Factors associated with impaired quality of life in younger and older adults with epilepsy

The purpose of this study is to weigh psychological state, patients' demographics, seizure-related factors, and medical comorbidity in older adults with epilepsy against the same parameters in younger adults in an attempt to identify best quality of life (QoL) predictors. The Quality of Life in Epilepsy Inventory for Adults (QOLIE-31) and the Beck Depression Inventory-II (BDI-II) were completed by 146 patients with localization-related epilepsy. There was no statistical difference in the QOLIE-31 total score between younger and older adults. Best QoL predictors were BDI-II and seizure frequency, with BDI-II providing more than 3 times the impact of seizure frequency. BDI-II also substantively predicted most QOLIE-31 domains. Additionally, epilepsy duration positively correlated with overall QoL only among older adults. In summary, in younger as well as older adult epilepsy patients, depressive symptoms emerge as the strongest predictor of QoL. However, older adults appear to adapt better to their chronic health problem.     

Endophenotypes in schizophrenia: a review of electrophysiological studies

Schizophrenia patients consistently show some deficiency in electrophysiological measures, such as PPI (Prepulse Inhibition), ERP (Event-Related Potential) components (mismatch negativity, P50, P300), EEG (Electroencephalography), and MEG (Magnetoencephalography). These components have been intensively studied as quantitative biological markers (i.e., endophenotypes) for psychiatric disorders. Recently brain oscillations, especially gamma (30-80 Hz) band activity (GBA), are being increasingly investigated as new candidate endophenotypes. In this review, we summarize the current status, perspective, and limitations of representative paradigms for investigating abnormal electrophysiological components of schizophrenia, along with relevant genetic polymorphism.