Prefrontal cortical recordings with biomorphic MEAs reveal complex columnar-laminar microcircuits for BCI/BMI implementation

Ioan Opris, Joshua L. Fuqua, Greg A. Gerhardt, Robert E. Hampson, Samuel A. Deadwyler

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

The mammalian prefrontal cortex known as the seat of high brain functions uses a six layer distribution of minicolumnar neurons to coordinate the integration of sensory information and the selection of relevant signals for goal driven behavior. To reveal the complex functionality of these columnar microcircuits we employed simultaneous recordings with several configurations of biomorphic microelectrode arrays (MEAs) within cortical layers in adjacent minicolumns, in four nohuman primates (NHPs) performing a delayed match-to-sample (DMS) visual discrimination task. We examined: (1) the functionality of inter-laminar, and inter-columnar interactions between pairs of cells in the same or different minicolumns by use of normalized cross-correlation histograms (CCH), (2) the modulation of glutamate concentration in layer 2/3, and (3) the potential interactions within these microcircuits. The results demonstrate that neurons in both infra-granular and supra-granular layers interact through inter-laminar loops, as well as through intra-laminar to produce behavioral response signals. These results provide new insights into the manner in which prefrontal cortical microcircuitry integrates sensory stimuli used to provide behaviorally relevant signals that may be implemented in brain computer/machine interfaces (BCI/BMIs) during performance of the task.

Original languageEnglish
Pages (from-to)104-113
Number of pages10
JournalJournal of Neuroscience Methods
Volume244
DOIs
StatePublished - Apr 5 2015

Bibliographical note

Publisher Copyright:
© 2014 Elsevier B.V.

Keywords

  • Columnar processing
  • Executive control
  • Glutamate modulation
  • Microcircuits
  • Nonhuman primates
  • Prefrontal cortex

ASJC Scopus subject areas

  • General Neuroscience

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