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Jiang J, Marathe AR, Keene JC, Taylor DM. A testbed for optimizing electrodes embedded in the skull or in artificial skull replacement pieces used after injury. J Neurosci Methods 2017; 277:21-29. [PMID: 27979758 PMCID: PMC5253247 DOI: 10.1016/j.jneumeth.2016.12.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Revised: 12/06/2016] [Accepted: 12/11/2016] [Indexed: 11/25/2022]
Abstract
BACKGROUND Custom-fitted skull replacement pieces are often used after a head injury or surgery to replace damaged bone. Chronic brain recordings are beneficial after injury/surgery for monitoring brain health and seizure development. Embedding electrodes directly in these artificial skull replacement pieces would be a novel, low-risk way to perform chronic brain monitoring in these patients. Similarly, embedding electrodes directly in healthy skull would be a viable minimally-invasive option for many other neuroscience and neurotechnology applications requiring chronic brain recordings. NEW METHOD We demonstrate a preclinical testbed that can be used for refining electrode designs embedded in artificial skull replacement pieces or for embedding directly into the skull itself. Options are explored to increase the surface area of the contacts without increasing recording contact diameter to maximize recording resolution. RESULTS Embedding electrodes in real or artificial skull allows one to lower electrode impedance without increasing the recording contact diameter by making use of conductive channels that extend into the skull. The higher density of small contacts embedded in the artificial skull in this testbed enables one to optimize electrode spacing for use in real bone. COMPARISON WITH EXISTING METHODS For brain monitoring applications, skull-embedded electrodes fill a gap between electroencephalograms recorded on the scalp surface and the more invasive epidural or subdural electrode sheets. CONCLUSIONS Embedding electrodes into the skull or in skull replacement pieces may provide a safe, convenient, minimally-invasive alternative for chronic brain monitoring. The manufacturing methods described here will facilitate further testing of skull-embedded electrodes in animal models.
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Affiliation(s)
- JingLe Jiang
- Department of Neurosciences, The Cleveland Clinic, Cleveland, OH 44195, United States; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, United States; Cleveland Functional Electrical Stimulation (FES) Center of Excellence, Louis Stokes VA Medical Center, Cleveland, OH 44106, United States
| | - Amar R Marathe
- Department of Neurosciences, The Cleveland Clinic, Cleveland, OH 44195, United States; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, United States; Cleveland Functional Electrical Stimulation (FES) Center of Excellence, Louis Stokes VA Medical Center, Cleveland, OH 44106, United States; Human Research and Engineering Directorate, US Army Research Laboratory, Aberdeen Proving Ground, MD 21005, United States
| | - Jennifer C Keene
- Department of Neurosciences, The Cleveland Clinic, Cleveland, OH 44195, United States; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, United States; Cleveland Functional Electrical Stimulation (FES) Center of Excellence, Louis Stokes VA Medical Center, Cleveland, OH 44106, United States
| | - Dawn M Taylor
- Department of Neurosciences, The Cleveland Clinic, Cleveland, OH 44195, United States; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, United States; Cleveland Functional Electrical Stimulation (FES) Center of Excellence, Louis Stokes VA Medical Center, Cleveland, OH 44106, United States.
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McCane LM, Heckman SM, McFarland DJ, Townsend G, Mak JN, Sellers EW, Zeitlin D, Tenteromano LM, Wolpaw JR, Vaughan TM. P300-based brain-computer interface (BCI) event-related potentials (ERPs): People with amyotrophic lateral sclerosis (ALS) vs. age-matched controls. Clin Neurophysiol 2015; 126:2124-31. [PMID: 25703940 PMCID: PMC4529383 DOI: 10.1016/j.clinph.2015.01.013] [Citation(s) in RCA: 105] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2014] [Revised: 12/23/2014] [Accepted: 01/06/2015] [Indexed: 12/27/2022]
Abstract
OBJECTIVE Brain-computer interfaces (BCIs) aimed at restoring communication to people with severe neuromuscular disabilities often use event-related potentials (ERPs) in scalp-recorded EEG activity. Up to the present, most research and development in this area has been done in the laboratory with young healthy control subjects. In order to facilitate the development of BCI most useful to people with disabilities, the present study set out to: (1) determine whether people with amyotrophic lateral sclerosis (ALS) and healthy, age-matched volunteers (HVs) differ in the speed and accuracy of their ERP-based BCI use; (2) compare the ERP characteristics of these two groups; and (3) identify ERP-related factors that might enable improvement in BCI performance for people with disabilities. METHODS Sixteen EEG channels were recorded while people with ALS or healthy age-matched volunteers (HVs) used a P300-based BCI. The subjects with ALS had little or no remaining useful motor control (mean ALS Functional Rating Scale-Revised 9.4 (±9.5SD) (range 0-25)). Each subject attended to a target item as the items in a 6×6 visual matrix flashed. The BCI used a stepwise linear discriminant function (SWLDA) to determine the item the user wished to select (i.e., the target item). Offline analyses assessed the latencies, amplitudes, and locations of ERPs to the target and non-target items for people with ALS and age-matched control subjects. RESULTS BCI accuracy and communication rate did not differ significantly between ALS users and HVs. Although ERP morphology was similar for the two groups, their target ERPs differed significantly in the location and amplitude of the late positivity (P300), the amplitude of the early negativity (N200), and the latency of the late negativity (LN). CONCLUSIONS The differences in target ERP components between people with ALS and age-matched HVs are consistent with the growing recognition that ALS may affect cortical function. The development of BCIs for use by this population may begin with studies in HVs but also needs to include studies in people with ALS. Their differences in ERP components may affect the selection of electrode montages, and might also affect the selection of presentation parameters (e.g., matrix design, stimulation rate). SIGNIFICANCE P300-based BCI performance in people severely disabled by ALS is similar to that of age-matched control subjects. At the same time, their ERP components differ to some degree from those of controls. Attention to these differences could contribute to the development of BCIs useful to those with ALS and possibly to others with severe neuromuscular disabilities.
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Affiliation(s)
- Lynn M McCane
- Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health, Albany, NY, USA; Helen Hayes Rehabilitation Hospital, New York State Department of Health, West Haverstraw, NY, USA.
| | - Susan M Heckman
- Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health, Albany, NY, USA; Helen Hayes Rehabilitation Hospital, New York State Department of Health, West Haverstraw, NY, USA
| | - Dennis J McFarland
- Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health, Albany, NY, USA; Helen Hayes Rehabilitation Hospital, New York State Department of Health, West Haverstraw, NY, USA
| | - George Townsend
- Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health, Albany, NY, USA; Helen Hayes Rehabilitation Hospital, New York State Department of Health, West Haverstraw, NY, USA
| | - Joseph N Mak
- Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health, Albany, NY, USA; Helen Hayes Rehabilitation Hospital, New York State Department of Health, West Haverstraw, NY, USA
| | - Eric W Sellers
- Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health, Albany, NY, USA; Helen Hayes Rehabilitation Hospital, New York State Department of Health, West Haverstraw, NY, USA
| | - Debra Zeitlin
- Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health, Albany, NY, USA; Helen Hayes Rehabilitation Hospital, New York State Department of Health, West Haverstraw, NY, USA
| | - Laura M Tenteromano
- Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health, Albany, NY, USA; Helen Hayes Rehabilitation Hospital, New York State Department of Health, West Haverstraw, NY, USA
| | - Jonathan R Wolpaw
- Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health, Albany, NY, USA; Helen Hayes Rehabilitation Hospital, New York State Department of Health, West Haverstraw, NY, USA
| | - Theresa M Vaughan
- Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health, Albany, NY, USA; Helen Hayes Rehabilitation Hospital, New York State Department of Health, West Haverstraw, NY, USA
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