Long-term stability of the chronic epidural wireless recorder WIMAGINE in tetraplegic patients
Open accessAbstract
Objective. The evaluation of the long-term stability of ElectroCorticoGram (ECoG) signals is an important scientific question as new implantable recording devices can be used for medical purposes such as Brain-Computer Interface (BCI) or brain monitoring. Approach. The long-term clinical validation of wireless implantable multi-channel acquisition system for generic interface with neurons (WIMAGINE), a wireless 64-channel epidural ECoG recorder was investigated. The WIMAGINE device was implanted in two quadriplegic patients within the context of a BCI protocol. This study focused on the ECoG signal stability in two patients bilaterally implanted in June 2017 (P1) and in November 2019 (P2). Methods . The ECoG signal was recorded at rest prior to each BCI session resulting in a 32 month and in a 14 month follow-up for P1 and P2 respectively. State-of-the-art signal evaluation metrics such as root mean square (RMS), the band power (BP), the signal to noise ratio (SNR), the effective bandwidth (EBW) and the spectral edge frequency (SEF) were used to evaluate stability of signal over the implantation time course. The time-frequency maps obtained from task-related motor activations were also studied to investigate the long-term selectivity of the electrodes. Main results. Based on temporal linear regressions, we report a limited decrease of the signal average level (RMS), spectral distribution (BP) and SNR, and a remarkable steadiness of the EBW and SEF. Time-frequency maps obtained during motor imagery, showed a high level of discrimination 1 month after surgery and also after 2 years. Conclusions. The WIMAGINE epidural device showed high stability over time. The signal evaluation metrics of two quadriplegic patients during 32 months and 14 months respectively provide strong evidence that this wireless implant is well-suited for long-term ECoG recording. Significance. These findings are relevant for the future of implantable BCIs, and could benefit other patients with spinal cord injury, amyotrophic lateral sclerosis, neuromuscular diseases or drug-resistant epilepsy.
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A comparable robustness and stability of this computational and technological brain decoding framework has now been observed in two additional individuals with tetraplegia.
“Third, a comparable robustness and stability of this computational and technological brain decoding framework has now been observed in two additional individuals with tetraplegia3,26,29.”
From Walking naturally after spinal cord injury using a brain–spine interface (2023) · cites this paper as [29]
The Discussion and Conclusion report stable WIMAGINE recordings in two tetraplegic patients enrolled in a BCI protocol. They do not establish comparable robustness of the full computational brain-decoding framework in two additional individuals: the paper evaluates recorder signals, and the Discussion says training for patient 2 was ongoing. (LLM, conf=0.87)
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Walking naturally after spinal cord injury using a brain–spine interface
Lorach, H., Galvez, A., Spagnolo, V., Martel, F., Karakas, S., Intering, N., Vat, M., Faivre, O., Harte, C., Komi, S., et al. (2023) · Nature · doi:10.1038/s41586-023-06094-5 · Cited by 631 · see citing works
“Third, a comparable robustness and stability of this computational and technological brain decoding framework has now been observed in two additional individuals with tetraplegia 3,26,29 .”
BackgroundSelf-citationMoly, A., Costecalde, T., Martel, F., Martin, M., Larzabal, C., Karakas, S., Verney, A., Charvet, G., Chabardes, S., Benabid, A. L., et al. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac59a0 · Cited by 65 · see citing works
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- Authors
- Larzabal, C., Bonnet, S., Costecalde, T., Auboiroux, V., Charvet, G., Chabardes, S., Aksenova, T., & Sauter-Starace, F.
- Affiliations
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- Corresponding author
- Sauter-Starace, Fabien
- ORCID
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2021-09-09
- Volume
- 18
- Issue
- 5
- Pages
- 056026
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- OpenAlex
- W3194083387
- Cited by
- 37
- References
- 51
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 6 · 2023: 9 · 2022: 6 · 2021: 1
- FWCI
- 2.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- Fondation Philanthropique Edmond J Safra
- Fondation Motrice
- Fondation Nanosciences
- Fonds de Dotation Clinatec
- French Ministry of Health (PHRC-15-15-0124)
- Institut Carnot
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Keywords
- tetraplegia, brain-computer interface, quadriplegic patients, signal-to-noise ratio, effective bandwidth, spectral edge frequency, band power, motor imagery, electrode selectivity, spinal cord injury
- MeSH terms
- Electrocorticography, Brain, Electrodes, Implanted, Electroencephalography, Epidural Space, Humans, Wireless Technology, Brain-Computer Interfaces
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