Overgeneral autobiographical memory as a predictor of the course of depression: A meta-analysis

Sumner, Jennifer A.; Griffith, James W.; Mineka, Susan

doi:10.1016/j.brat.2010.03.013

Cited by 371 publications

(318 citation statements)

References 51 publications

Supporting

Mentioning

275

Contrasting

Unclassified

Order By: Relevance

“…Importantly, longitudinal studies and cognitive bias modification (CBM) research (i.e., experimental manipulation of processing biases) have shown that cognitive control deficits (Siegle, Ghinassi, & Thase, 2007;Zetsche & Joormann, 2011), biases in attention (Beevers & Carver, 2003;, interpretation (Blackwell & Holmes, 2010;Holmes, Lang, & Shah, 2009;Rude, Valdez, Odom, & Ebrahimi, 2003;Rude, Wenzlaff, Gibbs, Vane, & Whitney, 2002), and memory processes (Johnson, Joormann, & Gotlib, 2007;Raes, Williams, & Hermans, 2009;Sumner, Griffith, & Mineka, 2010) can predict and contribute to the onset and maintenance of depressive symptoms. Moreover, these distorted cognitive processes can be found in at-risk (Dearing & Gotlib, 2009;Joormann, Talbot, & Gotlib, 2007;Kujawa et al, 2011;Taylor & Ingram, 1999) and remitted (Fritzsche et al, 2010;Gilboa & Gotlib, 1997;Hedlund & Rude, 1995;, 2010 depressed samples.…”

Section: Cognitive Biases and Vulnerability For Depressionmentioning

confidence: 99%

“…Although empirical data from longitudinal studies have found that biases in attention (Beevers & Carver, 2003), interpretation (Rude, Durham-Fowler, Baum, Rooney, & Maestas, 2010;Rude et al, 2003;Rude et al, 2002), memory (Johnson et al, 2007;Sumner et al, 2010) and impairments in cognitive control (Zetsche & Joormann, 2011) can predict depressive symptoms and clinical depression, it is COMBINED COGNITIVE BIAS HYPOTHESIS IN DEPRESSION 25 notable that the obtained effects sizes are often small to moderate. In line with Mathews and MacLeod (2005) we believe that biased cognitive processes can have substantial effects on depression through their mutual interactions and interaction with stressful live events, affecting emotional reactivity to stress that may subsequently lead to depressive symptoms and episodes.…”

Section: Predicting Depressionmentioning

confidence: 99%

See 1 more Smart Citation

The combined cognitive bias hypothesis in depression

Everaert

Koster

Derakshan

2012

Clinical Psychology Review

270

179

View full text Add to dashboard Cite

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...

show abstract

Section: Cognitive Biases and Vulnerability For Depressionmentioning

confidence: 99%

Section: Predicting Depressionmentioning

confidence: 99%

The combined cognitive bias hypothesis in depression

Everaert

Koster

Derakshan

2012

Clinical Psychology Review

270

179

View full text Add to dashboard Cite

show abstract

“…For example, relative to healthy controls, individuals with depression tend to exhibit superior recall performance for negative emotional information (Everaert et al, 2014;Gaddy & Ingram, 2014). In accordance with Beck's model, findings from longitudinal cohort studies and cognitive bias modification (CBM) studies have demonstrated that this 'negative memory bias' can play a causal role in the onset and maintenance of depressive symptoms (Newby, Lang, Werner-Seidler, Holmes, & Moulds, 2014;Sumner, Griffith, & Mineka, 2010). Memory bias in MDD is thought to be related to altered patterns of functional activity in the amygdala, a limbic structure implicated in the encoding of emotional material (Elliott, Zahn, Deakin, & Anderson, 2011).…”

Section: Introductionmentioning

confidence: 75%

The ‘affect tagging and consolidation’ (ATaC) model of depression vulnerability

Harrington

Pennington

Durrant

2017

Neurobiology of Learning and Memory

View full text Add to dashboard Cite

Please cite this article as: Harrington, M.O., Pennington, K., Durrant, S.J., The 'Affect Tagging and Consolidation' (ATaC) Model of Depression Vulnerability, Neurobiology of Learning and Memory (2017), doi: http://dx.doi.org/10. 1016/j.nlm.2017.02.003 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. patients, suggesting that they may be vulnerability markers of major depressive disorder (MDD), rather than mere epiphenomena of the disorder. Neuroimaging studies have revealed that depression is also associated with heightened amygdala reactivity to negative emotional stimuli, which may also be a vulnerability marker for MDD. Several models have been developed to explain the respective roles of REM sleep alterations and negatively-biased amygdala activity in the pathology of MDD, however the possible interaction between these two potential risk-factors remains uncharted. This paper reviews the roles of the amygdala and REM sleep in the encoding and consolidation of negative emotional memories, respectively. We present our 'affect tagging and consolidation' (ATaC) model, which argues that increased REM sleep density and negatively-biased amygdala activity are two separate, genetically influenced risk-factors for depression which interact to promote the development of negative memory bias -a well-known cognitive vulnerability marker for depression.Predictions of the ATaC model may motivate research aimed at improving our understanding of sleep dependent memory consolidation in depression aetiology.

show abstract

“…Overgeneral memories are common in MDD, in which themselves (e.g., "I always have a bad time at the beach") rather than specific autobiographical episodes (e.g., "this one time I went to the beach and got a sunburn on my knee") [110][111][112]. This overgeneralization of memory appears to be driven by ruminative processes [113], and is a predictor of depression severity [110,114]. It is unclear whether these overgeneral memories are driven by hippocampal failure, leading individuals to operate on a more semantic level, or whether the constant attention towards conceptual elaboration in MDD causes hippocampal atrophy [115].…”

Section: The Hippocampus and Overgeneral Memorymentioning

confidence: 99%

Towards a neuroimaging biomarker of depression vulnerability

Farb

Segal

Anderson

2011

Translational Neuroscience

View full text Add to dashboard Cite

Major depressive disorder (MDD) is a pervasive and debilitating illness, with a recurrent course and chronic prognosis. Although effective treatments for MDD exist, there is a pressing need to characterize relapse vulnerability in order to design effective prophylactic care. To date, heterogeneity within depression neuroimaging research has made it difficult to establish a reliable biomarker of disorder susceptibility. In this paper, we review neuroimaging evidence for the assessment of MDD vulnerability, theorizing that current findings can be broadly distinguished between those indicating the presence of depressive episodes and those indicating MDD vulnerability during symptom remission. We argue that unlike the amygdala hyperactivity and prefrontal hypoactivity observed during MDD episodes, prefrontal hyperactivity may be a characteristic of dysphoric cognition during symptom remission that indicates MDD vulnerability and relapse risk. Drawing on current research of normative emotion regulation, we describe a potential test of MDD vulnerability, employing emotional challenge paradigms that induce cognitive reactivity -the increased endorsement of negative self-descriptions during a transient dysphoric mood. Relative to a normative model of prefrontal function, the neuroimaging assessment of cognitive reactivity may provide a reliable indicator of MDD vulnerability, advancing the field of biomarker research as well as the delivery of preventative treatment on an individual basis.

show abstract

Overgeneral autobiographical memory as a predictor of the course of depression: A meta-analysis

Cited by 371 publications

References 51 publications

The combined cognitive bias hypothesis in depression

The combined cognitive bias hypothesis in depression

The ‘affect tagging and consolidation’ (ATaC) model of depression vulnerability

Towards a neuroimaging biomarker of depression vulnerability

Contact Info

Product

Resources

About