The Application of a Superconducting Quantum Interference Device Second-Order Gradiometer to Measure Visual Evoked Responses.

Abstract

The acquisition of a Superconducting Quantum Interference Device (SQUID) gradiometer, along with the previous research which led to the first cortical implant of a multiplexed multi-electrode semiconductor brain electrode, motivated the use of the SQUID second-order gradiometer to measure visual evoked responses (VER) from humans, and from the canine which had previously had the AFIT brain electrode implanted and removed. Some discussion of the current dipole model for the fields measured from the brain is presented. The human visual evoked responses picked up by gradiometer were compared to previous human electroencephalograph visual evoked responses, and were found to have similar latencies. The canine visual evoked responses which were measured by the gradiometer had similar initial waveform and latencies, but then dampen out more rapidly than the waveforms measured by the AFIT brain chip. Conclusions about the use of a SQUID gradiometer in measuring visual evoked responses, along with comparisons between the EEG and AFIT brain chip data versus the SQUID data is discussed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1983
Accession Number
ADA138407

Entities

People

  • R. D. Murray

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Analyzers
  • Brain
  • Central Nervous System
  • Detection
  • Detectors
  • Electrical Engineering
  • Flux Density
  • Health Services
  • Magnetic Fields
  • Magnetic Flux Density
  • Magnetometers
  • Measurement
  • Medical Personnel
  • Nervous System
  • Semiconductors
  • Visual Cortex

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Superconducting Magnet Technology
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • Microelectronics
  • Microelectronics - Graphene
  • Microelectronics - Microelectromechanical Systems
  • Quantum Computing