Understanding the neural representation of limb position is important for comprehending the control of limb movements and the maintenance of body schema, as well as for the development of neuroprosthetic systems designed to replace lost limb function. Multiple subcortical and cortical areas contribute to this representation, but its multimodal basis has largely been ignored. Regarding the parietal cortex, previous results suggest that visual information about arm position is not strongly represented in area 5, although these results were obtained under conditions in which animals were not using their arms to interact with objects in their environment, which could have affected the relative weighting of relevant sensory signals. Here we examined the multimodal basis of limb position in the superior parietal lobule (SPL) as monkeys reached to and actively maintained their arm position at multiple locations in a frontal plane. On half of the trials both visual and nonvisual feedback of the endpoint of the arm were available, while on the other trials visual feedback was withheld. Many neurons were tuned to arm position, while a smaller number were modulated by the presence/absence of visual feedback. Visual modulation generally took the form of a decrease in both firing rate and variability with limb vision and was associated with more accurate decoding of position at the population level under these conditions. These findings support a multimodal representation of limb endpoint position in the SPL but suggest that visual signals are relatively weakly represented in this area, and only at the population level.
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http://dx.doi.org/10.1152/jn.00223.2012 | DOI Listing |
A A Pract
January 2025
From the Department of Anesthesia, Indiana University School of Medicine, Indianapolis, Indiana.
Interscalene blocks, commonly used for shoulder surgery analgesia, often cause transient phrenic nerve palsy, leading to hemi-diaphragmatic paresis. This complication is particularly problematic in patients with pulmonary comorbidities and has been extensively investigated. However, its impact on patients with Fontan physiology remains less understood with limited representation in the literature.
View Article and Find Full Text PDFArch Orthop Trauma Surg
December 2024
Department of General Orthopaedics, Auguste-Viktoria-Clinic Bad Oeynhausen, University Hospital of RUB-Bochum, Am Kokturkanal, 32545, Bad Oeynhausen, Germany.
Introduction: Total lower limb arthroplasties are standard orthopedic surgeries that are steadily increasing in modern civilization. In proportion, the number of revision arthroplasties and the corresponding financial burden for healthcare systems will increase. The present clinical investigation analyzed morbidities after aseptic revision knee arthroplasty.
View Article and Find Full Text PDFExp Brain Res
December 2024
Department of Neuromuscular Physiotherapy, Poznan University of Physical Education, Królowej Jadwigi 27/39, Poznan, 61-871, Poland.
This study investigated how the judgment of proximal joint position can be affected by touch alone, focused attention on the distal body part, or touch spatial localization. Participants completed a two-arm elbow joint position-matching task, in which they indicated the location of one forearm by the placement of the other. In four test conditions, matching was performed during (1) detection of touch (tactile stimulation of index finger pads), (2) spatial localization of fingers (attention focused on the position of index finger pads), (3) spatial localization of touch on fingers (attention focused on tactile stimulation of index finger pads), and (4) detection of touch but localization of fingers (tactile stimulation of index finger pads, but attention focusing on the spatial position of the pads).
View Article and Find Full Text PDFJ Neural Eng
December 2024
Institute of Neural Engineering, Graz University of Technology, Stremayrgasse 16/IV, 8010 Graz, Austria.
The complicated processes of carrying out a hand reach are still far from fully understood. In order to further the understanding of the kinematics of hand movement, the simultaneous representation of speed, distance, and direction in the brain is explored.We utilized electroencephalography (EEG) signals and hand position recorded during a four-direction center-out reaching task with either quick or slow speed, near and far distance.
View Article and Find Full Text PDFSensors (Basel)
November 2024
School of Psychology, Shenzhen University, Shenzhen 518060, China.
Decoding lower-limb motor imagery (MI) is highly important in brain-computer interfaces (BCIs) and rehabilitation engineering. However, it is challenging to classify lower-limb MI from electroencephalogram (EEG) signals, because lower-limb motions (LLMs) including MI are excessively close to physiological representations in the human brain and generate low-quality EEG signals. To address this challenge, this paper proposes a multidimensional attention-based convolutional neural network (CNN), termed MACNet, which is specifically designed for lower-limb MI classification.
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