Electrophysiological mapping of cat primary auditory cortex with multielectrode arrays

The present study employs simultaneous multielectrode recording techniques to study the feline primary auditory cortex (AI) to characterize its functional architecture. High electrode-count microelectrode arrays provide a high spatial and temporal view of AI, but at the potential cost of significant...

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Bibliographic Details
Published inAnnals of biomedical engineering Vol. 34; no. 2; pp. 300 - 309
Main Authors Kim, Seung-Jae, Manyam, Sandeep C, Warren, David J, Normann, Richard A
Format Journal Article
LanguageEnglish
Published United States Springer Nature B.V 01.02.2006
Subjects
Acoustic Stimulation
Action Potentials - physiology
Animals
Arrays
Auditory Cortex - physiology
Brain Mapping - instrumentation
Cats
Electrodes
Electrodes, Implanted
Electroencephalography - methods
Electrophysiology - instrumentation
Equipment Design
Equipment Failure Analysis
Evoked Potentials, Auditory - physiology
Microelectrodes
Nerve Net - physiology
Neurology
Spatial distribution
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Summary:The present study employs simultaneous multielectrode recording techniques to study the feline primary auditory cortex (AI) to characterize its functional architecture. High electrode-count microelectrode arrays provide a high spatial and temporal view of AI, but at the potential cost of significant cortical insult. However, the number of electrodes that record single- and multiunit action potentials shown in this study suggest that the implantation of high electrode-count microelectrode arrays allows for reliable recordings from the cortex and that the neurons abutting the electrode tips appear to be spared from significant insult. Using these recordings, we have constructed a functional model of AI that best specifies the distribution of characteristic frequencies (CF's), and have reaffirmed that CF is logarithmically distributed across the cortical surface with a principal CF axis perpendicular to generally straight isofrequency contours. In four cats, we found that the average CF gradient was 0.53 +/- 0.08 octave per millimeter. This study demonstrates the use of high electrode count, microelectrode array recordings in characterizing the spatial distribution of acoustic information in the feline AI.
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ISSN:0090-6964
1573-9686
DOI:10.1007/s10439-005-9037-9