Wireless micro-ECoG recording in primates during reach-to-grasp movements

Electrocorticographic (ECoG) signals have emerged as a prominent neural interface signal modality due to their high bandwidth and availability in human subjects. We present a system for wireless recording of micro-ECoG activity in a primate performing reach-to-grasp movements. The system is comprised of a head-mounted interface, off-the-shelf receiver module, and custom software written in Labview for real-time data monitoring and storage. The head-mounted interface is composed of a custom-designed VLSI neural recording front, a commercially available FSK transmitter module, a digital interface, and a battery. The system offers a fixed gain of 40 dB, programmable bandwidth settings in the 0.1 Hz to 8.2 kHz range, digital gain of 1–16, and ADC resolution of 8–12 bits. The interface consumes 6.7 mA of current from a 3.7 V battery and transmits digitized data at 1 Mbps rate. The system offers less than 0.25% dropped packets at 3m non-line-of-sight distance. We then used the wirelessly recorded ECoG signal from the dorsal premotor cortex region to decode the movement state of the animal. The ECoG spectral features could decode the movement state, achieving close to 70% accuracy as early as 100 ms prior to actual movement onset. Our system offers a new avenue for future ECoG-based brain-machine interface systems.

[1]  Naoshige Uchida,et al.  A wireless multi-channel neural amplifier for freely moving animals , 2011, Nature Neuroscience.

[2]  José del R. Millán,et al.  Towards Brain-Computer Interfacing , 2007 .

[3]  J. Wolpaw,et al.  Decoding flexion of individual fingers using electrocorticographic signals in humans , 2009, Journal of neural engineering.

[4]  Damien Lapray,et al.  A novel miniature telemetric system for recording EEG activity in freely moving rats , 2008, Journal of Neuroscience Methods.

[5]  Andrew Jackson,et al.  An autonomous implantable computer for neural recording and stimulation in unrestrained primates , 2005, Journal of Neuroscience Methods.

[6]  N. Thakor,et al.  Electrocorticographic amplitude predicts finger positions during slow grasping motions of the hand , 2010, Journal of neural engineering.

[7]  P. Mitra,et al.  Analysis of dynamic brain imaging data. , 1998, Biophysical journal.

[8]  David P Wolfer,et al.  Miniature neurologgers for flying pigeons: multichannel EEG and action and field potentials in combination with GPS recording. , 2006, Journal of neurophysiology.

[9]  Naotaka Fujii,et al.  Long-Term Asynchronous Decoding of Arm Motion Using Electrocorticographic Signals in Monkeys , 2009, Front. Neuroeng..

[10]  R. Andersen,et al.  Cortical Local Field Potential Encodes Movement Intentions in the Posterior Parietal Cortex , 2005, Neuron.

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

[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]  Mohsen Mollazadeh,et al.  Micropower CMOS Integrated Low-Noise Amplification, Filtering, and Digitization of Multimodal Neuropotentials , 2009, IEEE Transactions on Biomedical Circuits and Systems.

[14]  R.R. Harrison,et al.  HermesC: Low-Power Wireless Neural Recording System for Freely Moving Primates , 2009, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[15]  R. Davoodi,et al.  Cortical control of reach and grasp kinematics in a virtual environment using musculoskeletal modeling software , 2011, 2011 5th International IEEE/EMBS Conference on Neural Engineering.

[16]  Robert E. Hampson,et al.  A wireless recording system that utilizes Bluetooth technology to transmit neural activity in freely moving animals , 2009, Journal of Neuroscience Methods.

[17]  Reid R. Harrison,et al.  A wireless neural/EMG telemetry system for freely moving insects , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

[18]  Teresa H. Y. Meng,et al.  HermesB: A Continuous Neural Recording System for Freely Behaving Primates , 2007, IEEE Transactions on Biomedical Engineering.

[19]  E. Niebur,et al.  Neural Correlates of High-Gamma Oscillations (60–200 Hz) in Macaque Local Field Potentials and Their Potential Implications in Electrocorticography , 2008, The Journal of Neuroscience.

[20]  Mohsen Mollazadeh,et al.  A VLSI Neural Monitoring System With Ultra-Wideband Telemetry for Awake Behaving Subjects , 2011, IEEE Transactions on Biomedical Circuits and Systems.