Parietal cortex neurons of the monkey related to the visual guidance of hand movement

1990 ◽  
Vol 83 (1) ◽  
Author(s):  
M. Taira ◽  
S. Mine ◽  
A.P. Georgopoulos ◽  
A. Murata ◽  
H. Sakata
Keyword(s):  
Parietal Cortex ◽  
Hand Movement ◽  
Visual Guidance

Transcranial Magnetic Stimulation Disrupts Eye-Hand Interactions in the Posterior Parietal Cortex

2000 ◽  
Vol 84 (3) ◽  
pp. 1677-1680 ◽  
Author(s):  
Paul Van Donkelaar ◽  
Ji-Hang Lee ◽  
Anthony S. Drew
Keyword(s):  
Transcranial Magnetic Stimulation ◽  
Parietal Cortex ◽  
Magnetic Stimulation ◽  
Posterior Parietal Cortex ◽  
Hand Movement ◽  
Open Loop ◽  
Neurophysiological Studies ◽  
Posterior Parietal ◽  
Hand Coordination

Recent neurophysiological studies have started to shed some light on the cortical areas that contribute to eye-hand coordination. In the present study we investigated the role of the posterior parietal cortex (PPC) in this process in normal, healthy subjects. This was accomplished by delivering single pulses of transcranial magnetic stimulation (TMS) over the PPC to transiently disrupt the putative contribution of this area to the processing of information related to eye-hand coordination. Subjects made open-loop pointing movements accompanied by saccades of the same required amplitude or by saccades that were substantially larger. Without TMS the hand movement amplitude was influenced by the amplitude of the corresponding saccade; hand movements accompanied by larger saccades were larger than those accompanied by smaller saccades. When TMS was applied over the left PPC just prior to the onset of the saccade, a marked reduction in the saccadic influence on manual motor output was observed. TMS delivered at earlier or later periods during the response had no effect. Taken together, these data suggest that the PPC integrates signals related to saccade amplitude with limb movement information just prior to the onset of the saccade.

scholarly journals Cortical Mechanisms for Online Control of Hand Movement Trajectory: The Role of the Posterior Parietal Cortex

2009 ◽  
Vol 19 (12) ◽  
pp. 2848-2864 ◽  
Author(s):  
Philippe S. Archambault ◽  
Roberto Caminiti ◽  
Alexandra Battaglia-Mayer
Keyword(s):  
Parietal Cortex ◽  
Posterior Parietal Cortex ◽  
Hand Movement ◽  
Online Control ◽  
Movement Trajectory ◽  
Posterior Parietal

scholarly journals Visuokinesthetic Perception of Hand Movement is Mediated by Cerebro–Cerebellar Interaction between the Left Cerebellum and Right Parietal Cortex

2008 ◽  
Vol 19 (1) ◽  
pp. 176-186 ◽  
Author(s):  
Nobuhiro Hagura ◽  
Yutaka Oouchida ◽  
Yu Aramaki ◽  
Tomohisa Okada ◽  
Michikazu Matsumura ◽  
...  
Keyword(s):  
Parietal Cortex ◽  
Hand Movement

Dissociation of visual, motor and predictive signals in parietal cortex during visual guidance

10.1038/4594 ◽  
1999 ◽  
Vol 2 (1) ◽  
pp. 88-93 ◽  
Author(s):  
Emad N. Eskandar ◽  
John A. Assad
Keyword(s):  
Parietal Cortex ◽  
Visual Guidance ◽  
Visual Motor

Activity of hand movement-related neuorns in the posterior parietal cortex of monkeys

1987 ◽  
Vol 5 ◽  
pp. S46
Author(s):  
Masato Taira ◽  
Hideo Sakata ◽  
Hidetoshi Shibutani ◽  
Seiichiro Mine ◽  
A.P. Georgopoulos
Keyword(s):  
Parietal Cortex ◽  
Posterior Parietal Cortex ◽  
Hand Movement ◽  
Posterior Parietal

Neural Mechanisms of Visual Guidance of Hand Action in the Parietal Cortex of the Monkey

1995 ◽  
Vol 5 (5) ◽  
pp. 429-438 ◽  
Author(s):  
Hideo Sakata ◽  
Masato Taira ◽  
Akira Murata ◽  
Seiichiro Mine
Keyword(s):  
Parietal Cortex ◽  
Neural Mechanisms ◽  
Visual Guidance ◽  
Hand Action

scholarly journals Enhancing Gesture Decoding Performance Using Signals from Posterior Parietal Cortex: A Stereo-Electroencephalograhy (SEEG) Study

2019 ◽  
Author(s):  
Meng Wang ◽  
Guangye Li ◽  
Shize Jiang ◽  
Zixuan Wei ◽  
Jie Hu ◽  
...  
Keyword(s):  
Parietal Cortex ◽  
Sensorimotor Cortex ◽  
Posterior Parietal Cortex ◽  
Hand Movement ◽  
Functional Independence ◽  
Support Vector ◽  
Visuomotor Task ◽  
Primary Sensorimotor Cortex ◽  
Posterior Parietal ◽  
Decoding Accuracy

AbstractObjectiveHand movement is a crucial function for humans’ daily life. Developing brain-machine interface (BMI) to control a robotic hand by brain signals would help the severely paralyzed people partially regain the functional independence. Previous intracranial electroencephalography (iEEG)-based BMIs towards gesture decoding mostly used neural signals from the primary sensorimotor cortex while ignoring the hand movement related signals from posterior parietal cortex (PPC). Here, we propose combining iEEG recordings from PPC with that from primary sensorimotor cortex to enhance the gesture decoding performance of iEEG-based BMI.ApproachStereoelectroencephalography (SEEG) signals from 25 epilepsy subjects were recorded when they performed a three-class hand gesture task. Across all 25 subjects, we identified 524, 114 and 221 electrodes from three regions of interest (ROIs), including PPC, postcentral cortex (POC) and precentral cortex (PRC), respectively. Based on the time-varying high gamma power (55-150 Hz) of SEEG signal, both the general activation in the task and the fine selectivity to gestures of each electrode in these ROIs along time was evaluated by the coefficient of determination r2. According to the activation along time, we further assessed the first activation time of each ROI. Finally, the decoding accuracy for gestures was obtained by linear support vector machine classifier to comparatively explore if the PPC will assist PRC and POC for gesture decoding.Main ResultsWe find that a majority(L: >60%, R: >40%) of electrodes in all the three ROIs present significant activation during the task. A large scale temporal activation sequence exists among the ROIs, where PPC activates first, PRC second and POC last. Among the activated electrodes, 15% (PRC), 26% (POC) and 4% (left PPC) of electrodes are significantly selective to gestures. Moreover, decoding accuracy obtained by combining the selective electrodes from three ROIs together is 5%, 3.6%, and 8% higher than that from only PRC and POC when decoding features across, before, and after the movement onset, were used.SignificanceThis is the first human iEEG study demonstrating that PPC contains neural information about fine hand movement, supporting the role of PPC in hand shape encoding. Combining PPC with primary sensorimotor cortex can provide more information to improve the gesture decoding performance. Our results suggest that PPC could be a rich neural source for iEEG-based BMI. Our findings also demonstrate the early involvement of human PPC in visuomotor task and thus may provide additional implications for further scientific research and BMI applications.

scholarly journals Effector-dependent modulation of working memory maintenance in posterior parietal cortex

2019 ◽  
Author(s):  
Artur Pilacinski ◽  
Melanie S. Höller-Wallscheid ◽  
Axel Lindner
Keyword(s):  
Working Memory ◽  
Parietal Cortex ◽  
Posterior Parietal Cortex ◽  
Hand Movement ◽  
Related Activity ◽  
Manual Response ◽  
Match To Sample ◽  
Future Behavior ◽  
Posterior Parietal ◽  
Anterior Intraparietal Sulcus

ABSTRACTWorking memory (WM) is the key process linking perception to action. Several lines of research have, accordingly, highlighted WM’s engagement in sensori-motor associations between retrospective stimuli and future behavior. Using human fMRI we investigated whether prior information about the effector used to report in a WM task would have an impact on the way the same sensory stimulus is maintained in memory – even if a behavioral response could not be readily planned. Specifically, we focused on WM-related activity in posterior parietal cortex during the maintenance of spatial items for a subsequent match-to-sample comparison, which was reported either with a verbal or with a manual response. We expected WM activity to be higher for manual response trials, because of posterior parietal cortex’s engagement in both spatial WM and hand movement preparation. Increased fMRI activity for manual response trials in bilateral anterior intraparietal sulcus confirmed our expectations. These results imply that the maintenance of sensory material in WM is optimized for motor context of the upcoming behavioral responses.

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