13 research outputs found
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How reward and emotional stimuli induce different reactions across the menstrual cycle
Despite widespread belief that moods are affected by the menstrual cycle, researchers on emotion and reward have not paid much attention to the menstrual cycle until recently. However, recent research has revealed different reactions to emotional stimuli and to rewarding stimuli across the different phases of the menstrual cycle. The current paper reviews the emerging literature on how ovarian hormone fluctuation during the menstrual cycle modulates reactions to emotional stimuli and to reward. Behavioral and neuroimaging studies in humans suggest that estrogen and progesterone have opposing influences. That is, it appears that estrogen enhances reactions to reward, but progesterone counters the facilitative effects of estrogen and decreases reactions to rewards. In contrast, reactions to emotionally arousing stimuli (particularly negative stimuli) appear to be decreased by estrogen but enhanced by progesterone. Potential factors that can modulate the effects of the ovarian hormones (e.g., an inverse quadratic function of hormones’ effects; the structural changes of the hippocampus across the menstrual cycle) are also discussed
The College News, 1923-01-24, Vol. 09, No. 13
Bryn Mawr College student newspaper. Merged with The Haverford News in 1968 to form the Bi-college News (with various titles from 1968 on). Published weekly (except holidays) during the academic year
Detection of T wave beta-to-beat variations prior to ventricular arrythmias onset in ICD-stored intracardiac electrograms: the endocardial T-wave alternans study (ETWAS)
International audienceBackground: The aim of the Endocardial T-Wave Alternans Study was to prospectively assess thepresence of T-wave alternans (TWA) or beat-to-beat repolarization changes on implantable cardioverter-defibrillator (ICD)-stored electrograms (EGMs) immediately preceding the onset of spontaneous ventriculartachycardia (VT) or fibrillation (VF). Methods: Thirty-seven VT/VF episodes were compared to 116 baseline reference EGMs from the same57 patients. A Bayesian model was used to estimate the T-wave waveform in each cardiac beat and a setof 10 parameters was selected to segment each detected T wave. Beat-by-beat differences in each T-waveparameter were computed using the absolute value of the difference between each beat and the followingone. Fisher criterion was used for determining the most discriminant T-wave parameters, then top-Mranked parameters yielding a normalized cumulative Fisher score>95% were selected, and analysis wasapplied on these selected parameters. Simulated TWA EGMs were used to validate the algorithm. Results: In the simulation study, TWA was detectable even in the case of the smallest simulatedalternans of 25μV. In 13 of the 37 episodes (35%) occurring in nine of 16 patients, significant largerbeat-to-beat variations before arrhythmia onset were detected compared to their respective references(median one positive episode per patient). Parameters including the T-wave apex amplitude seem themore discriminant parameters.Conclusions:Detection of beat-by-beat repolarization variations in ICD-stored EGMs is feasible ina significant subset of cases and may be used for predicting the onset of ventricular arrhythmias