Dawn M. Taylor

ORCID: 0000-0002-9878-0054
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About
Contact & Profiles
Research Areas
  • Neuroscience and Neural Engineering
  • EEG and Brain-Computer Interfaces
  • Muscle activation and electromyography studies
  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • Neurological disorders and treatments
  • Gaze Tracking and Assistive Technology
  • Heart Rate Variability and Autonomic Control
  • Hyperglycemia and glycemic control in critically ill and hospitalized patients
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Innovations in Medical Education
  • Healthcare Decision-Making and Restraints
  • Artificial Intelligence in Healthcare
  • Vagus Nerve Stimulation Research
  • Photoreceptor and optogenetics research
  • Nerve injury and regeneration
  • Neural and Behavioral Psychology Studies
  • Conducting polymers and applications
  • Intensive Care Unit Cognitive Disorders
  • Motor Control and Adaptation
  • Alcohol Consumption and Health Effects
  • Cognitive Functions and Memory
  • Gastroesophageal reflux and treatments
  • Biomedical and Engineering Education
  • Clinical Laboratory Practices and Quality Control

Louis Stokes Cleveland VA Medical Center
2007-2023

Case Western Reserve University
2012-2023

Cleveland Clinic
2011-2023

Cleveland Clinic Lerner College of Medicine
2018-2023

Neurosciences Institute
2004-2018

University School
2017-2018

Oregon Institute of Technology
2018

Oregon Health & Science University
2018

DEVCOM Army Research Laboratory
2013

MetroHealth Medical Center
2011

Three-dimensional (3D) movement of neuroprosthetic devices can be controlled by the activity cortical neurons when appropriate algorithms are used to decode intended in real time. Previous studies assumed that maintain fixed tuning properties, and subjects who were unaware movements predicted their recorded units. In this study, had real-time visual feedback brain-controlled trajectories. Cell properties changed for movements. By using control track these changes, made long sequences 3D far...

10.1126/science.1070291 article EN Science 2002-06-07

Microwire electrode arrays were implanted in the motor and premotor cortical areas of rhesus macaques. The recorded activity was used to control three-dimensional movements a virtual cursor robotic arm real time. goal move or robot one eight targets. Average information conveyed about intended target calculated from observed trajectories at 30-ms intervals throughout movements. Most within first second movement. For brain-controlled cursor, instantaneous transmission rate its maximum...

10.1109/tnsre.2003.814451 article EN IEEE Transactions on Neural Systems and Rehabilitation Engineering 2003-06-01

Functional electrical stimulation (FES), the coordinated activation of multiple muscles, has been used to restore arm and hand function in people with paralysis. User interfaces for such systems typically derive commands from mechanically unrelated parts body retained volitional control, are unnatural unable simultaneously command various joints arm. Neural interface systems, based on spiking intracortical signals recorded area motor cortex, have shown ability control computer cursors,...

10.1088/1741-2560/8/3/034003 article EN Journal of Neural Engineering 2011-05-05

This study examines the feasibility of using electroencephalograms (EEGs) to rapidly detect intent open one's hand in individuals with complete paralysis following a subcortical ischemic stroke. If detectable, this motor-planning activity could be used real time trigger motorized exoskeleton or an electrical stimulation device that opens/closes hand. While EEG-triggered movement-assist devices restore function, they may also promote recovery by reinforcing use remaining cortical circuits....

10.3389/fnins.2011.00039 article EN cc-by Frontiers in Neuroscience 2011-01-01

BACKGROUND AND OBJECTIVES: Paralysis after spinal cord injury involves damage to pathways that connect neurons in the brain peripheral nerves limbs. Re-establishing this communication using neural interfaces has potential bridge gap and restore upper extremity function people with high tetraplegia. We report a novel approach for restoring selective nerve stimulation controlled by intracortical microelectrode recordings from sensorimotor networks, along restoration of tactile sensation hand...

10.1227/neu.0000000000002769 article EN Neurosurgery 2023-11-20

Abstract Objective: Brain-controlled functional electrical stimulation (FES) of the upper limb has been used to restore arm function paralyzed individuals in lab. Able-bodied naturally modulate stiffness throughout movements and anticipation perturbations. Our goal is develop, via simulation, a framework for incorporating modulation into currently-used ‘lookup-table-based’ FES control systems while addressing several practical issues: 1) optimizing across muscles with overlap function, 2)...

10.1088/1741-2552/adc9e3 article EN Journal of Neural Engineering 2025-04-07

Abstract Obesity remains prevalent in the US. One potential treatment is vagus nerve stimulation (VNS), which activates sensory afferents innervating stomach that convey volume and establish satiety. However, current VNS approaches stimulus optimization could benefit from additional understanding of underlying neural response to distension. In this study, obesity-prone Sprague Dawley rats consumed a standard, high-carbohydrate, or high-fat diet for several months, leading diet-induced...

10.1038/s41598-021-89465-0 article EN cc-by Scientific Reports 2021-05-17

We have recently developed a closed-loop environment in which we can test the ability of primates to control motion virtual device using ensembles simultaneously recorded neurons /29/. Here use maximum likelihood method assess information about task performance contained neuronal ensemble. trained two animals computer cursor three dimensions. Initially controlled arm movements, but eventually they learned drive directly from cortical activity. Using population vector (PV) based upon relation...

10.1515/revneuro.2003.14.1-2.107 article EN Reviews in the Neurosciences 2003-01-01

Neuroinflammatory mechanisms are hypothesized to contribute intracortical microelectrode failures. The cluster of differentiation 14 (CD14) molecule is an innate immunity receptor involved in the recognition pathogens and tissue damage promote inflammation. goal study was investigate effect CD14 inhibition on recording performance integration.Mice implanted with microelectrodes motor cortex underwent electrophysiological characterization for 16 weeks, followed by endpoint histology. Three...

10.1088/1741-2552/aaa03e article EN Journal of Neural Engineering 2017-12-08

Objective. Our goal was to identify spatial filtering methods that would improve decoding of continuous arm movements from epidural field potentials as well demonstrate the use signals in a closed-loop brain–machine interface (BMI) system monkeys. Approach. Eleven options were compared offline using collected 64-channel high-density arrays Arrays placed over arm/hand motor cortex which intracortical microelectrodes had previously been implanted and removed leaving focal cortical damage but...

10.1088/1741-2560/10/3/036015 article EN Journal of Neural Engineering 2013-04-23

Stereoelectroencephalography (SEEG) is becoming more prevalent as a planning tool for surgical treatment of intractable epilepsy. uses long, thin, cylindrical "depth" electrodes containing multiple recording contacts along each electrode's length. Each lead inserted into the brain percutaneously. The advantage SEEG that can easily target deeper structures are inaccessible with subdural grid electrodes, and does not require craniotomy. Brain-machine interface (BMI) research also common in...

10.3171/2013.3.focus1373 article EN Neurosurgical FOCUS 2013-05-31

Arm end-point position, velocity, and the intended final location or 'goal' of a reach have all been decoded from cortical signals for use in brain–machine interface (BMI) applications. These different aspects arm movement can be brain used directly to control goal device. However, these parameters also remapped movement, such as using position hand velocity People easily learn joystick an object videogame. Similarly, BMI systems, could some other aspect device movement. This study evaluates...

10.1088/1741-2560/8/2/025016 article EN Journal of Neural Engineering 2011-03-24

Practical application of intracortical microelectrode technology is currently hindered by the inability to reliably record neuronal signals chronically. The precise mechanism device failure still under debate, but most likely includes some combination tissue reaction, mechanical failure, and chronic material degradation. Impedance a measure ease with which current flows through working electrode driving voltage. has been hypothesized provide information about an electrode's surrounding...

10.1109/embc.2014.6944265 article EN 2014-08-01

Progress has been made in the field of neural interfacing using both mouse and rat models, yet standardization these models’ interchangeability to be established. The model allows for transgenic, optogenetic, advanced imaging modalities which can used examine biological impact failure mechanisms associated with implant itself. ability directly compare electrophysiological data between models is crucial development assessment interfaces. most obvious difference two rodent size, raises concern...

10.3389/fbioe.2020.00416 article EN cc-by Frontiers in Bioengineering and Biotechnology 2020-05-08

Many new assistive devices are available for individuals paralyzed below the neck due to spinal cord injury. Severely must be able command their complex using remaining activity from up. Electromyographic (EMG) sensors enable people use contractions of head and muscles generate multiple proportional signals. Electroencephalographic (EEG) signals can also used commands device control by conveying information about imagined or attempted movements. Fully-implanted wireless biopotential...

10.1109/tnsre.2009.2033428 article EN IEEE Transactions on Neural Systems and Rehabilitation Engineering 2009-10-08

Paralyzed individuals can control the movement of an assistive device using changes in electroencephalographic (EEG) power resulting from attempted movements. Simultaneous, proportional two-dimensional (2D) movements be achieved with concurrent modulation brain activity that is associated and rest two independent body parts. Movement may improved by spatial filtering methods recombine raw EEGs to form new signals more focused information about underlying activity. This study compared filters...

10.1088/1741-2560/8/4/046022 article EN Journal of Neural Engineering 2011-06-28

Brain-computer interface (BCI) systems have been developed to provide paralyzed individuals the ability command movements of an assistive device using only their brain activity. BCI are typically tested in a controlled laboratory environment were user is focused solely on brain-control task. However, for practical use everyday life people must be able brain-controlled while mentally engaged with cognitive responsibilities daily activities and compensating any inherent dynamics itself. BCIs...

10.1186/1743-0003-10-116 article EN cc-by Journal of NeuroEngineering and Rehabilitation 2013-01-01

Paralysis after spinal cord injury involves damage to pathways that connect neurons in the brain peripheral nerves limbs. Re-establishing this communication using neural interfaces has potential bridge gap and restore upper extremity function people with high tetraplegia.

10.1101/2023.04.24.23288977 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2023-04-26

Movement-assist devices such as neuromuscular stimulation systems can be used to generate movements in people with chronic hand paralysis due stroke. If detectable, motor planning activity the cortex could real time trigger a movement-assist device and restore person's ability perform many of activities daily living. Additionally, re-coupling assisted movement generation periphery may provide an even greater benefit—strengthening relevant synaptic connections over promote natural recovery....

10.1088/1741-2560/8/4/046003 article EN Journal of Neural Engineering 2011-05-27

Decoding algorithms for brain-machine interfacing (BMI) are typically only optimized to reduce the magnitude of decoding errors. Our goal was systematically quantify how four characteristics BMI command signals impact closed-loop performance: (1) error magnitude, (2) distribution different frequency components in errors, (3) processing delays, and (4) gain.To evaluate these features their interactions, we used a simulator where human subjects own wrist movements motion cursor targets on...

10.1088/1741-2560/12/4/046031 article EN cc-by Journal of Neural Engineering 2015-07-14

The purpose of this study was to develop an animal model evaluate the efficacy a brain machine interface (BMI) control neuroprosthesis intended restore hand function via functional neuromuscular stimulation (FNS). We have implemented system in single primate, whose limb could be temporarily paralyzed by reversible peripheral nerve block. Recordings from primary motor cortex were obtained 100-electrode array intact monkey, and used predict activity variety wrist muscles. These predictions...

10.1109/icorr.2007.4428464 article EN 2007-06-01
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