scholarly journals A Randomized Trial of Combined tDCS Over Right Inferior Frontal Cortex and Cognitive Bias Modification: Null Effects on Drinking and Alcohol Approach Bias

2019 ◽  
Vol 43 (7) ◽  
pp. 1591-1599 ◽  
Author(s):  
Eric D. Claus ◽  
Stefan D. Klimaj ◽  
Roberta Chavez ◽  
Amber D. Martinez ◽  
Vincent P. Clark
Author(s):  
Stephan Mühlig ◽  
Jeanine Paulick ◽  
Johannes Lindenmeyer ◽  
Mike Rinck ◽  
Reto Cina ◽  
...  

Abstract. Background: In recent years, new neurocognitive explanatory approaches such as dual-process theories offer significant progress in understanding long-term relapse in substance use disorders. Based on such explanatory concepts stemming from basic research, novel methods of intervention have been deduced which focus on directly changing cognitive biases. The efficacy of these Cognitive Bias Modification (CBM) concepts has been evaluated in a growing number of studies in the context of different substance use and addictive disorders. By now, there are also first findings for using CBM in the context of smoking. Objectives: To evaluate the empirical evidence, whether CBM qualifies i) for reducing attentional or approach bias towards smoking-related cues, ii) for effectively reducing the high relapse rates in smoking cessation, iii) for the reduction of smoking behaviour and iv) craving. Methods: The systematic evidence search has been carried out in clinical databases (Cochrane Library, PsycArticles, PSYNDEX, PsycINFO, Medline) as well as via manual reverse search. Finally, 12 studies have been identified which met the inclusion criteria (RCT, CBM interventions for smokers; outcomes: change in attentional or approach bias, craving, number of cigarettes smoked, abstinence). Results: Despite the heterogeneity of the studies in terms of sample selection, realisation of interventions and methodological aspects, the findings collectively indicate that different forms and ‘dosages’ of CBM interventions can influence attentional or approach bias in smokers. Also, positive effects on craving and motivation to quit could be detected. Effects on smoking behaviour are inconsistent and often statistically non-significant. First online applications showed encouraging results. Discussion: The results concerning the efficacy of CBM in smoking cessation are still rudimentary and inconsistent. However, a large portion of the studies was not conducted under naturalistic conditions, but rather in laboratories with non-treatment seekers or participants partially motivated to quit. Despite these limitations, the findings can be evaluated as encouraging. The results suggest that CBM will be implemented in routine care as an adjunct intervention within a behavioural therapy-oriented cessation programme. However, specific studies which assess the efficacy of CBM as a component for relapse prevention in smoking cessation intervention in routine care are still lacking.


2021 ◽  
pp. 216770262110098
Author(s):  
Baruch Perlman ◽  
Nilly Mor ◽  
Yael Wisney Jacobinski ◽  
Adi Doron Zakon ◽  
Noa Avirbach ◽  
...  

Making negative inferences for negative events, ruminating about them, and retrieving negative aspects of memories have all been associated with depression. However, the causal mechanisms that link negative inferences to negative mood and the interplay between inferences, rumination, and memory have not been explored. In the current study, we used a cognitive-bias modification (CBM) procedure to train causal inferences and assessed training effects on ruminative thinking, memory, and negative mood among people with varying levels of depression. Training had immediate effects on negative mood and rumination but not after recall of a negative autobiographical memory. Note that training affected memory: Participants falsely recalled inferences presented during the training in a training-congruent manner. Moreover, among participants with high levels of depression, training also affected causal inferences they made for an autobiographical memory retrieved after training. Our findings shed light on negative cognitive cycles that may contribute to depression.


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