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Query: UMLS:C0036572 (seizures)
 80,221 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The use of the artificial sweetener, aspartame, has long been contemplated and studied by various researchers, and people are concerned about its negative effects. Aspartame is composed of phenylalanine (50%), aspartic acid (40%) and methanol (10%). Phenylalanine plays an important role in neurotransmitter regulation, whereas aspartic acid is also thought to play a role as an excitatory neurotransmitter in the central nervous system. Glutamate, asparagines and glutamine are formed from their precursor, aspartic acid. Methanol, which forms 10% of the broken down product, is converted in the body to formate, which can either be excreted or can give rise to formaldehyde, diketopiperazine (a carcinogen) and a number of other highly toxic derivatives. Previously, it has been reported that consumption of aspartame could cause neurological and behavioural disturbances in sensitive individuals. Headaches, insomnia and seizures are also some of the neurological effects that have been encountered, and these may be accredited to changes in regional brain concentrations of catecholamines, which include norepinephrine, epinephrine and dopamine. The aim of this study was to discuss the direct and indirect cellular effects of aspartame on the brain, and we propose that excessive aspartame ingestion might be involved in the pathogenesis of certain mental disorders (DSM-IV-TR 2000) and also in compromised learning and emotional functioning.
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PMID:Direct and indirect cellular effects of aspartame on the brain. 1854 63

Occurring in up to 80% of patients with epilepsy, depression in epilepsy may manifest as (i) major depressive disorder, meeting Diagnostic and Statistical Manual, 4th edition (DSM-IV) diagnostic criteria; (ii) atypical depression or dysthymia; or (iii) a dysthymic-like disorder with intermittent symptoms that can be milder than those of major depression. Depressive symptoms impair patients' health-related quality of life and may affect the clinical course of epilepsy. Depressive symptoms in epilepsy have been attributed to several causes, including endocrine and/or metabolic effects of seizures; the psychological response to epilepsy and its associated mental, physical and social challenges; common pathogenic mechanisms between depression and epilepsy; and the adverse effects of certain antiepileptic drugs (AEDs), particularly GABAergic agents, such as vigabatrin, tiagabine, topiramate and phenobarbital. Whereas some AEDs impair mood, others appear to improve aspects of mood or are mood neutral. Demonstrable antidepressant efficacy of AEDs used to manage seizures could have a significant impact on the care of patients with epilepsy. The AED lamotrigine has been demonstrated to be effective in the treatment of depressive symptoms in patients with epilepsy. In randomized, double-blind, clinical trials in patients with epilepsy, depressive symptoms improved more with lamotrigine monotherapy than valproate monotherapy and more with lamotrigine adjunctive therapy than placebo. Results of open-label studies of lamotrigine monotherapy and adjunctive therapy are consistent with the results of double-blind clinical trials. Lamotrigine-associated improvement in depressive symptoms is independent of its anticonvulsant efficacy. In prospective assessments, gabapentin, levetiracetam and oxcarbazepine each exhibited potentially beneficial effects on depressive symptoms in patients with epilepsy. However, evidence for the efficacy of gabapentin, levetiracetam and oxcarbazepine in the treatment of depressive symptoms in epilepsy is inconclusive at present because the effects of each agent have only been reported in single studies of an open-label design and with small sample sizes.
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PMID:Depressive symptoms in epilepsy: prevalence, impact, aetiology, biological correlates and effect of treatment with antiepileptic drugs. 1862 7

The objective of this study was to assess the internal construct validity of the DSM-IV as a conceptual model for characterizing behavioral syndromes in children with ASD. Parent and teachers completed the Child Symptom Inventory-4, a DSM-IV-referenced rating scale, for 6-to-12 year old clinic referrals with an ASD (N = 498). Ratings were submitted to confirmatory factor analysis and models were assessed for fit. Results were also compared to those obtained for a sample of non-ASD psychiatric outpatient school-age children. Fit indices ranged from acceptable to good for the ASD samples and compared well to those obtained in typically developing children. Findings lend support to the notion that DSM-IV syndromes may be an appropriate conceptual model for characterizing psychopathology in ASD.
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PMID:Validation of DSM-IV model of psychiatric syndromes in children with autism spectrum disorders. 1865 43

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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PMID:A comparison of personality disorder characteristics of patients with nonepileptic psychogenic pseudoseizures with those of patients with epilepsy. 1914 89

Clinical and demographic presurgical variables may be associated with unfavorable postsurgical neurological outcome in patients with mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS). However, few reports include preoperative psychiatric disorders as a factor predictive of long-term postsurgical MTLE-HS neurological outcome. We used Engel's criteria to follow 186 postsurgical patients with MTLE-HS for an average of 6 years. DSM-IV criteria and psychiatric comorbidity criteria specific to epilepsy (interictal dysphoric disorder, postictal and interictal psychosis) were used to assess presurgical psychiatric disorders. Kaplan-Meier event-free survival and adjusted hazard ratios were estimated with unconditional logistic regression. Seventy-seven (41.4%) patients had a preoperative Axis I psychiatric diagnosis. Thirty-six patients had depression, 11 interictal dysphoric disorder, 14 interictal psychosis, 6 postictal psychosis, and 10 anxiety disorders. Twenty-three (12.4%) patients had Axis II personality disorders. Regarding seizure outcome, preoperative anxiety disorders (P=0.009) and personality disorders (P=0.003) were positively correlated with Engel class 1B (remaining auras) or higher. These findings emphasize the importance of presurgical psychiatric evaluation, counseling, and postsurgical follow-up of patients with epilepsy and psychiatric disorders.
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PMID:Do psychiatric comorbidities predict postoperative seizure outcome in temporal lobe epilepsy surgery? 1918 16

Depression in epilepsy is common, underrecognized, and an indicator of quality of life. The Patient Health Questionnaire nine-item depression scale (PHQ-9) is a self-administered questionnaire based on Diagnostic and Statistical Manual, Fourth Edition (DSM-IV) criteria with high sensitivity and specificity for diagnosing depression. Using the PHQ-9, we determined that one-third of 263 patients seen in an epilepsy clinic had scores consistent with major depression. Seizure-free patients had lower depression scores than those with persistent seizures. Depression scores were not related to the number or type of antiepileptic drugs used. One-half of patients with scores consistent with major depression were not on antidepressant medication. The brevity of the PHQ-9 is conducive to routine screening of patients with epilepsy.
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PMID:Determination of prevalence of depression in an epilepsy clinic using a brief DSM-IV-based self-report questionnaire. 1952 50

Midazolam is a short acting benzodiazepine that has been used for electroconvulsive therapy (ECT) anesthesia. The purpose of this study was to determine whether midazolam used for this purpose would impair the antidepressive efficacy of ECT. In a double-blind random-assignment study midazolam was compared to methohexital on the antidepressive efficacy of bilateral ECT as measured by the reduction in the Montgomery Asberg Depression Rating Scale (MADRS) scores and seizure duration. Sixteen DSM-III-R major depressive disorder patients with melancholia were included. Midazolam and methohexital did not differ in their effects on the MADRS score or seizure duration; no correlation was found between seizure duration and outcome of depression for either group. Our preliminary findings do not support the claim that benzodiazepines should not be used during bilateral ECT.
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PMID:Use of midazolam for ECT anesthesia: effects on antidepressive efficacy and seizure duration. Preliminary findings. 1969 59

Despite a lively debate about the dimensional vs. categorical nature of Personality Disorders (PDs), direct empirical tests of the underlying structure are missing for most PDs. Taxometrics can be used to investigate whether latent structures are categorical or dimensional. We investigated the latent structure underlying Avoidant, Dependent, Obsessive-Compulsive, Depressive, Paranoid, and Borderline PD by means of three types of taxometric analyses. SCID-II based DSM-IV PD criterion scores from 1,816 patients from Mental Health and Forensic Institutes, and 63 nonpatients, were analyzed with three types of taxometric analyses. MAMBAC, MAXEIG, and L-MODE taxometric analyses were applied on multiple criteria sets, constituted both on theoretical grounds and randomly. Assumptions for taxometric analyses were generally met. All but two of the 78 taxometric analyses indicated greater evidence for a latent dimensional structure, with better fit of empirical data to dimensional than to taxonic simulations; mean Comparative Curve Fit Index (CCFI) = .23, SD = .09. Only two analyses yielded ambiguous evidence (CCFI in the .40-.60 range) and none indicated taxonic structure.
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PMID:Taxometric evidence for the dimensional structure of cluster-C, paranoid, and borderline personality disorders. 2000 Nov 78

Children with epilepsy and control children were followed over a 2-year interval. Comorbidities of epilepsy, often defined as problems related to IQ, academic achievement, language, and psychopathology, were evaluated prospectively. It was hypothesized that over time (1) the presence of comorbidities would predict worse outcomes, and (2) epilepsy variables would negatively impact comorbidities. The study included 39 children with complex partial seizures (CPS), 25 children with childhood absence epilepsy (CAE), and 27 healthy children, aged 7.6-16.1years. The findings were notable for stability over the interval in all three groups. Additionally, baseline seizure variables and change over the interval appear to play a role in IQ and math achievement scores of children with epilepsy with average IQ and in the reading achievement scores of those with below-average IQ. However, seizure variables at baseline and follow-up were not predictors of DSM-IV diagnoses, depression, anxiety, or behavioral problems.
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PMID:Cognition, academic achievement, language, and psychopathology in pediatric chronic epilepsy: Short-term outcomes. 2047 26

Psychiatric disorders are a source of significant comorbidity in patients with refractory epilepsy, yet are often underrecognized. We assessed the prevalence of DSM-IV Axis I psychiatric disorders using a short structured clinical interview (Mini-International Psychiatric Interview [MINI]) in patients with medically refractory complex partial seizures. Consecutive patients with refractory epilepsy being evaluated with video/EEG monitoring and imaging for seizure focus localization and lateralization underwent MINI evaluation to assess for the presence of psychiatric disorders. Among 117 patients (74 male, 43 female) studied, 57 (48.7%) had at least one psychiatric disorder; 19 (16.2%) had depression, 10 (8.5%) dysthymia, 27 (23.0%) anxiety disorder, and 11(9.4%) other disorders. Most clinical features and epilepsy-related variables had no significant association with psychiatric disorder on logistic regression analysis. Almost half of the patients with refractory focal seizures have a coexistent psychiatric disorder, and its presence or absence cannot be predicted by their clinical profiles. All patients should be assessed and treated for psychiatric comorbidity to improve overall quality of life.
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PMID:Study of DSM-IV Axis I psychiatric disorders in patients with refractory complex partial seizures using a short structured clinical interview. 2072 11


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