• DocumentCode
    1354572
  • Title

    Spectral analysis of a thalamus-to-cortex seizure pathway

  • Author

    Sherman, David Lee ; Tsai, Yien Che ; Rossell, Lisa Ann ; Mirski, Marek A. ; Thakor, Nitish V.

  • Author_Institution
    Dept. of Biomed. Eng., Johns Hopkins Univ., Baltimore, MD, USA
  • Volume
    44
  • Issue
    8
  • fYear
    1997
  • Firstpage
    657
  • Lastpage
    664
  • Abstract
    Physiological evidence has shown that the anterior thalamus (AN) and its associated efferents/afferents constitute an important propagation pathway for one animal model of generalized tonic clonic epileptic seizures. In this study the authors extend and confirm the support for AN´s role by examining neuro-electric signal indicators during seizure episodes. They show that the electroencephalogram (EEG) recorded from AN is highly coherent with the EEG derived from the cortex (CTX). By removing the effects of another thalamic nucleus, posterior thalamus (PT)-unaffiliated with the tract linking AN to cortex-partial coherence analysis leaves the CTX/AN coherence undiminished. The most robust band of strong CTX-AN coherence is centered around the spike wave pacing frequency of 1-3 Hz. Partial-multiple coherence analysis techniques are used to remove the possible signal contributions from hippocampus in addition to PT. The CTX-AN coherence still remains undiminished in the low-frequency bands. Conclusive evidence from coherence studies and other spectral measures reaffirm the special role of the AN in the propagation of seizure activity from subcortex to cortex.
  • Keywords
    electroencephalography; medical signal processing; spectral analysis; 1 to 3 Hz; EEG spectral analysis; animal model; anterior thalamus; generalized tonic clonic epileptic seizures; neuroelectric signal indicators; partial-multiple coherence analysis techniques; physiological evidence; propagation pathway; spike wave pacing frequency; subcortex; thalamus-to-cortex seizure pathway; Animals; Brain modeling; Coherence; Electroencephalography; Epilepsy; Frequency; Joining processes; Robustness; Signal analysis; Spectral analysis; Analog-Digital Conversion; Analysis of Variance; Animals; Cerebral Cortex; Electroencephalography; Epilepsy; Male; Models, Neurological; Rats; Rats, Sprague-Dawley; Seizures; Signal Processing, Computer-Assisted; Thalamus;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.605422
  • Filename
    605422