A comparison of personality disorder characteristics of patients with nonepileptic psychogenic pseudoseizures with those of patients with epilepsy

Comprehensive Epilepsy Center, Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Epilepsy & Behavior (Impact Factor: 2.06). 02/2009; 14(3):481-3. DOI: 10.1016/j.yebeh.2008.12.012
Source: PubMed

ABSTRACT We sought to determine the type of personality disorder cluster associated with patients with nonepileptic psychogenic seizures (NES) compared with that of patients with epileptic seizures (ES). Consecutive adult patients admitted for video/EEG monitoring found to have NES were compared with a simultaneously admitted patient with confirmed epilepsy. Personality was assessed using the Structured Clinical Interview for DSM-IV-TR Axis II Personality Disorders. Personality disorders were then divided into personality clusters described in the DSM-IV-TR: A = paranoid, schizotypal, schizoid; B = borderline, histrionic, antisocial, narcissistic; or C = avoidant, dependent, obsessive-compulsive. Thirteen of 16 patients with NES and 12 of 16 patients with ES met criteria for personality disorders. Patients with NES were more likely to meet criteria for a personality disorder in Cluster A or B, compared with patients with ES, who were more likely to have Cluster C personality disorders (chi(2) test, P=0.007). We propose that the personality traits of patients with NES contribute to the development of nonepileptic psychogenic seizures. However, the large proportion of patients with ES with Cluster C personality disorders was unexpected, and further, for the patients with epilepsy, the direction of the association of their personality traits with the development of epilepsy is unknown.

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    ABSTRACT: It is clear that many individuals with psychogenic nonepileptic seizures (PNESs) often present with poorer quality of life compared with those with epileptic seizures (ESs). However, the mechanisms linking seizure diagnosis to quality-of-life outcomes are much less clear. Alexithymia and somatization are emotional markers of psychological functioning that may explain these differences in quality of life. In the current study, patients from an epilepsy monitoring unit with vEEG-confirmed diagnosis of PNESs or ESs were compared on measures of alexithymia, somatization, quality of life, and a variety of demographic and medical variables. Two models using alexithymia and somatization individually as mediators of the relations between diagnosis and quality of life were tested. Results indicated that patients with PNESs had significantly poorer quality of life compared with those with ESs. Alexithymia was associated with poor quality of life in both groups but did not differentiate between diagnostic groups. Further, alexithymia did not mediate the relationship between diagnosis and quality of life. Somatization was associated with poor quality of life, and patients with PNESs reported greater somatization compared with patients with ESs. Somatization also significantly mediated the relationship between diagnosis and quality of life. In conclusion, somatization may be one mechanism affecting poor quality of life among patients with PNESs compared with ESs and should be a target of comprehensive treatments for PNESs. Alexithymia proved to be an important factor impacting quality of life in both groups and should also be targeted in treatment for patients with PNESs and patients with ESs. Copyright © 2014 Elsevier Inc. All rights reserved.
    Epilepsy & Behavior 01/2015; 43C:81-88. DOI:10.1016/j.yebeh.2014.12.010 · 2.06 Impact Factor
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    ABSTRACT: Psychogenic nonepileptic seizures (PNES) often mimic epileptic seizures and occur in both people with and without epilepsy. Pathophysiology of conversion disorders such as PNES remains unclear though significant psychological, psychiatric and environmental factors have been correlated with a diagnosis of PNES. Many clinical signs that have been considered typical for PNES can also be found in frontal epileptic seizures. Given the resemblance of seizures and affective changes from Orbitofrontal cortical dysfunction to PNES like events and correlation of psychological and environmental stress to conversion disorders such as PNES, we propose a two-factor model for the pathogenesis of PNES. We hypothesize that patients with PNES could have a higher likelihood of having both Orbitofrontal cortical dysfunction and a history of psychological stressors rather than a higher likelihood of having either one or the other. We further explore the implications of this two-factor model, including possible therapies. Copyright © 2015 Elsevier Ltd. All rights reserved.
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    ABSTRACT: Background Previous studies have identified numerous biological, psychological and social characteristics of persons with psychogenic non-epileptic seizures (PNES) however the strength of many of these factors have not been evaluated to determine which are predictive of the diagnosis compared to those that may only be stereotypes with limited clinical utility. Method A retrospective chart review of persons admitted to our epilepsy monitoring unit over a six year period was conducted to examine predictors of a video-EEG confirmed PNES diagnosis. Results A total of 689 patients had events leading to a diagnosis, 47% (n = 324) with PNES only, 12% (n = 84) with PNES & Epilepsy and 41% (n = 281) with Epilepsy only. Five biological predictors of a PNES only diagnosis were found; number of years with events (OR = 1.10), history of head injury (OR = 1.91), asthma (OR = 2.94), gastro-esophageal reflux disease (OR = 1.72) and pain (OR = 2.25). One psychological predictor; anxiety (OR = 1.72) and two social predictors; being married (OR = 1.81) and history of physical/sexual abuse (OR = 3.35). Two significant biological predictors of a PNES & Epilepsy diagnosis were found; migraine (OR = 1.83) and gastro-esophageal reflux disease (OR = 2.17). Conclusions Our findings support the importance of considering the biopsychosocial model for the diagnosis and treatment of PNES or PNES with concomitant epilepsy.
    Epilepsy Research 09/2014; 108(9). DOI:10.1016/j.eplepsyres.2014.09.003 · 2.19 Impact Factor