OBJECTIVE: The purpose of this study was to use computational modeling to better understand factors that impact neural recordings with @entity6619 microelectrodes used in brain-machine interfaces. METHODS: A non-linear cable model of a layer V pyramidal cell was coupled with a finite-element electric field model with explicit representation of the microelectrode. The model system enabled analysis of extracellular neural recordings as a function of the electrode contact size, neuron position, @entity4 , and chronic encapsulation. RESULTS: The model predicted spike waveforms and amplitudes that were consistent with experimental recordings. Small (< 1000 microm2) and large (10 k microm2) electrode contacts had similar volumes of recording sensitivity, but small contacts exhibited higher signal amplitudes (approximately 50%) when neurons were in close proximity (50 microm) to the electrode. The model results support the notion that acute @entity4 causes a signal decrease ( approximately 24%), and certain encapsulation conditions can result in a signal increase (approximately 17%), a mechanism that may contribute to signal increases observed experimentally in chronic recordings. CONCLUSIONS: Optimal electrode design is application-dependent. Small and large contact sizes have contrasting recording properties that can be exploited in the design process. In addition, the presence of local electrical inhomogeneities (encapsulation, @entity4 , @entity8038 ) around the electrode @entity17237 can substantially influence neural recordings and requires further theoretical and experimental investigation. SIGNIFICANCE: Thought-controlled devices using cortical command signals have exciting therapeutic potential for @entity1 with @entity51 . The results of this study provide the foundation for refining and optimizing microelectrode design for @entity1 brain-machine interfaces.

Model-based analysis of cortical recording with XXXX microelectrodes.

@entity1 :: ('9606', 'Species') :: ['human', 'persons'] @entity4 :: ('MESH:D004487', 'Disease') :: ['edema'] @entity17237 :: ('22941', 'Gene') :: ['shank'] @entity8038 :: ('MESH:D058456', 'Disease') :: ['coatings'] @entity51 :: ('MESH:D009461', 'Disease') :: ['neurological deficit'] @entity6619 :: ('MESH:D012825', 'Chemical') :: ['silicon']
@entity6619 :: (MESH:D012825,Chemical) :: ['silicon']
