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Changes of Human Somatosensory Evoked Response in the Course of Insulin Hypoglycemic Coma
Author(s) -
IKUTA Takumi
Publication year - 1969
Publication title -
psychiatry and clinical neurosciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.609
H-Index - 74
eISSN - 1440-1819
pISSN - 1323-1316
DOI - 10.1111/j.1440-1819.1969.tb02871.x
Subject(s) - somatosensory system , coma (optics) , somatosensory evoked potential , audiology , neuroscience , psychology , medicine , mathematics , physics , optics
SUMMARY The changes of human Somatosensory Evoded Response (SER) in the course of insulin hypoglycemic coma were invest gated, referring to the changes of EEG and of clinical manifestations. As the indicators for the analysis of SER pattern, latencies of components and amplitudes between the given pair of components, which were based on the subjective judgement of investigators specifying the components, were used besides visual analysis. Further, SER patterns were converted into the series of numbers, then subjected to off‐line computation according to the formulae, in order to express quantitatively and completely objectively the deviation of the given SER pattern from the primary SER pattern. The results derived from each indicators were compared.1) In the primary SER pattern of the subject, components N 1 , P 1 , N 2 , P 2 , N 3 , P 3 , N 4 , P 4 and N 5 with the latencies of 16, 23, 31, 40, 59, 112, 196, 310 and 416 msec, respectively, were specified. 2) At the maximal change, the increase of P 1 , N 3 , P 3 and N 4 was remarkable. 3) The latencies increased to 106, 104, 135, 160, 190, 204 and 194% of the primary value with N 1 , P 1 , N 2 , P 2 , N 3 , P 3 and N 4 , respectively, at the different time, during the period of impaired consciousness. The process of changes of these latencies were different between different components, and not consistent even with the given component. 4) The change of amplitude between the given pair of components differed markedly between different components, and inconsistent even with the given pair of components. The range of the change was wide, covering – 76–320% of the primary value. 5) Sum AD was a better indicator rather than latencies and amplitudes, especially with 500 msec analysis time. 6) Sum (4) was the most relevant with the changes of EEG and of clinical manifestations among the indicators employed in the present study, especially with 250 msec analysis time. 7) Correlation coefficient was unreliable as the indicator.