[BrainConnexion] - Neurodevice Phase I Trial

NCT ID: NCT03811301

Last Updated: 2023-05-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

5 participants

Study Classification

INTERVENTIONAL

Study Start Date

2017-11-21

Study Completion Date

2023-08-27

Brief Summary

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This study aims to evaluate the safety of a wireless implantable neurodevice microsystem in tetraplegic patients, as well as the efficacy of the electrodes for long-term recording of neural activities and the successful control of an external device.

Detailed Description

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The goal of this study is to develop a miniaturized wireless implantable neurodevice microsystem that records and transmits signals from the motor cortex of tetraplegic patients, bypassing the damaged nervous tissue, to control an external assistive device that restores some form of independence to patients in terms of communication or mobility.

Conditions

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Tetraplegia Tetraplegia/Tetraparesis Spinal Cord Injuries Amyotrophic Lateral Sclerosis Motor Neuron Disease Locked-in Syndrome Muscular Dystrophies

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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Interventional

Wireless Implantable Neurodevice Microsystem

Group Type EXPERIMENTAL

BrainConnexion

Intervention Type DEVICE

A 4.4mm by 4.2mm electrode array is placed onto the surface of the motor cortex which is then connected to a miniaturized neural recording microsystem that transmits signals wirelessly to control an external assistive device. Neural signals are recorded at least once every week for 12 months or longer.

Interventions

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BrainConnexion

A 4.4mm by 4.2mm electrode array is placed onto the surface of the motor cortex which is then connected to a miniaturized neural recording microsystem that transmits signals wirelessly to control an external assistive device. Neural signals are recorded at least once every week for 12 months or longer.

Intervention Type DEVICE

Other Intervention Names

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Neurodevice NeuroPort

Eligibility Criteria

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Inclusion Criteria

1. 21 years old and older
2. Tetraparesis
3. Written informed consent obtained from the patient or legal representative (in the event where the patient is unable to provide consent) prior to entry into the study in accordance with local EC/IRB regulations and/or other application regulations for surrogate consent.
4. Able to perform the pre-operation Brain Computer Interface training as judged by the research team.

Exclusion Criteria

1. Significant medical co-morbidities e.g. cardiac disease
2. Bleeding disorders
3. Any contraindication to surgery
4. Other concomitant intracranial pathologies
5. History of seizures or epilepsy disorder
6. Complications of coagulopathy
7. Surgically unfit
8. Significant psychological issues e.g. Depression
9. Poor psychological support
10. Pregnancy
11. No means of communication
12. Any disease, in the opinion of the Investigator, that is unstable or which could jeopardise the safety of the patient

If applicable, psychological assessment may be performed prior to selection as the implantation process will be a long a stressful event, requiring a significant degree of patient cooperation and resilience.
Minimum Eligible Age

21 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Institute of Microelectronics

UNKNOWN

Sponsor Role collaborator

Institute of Molecular and Cell Biology

UNKNOWN

Sponsor Role collaborator

Institute for Infocomm Research

OTHER

Sponsor Role collaborator

Nanyang Technological University

OTHER

Sponsor Role collaborator

National Neuroscience Institute

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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National Neuroscience Institute

Singapore, , Singapore

Site Status

Countries

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Singapore

References

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Libedinsky C, So R, Xu Z, Kyar TK, Ho D, Lim C, Chan L, Chua Y, Yao L, Cheong JH, Lee JH, Vishal KV, Guo Y, Chen ZN, Lim LK, Li P, Liu L, Zou X, Ang KK, Gao Y, Ng WH, Han BS, Chng K, Guan C, Je M, Yen SC. Independent Mobility Achieved through a Wireless Brain-Machine Interface. PLoS One. 2016 Nov 1;11(11):e0165773. doi: 10.1371/journal.pone.0165773. eCollection 2016.

Reference Type BACKGROUND
PMID: 27802344 (View on PubMed)

Hochberg LR, Serruya MD, Friehs GM, Mukand JA, Saleh M, Caplan AH, Branner A, Chen D, Penn RD, Donoghue JP. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature. 2006 Jul 13;442(7099):164-71. doi: 10.1038/nature04970.

Reference Type BACKGROUND
PMID: 16838014 (View on PubMed)

Hochberg LR, Bacher D, Jarosiewicz B, Masse NY, Simeral JD, Vogel J, Haddadin S, Liu J, Cash SS, van der Smagt P, Donoghue JP. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature. 2012 May 16;485(7398):372-5. doi: 10.1038/nature11076.

Reference Type BACKGROUND
PMID: 22596161 (View on PubMed)

Collinger JL, Wodlinger B, Downey JE, Wang W, Tyler-Kabara EC, Weber DJ, McMorland AJ, Velliste M, Boninger ML, Schwartz AB. High-performance neuroprosthetic control by an individual with tetraplegia. Lancet. 2013 Feb 16;381(9866):557-64. doi: 10.1016/S0140-6736(12)61816-9. Epub 2012 Dec 17.

Reference Type BACKGROUND
PMID: 23253623 (View on PubMed)

Aflalo T, Kellis S, Klaes C, Lee B, Shi Y, Pejsa K, Shanfield K, Hayes-Jackson S, Aisen M, Heck C, Liu C, Andersen RA. Neurophysiology. Decoding motor imagery from the posterior parietal cortex of a tetraplegic human. Science. 2015 May 22;348(6237):906-10. doi: 10.1126/science.aaa5417.

Reference Type BACKGROUND
PMID: 25999506 (View on PubMed)

Schwarz DA, Lebedev MA, Hanson TL, Dimitrov DF, Lehew G, Meloy J, Rajangam S, Subramanian V, Ifft PJ, Li Z, Ramakrishnan A, Tate A, Zhuang KZ, Nicolelis MA. Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys. Nat Methods. 2014 Jun;11(6):670-6. doi: 10.1038/nmeth.2936. Epub 2014 Apr 28.

Reference Type BACKGROUND
PMID: 24776634 (View on PubMed)

Yin M, Borton DA, Komar J, Agha N, Lu Y, Li H, Laurens J, Lang Y, Li Q, Bull C, Larson L, Rosler D, Bezard E, Courtine G, Nurmikko AV. Wireless neurosensor for full-spectrum electrophysiology recordings during free behavior. Neuron. 2014 Dec 17;84(6):1170-82. doi: 10.1016/j.neuron.2014.11.010. Epub 2014 Dec 4.

Reference Type BACKGROUND
PMID: 25482026 (View on PubMed)

Zaaroor M, Kosa G, Peri-Eran A, Maharil I, Shoham M, Goldsher D. Morphological study of the spinal canal content for subarachnoid endoscopy. Minim Invasive Neurosurg. 2006 Aug;49(4):220-6. doi: 10.1055/s-2006-948000.

Reference Type BACKGROUND
PMID: 17041833 (View on PubMed)

Lee, K., Singh, A., He, J., Massia, S., Kim, B., & Raupp, G. (2004). Polyimide based neural implants with stiffness improvement. Sensors Actuators B Chem,102(1), 67-72. doi: 10.1016/j.snb.2003.10.018.

Reference Type BACKGROUND

Cheng, M. Y., Je, M., Tan, K. L., et al. (2013). A low-profile three-dimensional neural probe array using a silicon lead transfer structure. J Micromechanics Microengineering, 23(9), 095013. doi:10.1088/0960-1317/23/9/095013.

Reference Type BACKGROUND

Cheng, M. Y., Yao, L., Tan, K. L., Lim, R., Li, P., & Chen, W. (2014). 3D probe array integrated with a front-end 100-channel neural recording ASIC. J Micromechanics Microengineering, 24(12), 125010. doi:10.1088/0960-1317/24/12/125010.

Reference Type BACKGROUND

Zou, X., Liu, L., Cheong, J. H., et al. (2013). A 100-Channel 1-mW implantable neural recording IC. IEEE Trans Circuits Syst I Regul Pap, 60(10), 2584-2596. doi:10.1109/TCSI.2013.2249175.

Reference Type BACKGROUND

Christopher and Dana Reeve Foundation. Christopher and Dana Reeve Foundation. https://www.christopherreeve.org/. Published 2016.

Reference Type BACKGROUND

Technical specifications for short range devices - Issue 1 Rev 7, Apr 2013. https://www.ida.gov.sg/~/media/Files/PCDG/Licensees/StandardsQoS/RadiocomEquipStd/TSSRD.pdf

Reference Type BACKGROUND

Liu X, Zhou J, Wang C, et al. An Ultralow-Voltage Sensor Node Processor With Diverse Hardware Acceleration and Cognitive Sampling for Intelligent Sensing. IEEE Trans Circuits Syst II Express Briefs. 2015;62(12):1149-1153. doi:10.1109/TCSII.2015.2468927.

Reference Type BACKGROUND

Rebsamen B, Guan C, Zhang H, Wang C, Teo C, Ang MH Jr, Burdet E. A brain controlled wheelchair to navigate in familiar environments. IEEE Trans Neural Syst Rehabil Eng. 2010 Dec;18(6):590-8. doi: 10.1109/TNSRE.2010.2049862. Epub 2010 May 10.

Reference Type BACKGROUND
PMID: 20460212 (View on PubMed)

Rosa So, Libedinsky C, Kai Keng Ang, Wee Chiek Clement Lim, Kyaw Kyar Toe, Cuntai Guan. Adaptive decoding using local field potentials in a brain-machine interface. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:5721-5724. doi: 10.1109/EMBC.2016.7592026.

Reference Type BACKGROUND
PMID: 28269554 (View on PubMed)

So RQ, Xu Z, Libedinsky C., Ang KK, Toe KK, Yen SC, Guan CT (2015) Neural Representations of Movement during Brain-Controlled Self-Motion. Conf Proc 7th International IEEE EMBS Conference on Neural Engineering.

Reference Type BACKGROUND

Xu Z, Guan CT, So RQ, Ang KK, Toe KK. (2015) Motor Cortical Adaptation Induced by Closed-Loop BCI. Conf Proc 7th International IEEE EMBS Conference on Neural Engineering.

Reference Type BACKGROUND

Xu Z, So RQ, Toe KK, Ang KK, Guan C. On the asynchronously continuous control of mobile robot movement by motor cortical spiking activity. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3049-52. doi: 10.1109/EMBC.2014.6944266.

Reference Type BACKGROUND
PMID: 25570634 (View on PubMed)

Other Identifiers

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BrainConnexion

Identifier Type: -

Identifier Source: org_study_id

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