title: Making the lifetime connection between brain and machine for restoring and enhancing function.
abstract: A reliable neural interface that lasts a lifetime will lead to the development of neural prosthetic devices as well as the possibility that brain function can be enhanced. Our data demonstrate that a reliable neural interface is best achieved when the surrounding neuropil grows into the electrode tip where it is held securely, allowing myelinated axons to be recorded using implanted amplifiers. Stable single and multiunits were recorded from three implanted subjects and classified according to amplitudes and firing rates. In one paralyzed and mute subject implanted for over 5 years with a double electrode in the speech motor cortex, the single units allowed recognition of over half the 39 English language phonemes detected using a variety of decoding methods. These single units were used by the subject in a speech task where vowel phonemes were recognized and fed back to the subject using audio output. Weeks of training resulted in an 80% success rate in producing four vowels in an adaptation of the classic center-out task used in motor control studies. The importance of using single units was shown in a different task using pure tones that the same subject heard and then sung or hummed in his head. Feedback was associated with smoothly coordinated unit firings. The plasticity of the unit firings was demonstrated over several sessions first without, and then with, feedback. These data suggest that units can be reliably recorded over years, that there is an inverse relationship between single unit firing rate and amplitude, that pattern recognition decoding paradigms can allow phoneme recognition, that single units appear more important than multiunits when precision is important, and that units are plastic in their functional relationships. These characteristics of a reliable neural interface are essential for the development of neural prostheses and also for the future enhancement of human brain function.
authors.affiliation: Neural Signals Inc., Duluth, GA, USA. phil@neuralsignals.com
authors.forename: Philip
authors.initials: P
authors.lastname: Kennedy
authors.forename: Dinal
authors.initials: D
authors.lastname: Andreasen
authors.forename: Jess
authors.initials: J
authors.lastname: Bartels
authors.forename: Princewill
authors.initials: P
authors.lastname: Ehirim
authors.forename: Hui
authors.initials: H
authors.lastname: Mao
authors.forename: Meel
authors.initials: M
authors.lastname: Velliste
authors.forename: Thomas
authors.initials: T
authors.lastname: Wichmann
authors.forename: Joe
authors.initials: J
authors.lastname: Wright
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000328:Adult; D000818:Animals; D003142:Communication; D003143:Communication Devices for People with Disabilities; D004567:Electrodes, Implanted; D004569:Electroencephalography / Q000295:instrumentation / Q000379:methods; D006801:Humans; D008297:Male; D008875:Middle Aged; D009044:Motor Cortex / Q000033:anatomy & histology / Q000502:physiology*; D009474:Neurons / Q000502:physiology; D013060:Speech; D014584:User-Computer Interface