HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

High pressure nervous syndrome: psychometric and clinico-electrophysiological correlations.

Abstract
The high pressure nervous syndrome (h.p.n.s.) was studied in man from clinical, electrophysiological and psychometric viewpoints during a variety of simulated dives to depths deeper than 300 m (between 300 and 610 m), which used different modes of compression and different gas mixtures (Heliox, Trimix). In particular we studied tremor, myoclonia, changes in electroencephalogram and psychometric performance. Three points stemmed from these results. Some h.p.n.s. signs are present whichever technique is used, while others depend on the technique, both in intensity and in quality; so there is a syndrome due to compression, whose effects diminish, and a pressure syndrome, which persists at depth. There are differences between the susceptibility of different individuals, not only concerning h.p.n.s. as a whole, but also each symptom and its evolution at a given constant depth. There are no close correlations between the different symptoms observed.
AuthorsR Naquet, C Lemaire, J C Rostain
JournalPhilosophical transactions of the Royal Society of London. Series B, Biological sciences (Philos Trans R Soc Lond B Biol Sci) Vol. 304 Issue 1118 Pg. 95-102 (Jan 07 1984) ISSN: 0962-8436 [Print] England
PMID6142483 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Nitrogen
Topics
  • Animals
  • Atmospheric Pressure
  • Central Nervous System Diseases (physiopathology, psychology)
  • Disease Susceptibility
  • Diving
  • Humans
  • Nitrogen (therapeutic use)
  • Psychometrics
  • Syndrome
  • Tremor (drug therapy)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: