A novel neural prosthesis providing long-term electrocorticography recording and cortical stimulation for epilepsy and brain-computer interface.

OBJECTIVEWireless technology is a novel tool for the transmission of cortical signals. Wireless electrocorticography (ECoG) aims to improve the safety and diagnostic gain of procedures requiring invasive localization of seizure foci and also to provide long-term recording of brain activity for brain-computer interfaces (BCIs). However, no wireless devices aimed at these clinical applications are currently available. The authors present the application of a fully implantable and externally rechargeable neural prosthesis providing wireless ECoG recording and direct cortical stimulation (DCS). Prolonged wireless ECoG monitoring was tested in nonhuman primates by using a custom-made device (the ECoG implantable wireless 16-electrode [ECOGIW-16E] device) containing a 16-contact subdural grid. This is a preliminary step toward large-scale, long-term wireless ECoG recording in humans.METHODSThe authors implanted the ECOGIW-16E device over the left sensorimotor cortex of a nonhuman primate (Macaca fascicularis), recording ECoG signals over a time span of 6 months. Daily electrode impedances were measured, aiming to maintain the impedance values below a threshold of 100 KΩ. Brain mapping was obtained through wireless cortical stimulation at fixed intervals (1, 3, and 6 months). After 6 months, the device was removed. The authors analyzed cortical tissues by using conventional histological and immunohistological investigation to assess whether there was evidence of damage after the long-term implantation of the grid.RESULTSThe implant was well tolerated; no neurological or behavioral consequences were reported in the monkey, which resumed his normal activities within a few hours of the procedure. The signal quality of wireless ECoG remained excellent over the 6-month observation period. Impedance values remained well below the threshold value; the average impedance per contact remains approximately 40 KΩ. Wireless cortical stimulation induced movements of the upper and lower limbs, and elicited fine movements of the digits as well. After the monkey was euthanized, the grid was found to be encapsulated by a newly formed dural sheet. The grid removal was performed easily, and no direct adhesions of the grid to the cortex were found. Conventional histological studies showed no cortical damage in the brain region covered by the grid, except for a single microscopic spot of cortical necrosis (not visible to the naked eye) in a region that had undergone repeated procedures of electrical stimulation. Immunohistological studies of the cortex underlying the grid showed a mild inflammatory process.CONCLUSIONSThis preliminary experience in a nonhuman primate shows that a wireless neuroprosthesis, with related long-term ECoG recording (up to 6 months) and multiple DCSs, was tolerated without sequelae. The authors predict that epilepsy surgery could realize great benefit from this novel prosthesis, providing an extended time span for ECoG recording.

[1]  Yi Su,et al.  A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface , 2016, Sensors.

[2]  H. Yokoi,et al.  Electrocorticographic control of a prosthetic arm in paralyzed patients , 2012, Annals of neurology.

[3]  Guidelines Icnirp Guidelines for limiting exposure to time-varying electric, magnetic, and electromagnetic fields (up to 300 GHz) , 1998 .

[4]  R König,et al.  Surgical and neurological complications in a series of 708 epilepsy surgery procedures. , 1998, Neurosurgery.

[5]  J. Hahn,et al.  Complications of invasive video-EEG monitoring with subdural grid electrodes , 2002, Neurology.

[6]  Katiuscia Sacco,et al.  Preoperative and intraoperative brain mapping for the resection of eloquent-area tumors. A prospective analysis of methodology, correlation, and usefulness based on clinical outcomes , 2010, Acta Neurochirurgica.

[7]  Mitsuo Kawato,et al.  Brain-Machine Interface Using Brain Surface Electrodes: Real-Time Robotic Control and a Fully Implantable Wireless System , 2013 .

[8]  Kip A Ludwig,et al.  Tissue damage thresholds during therapeutic electrical stimulation , 2016, Journal of neural engineering.

[9]  H. Duffau Lessons from brain mapping in surgery for low-grade glioma: insights into associations between tumour and brain plasticity , 2005, The Lancet Neurology.

[10]  G. Ojemann,et al.  Cortical language localization in left, dominant hemisphere. An electrical stimulation mapping investigation in 117 patients. , 1989, Journal of neurosurgery.

[11]  Felice T. Sun,et al.  The RNS System: responsive cortical stimulation for the treatment of refractory partial epilepsy , 2014, Expert review of medical devices.

[12]  L. Shupe,et al.  The Neurochip-2: An Autonomous Head-Fixed Computer for Recording and Stimulating in Freely Behaving Monkeys , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[13]  R.V. Shannon,et al.  A model of safe levels for electrical stimulation , 1992, IEEE Transactions on Biomedical Engineering.

[14]  U. Ebeling,et al.  Tumour-surgery within the central motor strip: Surgical results with the aid of electrical motor cortex stimulation , 2005, Acta Neurochirurgica.

[15]  E. Sparrow,et al.  Potential tissue damage from transcutaneous recharge of neuromodulation implants , 2009 .

[16]  C. Rivard,et al.  In vivo biocompatibility testing of peek polymer for a spinal implant system: a study in rabbits. , 2002, Journal of biomedical materials research.

[17]  Robin C. Ashmore,et al.  An Electrocorticographic Brain Interface in an Individual with Tetraplegia , 2013, PloS one.

[18]  Guillaume Charvet,et al.  WIMAGINE: Wireless 64-Channel ECoG Recording Implant for Long Term Clinical Applications , 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[19]  Antonio G. Zippo,et al.  A novel wireless recording and stimulating multichannel epicortical grid for supplementing or enhancing the sensory-motor functions in monkey (Macaca fascicularis) , 2015, Front. Syst. Neurosci..

[20]  Jan Van der Spiegel,et al.  The PennBMBI: Design of a General Purpose Wireless Brain-Machine-Brain Interface System , 2015, IEEE Transactions on Biomedical Circuits and Systems.

[21]  Jeroen J Bos,et al.  The Lantern: An ultra-light micro-drive for multi-tetrode recordings in mice and other small animals , 2009, Journal of Neuroscience Methods.

[22]  R. Lesser,et al.  Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. I. Alpha and beta event-related desynchronization. , 1998, Brain : a journal of neurology.

[23]  Seung Bong Hong,et al.  Clinical Utility of Interictal High-Frequency Oscillations Recorded with Subdural Macroelectrodes in Partial Epilepsy , 2012, Journal of clinical neurology.

[24]  P. Wolf Thermal Considerations for the Design of an Implanted Cortical Brain–Machine Interface (BMI) , 2008 .

[25]  M M Haglund,et al.  Cortical localization of temporal lobe language sites in patients with gliomas. , 1994, Neurosurgery.

[26]  S. Ronner,et al.  Cortical mapping for defining the limits of tumor resection. , 1987, Neurosurgery.

[27]  Gary Lehew,et al.  Wireless Cortical Brain-Machine Interface for Whole-Body Navigation in Primates , 2016, Scientific Reports.

[28]  J. Schramm,et al.  Somatosensory evoked potential phase reversal and direct motor cortex stimulation during surgery in and around the central region. , 1996, Neurosurgery.

[29]  R. Wm Thermal Considerations for the Design of an Implanted Cortical Brain–Machine Interface (BMI) -- Indwelling Neural Implants: Strategies for Contending with the In Vivo Environment , 2008 .

[30]  Gian Nicola Angotzi,et al.  A programmable closed-loop recording and stimulating wireless system for behaving small laboratory animals , 2014, Scientific Reports.

[31]  P. Welch The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[32]  H. Lüders,et al.  Functional connectivity in the human language system: a cortico-cortical evoked potential study. , 2004, Brain : a journal of neurology.

[33]  N. Ramsey,et al.  Fully Implanted Brain-Computer Interface in a Locked-In Patient with ALS. , 2016, The New England journal of medicine.

[34]  David M. Himes,et al.  Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study , 2013, The Lancet Neurology.

[35]  N. Logothetis,et al.  Direct electrical stimulation of human cortex — the gold standard for mapping brain functions? , 2011, Nature Reviews Neuroscience.

[36]  Ayako Ochi,et al.  Complications of invasive subdural grid monitoring in children with epilepsy. , 2003, Journal of neurosurgery.

[37]  Jon A. Mukand,et al.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia , 2006, Nature.

[38]  R. Lesser,et al.  Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. II. Event-related synchronization in the gamma band. , 1998, Brain : a journal of neurology.

[39]  Andrew B. Schwartz,et al.  Brain-Controlled Interfaces: Movement Restoration with Neural Prosthetics , 2006, Neuron.

[40]  Thi Kim Thoa Nguyen,et al.  Closed-loop optical neural stimulation based on a 32-channel low-noise recording system with online spike sorting , 2014, Journal of neural engineering.

[41]  K. Jokela,et al.  ICNIRP Guidelines GUIDELINES FOR LIMITING EXPOSURE TO TIME-VARYING , 1998 .

[42]  A. Benabid,et al.  A Fully Integrated Wireless System for Intracranial Direct Cortical Stimulation, Real-Time Electrocorticography Data Transmission, and Smart Cage for Wireless Battery Recharge , 2014, Front. Neurol..

[43]  Guillaume Charvet,et al.  Deep brain stimulation: BCI at large, where are we going to? , 2011, Progress in brain research.