1991 Fiscal Year Final Research Report Summary
Computer Analysis of Electroencephalogram in Clinical Veterinary Medicine.
| Project/Area Number |
01480105
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| Research Category |
Grant-in-Aid for General Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Applied veterinary science
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| Research Institution | Yamaguchi University, Faculty of Agriculture |
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Principal Investigator |
MATSUMOTO Haruyasu Yamaguchi University, Department of Veterinary Internal Medicine, Professor, 農学部, 教授 (40081541)
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| Co-Investigator(Kenkyū-buntansha) |
UZUKA Yuji Yamaguchi University, Department of Veterinary Internal Medicine, Research Assoc, 農学部, 助手 (30151913)
TOKURIKI Mikehiko Yamaguchi University, Department of Veterinary Physiology, Professor, 農学部, 教授 (60012001)
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| Project Period (FY) |
1989 – 1991
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| Keywords | Electroencephalography / Spectral Analysis / Topographic Mapping / Epilepsy / Hydrocephalus / Slow Frequency Components / Desynchrorization / Quantitazation・Visualization |
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| Research Abstract |
Clinical application of electroencephaolgraphy is a well-developed discipline in veterinary medicine, and frequency analysis (spectral analysis) and topographic mapping are techniques gaining popularity in the clinical community. Both analysis were studied prospectively in 40 patients with spontaneous neurologic disease to see if those tests could help find the abnormality. 6 of 9 patients with epilepsy showed the abnormal spectral patterns compared with normal spectrum. Power spectral analysis made a majority of slow wave to be quantitative in four dogs with hydrocephalus. Desynchronization was recognized as increase of power in bipolar leads. In neurologic patients, significant increase in total power were showed by frequency analysis. Topographic mapping tests suggest diffusal high density distribution from animals with epilepsy, hydrocephalus, seizure, visual dysfunction, and ananastasia. Localizations or asymmetries of slow frequency components were identified were recognized in patients with epilepsy, mastadenoma, seizure, and head tilt. In 15 cases of 17 animals with neurologic disorders, topographic distributions were judged as abnormal patterns. Overall, it was thought that electroencephalography quantitazation by spectral analysis might be possible and visualization by topographic analysis could accurately predict the laterality or localization in low frequency components. So, frequency analysis and topographic mapping were useful technique to evaluate electroencephalography in clinical veterinary medicine, because those analysis made the estimation of electroencephalography easy. Hereafter, valuability of those tests was rised in combination with the other anatomical examinations, though considerable care needs to be taken to identify artifacts and normal electroencephalography variants when interpreting these tests.
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