Neurobehavioral Therapies in the 21st Century: Summary of an Emerging Field and an Extended Example of Cognitive Control Training for Depression

Siegle, Greg J.; Ghinassi, Frank; Thase, Michael E.

doi:10.1007/s10608-006-9118-6

Cited by 398 publications

(451 citation statements)

References 140 publications

(129 reference statements)

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“…In a subsample of six individuals, these authors also used fMRI assessment before and after the training. The results showed that after the intervention, depressed participants displayed decreased disruptions in both amygdala activity on an emotion task and in DLPFC activity on a cognitive task on which they were not trained (Siegle, Ghinassi & Thase, 2007). This is a first study showing that a combination of regular approaches and cognitive control training may have extra value in the treatment of depression.…”

Section: Cognitive Controlmentioning

confidence: 83%

Neurostimulation as an intervention for treatment resistant depression: From research on mechanisms towards targeted neurocognitive strategies

Raedt

Vanderhasselt

Baeken

2015

Clinical Psychology Review

106

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Despite the fact that several interventions for major depression have proven efficacy, a substantial number of patients are or become treatment resistant to various forms of pharmacotherapy and psychotherapy. Biological interventions that directly target brain activity such as electroconvulsive therapy are used to treat these patients, but some of these interventions are unlikely to be easily accepted because of their more invasive nature or sideeffects. The efficacy of non-invasive neurostimulation with a favorable side effect profile, such as repetitive Transcranial Magnetic Stimulation, could not be sufficiently demonstrated for treatment resistant depressed patients (TRD). We argue that research on the working mechanisms of these neurostimulation techniques is necessary to develop more efficient treatment protocols. After an overview of current neurostimulation approaches to treatment resistance and the introduction of a neurobiological and a cognitive framework of depression, we provide an integrative review of research on both the neurobiological and cognitive working mechanisms of neurostimulation in TRD, with a specific emphasis on the work of our lab. Thereafter, we describe our own studies and studies from other labs on new neurocognitive interventions. Finally we discuss how all this knowledge can be used to further develop new strategies to deal with treatment resistance, in combining neurostimulation and cognitive interventions.

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Section: Cognitive Controlmentioning

confidence: 83%

Neurostimulation as an intervention for treatment resistant depression: From research on mechanisms towards targeted neurocognitive strategies

Raedt

Vanderhasselt

Baeken

2015

Clinical Psychology Review

106

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“…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%

“…Given the maintaining role of information processing biases, it is important to consider the potential value of targeted cognitive training that can either train neural structures known to be impaired in depression (Siegle et al, 2007) or modify emotion specific biases in attention (Baert, De Raedt, Schacht, & Koster, 2010;, interpretation (Blackwell & Holmes, 2010;Holmes, Lang, & Shah, 2009;Lang, Blackwell, Harmer, Davison, & Holmes, 2011) or memory (Joormann, Hertel, LeMoult, & Gotlib, 2009;Raes et al, 2009). In general, cognitive bias modification (CBM) methodologies target specific cognitive processes by exposing participants to experimentally established contingencies during a task designed to encourage the acquisition or attenuation of an information processing bias ).…”

Section: Modification Of Cognitive Biasesmentioning

confidence: 99%

The combined cognitive bias hypothesis in depression

Everaert

Koster

Derakshan

2012

Clinical Psychology Review

274

179

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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...

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“…In recent years, important progress has been made in this area, using modified working memory training tasks such as the adaptive Paced Auditory Serial Addition Task (PASAT; e.g., Siegle, Ghinassi, & Thase, 2007) to train cognitive 5 control. During the adaptive PASAT, participants are presented with a stream of auditory presented digits and are instructed to indicate the sum of the last two digits, which relies on continuously updating working memory.…”

mentioning

confidence: 99%

“…Depending on the accuracy of the responses, the inter stimulus interval (ISI) would decrease or increase, modifying task difficulty. Siegle et al (2007) demonstrated the added value of combining cognitive control training (CCT) with treatment as usual (TAU), which led to a greater reduction in rumination and depressive symptomatology compared to a TAU control group. These findings have recently been replicated and extended, showing a reduced need for outpatient services one year following the combined intervention (Siegle et al, 2014).…”

mentioning

confidence: 99%

The influence of cognitive control training on stress reactivity and rumination in response to a lab stressor and naturalistic stress

Hoorelbeke

Koster

Vanderhasselt

et al. 2015

Behaviour Research and Therapy

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Neurobehavioral Therapies in the 21st Century: Summary of an Emerging Field and an Extended Example of Cognitive Control Training for Depression

Cited by 398 publications

References 140 publications

Neurostimulation as an intervention for treatment resistant depression: From research on mechanisms towards targeted neurocognitive strategies

Neurostimulation as an intervention for treatment resistant depression: From research on mechanisms towards targeted neurocognitive strategies

The combined cognitive bias hypothesis in depression

The influence of cognitive control training on stress reactivity and rumination in response to a lab stressor and naturalistic stress

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