Attentional control theory is an approach to anxiety and cognition representing a major development of Eysenck and Calvo's (1992) processing efficiency theory. It is assumed that anxiety impairs efficient functioning of the goal-directed attentional system and increases the extent to which processing is influenced by the stimulus-driven attentional system. In addition to decreasing attentional control, anxiety increases attention to threat-related stimuli. Adverse effects of anxiety on processing efficiency depend on two central executive functions involving attentional control: inhibition and shifting. However, anxiety may not impair performance effectiveness (quality of performance) when it leads to the use of compensatory strategies (e.g., enhanced effort; increased use of processing resources). Directions for future research are discussed.
Persisting negative thoughts are considered a hallmark feature of depression. Recent information-processing approaches have begun to uncover the underlying mechanisms of depressive rumination. Despite marked advances in this area, there is a lack of integration between psychopathology and cognitive (neuro)science research. We propose the "impaired disengagement" hypothesis as a unifying framework between both approaches. The core tenet of our model is that prolonged processing of self-referent material is due to impaired attentional disengagement from negative self-referent information. We discuss the empirical evidence for this framework and outline future ways in which the causal predictions of this model can be tested. The proposed framework can account for the effectiveness of various treatments for depression and may aid in devising new interventions to target depressive cognition.
There have been many attempts to account theoretically for the effects of anxiety on cognitive performance. This article focuses on two theories based on insights from cognitive psychology. The more recent is the attentional control theory ( Eysenck, Derakshan, Santos, & Calvo, 2007 ), which developed from the earlier processing efficiency theory ( Eysenck & Calvo, 1992 ). Both theories assume there is a fundamental distinction between performance effectiveness (quality of performance) and processing efficiency (the relationship between performance effectiveness and use of processing resources), and that anxiety impairs processing efficiency more than performance effectiveness. Both theories also assume that anxiety impairs the efficiency of the central executive component of the working memory system. In addition, attentional control theory assumes that anxiety impairs the efficiency of two types of attentional control: (1) negative attentional control (involved in inhibiting attention to task-irrelevant stimuli); and (2) positive attentional control (involved in flexibly switching attention between and within tasks to maximize performance). Recent (including unpublished) research relevant to theoretical predictions from attentional control theory is discussed. In addition, future directions for theory and research in the area of anxiety and performance are presented.
Drawing from substantial evidence demonstrating cognitive biases in depression at various stages of information processing (i.e., attention, interpretation, memory, cognitive control), we argue for an approach that considers the interplay among these processes. This paper attempts to apply the combined cognitive bias hypothesis (Hirsch, Mathews, & Clark, 2006) to depression research and reviews competing theoretical frameworks that have guided research in this area. We draw on current findings from behavioral studies on the interplay between depression-related processing biases. These data indicate that various cognitive biases are associated. However, it is not clear whether single or multiple biases are most predictive of depressive symptoms. We conclude this article with theoretical and clinical implications of the current state of research in this field and propose a number of ways in which research on the combined cognitive bias hypothesis can be advanced. A State-of-the-art Major depression is a prevalent psychiatric disorder that is associated with debilitating symptomatic suffering, functional impairments, and high societal costs (Kessler & Wang, 2009). Notwithstanding a range of well-established psychological and pharmacological interventions, relapse and recurrence rates of depression remain high (Vittengl, Clark, Dunn, & Jarrett, 2007) indicating that current therapies do not sufficiently address vulnerability factors for this burdensome disorder. Moreover, with each successive depressive episode the risk for recurrence increases (Boland & Keller, 2009), which points to an expanding vulnerability with multiple episodes. Hence, profound insight into the mechanisms involved in the etiology and maintenance of major depression seems essential in improving contemporary treatment options and the prevention of depression.In the past three decades, research inspired by cognitive accounts of depression has been successful in identifying vulnerability factors for this disorder. Apart from substantial research examining depressive cognitive content as a vulnerability factor (e.g., negative thoughts), a promising line of research highlights the role of cognitive biases in the development, maintenance, and relapse/recurrence of depression (for reviews see Mathews & MacLeod, 2005). Research efforts in this particular area of interest have typically focused on abnormalities in attention, interpretation, and memory processes, which are considered to be instrumental in the understanding of the processes involved in these cognitive biases. More recently, there is growing interest into cognitive and neural mechanisms underlying cognitive control impairments, which may operate across a variety of cognitive biases. Indeed a substantial number of studies on emotional information processing in depressed samples provide evidence that depression is characterized by attention, interpretation, and memory biases, especially for negative information (see below). COMBINED COGNITIVE BIAS HYPOTHESIS IN DEPRESSION 4This resea...
Effects of anxiety on the antisaccade task were assessed. Performance effectiveness on this task (indexed by error rate) reflects a conflict between volitional and reflexive responses resolved by inhibitory processes (Hutton, S. B., & Ettinger, U. (2006). The antisaccade task as a research tool in psychopathology: A critical review. Psychophysiology, 43, 302-313). However, latency of the first correct saccade reflects processing efficiency (relationship between performance effectiveness and use of resources). In two experiments, high-anxious participants had longer correct antisaccade latencies than low-anxious participants and this effect was greater with threatening cues than positive or neutral ones. The high- and low-anxious groups did not differ in terms of error rate in the antisaccade task. No group differences were found in terms of latency or error rate in the prosaccade task. These results indicate that anxiety affects performance efficiency but not performance effectiveness. The findings are interpreted within the context of attentional control theory (Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007). Anxiety and cognitive performance: Attentional control theory. Emotion, 7 (2), 336-353).
Depression has been linked with impaired executive control and specific impairments in inhibition of negative material. To date, only a few studies have examined the relationship between depressive symptoms and executive functions in response to emotional information.Using a new paradigm, the Affective Shift Task (AST), the present study examined if depressive symptoms in general, and rumination specifically, are related to impairments in inhibition and set shifting in response to emotional and non-emotional material. The main finding was that depressive symptoms in general were not related to inhibition. Set shifting impairments were only observed in moderate to severely depressed individuals. Interestingly, rumination was related to inhibition impairments, specifically when processing negative information, as well as impaired set shifting as reflected in a larger shift cost. These results are discussed in relation to cognitive views on vulnerability for depression.
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