37 research outputs found

    A Robust Encoding Scheme for Delivering Artificial Sensory Information via Direct Brain Stimulation

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    Innovations for creating somatosensation via direct electrical stimulation of the brain will be required for the next generation of bi-directional cortical neuroprostheses. The current lack of tactile perception and proprioceptive input likely imposes a fundamental limit on speed and accuracy of brain-controlled prostheses or re-animated limbs. This study addresses the unique challenge of identifying a robust, high bandwidth sensory encoding scheme in a high-dimensional parameter space. Previous studies demonstrated single dimensional encoding schemes delivering low bandwidth sensory information, but no comparison has been performed across parameters, nor with update rates suitable for real-time operation of a neuroprosthesis. Here, we report the first comprehensive measurement of the resolution of key stimulation parameters such as pulse amplitude, pulse width, frequency, train interval and number of pulses. Surprisingly, modulation of stimulation frequency was largely undetectable. While we initially expected high frequency content to be an ideal candidate for passing high throughput sensory signals to the brain, we found only modulation of very low frequencies were detectable. Instead, the charge-per-phase of each pulse yields the highest resolution sensory signal, and is the key parameter modulating perceived intensity. The stimulation encoding patterns were designed for high-bandwidth information transfer that will be required for bi-directional brain interfaces. Our discovery of the stimulation features which best encode perceived intensity have significant implications for design of any neural interface seeking to convey information directly to the brain via electrical stimulation

    A Robust Encoding Scheme for Delivering Artificial Sensory Information via Direct Brain Stimulation

    Get PDF
    Innovations for creating somatosensation via direct electrical stimulation of the brain will be required for the next generation of bi-directional cortical neuroprostheses. The current lack of tactile perception and proprioceptive input likely imposes a fundamental limit on speed and accuracy of brain-controlled prostheses or re-animated limbs. This study addresses the unique challenge of identifying a robust, high bandwidth sensory encoding scheme in a high-dimensional parameter space. Previous studies demonstrated single dimensional encoding schemes delivering low bandwidth sensory information, but no comparison has been performed across parameters, nor with update rates suitable for real-time operation of a neuroprosthesis. Here, we report the first comprehensive measurement of the resolution of key stimulation parameters such as pulse amplitude, pulse width, frequency, train interval and number of pulses. Surprisingly, modulation of stimulation frequency was largely undetectable. While we initially expected high frequency content to be an ideal candidate for passing high throughput sensory signals to the brain, we found only modulation of very low frequencies were detectable. Instead, the charge-per-phase of each pulse yields the highest resolution sensory signal, and is the key parameter modulating perceived intensity. The stimulation encoding patterns were designed for high-bandwidth information transfer that will be required for bi-directional brain interfaces. Our discovery of the stimulation features which best encode perceived intensity have significant implications for design of any neural interface seeking to convey information directly to the brain via electrical stimulation

    A spring in your step: some is good, more is not always better

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    Understanding upper extremity home programs and the use of gaming technology for persons after stroke

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    Background Many persons post-stroke continue to have difficulty using their more involved upper extremity and home programs may be poorly adhered to limiting the amount of practice an individual receives. More information on the experience of traditional home program and the acceptability of a novel home intervention was sought. Objective To qualitatively describe 1) upper extremity use at home, 2) previous home exercise or activity programs, and 3) the acceptability of a novel upper extremity home program, NeuroGame Therapy (NGT), that combines surface electromyography (sEMG) biofeedback and a commercial computer game. Methods A purposeful sample of ten persons with moderate to severe upper extremity motor impairment used the NGT intervention in their home for four weeks and completed nested (pre and post) one-on-one interviews. Written transcripts from the interviews were coded and themes were identified to address stated objectives. Results Participants reported that while use of their upper extremity in daily activities was recommended it occurred infrequently. Most participants described previous home programs as being non-specific, were often not carried out as recommended or were self-modified. Participants found NGT to be engaging and motivating, but reported minimal changes in the functional uses of their upper extremity. Conclusion These findings suggest that after stroke upper extremity use may be infrequent and home program approaches could be re-examined. NGT was reported to be an acceptable home intervention, but it will require further development and study to understand its value and role in post-stroke rehabilitation

    Increased anatomical specificity of neuromodulation via modulated focused ultrasound.

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    Transcranial ultrasound can alter brain function transiently and nondestructively, offering a new tool to study brain function now and inform future therapies. Previous research on neuromodulation implemented pulsed low-frequency (250-700 kHz) ultrasound with spatial peak temporal average intensities (ISPTA) of 0.1-10 W/cm(2). That work used transducers that either insonified relatively large volumes of mouse brain (several mL) with relatively low-frequency ultrasound and produced bilateral motor responses, or relatively small volumes of brain (on the order of 0.06 mL) with relatively high-frequency ultrasound that produced unilateral motor responses. This study seeks to increase anatomical specificity to neuromodulation with modulated focused ultrasound (mFU). Here, 'modulated' means modifying a focused 2-MHz carrier signal dynamically with a 500-kHz signal as in vibro-acoustography, thereby creating a low-frequency but small volume (approximately 0.015 mL) source of neuromodulation. Application of transcranial mFU to lightly anesthetized mice produced various motor movements with high spatial selectivity (on the order of 1 mm) that scaled with the temporal average ultrasound intensity. Alone, mFU and focused ultrasound (FUS) each induced motor activity, including unilateral motions, though anatomical location and type of motion varied. Future work should include larger animal models to determine the relative efficacy of mFU versus FUS. Other studies should determine the biophysical processes through which they act. Also of interest is exploration of the potential research and clinical applications for targeted, transcranial neuromodulation created by modulated focused ultrasound, especially mFU's ability to produce compact sources of ultrasound at the very low frequencies (10-100s of Hertz) that are commensurate with the natural frequencies of the brain
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