Estimation of Bidirectional Information Flow in The Human Brain From Evoked Potentials by Use of Dipole Tracing Method

Abstract

It is important to know the information flow between active regions in the brain for the elucidation of the information processing mechanism and for the disease detection in the human brain. In this paper, at first, we estimate dipoles (via 3-layered concentric spherical model, 2-dipole estimation) from evoked potentials. Secondary, using derived 2 dipole locations and moments as loci and quantities of brain activities, we analyze the information flow between the two time-series of the 1st and the 2nd dipole moments by use of the time-series analysis method based on the directed transinformation. We obtain bidirectional information flows between the neuronal activities localized in 3D space of the brain with respect to somatosensory evoked potentials measured with 21 electrodes arranged according to the international 10-20 standard by electrical stimulations on the median nerve of the right hand.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412496

Entities

People

  • Noriyuki Take
  • Toshimitsu Musha
  • Yukio Kosugi

Organizations

  • Tokyo Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Brain
  • Correlation Analysis
  • Dipole Moments
  • Electrodes
  • Electrophysiological Phenomena
  • Engineering
  • Experimental Data
  • Information Processing
  • Inverse Problems
  • Military Research
  • Models
  • Peripheral Nervous System
  • Production Models
  • Simplex Method
  • Standards
  • Steady State
  • Thalamus

Readers

  • Approximation Theory.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Neuroscience

Technology Areas

  • Space