Biology subjects

Christopoulos, V. N.

Publications and source records attributed to Christopoulos, V. N..

3 recordsLinked to original sources

bioRxiv2024

Human spinal cord activation during filling and emptying of the bladder

Recording neural activity from the spinal cord is crucial for gaining insights into how it functions. However, the neural activity of the human spinal cord is notoriously difficult to measure. The bony and fascial enclosures combined with the relatively small anatomic size of the spinal cord make it an unfavorable target for traditional functional neuroimaging techniques. Functional ultrasound imaging (fUSI) is an emerging neuroimaging technology that represents a new platform for studying large-scale neural dynamics with high sensitivity, spatial coverage and spatiotemporal resolution. Although it was originally developed for studying brain function, fUSI was recently extended for imaging the spinal cord in animals and humans. While these studies are significant, their primary focus is on the neuroactivation of the spinal cord in response to external sensory stimulations. Here, we combined fUSI with urodynamically-controlled bladder filling and emptying to characterize the hemodynamic response of the human spinal cord during the micturition cycle. Our findings provide the first practical evidence of the existence of bladder pressure-responsive regions, whose hemodynamic signal is strongly correlated with the bladder pressure.

neuroscience↗

bioRxiv2022

Decoding Motor Plans Using a Closed-Loop Ultrasonic Brain-Machine Interface

Brain-machine interfaces (BMIs) can be transformative for people living with chronic paralysis. BMIs translate brain signals into computer commands, bypassing neurological impairments and enabling people with neurological injury or disease to control computers, robots, and more with nothing but thought. State-of-the-art BMIs have already made this future a reality in limited clinical trials. However, high performance BMIs currently require highly invasive electrodes in the brain. Device degradation limits longevity to about 5 years. Their field of view is small, restricting the number, and type, of applications possible. The next generation of BMI technology should include being longer lasting, less invasive, and scalable to sense activity from large regions of the brain. Functional ultrasound neuroimaging is a recently developed technique that meets these criteria. In this present study, we demonstrate the first online, closed-loop ultrasonic brain-machine interface. We used 2 Hz real-time functional ultrasound to measure the neurovascular activity of the posterior parietal cortex in two nonhuman primates (NHPs) as they performed memory-guided movements. We streamed neural signals into a classifier to predict the intended movement direction. These predictions controlled a behavioral task in real-time while the NHP did not produce overt movements. Both NHPs quickly succeeded in controlling up to eight independent directions using the BMI. Furthermore, we present a simple method to "pretrain" the BMI using data from previous sessions. This enables the BMI to work immediately from the start of a session without acquiring extensive additional training data. This work establishes, for the first time, the feasibility of an ultrasonic BMI and prepares for future work on a next generation of minimally invasive BMIs that can restore function to patients with neurological, physical, or even psychiatric impairments.

neuroscience↗

bioRxiv2020

Single Trial Decoding of Movement Intentions Using Functional Ultrasound Neuroimaging

Brain-machine interfaces (BMI) are powerful devices for restoring function to people living with paralysis. Leveraging significant advances in neurorecording technology, computational power, and understanding of the underlying neural signals, BMI have enabled severely paralyzed patients to control external devices, such as computers and robotic limbs. However, high-performance BMI currently require highly invasive recording techniques, and are thus only available to niche populations. Here, we show that a minimally invasive neuroimaging approach based on functional ultrasound (fUS) imaging can be used to detect and decode movement intention signals usable for BMI. We trained non-human primates to perform memory-guided movements while using epidural fUS imaging to record changes in cerebral blood volume from the posterior parietal cortex - a brain area important for spatial perception, multisensory integration, and movement planning. Using hemodynamic signals acquired during movement planning, we classified left-cued vs. right-cued movements, establishing the feasibility of ultrasonic BMI. These results demonstrate the ability of fUS-based neural interfaces to take advantage of the excellent spatiotemporal resolution, sensitivity, and field of view of ultrasound without breaching the dura or physically penetrating brain tissue.

neuroscience↗