Pathological Love: Impulsivity, Personality, and Romantic Relationship

Introduction: Pathological love (PL)-behavior characterized by providing repetitive and uncontrolled care and attention to the partner in a romantic relationship-is a rarely studied condition, despite not being rare and causing suffering. This study aims at investigating impulsivity, personality, and characteristics related to the romantic relationship in this population. Methods: Eighty-nine individuals (50 with PL; 39 individuals with no psychiatric disorder) were compared regarding impulsivity, personality, type of attachment, satisfaction with romantic relationship, and love style. Results: Individuals with PL have higher levels of impulsivity (P<.001; Barratt Impulsiveness Scale), higher self-transcendence, that is, are more unconventional and hold sense of communjon with a widerreality (P<.001; Temperament and Character Inventory) and keep dissatisfactory romantic relationships (P<.001; Adapted Relationship Assessment Scale). Conclusion: Individuals with PL present personality traits and relationship aspects that must be taken into account in devising assessment and therapeutic strategies for this population. CNS Spectr. 2009;14(5):268-274

Relative entropy measures applied to healthy and pathological voice characterization

Nowadays, noninvasive methods of diagnosis have increased due to demands of the population that requires fast, simple and painless exams. These methods have become possible because of the growth of technology that provides the necessary means of collecting and processing signals. New methods of analysis have been developed to understand the complexity of voice signals, such as nonlinear dynamics aiming at the exploration of voice signals dynamic nature. The purpose of this paper is to characterize healthy and pathological voice signals with the aid of relative entropy measures. Phase space reconstruction technique is also used as a way to select interesting regions of the signals. Three groups of samples were used, one from healthy individuals and the other two from people with nodule in the vocal fold and Reinke`s edema. All of them are recordings of sustained vowel /a/ from Brazilian Portuguese. The paper shows that nonlinear dynamical methods seem to be a suitable technique for voice signal analysis, due to the chaotic component of the human voice. Relative entropy is well suited due to its sensibility to uncertainties, since the pathologies are characterized by an increase in the signal complexity and unpredictability. The results showed that the pathological groups had higher entropy values in accordance with other vocal acoustic parameters presented. This suggests that these techniques may improve and complement the recent voice analysis methods available for clinicians. (C) 2008 Elsevier Inc. All rights reserved.