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| ID | Type | Description | Link |
|---|---|---|---|
| UH3NS114439 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute of Neurological Disorders and Stroke (NINDS) | NIH |
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The CortiCom system consists of 510(k)-cleared components: platinum PMT subdural cortical electrode grids, a Blackrock Microsystems patient pedestal, and an external NeuroPort Neural Signal Processor. Up to two grids will be implanted in the brain, for a total channel count of up to 128 channels, for six months. In each participant, the grid(s) will be implanted over areas of cortex that encode speech and upper extremity movement.
The successful adoption of brain-computer interfaces (BCIs) as assistive technologies (ATs) for disabled populations depends on the ability to elicit rapid, intuitive, and reliable control signals. To date, it is not known which sources of neural information provide the most natural and efficient means of control. This study will directly assess the efficacy of two sources of neural control signals, speech and motor cortex, for BCI control of software and devices using investigators' Cortical Communication (CortiCom) system.
The CortiCom system consists of 510(k)-cleared components: platinum PMT subdural cortical electrode grids, a Blackrock Microsystems patient pedestal, and an external NeuroPort Neural Signal Processor. Up to two grids will be implanted in the brain, for a total channel count of up to 128 channels, for six months. In each participant, the grid(s) will be implanted over areas of cortex that encode speech and upper extremity movement.
Investigators' study will be the first to investigate the efficiency and intuitiveness of two contrasting neural control strategies for BCI: Motor imagery and speech. As the first study to chronically and simultaneously record from human speech and motor regions, this study seeks to achieve the following:
The patient populations targeted in this study are amyotrophic lateral sclerosis (ALS), brainstem stroke, locked-in syndrome (LIS), and tetraplegia. Individuals within these populations may have normal cortical function and cognition while suffering from motor or combined speech and motor deficits.
Based on research by colleagues, as well as investigators' own experience working with participants affected by epilepsy implanted with high density electrocorticographic grids, investigators hypothesize that long-term recording of neural activity from the targeted cortical areas may provide a new communication channel for these clinical populations. The utilization of high-channel-count (up to 128 channel) ECoG grids, in combination with simultaneous coverage of speech and motor cortex, will enable investigations into the performance of speech-mediated and motor-mediated control efficacy as applied to a variety of end effectors, such as computers, tablets, headsets for virtual or augmented reality, smart lights, televisions, and assistive technologies. Additionally, eye-tracking may be utilized in combination with neural commands to improve target selection performance and ease.
Through this study, investigators will assess the performance of speech- and motor-mediated control using chronic, high-channel count ECoG grid neural implants in pursuit of a high-performing, clinically beneficial BCI assistive technology.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Surgical implantation of the CortiCom system | Experimental |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Surgical implantation of CortiCom system | Device | Implantation of Cortical communication system, consisting of one or two Electrocorticography (ECoG) grids connected to a transcutaneous patient pedestal. |
| Measure | Description | Time Frame |
|---|---|---|
| Time to device explantation | This study outcome will be considered successful if the device is not explanted during the 26-week period of the study. Explantation of the device prior to the completion of the 26-week period implies that the device is putting the subject at risk (e.g. through a serious infection at the implantation site) and therefore must be removed. | 26 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Success rate in controlling the brain computer interface, i.e. ratio of successful trials to total trials. | One or more participants demonstrates successful use of the CortiCom system in which motor and/or speech neural signals can be decoded to provide control signals for software and devices. Efficacy is assessed in terms of accuracy, i.e. how often the participant is able to select a desired target. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Nathan E Crone, MD | Contact | 410-955-6772 | ncrone@jhmi.edu |
| Name | Affiliation | Role |
|---|---|---|
| Nathan E Crone, MD | Professor of Neurology | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Johns Hopkins Medicine | Recruiting | Baltimore | Maryland | 21205 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41928799 | Derived | Ouyang Z, Walmsley K, Luo S, Tippett D, Wyse-Sookoo K, Fifer M, Vansteensel MJ, Angrick M, Ramsey N, Crone NE. Stable speech BCI performance during slow progression of ALS: A longitudinal ECoG study. Res Sq [Preprint]. 2026 Mar 25:rs.3.rs-9156039. doi: 10.21203/rs.3.rs-9156039/v1. | |
| 41256173 | Derived | Candrea DN, Angrick M, Luo S, Ganji R, Coogan C, Milsap GW, Rosenblatt KR, Uchil A, Clawson L, Maragakis NJ, Vansteensel MJ, Tenore FV, Ramsey NF, Fifer MS, Crone NE. Longitudinal study of gesture decoding in a clinical trial participant with ALS. medRxiv [Preprint]. 2025 Oct 3:2025.09.26.25335804. doi: 10.1101/2025.09.26.25335804. |
| Label | URL |
|---|---|
| Additional study information | View source |
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IPD from published results will be made available upon reasonable request to corresponding authors and/or will be uploaded to a data archive for the BRAIN Initiative in compliance with its data sharing consortium.
IPD and associated analytic code will be made available upon publication of research results and will remain available for the duration of the funded project.
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| ID | Term |
|---|---|
| D011782 | Quadriplegia |
| D000080422 | Locked-In Syndrome |
| D020526 | Brain Stem Infarctions |
| D000690 | Amyotrophic Lateral Sclerosis |
| D020521 | Stroke |
| ID | Term |
|---|---|
| D010243 | Paralysis |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D012816 | Signs and Symptoms |
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| 26 weeks |
| Speed of brain-computer interface control, i.e. time to complete successful trials (in seconds). | One or more participants demonstrates successful use of the CortiCom system in which motor and/or speech neural signals can be decoded to provide control signals for software and devices. Efficacy is therefore also assessed in terms of how long it takes to select the target. | 26 weeks |
| 40972658 | Derived | Angrick M, Luo S, Rabbani Q, Joshi S, Candrea DN, Milsap GW, Gordon CR, Rosenblatt K, Clawson L, Maragakis N, Tenore FV, Fifer MS, Ramsey NF, Crone NE. Real-time detection of spoken speech from unlabeled ECoG signals: a pilot study with an ALS participant. J Neural Eng. 2025 Oct 6;22(5):056023. doi: 10.1088/1741-2552/ae0965. |
| 39433597 | Derived | Candrea DN, Shah S, Luo S, Angrick M, Rabbani Q, Coogan C, Milsap GW, Nathan KC, Wester BA, Anderson WS, Rosenblatt KR, Uchil A, Clawson L, Maragakis NJ, Vansteensel MJ, Tenore FV, Ramsey NF, Fifer MS, Crone NE. A click-based electrocorticographic brain-computer interface enables long-term high-performance switch scan spelling. Commun Med (Lond). 2024 Oct 22;4(1):207. doi: 10.1038/s43856-024-00635-3. |
| 39371161 | Derived | Angrick M, Luo S, Rabbani Q, Joshi S, Candrea DN, Milsap GW, Gordon CR, Rosenblatt K, Clawson L, Maragakis N, Tenore FV, Fifer MS, Ramsey NF, Crone NE. Real-time detection of spoken speech from unlabeled ECoG signals: A pilot study with an ALS participant. medRxiv [Preprint]. 2024 Sep 22:2024.09.18.24313755. doi: 10.1101/2024.09.18.24313755. |
| 38925110 | Derived | Wyse-Sookoo K, Luo S, Candrea D, Schippers A, Tippett DC, Wester B, Fifer M, Vansteensel MJ, Ramsey NF, Crone NE. Stability of ECoG high gamma signals during speech and implications for a speech BCI system in an individual with ALS: a year-long longitudinal study. J Neural Eng. 2024 Jul 12;21(4):10.1088/1741-2552/ad5c02. doi: 10.1088/1741-2552/ad5c02. |
| 38671062 | Derived | Angrick M, Luo S, Rabbani Q, Candrea DN, Shah S, Milsap GW, Anderson WS, Gordon CR, Rosenblatt KR, Clawson L, Tippett DC, Maragakis N, Tenore FV, Fifer MS, Hermansky H, Ramsey NF, Crone NE. Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS. Sci Rep. 2024 Apr 26;14(1):9617. doi: 10.1038/s41598-024-60277-2. |
| 37841873 | Derived | Crone N, Candrea D, Shah S, Luo S, Angrick M, Rabbani Q, Coogan C, Milsap G, Nathan K, Wester B, Anderson W, Rosenblatt K, Clawson L, Maragakis N, Vansteensel M, Tenore F, Ramsey N, Fifer M, Uchil A. A click-based electrocorticographic brain-computer interface enables long-term high-performance switch-scan spelling. Res Sq [Preprint]. 2023 Sep 25:rs.3.rs-3158792. doi: 10.21203/rs.3.rs-3158792/v1. |
| 37425721 | Derived | Angrick M, Luo S, Rabbani Q, Candrea DN, Shah S, Milsap GW, Anderson WS, Gordon CR, Rosenblatt KR, Clawson L, Maragakis N, Tenore FV, Fifer MS, Hermansky H, Ramsey NF, Crone NE. Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS. medRxiv [Preprint]. 2023 Jul 1:2023.06.30.23291352. doi: 10.1101/2023.06.30.23291352. |
| D013568 |
| Pathological Conditions, Signs and Symptoms |
| D009468 | Neuromuscular Diseases |
| D020520 | Brain Infarction |
| D002545 | Brain Ischemia |
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D007238 | Infarction |
| D007511 | Ischemia |
| D010335 | Pathologic Processes |
| D009336 | Necrosis |
| D013118 | Spinal Cord Diseases |
| D016472 | Motor Neuron Disease |
| D019636 | Neurodegenerative Diseases |
| D057177 | TDP-43 Proteinopathies |
| D057165 | Proteostasis Deficiencies |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |