Literature DB >> 27450074

Imaging the neural effects of cognitive bias modification training.

Corinde E Wiers1, Reinout W Wiers2.   

Abstract

Cognitive bias modification (CBM) was first developed as an experimental tool to examine the causal role of cognitive biases, and later developed into complementary interventions in experimental psychopathology research. CBM involves the "re-training" of implicit biases by means of multiple trials of computerized tasks, and has been demonstrated to change anxious, depressive and drug-seeking behavior, including clinically relevant effects. Recently, the field has progressed by combining CBM with neuroimaging techniques, which provides insight into neural mechanisms underlying how CBM affects implicit biases in anxiety, depression, and addiction, and potentially other pathologies. This narrative literature review summarizes the state of the art of studies on the neural effects of CBM and provides directions for future research in the field. A total of 13 published studies were found and discussed: n=9 in anxiety, n=2 in depressive behavior, and n=2 in addiction.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Addiction; Anxiety; Bias; CBM; Cognitive bias modification; Depression; Implicit measures; Neuroimaging

Mesh:

Year:  2016        PMID: 27450074     DOI: 10.1016/j.neuroimage.2016.07.041

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  13 in total

1.  Introduction to the Special Issue: Using neuroimaging to probe mechanisms of behavior change.

Authors:  Tammy Chung; Marc Tittgemeyer; Sarah W Feldstein Ewing
Journal:  Neuroimage       Date:  2017-01-17       Impact factor: 6.556

2.  Attention bias modification in drug addiction: Enhancing control of subsequent habits.

Authors:  Muhammad A Parvaz; Pias Malaker; Anna Zilverstand; Scott J Moeller; Nelly Alia-Klein; Rita Z Goldstein
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-08       Impact factor: 11.205

3.  Changes in functional connectivity with cognitive behavioral therapy for social anxiety disorder predict outcomes at follow-up.

Authors:  Christina F Sandman; Katherine S Young; Lisa J Burklund; Darby E Saxbe; Matthew D Lieberman; Michelle G Craske
Journal:  Behav Res Ther       Date:  2020-03-29

4.  Attentional bias modification is associated with fMRI response toward negative stimuli in individuals with residual depression: a randomized controlled trial

Authors:  Eva Hilland; Nils I. Landrø; Catherine J. Harmer; Michael Browning; Luigi A. Maglanoc; Rune Jonassen
Journal:  J Psychiatry Neurosci       Date:  2020-01-01       Impact factor: 6.186

5.  Resting state functional connectivity subtypes predict discrete patterns of cognitive-affective functioning across levels of analysis among patients with treatment-resistant depression.

Authors:  Mary L Woody; Benjamin Panny; Michelle Degutis; Angela Griffo; Rebecca B Price
Journal:  Behav Res Ther       Date:  2021-09-02

Review 6.  Attentional bias in depression: understanding mechanisms to improve training and treatment.

Authors:  Anne C Mennen; Kenneth A Norman; Nicholas B Turk-Browne
Journal:  Curr Opin Psychol       Date:  2019-07-31

7.  Higher affective congruency in the approach-avoidance task is associated with insular deactivation to dynamic facial expressions.

Authors:  Katia M Harlé; Alan N Simmons; Jessica Bomyea; Andrea D Spadoni; Charles T Taylor
Journal:  Neuropsychologia       Date:  2020-12-28       Impact factor: 3.139

8.  Effects of cognitive bias modification on social anxiety: A meta-analysis.

Authors:  Haining Liu; Xianwen Li; Buxin Han; Xiaoqian Liu
Journal:  PLoS One       Date:  2017-04-06       Impact factor: 3.240

Review 9.  Current Status of Cognitive Remediation for Psychiatric Disorders: A Review.

Authors:  Eun Jin Kim; Yong-Chun Bahk; Hyeonju Oh; Won-Hye Lee; Jong-Sun Lee; Kee-Hong Choi
Journal:  Front Psychiatry       Date:  2018-10-01       Impact factor: 4.157

10.  Event-related and readiness potentials when preparing to approach and avoid alcohol cues following cue avoidance training in heavy drinkers.

Authors:  Lisa C G Di Lemma; Andrej Stancak; Vicente Soto; Nick Fallon; Matt Field
Journal:  Psychopharmacology (Berl)       Date:  2020-02-26       Impact factor: 4.530

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.