williams, watts, macleod and mathews' (1988) model of anxiety and depression leads to the prediction that anxious patients will show mood – congreuent implicit memory bias, while depressed patients will show mood-congruent explicit memory bias.although this prediction has been supported by some researchers (denny & hunt, 1992 mathews, moog, et al , 1989 watkins, et al, 1992), the reliabili...

Introduction: Attention Deficit Hyeperactivity Disorder (ADHD) is a relatively prevalent disorder in children and is associated with some other disorders including depression. This problem also affects the emotional characteristics and intelligence quotient. The aim of this study was to examine the relationship of Emotional Characteristics (EC) and depression with Intelligence Quotient (IQ) in ...

The objective and automated monitoring of depression using behavioral signals is confounded by the wide clinical profile of this commonly occurring mood disorder. This paper introduces Relevance Vector Machines, a novel method for predicting clinical depression scores from paralinguistic cues. It highlights many of the advantages RVM can offer depression prediction; sparsity, implicit noise cha...

Recent studies have demonstrated that geographic location features collected using smartphones can be a powerful predictor for depression. While location information can be conveniently gathered by GPS, typical datasets suffer from significant periods of missing data due to various factors (e.g., phone power dynamics, limitations of GPS). A common approach is to remove the time periods with sig...

BACKGROUND There exists very little evidence to guide clinical management for preventing recurrence of major depression. The objective of this study was to develop and validate a prediction algorithm for recurrence of major depression. METHODS Wave 1 and wave 2 longitudinal data from the U.S. National Epidemiological Survey on Alcohol and Related Condition (2001/2002–2003/2004) were used. Par...

Objective: The aims of the present study were to investigate the effects of various personality variables, namely, the locus of control beliefs, learned resourcefulness and sociotropy-autonomy in the prediction of the level of depressiveness in hemodialysis patients. The dependent variable of the study was not the depression but the level of depressiveness measured by the Beck Depression Invent...

Meta-analysis (eight general population longitudinal studies) describes the relationships (regressions) between quantity per occasion and depressive symptomatology over time. Quantity and depression are the strongest and most consistent predictors of final levels of themselves in all data sets. Age significantly and consistently predicts quantity for both sexes combined (the general pattern is ...

We tested the prediction that resting frontal brain asymmetry would be a marker of vulnerability for depression among adolescents. Baseline electroencephalographic (EEG) activity was recorded from 12 to 14-year-old adolescents whose mothers had a history of depression (high risk group) and whose mothers were lifetime-free of axis I psychopathology (low risk group). High risk adolescents demonst...