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Recent Publications

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
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
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.
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.
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.
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. 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.
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
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
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
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
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
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. 2018.
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
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
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.
16 ECoG-Based BCIs
Gunduz A, Schalk G. 16 ECoG-Based BCIs. In Brain–Computer Interfaces Handbook: Technological and Theoretical Advances. 2018. p. 297.
EEG-based brain-computer interfaces
McFarland DJ, Wolpaw J. EEG-based brain-computer interfaces. Current Opinion in Biomedical Engineering [Internet]. 2017;4:194-200. https://www.ncbi.nlm.nih.gov/pubmed/21438193
Facephenes and rainbows: Causal evidence for functional and anatomical specificity of face and color processing in the human brain
Schalk G, Kapeller C, Guger C, Ogawa H, Hiroshima S, Lafer-Sousa R, et al.. Facephenes and rainbows: Causal evidence for functional and anatomical specificity of face and color processing in the human brain. Proc. Natl. Acad. Sci. U.S.A. [Internet]. 2017;114:12285–12290. http://www.pnas.org/content/114/46/12285
Spatiotemporal dynamics of word retrieval in speech production revealed by cortical high-frequency band activity.
Riès SK, Dhillon RK, Clarke A, King-Stephens D, Laxer KD, Weber PB, et al.. Spatiotemporal dynamics of word retrieval in speech production revealed by cortical high-frequency band activity. Proceedings of the National Academy of Sciences of the United States of America [Internet]. 2017;. http://www.ncbi.nlm.nih.gov/pubmed/28533406
Contralesional Brain-Computer Interface Control of a Powered Exoskeleton for Motor Recovery in Chronic Stroke Survivors.
Bundy DT, Souders L, Baranyai K, Leonard L, Schalk G, Coker R, et al.. Contralesional Brain-Computer Interface Control of a Powered Exoskeleton for Motor Recovery in Chronic Stroke Survivors. Stroke [Internet]. 2017;. http://www.ncbi.nlm.nih.gov/pubmed/28550098
Spinal transection alters external urethral sphincter activity during spontaneous voiding in freely-moving rats.
LaPallo BK, Wolpaw J, Chen XY, Carp JS. Spinal transection alters external urethral sphincter activity during spontaneous voiding in freely-moving rats. Journal of neurotrauma [Internet]. 2017;. http://www.ncbi.nlm.nih.gov/pubmed/28467736
EEG Error Prediction as a Solution for Combining the Advantages of Retrieval Practice and Errorless Learning.
Riley EA, McFarland DJ. EEG Error Prediction as a Solution for Combining the Advantages of Retrieval Practice and Errorless Learning. Frontiers in human neuroscience [Internet]. 2017;11:140. http://www.ncbi.nlm.nih.gov/pubmed/28396630
Use of phase-locking value in sensorimotor rhythm-based brain-computer interface: zero-phase coupling and effects of spatial filters.
Jian W, Chen M, McFarland DJ. Use of phase-locking value in sensorimotor rhythm-based brain-computer interface: zero-phase coupling and effects of spatial filters. Medical & biological engineering & computing [Internet]. 2017;. http://www.ncbi.nlm.nih.gov/pubmed/28343333
Why New Spinal Cord Plasticity Does Not Disrupt Old Motor Behaviors
Chen Y, Chen L, Wang Y, Chen XYang, Wolpaw J. Why New Spinal Cord Plasticity Does Not Disrupt Old Motor Behaviors. The Journal of Neuroscience [Internet]. 2017;37(34):8198-8206. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566867/
Nothing either good or bad but action makes it so.
Wolpaw J, Thompson AK. Nothing either good or bad but action makes it so. The Journal of physiology [Internet]. 2017;595:1003–1004. http://www.ncbi.nlm.nih.gov/pubmed/28198019
Prediction of subjective ratings of emotional pictures by EEG features.
McFarland DJ, Parvaz MA, Sarnacki WA, Goldstein RZ, Wolpaw J. Prediction of subjective ratings of emotional pictures by EEG features. Journal of neural engineering [Internet]. 2017;14:016009. http://www.ncbi.nlm.nih.gov/pubmed/27934776
How neuroscience can inform the study of individual differences in cognitive abilities.
McFarland DJ. How neuroscience can inform the study of individual differences in cognitive abilities. Reviews in the neurosciences [Internet]. 2017;. http://www.ncbi.nlm.nih.gov/pubmed/28195556
EEG based zero-phase phase-locking value (PLV) and effects of spatial filtering during actual movement.
Jian W, Chen M, McFarland DJ. EEG based zero-phase phase-locking value (PLV) and effects of spatial filtering during actual movement. Brain research bulletin [Internet]. 2017;130:156–164. http://www.ncbi.nlm.nih.gov/pubmed/28161192
Evaluation of multidimensional models of WAIS-IV subtest performance.
McFarland DJ. Evaluation of multidimensional models of WAIS-IV subtest performance. The Clinical neuropsychologist [Internet]. 2017;:1–14. http://www.ncbi.nlm.nih.gov/pubmed/28430031
Therapeutic Applications of BCI Technologies
McFarland DJ, Daly J, Boulay C, Parvaz M. Therapeutic Applications of BCI Technologies. Brain computer interfaces (Abingdon, England) [Internet]. 2017;47:37—52. http://europepmc.org/articles/PMC5843196
A method to establish the spatiotemporal evolution of task-related cortical activity from electrocorticographic signals in single trials.
Coon WG, Schalk G. A method to establish the spatiotemporal evolution of task-related cortical activity from electrocorticographic signals in single trials. Journal of neuroscience methods [Internet]. 2016;271:76–85. http://www.ncbi.nlm.nih.gov/pubmed/27427301
Neural correlate of the construction of sentence meaning.
Fedorenko E, Scott TL, Brunner P, Coon WG, Pritchett B, Schalk G, et al.. Neural correlate of the construction of sentence meaning. Proceedings of the National Academy of Sciences of the United States of America [Internet]. 2016;113:E6256–E6262. http://www.ncbi.nlm.nih.gov/pubmed/27671642
The inferior olive is essential for long-term maintenance of a simple motor skill.
Chen XY, Wang Y, Chen Y, Chen L, Wolpaw J. The inferior olive is essential for long-term maintenance of a simple motor skill. Journal of neurophysiology [Internet]. 2016;116:1946–1955. http://www.ncbi.nlm.nih.gov/pubmed/27535367
Spatio-Temporal Progression of Cortical Activity Related to Continuous Overt and Covert Speech Production in a Reading Task.
Brumberg JS, Krusienski DJ, Chakrabarti S, Gunduz A, Brunner P, Ritaccio AL, et al.. Spatio-Temporal Progression of Cortical Activity Related to Continuous Overt and Covert Speech Production in a Reading Task. PloS one [Internet]. 2016;11:e0166872. http://www.ncbi.nlm.nih.gov/pubmed/27875590
Proceedings of the Eighth International Workshop on Advances in Electrocorticography.
Ritaccio AL, Williams J, Denison T, Foster BL, Starr PA, Gunduz A, et al.. Proceedings of the Eighth International Workshop on Advances in Electrocorticography. Epilepsy & behavior : E&B [Internet]. 2016;64:248–252. http://www.ncbi.nlm.nih.gov/pubmed/27780085
Differential roles of high gamma and local motor potentials for movement preparation and execution
Gunduz A, Brunner P, Sharma M, Leuthardt EC, Ritaccio AL, Pesaran B, et al.. Differential roles of high gamma and local motor potentials for movement preparation and execution. Brain-Computer Interfaces. 2016;3(2):88-102.
Word pair classification during imagined speech using direct brain recordings.
Martin S, Brunner P, Iturrate I, Millán JDel R, Schalk G, Knight RT, et al.. Word pair classification during imagined speech using direct brain recordings. Scientific reports [Internet]. 2016;6:25803. http://www.ncbi.nlm.nih.gov/pubmed/27165452
Electrocorticographic mapping of expressive language function without requiring the patient to speak: A report of three cases.
de Pesters A, Taplin ALM, Adamo MA, Ritaccio AL, Schalk G. Electrocorticographic mapping of expressive language function without requiring the patient to speak: A report of three cases. Epilepsy & behavior case reports [Internet]. 2016;6:13–18. http://www.ncbi.nlm.nih.gov/pubmed/27408803
Intraoperative mapping of expressive language cortex using passive real-time electrocorticography.
Taplin ALM, de Pesters A, Brunner P, Hermes D, Dalfino JC, Adamo MA, et al.. Intraoperative mapping of expressive language cortex using passive real-time electrocorticography. Epilepsy & behavior case reports [Internet]. 2016;5:46–51. http://www.ncbi.nlm.nih.gov/pubmed/27408802
Ablation of the inferior olive prevents H-reflex down-conditioning in rats.
Chen XY, Wang Y, Chen Y, Chen L, Wolpaw J. Ablation of the inferior olive prevents H-reflex down-conditioning in rats. Journal of neurophysiology [Internet]. 2016;115:1630–1636. http://www.ncbi.nlm.nih.gov/pubmed/26792888
Oscillatory phase modulates the timing of neuronal activations and resulting behavior.
Coon WG, Gunduz A, Brunner P, Ritaccio AL, Pesaran B, Schalk G. Oscillatory phase modulates the timing of neuronal activations and resulting behavior. NeuroImage [Internet]. 2016;133:294–301. http://www.ncbi.nlm.nih.gov/pubmed/26975551
Alpha power indexes task-related networks on large and small scales: A multimodal ECoG study in humans and a non-human primate.
de Pesters A, Coon WG, Brunner P, Gunduz A, Ritaccio AL, Brunet NM, et al.. Alpha power indexes task-related networks on large and small scales: A multimodal ECoG study in humans and a non-human primate. NeuroImage [Internet]. 2016;134:122–131. http://www.ncbi.nlm.nih.gov/pubmed/27057960
Spontaneous Decoding of the Timing and Content of Human Object Perception from Cortical Surface Recordings Reveals Complementary Information in the Event-Related Potential and Broadband Spectral Change.
Miller KJ, Schalk G, Hermes D, Ojemann JG, Rao RPN. Spontaneous Decoding of the Timing and Content of Human Object Perception from Cortical Surface Recordings Reveals Complementary Information in the Event-Related Potential and Broadband Spectral Change. PLoS computational biology [Internet]. 2016;12:e1004660. http://www.ncbi.nlm.nih.gov/pubmed/26820899
Robust Signal Identification for Dynamic Pattern Classification
Zhao R, Schalk G, Ji Q. Robust Signal Identification for Dynamic Pattern Classification. 2016 23rd International Conference on Pattern Recognition [Internet]. 2016;:3910-3915. https://ieeexplore.ieee.org/document/7900245/
Modeling General and Specific Abilities: Evaluation of Bifactor Models for the WJ-III.
McFarland DJ. Modeling General and Specific Abilities: Evaluation of Bifactor Models for the WJ-III. Assessment [Internet]. 2016;23:698–706. http://www.ncbi.nlm.nih.gov/pubmed/26187901
Contribution of the external urethral sphincter to urinary void size in unanesthetized unrestrained rats.
LaPallo BK, Wolpaw J, Chen XY, Carp JS. Contribution of the external urethral sphincter to urinary void size in unanesthetized unrestrained rats. Neurourology and urodynamics [Internet]. 2016;35:696–702. http://www.ncbi.nlm.nih.gov/pubmed/25995074
Chapter 13 - BCI in practice
McFarland DJ, Vaughan TM. Chapter 13 - BCI in practice. In: Coyle D. Brain-Computer Interfaces: Lab Experiments to Real-World Applications [Internet]. Elsevier; 2016. pp. 389 - 404. http://www.sciencedirect.com/science/article/pii/S0079612316300917
Overview
Overview

The newly established National Center for Adaptive Neurotechnologies, which is supported by the National Institute of Biomedical Imaging and Bioengineering, is the culmination of a unique research program that has developed at the Wadsworth Center 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 the Center 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 the Center’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, Center personnel are developing and using each project as a basic research tool and are also translating it into important new clinical applications. The Center 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, The Center provides an extensive program of training and dissemination activities and resources. The goal of this program is to create and maintain an ecosystem of 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 with Center scientists and engineers, software and hardware resources, training manuals, technical support mechanisms, opportunities for user interactions, and promotion of uniform hardware/software standards.
 
The National Center for Adaptive Neurotechnologies is part of Health Research 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.
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