Traumatic memory reactivation with or without propranolol for PTSD and comorbid MD symptoms: a randomised clinical trial.

Post-traumatic stress disorder (PTSD) is difficult to treat but one promising strategy is to block memory reconsolidation of the traumatic event. This study aimed to evaluate the efficacy of traumatic memory reactivation under the influence of propranolol, a noradrenergic beta-receptor blocker, in reducing PTSD symptoms as well as comorbid major depression (MD) symptoms. We conducted a double blind, placebo-controlled, randomised clinical trial in 66 adults diagnosed with longstanding PTSD.

Traumatic Hystero-Neurasthenia in Professor Charcot's Leçons du Mardi.

At the end of the 19th century, several authors became interested in the physical and psychological symptoms resulting from traumatic life events. Oppenheim presented 42 detailed clinical observations. He suggested the term "traumatic neurosis.

Exploitation of semantic methods to cluster pharmacovigilance terms.

Pharmacovigilance is the activity related to the collection, analysis and prevention of adverse drug reactions (ADRs) induced by drugs. This activity is usually performed within dedicated databases (national, European, international..

Grouping the pharmacovigilance terms with a hybrid approach.

Pharmacovigilance is the activity related to the collection, analysis and prevention of adverse drug reactions (ADRs) induced by drugs. It leads to the safety survey of pharmaceutical products. The pharmacovigilance process benefits from the traditional statistical approaches and also from the qualitative information on semantic relations between close ADR terms, such as SMQs or hierarchical levels of MedDRA.

Customization of biomedical terminologies.

Within the biomedical area over one hundred terminologies exist and are merged in the Unified Medical Language System Metathesaurus, which gives over 1 million concepts. When such huge terminological resources are available, the users must deal with them and specifically they must deal with irrelevant parts of these terminologies. We propose to exploit seed terms and semantic distance algorithms in order to customize the terminologies and to limit within them a semantically homogeneous space.