand movements via neural crosstalk. However, how visual and force-related feedback processes interact with each other during bimanual reaching is not well understood. In this study, four groups experienced either a visuomotor perturbation, dynamic perturbation, combined visuomotor and dynamic perturbation, or no perturbation in their right hand during bimanual reaches, with each hand controlling its own cursor. The left hand was examined for interference as a consequence of the right-hand perturbation. The results indicated that the visuomotor and combined perturbations showed greater interference in the left hand than the dynamic perturbation, but that the combined and visuomotor perturbations were equivalent. This suggests that dynamic sensorimotor and visuomotor processes do not interact between hemisphere-hand systems, and that primarily visuomotor processes lead to interference between the hands.

MEP Analysis of Hand Motor Imagery with Bimanual Coordination Under Transcranial Magnetic Stimulation

2016 ◽  
Vol 20 (3) ◽  
pp. 462-466 ◽  
Author(s):  
Kun Wang ◽  
◽  
Zhongpeng Wang ◽  
Peng Zhou ◽  
Hongzhi Qi ◽  
...  
Keyword(s):  
Transcranial Magnetic Stimulation ◽  
Motor Imagery ◽  
Magnetic Stimulation ◽  
Bimanual Coordination ◽  
Bimanual Movement ◽  
Stroke Patients ◽  
Movement Coordination ◽  
Motor Disability ◽  
Contralateral Hand ◽  
The Right

Stroke is one of the leading causes worldwide of motor disability in adults. Motor imagery is a rehabilitation technique for potentially treating the results of stroke. Based on bimanual movement coordination, we designed hand motor imagery experiments. Transcranial magnetic stimulation (TMS) was applied to the left motor cortex to produce motorevoked potentials (MEP) in the first dorsal interosseous (FDI) of the right hand. Ten subjects were required to perform three different motor imagery tasks involving the twisting of a bottle cap. The results showed that contralateral hand imagery evoked the largest MEP, meaning that the brain's motor area was activated the most. This work may prove to be significant as a reference in designing motor imagery therapy protocols for stroke patients.

fMRI-Based Robotic Embodiment: Controlling a Humanoid Robot by Thought Using Real-Time fMRI

2014 ◽  
Vol 23 (3) ◽  
pp. 229-241 ◽  
Author(s):  
Ori Cohen ◽  
Sébastien Druon ◽  
Sébastien Lengagne ◽  
Avi Mendelsohn ◽  
Rafael Malach ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Real Time ◽  
Motor Imagery ◽  
Humanoid Robot ◽  
Input Device ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Natural Manner ◽  
Left Hand ◽  
The Right

We present a robotic embodiment experiment based on real-time functional magnetic resonance imaging (rt-fMRI). In this study, fMRI is used as an input device to identify a subject's intentions and convert them into actions performed by a humanoid robot. The process, based on motor imagery, has allowed four subjects located in Israel to control a HOAP3 humanoid robot in France, in a relatively natural manner, experiencing the whole experiment through the eyes of the robot. Motor imagery or movement of the left hand, the right hand, or the legs were used to control the robotic motions of left, right, or walk forward, respectively.

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