National Center for Adaptive Neurotechnologies

Recent Publications

Operant Condition of the Flexor Carpi Radialis H-reflex

Norton J, Vaughan T, Gemoets D, Heckman S, Toliou SD, Carp J, et al.. Operant Condition of the Flexor Carpi Radialis H-reflex. Archives of Physical Medicine and Rehabilitation [Internet]. 2020;101(12). https://www.archives-pmr.org/article/S0003-9993(20)31081-9/abstract

BCI-based sensorimotor rhythm training can affect individuated finger movements

McFarland DJ, Norman SL, Sarnacki WA, Wolbrecht ET, Reinkensmeyer DJ, Wolpaw JR. BCI-based sensorimotor rhythm training can affect individuated finger movements . Brain Computer Interface Society [Internet]. 2020;7(1). https://www.tandfonline.com/doi/abs/10.1080/2326263X.2020.1763060?journalCode=tbci20

Brain-computer interfaces for people with amyotrophic lateral sclerosis

Vaughan T. Brain-computer interfaces for people with amyotrophic lateral sclerosis. Handbook of Clinical Neurology [Internet]. 2020;168. https://www.sciencedirect.com/science/article/pii/B9780444639349000044

Brain-computer interfaces: Definitions and principles

Wolpaw JR, Millán Jdel R, Ramsey NF. Brain-computer interfaces: Definitions and principles. Handbook of Clinical Neurology [Internet]. 2020;168. https://www.sciencedirect.com/science/article/pii/B9780444639349000020

An exploration of BCI performance variations in people with amyotrophic lateral sclerosis using longitudinal EEG data

Shahriari Y, Vaughan T, McCane L, Allison B, Wolpaw J, Krusienski D. An exploration of BCI performance variations in people with amyotrophic lateral sclerosis using longitudinal EEG data. Journal of Neural Engineering [Internet]. 2019;. https://iopscience.iop.org/article/10.1088/1741-2552/ab22ea

A quantitative method for evaluating cortical responses to electrical stimulation

Crowther LJ, Brunner P, Kapeller C, Guger C, Kamada K, Bunch ME, et al.. A quantitative method for evaluating cortical responses to electrical stimulation. Journal of Neuroscience Methods [Internet]. 2019;311:67 - 75. http://www.sciencedirect.com/science/article/pii/S0165027018302796

Rapid Identification of Cortical Connectivity During Functional Mapping

Crowther LJ, Brunner P, Ritaccio AL, Schalk G. Rapid Identification of Cortical Connectivity During Functional Mapping. American Epilepsy Society 72nd Annual Meeting. New Orleans, LA; 2018.

Optimal referencing for stereo-electroencephalographic (SEEG) recordings

Li G, Jiang S, Paraskevopoulou S, Wang M, Xu Y, Wu Z, et al.. Optimal referencing for stereo-electroencephalographic (SEEG) recordings. NeuroImage [Internet]. 2018;183:327-335. https://www.sciencedirect.com/science/article/pii/S1053811918307183

Creating an eyes-closed binary SSVEP-based brain-computer interface (BCI) for the bedside: A comparison of foveal centered and off-centered stimulus presentation

Vaughan TM, Aslam M, Zoltan B, Brunner P, Norton JJ, Carmack CS, et al.. Creating an eyes-closed binary SSVEP-based brain-computer interface (BCI) for the bedside: A comparison of foveal centered and off-centered stimulus presentation. Program No. 225.17. 2018 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience. Online. San Diego, CA; 2018.

Towards operant conditioning of the flexor carpi radialis: Methods and initial results

Norton J, Eftekhar A, Heckman S, Barnes JH, McCane L, Wolpaw J. Towards operant conditioning of the flexor carpi radialis: Methods and initial results. Program No. 387.08. 2018 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience. Online. 2018.

Combining H-reflex conditioning and locomotor training appears to enhance locomotor recovery in rats with incomplete spinal cord injury: Initial results

Chen XY, Chen L, Yang X, Wang Y, Chen Y, Wolpaw J. Combining H-reflex conditioning and locomotor training appears to enhance locomotor recovery in rats with incomplete spinal cord injury: Initial results. Program No. 387.12. 2018 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience. Online. 2018.

Creating an eyes-closed binary SSVEP-based brain-computer interface (BCI) for the bedside: A comparison of foveal centered and off-centered stimulus presentation

Instantaneous voltage of electroencephalographic oscillatory activity: An alternative to power and phase measurements

Adamek M, Brunner P, Moheimanian L, Scherer R, Schalk G. Instantaneous voltage of electroencephalographic oscillatory activity: An alternative to power and phase measurements. Program No. 125.17. 2018 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience. Online. San Diego, CA; 2018.

Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke

Norman SL, McFarland DJ, Miner A, Cramer SC, Wolbrecht ET, Wolpaw J, et al.. Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke. Journal of Neural Engineering [Internet]. 2018;15(5). http://stacks.iop.org/1741-2552/15/i=5/a=056026

Effects of Sensorimotor Rhythm Modulation on the Human Flexor Carpi Radialis H-Reflex

Thompson AK, Carruth H, Haywood R, Hill NJ, Sarnacki WA, McCane LM, et al.. Effects of Sensorimotor Rhythm Modulation on the Human Flexor Carpi Radialis H-Reflex. Frontiers in Neuroscience [Internet]. 2018;12. https://www.frontiersin.org/article/10.3389/fnins.2018.00505

Retraining Reflexes: Clinical Translation of Spinal Reflex Operant Conditioning

Eftekhar A, Norton JJS, McDonough CM, Wolpaw J. Retraining Reflexes: Clinical Translation of Spinal Reflex Operant Conditioning. Neurotherapeutics [Internet]. 2018;15(3):669-683. https://link.springer.com/article/10.1007/s13311-018-0643-2

Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis

Wolpaw J, Bedlack RS, Reda DJ, Ringer RJ, Banks PG, Vaughan TM, et al.. Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis. Neurology [Internet]. 2018;. http://n.neurology.org/content/neurology/early/2018/06/27/WNL.0000000000005812.full.pdf

Electrical Stimulation Mapping of the Brain: Basic Principles and Emerging Alternatives

Ritaccio A, Brunner P, Schalk G. Electrical Stimulation Mapping of the Brain: Basic Principles and Emerging Alternatives. Journal of Clinical Neurophysiology [Internet]. 2018;35(2):86-97. https://journals.lww.com/clinicalneurophys/Abstract/2018/03000/Electrical_Stimulation_Mapping_of_the_Brain__.2.aspx

Real-time detection and discrimination of visual perception using electrocorticographic signals

Kapeller C, Ogawa H, Schalk G, Kunii N, Coon WG, Scharinger J, et al.. Real-time detection and discrimination of visual perception using electrocorticographic signals. Journal of Neural Engineering [Internet]. 2018;15(3). http://iopscience.iop.org/article/10.1088/1741-2552/aaa9f6/pdf

Passive functional mapping of receptive language areas using electrocorticographic signals

Swift JR, Coon WG, Guger C, Brunner P, Bunch M, Lynch T, et al.. Passive functional mapping of receptive language areas using electrocorticographic signals. Clinical Neurophysiology [Internet]. 2018;129:2517 - 2524. http://www.sciencedirect.com/science/article/pii/S1388245718312288

Encoding of Multiple Reward-Related Computations in Transient and Sustained High-Frequency Activity in Human OFC

Saez I, Lin J, Stolk A, Chang E, Parvizi J, Schalk G, et al.. Encoding of Multiple Reward-Related Computations in Transient and Sustained High-Frequency Activity in Human OFC. Current Biology [Internet]. 2018;28:2889 - 2899.e3. http://www.sciencedirect.com/science/article/pii/S0960982218309758

Acquisition, maintenance, and therapeutic use of a simple motor skill

Norton JJS, Wolpaw J. Acquisition, maintenance, and therapeutic use of a simple motor skill. Current Opinion in Behavioral Sciences [Internet]. 2018;20:138 - 144. http://www.sciencedirect.com/science/article/pii/S235215461730219X

The performance of 9–11-year-old children using an SSVEP-based BCI for target selection

Norton JJS, Mullins J, Alitz BE, Bretl T. The performance of 9–11-year-old children using an SSVEP-based BCI for target selection. Journal of Neural Engineering [Internet]. 2018;15:056012. http://stacks.iop.org/1741-2552/15/i=5/a=056012

Instantaneous voltage of electroencephalographic oscillatory activity: An alternative to power and phase measurements

16 ECoG-Based BCIs

Gunduz A, Schalk G. 16 ECoG-Based BCIs. In Brain–Computer Interfaces Handbook: Technological and Theoretical Advances. 2018. p. 297.

17 BCI Software

Brunner P, Schalk G. 17 BCI Software. In Brain–Computer Interfaces Handbook: Technological and Theoretical Advances. 2018. p. 323.

Perspectives on Brain–Computer Interfaces

Schalk G. Perspectives on Brain–Computer Interfaces. In Brain–Computer Interfaces Handbook. CRC Press; 2018. pp. 721–724.

Overview

The National Center for Adaptive Neurotechnologies (NCAN), which is supported by the National Institute of Biomedical Imaging and Bioengineering, is the culmination of a unique research program that has developed over several decades. This program is founded on two major advances, one scientific and one technical. The scientific advance is the recognition that activity-dependent plasticity occurs continually throughout the central nervous system (CNS) and throughout life. The technical advance is the widespread availability of hardware and software that can support complex real-time interactions with the nervous system.

The scientists and engineers of NCAN have both contributed to and taken advantage of these advances; and they have built a unique technical and procedural infrastructure that supports beneficial real-time interactions with the CNS. They are using this infrastructure to produce important new scientific insights and novel therapeutic methods. They are realizing adaptive systems that interact with the nervous system in real time to achieve three important goals: guiding beneficial CNS plasticity; restoring lost neuromuscular functions; and characterizing and localizing brain processes both spatially and temporally.

These three goals and the adaptive systems dedicated to them are the foci of NCAN ’s three technical research and development (TR&D) projects. These projects use a suite of related hardware/software platforms and real-time analysis methods that are continually updated and expanded. Through energetic interactions with a set of outstanding collaborators, NCAN personnel are developing and using each project as a basic research tool and are also translating it into important new clinical applications. NCAN is thereby increasing understanding of CNS function and dysfunction; and it is realizing effective new therapies for a wide range of devastating neurological disorders.

In addition, NCAN provides an extensive program of training and dissemination activities and resources. The goal of this program is to create and maintain an ecosystemof people, knowledge, and hardware and software that enables and promotes the widespread use and further development of adaptive technologies by scientists, engineers, and clinicians to address important scientific and clinical problems. This program includes training courses and workshops, presentations at meetings and institutions, internships and other opportunities to work NCAN scientists and engineers, software and hardware resources, training manuals, technical support mechanisms, opportunities for user interactions, and promotion of uniform hardware/software standards.

For questions, contact us at admin@neurotechcenter.org or 518-852-9103.

The National Center for Adaptive Neurotechnologies is part of the Stratton VA Medical Center in Albany, NY; its grant support is overseen by the Albany Research Institute, Inc., a not-for profit corporation organized under the New York State not-for-profit Corporation Law. It is exempt under Section 501(c) (3) of the Internal Revenue Service Code.