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J Verroust

Publications and source records attributed to J Verroust.

25 records · Page 2Linked to original sources

Bayesian statistics as applied to multiple sclerosis diagnosis by evoked potentials.

This study deals with the multiple sclerosis diagnosis by visual, somatosensory and brain stem auditory evoked potentials. By a statistical investigation of experimental data, four items have been selected as being both discriminative and independent: P100, N20, P40 latencies and the auditory central conduction time. The Bayesian approach was then attempted, i.e. the marginal density distributions of every item, and the joint density distribution functions have been established within both normal and multiple sclerosis population. No loss function consideration have been taken into account, as the final diagnosis is established by a neurologist who disposes of additional clinical and paraclinical information. The discrimination, as given by posterior Bayesian probability, is very satisfactory since the ratio of recognized multiple sclerosis among MS patients is over 90%, while no normal subject is diagnosed as MS.

Bayes Theorem↗

Somatosensory evoked potentials from posterior tibial nerve; normative data.

The somatosensory evoked potentials from posterior tibial nerve were studied in a group of normal adults. The latencies of popliteal fossa potential, L3, N33 and P40 waves as well as central conduction time were analyzed as a function of height and age. The correlation of the peripheral conduction velocity with the subject's age was also studied. The corresponding regression formulae were calculated and can be used to predict normal values of these parameters over a wide range of height and age. Standard error estimates are given for all parameters.

Adult↗