[BrainConnexion] - Neurodevice Phase I Trial
Neurodevice Phase I: Wireless Implantable Neurodevice Microsystem for Neuroprosthesis and Neuroscience
1 other identifier
interventional
5
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Nov 2017
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 21, 2017
CompletedFirst Submitted
Initial submission to the registry
December 17, 2018
CompletedFirst Posted
Study publicly available on registry
January 22, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 27, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
August 27, 2023
CompletedMay 6, 2023
November 1, 2022
5.2 years
December 17, 2018
May 4, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
The number of serious adverse events (SAEs) and adverse events (AEs) reported per patient 12 months post-implantation.
The primary objective of this study is to determine the safety of the device. This will be assessed based on the number of SAEs and AEs reported for each patient during the 12 months post-implantation evaluation. This measure will considered a success if the device is not removed for safety reasons within 12-months after implantation.
6 months post-implant
Secondary Outcomes (4)
The signal quality of the electrodes for long-term recording of neural signals.
Day 1 to Day 365 post-implant
Decoding accuracy per training session.
Day 1 to Day 365 post-implant
Number of successful trials per session
Day 1 to Day 365 post-implant
Time taken to complete each trial per session
Day 1 to Day 365 post-implant
Study Arms (1)
Interventional
EXPERIMENTALWireless Implantable Neurodevice Microsystem
Interventions
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.
Eligibility Criteria
You may qualify if:
- years old and older
- Tetraparesis
- 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.
- Able to perform the pre-operation Brain Computer Interface training as judged by the research team.
You may not qualify if:
- Significant medical co-morbidities e.g. cardiac disease
- Bleeding disorders
- Any contraindication to surgery
- Other concomitant intracranial pathologies
- History of seizures or epilepsy disorder
- Complications of coagulopathy
- Surgically unfit
- Significant psychological issues e.g. Depression
- Poor psychological support
- Pregnancy
- No means of communication
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- National Neuroscience Institutelead
- Institute of Microelectronicscollaborator
- Institute of Molecular and Cell Biologycollaborator
- Institute for Infocomm Researchcollaborator
- Nanyang Technological Universitycollaborator
Study Sites (1)
National Neuroscience Institute
Singapore, 308433, Singapore
Related Publications (20)
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.
PMID: 27802344BACKGROUNDHochberg 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.
PMID: 16838014BACKGROUNDHochberg 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.
PMID: 22596161BACKGROUNDCollinger 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.
PMID: 23253623BACKGROUNDAflalo 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.
PMID: 25999506BACKGROUNDSchwarz 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.
PMID: 24776634BACKGROUNDYin 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.
PMID: 25482026BACKGROUNDZaaroor 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.
PMID: 17041833BACKGROUNDLee, 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.
BACKGROUNDCheng, 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.
BACKGROUNDCheng, 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.
BACKGROUNDZou, 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.
BACKGROUNDChristopher and Dana Reeve Foundation. Christopher and Dana Reeve Foundation. https://www.christopherreeve.org/. Published 2016.
BACKGROUNDTechnical specifications for short range devices - Issue 1 Rev 7, Apr 2013. https://www.ida.gov.sg/~/media/Files/PCDG/Licensees/StandardsQoS/RadiocomEquipStd/TSSRD.pdf
BACKGROUNDLiu 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.
BACKGROUNDRebsamen 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.
PMID: 20460212BACKGROUNDRosa 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.
PMID: 28269554BACKGROUNDSo 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.
BACKGROUNDXu 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.
BACKGROUNDXu 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.
PMID: 25570634BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 17, 2018
First Posted
January 22, 2019
Study Start
November 21, 2017
Primary Completion
January 27, 2023
Study Completion
August 27, 2023
Last Updated
May 6, 2023
Record last verified: 2022-11