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Electrocorticographic Dynamics Predict Visually Guided Motor Imagery of Grasp Shaping
[article]
2017
arXiv
pre-print
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Further, we can predict the stage of grasp shaping in the form of elapsed time from start of trial (R2=0.4). ...
Identification of intended movement type and movement phase of hand grasp shaping are critical features for the control of volitional neuroprosthetics. ...
However, while direct spectral power changes associated with movement imagery may be small in magnitude in the primary motor cortex, the overall time-varying dynamics of the cortical signal from both motor ...
arXiv:1702.06251v1
fatcat:w4jg5jubtndtbbueodb5cs6jde
Hand posture classification using electrocorticography signals in the gamma band over human sensorimotor brain areas
2013
Journal of Neural Engineering
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Classification rates were 68%, 84% and 81% for correct identification of 5 isometric hand postures offline. ...
We sought to determine if electrocorticographic (ECoG) signals contain sufficient information to select among multiple hand postures for a prosthetic hand, orthotic, or functional electrical stimulation ...
We would like to thank Adam Sachs, Mohammad Dastjerdi, Vinitha Rangarajan for coordinating and assisting during experiments. We thank Sandy Eisensee, and Beverly Davis for administrative support. ...
doi:10.1088/1741-2560/10/2/026002
pmid:23369953
pmcid:PMC3670711
fatcat:nhbqv5truvcybpwel3a3hla3s4
Decoding hand kinematics from population responses in sensorimotor cortex during grasping
[article]
2019
arXiv
pre-print
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2019 pre-print arXiv:1904.03531v1 fatcat:62nvtfmwbjggrbdlcooswkshvy
To fill this gap, we trained three monkeys to grasp objects varying in size, shape and orientation while tracking their hand postures and recording single-unit activity from M1 and SC. ...
We conclude that cortical signals can be used for dexterous hand control in brain machine interface applications and that postural representations in SC may be exploited via intracortical stimulation to ...
Because of the complexity of the space of hand kinematics, most previous efforts to decode hand postures were either discrete, focusing on classification of a finite number of finger-wrist configurations ...
arXiv:1904.03531v2
fatcat:cxproo3bffb43kcvpjyc4schzu
Spectral Power in Marmoset Frontal Motor Cortex during Natural Locomotor Behavior
2020
Cerebral Cortex
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To characterize the role of cortical oscillations in integrating these locomotor demands, we recorded electrocorticographic activity from left dorsal premotor, primary motor, and supplementary motor cortices ...
Animals displayed behavioral adjustments to the task, namely, the horizontal condition mainly induced quadrupedal walk with pronated/neutral forelimb postures, whereas the vertical condition induced walk ...
In a locomotor task, varying substrate orientation drastically modifies body axis orientation as well as hand posture and biomechanics (kinematics, forces, and muscle activity). ...
doi:10.1093/cercor/bhaa275
pmid:33068002
pmcid:PMC7786367
fatcat:ixxiadt2wjcmfjj4auu5payrzm
Oscillatory Activity in Mouse Lemur Primary Motor Cortex During Natural Locomotor Behavior
2021
Frontiers in Systems Neuroscience
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We conducted telemetric recordings of electrocorticographic activity in left primary motor cortex of two mouse lemurs moving on a branch-like small-diameter pole, fixed horizontally, or vertically. ...
Overall, these results confirm that specific cortical mechanisms are solicited during arboreal locomotion, whereby mouse lemurs adjust cortical activity to substrate orientation during static posture and ...
Picq for the identification of cortical regions, and M. Takemi for his assistance in data processing and analysis scripts. ...
doi:10.3389/fnsys.2021.655980
fatcat:jtm7tgfkizcwtokaidltmsr52y
Decoding voluntary movements and postural tremor based on thalamic LFPs for closed-loop stimulation for essential tremor
[article]
2018
bioRxiv
pre-print
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We recorded LFPs from the motor thalamus, surface electromyographic (EMG) signals and/or behavioural measurements in seven ET patients during temporary lead externalization after the first surgery for ...
We show that both voluntary movements and postural tremor can be decoded based on features extracted from thalamic LFPs using a machine learning based binary classifier. ...
Jochen Wirths and Dr.
510 Matthias Runge for DBS-electrode placement surgery on some of the patients. ...
doi:10.1101/436709
fatcat:swpd6os7ufd4hmcv2qlaotrzwm
Decoding Movement From Electrocorticographic Activity: A Review
2019
Frontiers in Neuroinformatics
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During the last two decades, research utilizing ECoG has considerably grown, including the paradigms where behaviorally relevant information is extracted from ECoG activity with decoding algorithms of ...
Several research groups have advanced toward the development of assistive devices driven by brain-computer interfaces (BCIs) that decode motor commands from multichannel ECoG recordings. ...
Xie et al. (2015) decoded different finger and hand movements from ECoG signals recorded intraoperatively in the motor cortex of awake subjects. ...
doi:10.3389/fninf.2019.00074
pmid:31849632
pmcid:PMC6901702
fatcat:gadwyhntarddpl3sckoiuipgvy
Remapping cortical modulation for electrocorticographic brain–computer interfaces: a somatotopy-based approach in individuals with upper-limb paralysis
2018
Journal of Neural Engineering
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ECoG has been proposed as a viable neural recording modality for BCI systems, potentially providing stable, long-term recordings of cortical activity with high spatial and temporal resolution. ...
Electrocorticography (ECoG) uses disc electrodes placed on either the surface of the dura or the cortex to record field potential activity. ...
We thank the support from clinicians and researchers at the University of Pittsburgh and University of Pittsburgh Medical Center (UPMC). We thank our clinical research coordinators, Ms. ...
doi:10.1088/1741-2552/aa9bfb
pmid:29160240
pmcid:PMC5841472
fatcat:ebybqmndrzfedb7vh3pwchaqsa
Sitting and standing intention can be decoded from scalp EEG recorded prior to movement execution
2014
Frontiers in Neuroscience
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We assessed classification accuracy in both externally triggered and self-paced paradigms. Movement onset was determined from electromyography (EMG) recordings synchronized with EEG signals. ...
Low frequency signals recorded from non-invasive electroencephalography (EEG), in particular movement-related cortical potentials (MRPs), are associated with preparation and execution of movement and thus ...
ACKNOWLEDGMENTS The authors thank Recep Ozdemir, Yongtian He and Shahriar Iqbal for assistance during the experiments. ...
doi:10.3389/fnins.2014.00376
pmid:25505377
pmcid:PMC4243562
fatcat:ffvxxz2tbzfezb6xjgqqy57enq
Decoding two-dimensional movement trajectories using electrocorticographic signals in humans
2007
Journal of Neural Engineering
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A common BCI research strategy begins by decoding kinematic parameters from brain signals recorded during actual arm movement. ...
It has been assumed that these parameters can be derived accurately only from signals recorded by intracortical microelectrodes, but the long-term stability of such electrodes is uncertain. ...
We further acknowledge the assistance of Drs Ashley, Dowling and Eisenman in the department of Neurological Surgery, Barnes Jewish Hospital, St Louis, in experiments leading up to the present study. ...
doi:10.1088/1741-2560/4/3/012
pmid:17873429
fatcat:3phxkxh4v5asjepemfxwo6vhli
Tremor: From Pathogenesis to Treatment
2008
Synthesis Lectures on Biomedical Engineering
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Under the same conditions of observation, there is usually little variation in frequency for postural tremor of the hands (usually <0.6 Hz). ...
The delay for disappearance of tremor may vary from days to years. ...
Ask the patient to pour water from one cup to another. Test each hand separately. ...
doi:10.2200/s00129ed1v01y200807bme020
fatcat:vboo54vkffbg3kw7stxjlrvmo4
Cortical control of object-specific grasp relies on adjustments of both activity and effective connectivity: a common marmoset study
2017
Journal of Physiology
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in hand morphology and grip diversity. r We recorded electrocorticographic activity over the sensorimotor cortex of two common marmosets during the execution of different grip types, which allowed us ...
Considering effective connectivity, finger and scissor grips evoked stronger outflow from primary motor to premotor cortex, whereas whole-hand grip displayed the opposite pattern. ...
B, objects presented and hand postures used by the monkey to grasp them. ...
doi:10.1113/jp274629
pmid:28791721
pmcid:PMC5709338
fatcat:n6znty6qnfhr3n2vjp33tdomgi
Brain-computer interface: the future in the present
Интерфейс мозг–компьютер: будущее в настоящем
2016
Bulletin of Russian State Medical University
Интерфейс мозг–компьютер: будущее в настоящем
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Noninvasive BCI are safe to use and easy to implement, but they suffer from signal attenuation by scalp and skin, its contamination with noise and artifacts, and an overall low information transfer rate ...
Invasive BCIs are potentially more powerful because they utilize implanted grids that can both record neural signals in high-resolution and apply stimulation to the nervous tissue locally to deliver information ...
The use of several electrodes enables to stimulate various areas of the nerve; the number of electrodes usually varies from 4 to 22. ...
doi:10.24075/brsmu.2016-02-01
fatcat:arssbfnrnzewjor5xodbpiwds4
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation
2017
Physiological Reviews
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Furthermore, BMIs have also incorporated ways to deliver sensory feedback, generated from external actuators, back to the brain. ...
Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from neurophysiology, computer science, and engineering in an effort to establish real-time bidirectional links between ...
Classification by the Origin of Neural Signal Since the late 1990s when the modern BMI concept and design was introduced, the majority of BMIs have utilized neural signals recorded from cortical areas ...
doi:10.1152/physrev.00027.2016
pmid:28275048
fatcat:26dy2lgh6nfppd3mjgoofyit6u
Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future
2017
Brain-Computer Interfaces
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Topics included BCI for specific populations or applications, advancing BCI research through use of specific signals or technological advances, and translational and commercial issues to bring both implanted ...
, Department of psychology, european medical school, Cluster of excellence Hearing4all, university of oldenburg, oldenburg, Germany; aa Department of Bioengineering, swanson school of engineering, university ...
Acknowledgements
Overall acknowledgements The authors thank the National Institute on Deafness and other Communication Disorders (NIDCD), Eunice Kennedy Shriver National Institute of Child Health & Human ...
doi:10.1080/2326263x.2016.1275488
pmid:29152523
pmcid:PMC5693371
fatcat:ozzkm4mqofa3fcvwuyk5k3vy3i
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