Imaging the neural effects of cognitive bias modification training
Open accessAbstract
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.
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Anxiety is linked with dysfunctional interactions among multiple brain regions, including the salience network and executive control network.
“Such research links anxiety with dysfunctional interactions among multiple brain regions, including the salience network (supporting automatic threat evaluation/detection, and spanning amygdala/insula/frontal regions) and executive control network (supporting goal-directed activity, and spanning frontal/parietal regions) [110-115].”
From Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment (2018) · cites this paper as [110]
The salience network supports automatic threat evaluation/detection and spans amygdala/insula/frontal regions.
“Such research links anxiety with dysfunctional interactions among multiple brain regions, including the salience network (supporting automatic threat evaluation/detection, and spanning amygdala/insula/frontal regions) and executive control network (supporting goal-directed activity, and spanning frontal/parietal regions) [110-115].”
From Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment (2018) · cites this paper as [110]
Research on ABM training effects on neural functioning implicates regions involved in threat salience evaluation, attention, and cognitive control (e.g., amygdala, insula, frontal regions).
“Research investigating the effects of ABM training on neural functioning in anxiety is in its infancy, and implicates regions involved in threat salience evaluation, attention, and cognitive control (e.g., amygdala, insula, frontal regions) [110].”
From Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment (2018) · cites this paper as [110]
The executive control network supports goal-directed activity and spans frontal/parietal regions.
“Such research links anxiety with dysfunctional interactions among multiple brain regions, including the salience network (supporting automatic threat evaluation/detection, and spanning amygdala/insula/frontal regions) and executive control network (supporting goal-directed activity, and spanning frontal/parietal regions) [110-115].”
From Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment (2018) · cites this paper as [110]
Dysfunctional connections between these regions may influence treatment outcome.
“Dysfunctional connections between these regions may influence treatment outcome [109,110].”
From Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment (2018) · cites this paper as [110]
Research investigating the effects of ABM training on neural functioning in anxiety is in its infancy.
“Research investigating the effects of ABM training on neural functioning in anxiety is in its infancy, and implicates regions involved in threat salience evaluation, attention, and cognitive control (e.g., amygdala, insula, frontal regions) [110].”
From Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment (2018) · cites this paper as [110]
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Self-citationNeural correlates of attentional bias in addiction
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Self-citationCognitive neuroscience of cognitive retraining for addiction medicine
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Self-citationBehavioural approach tendencies to heroin-related stimuli in abstinent heroin abusers
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Self-citationModification of threat-processing in non-anxious individuals: A preliminary behavioral and ERP study
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Self-citationPutting behavior on hold decreases reward value of need-instrumental objects outside of awareness
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Medial Parietal Cortex Activation Related to Attention Control Involving Alcohol Cues
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Self-citationNeurobiology of Alcohol Craving and Relapse Prediction
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Self-citationShould we train alcohol-dependent patients to avoid alcohol? [Commentary on Spruyt et al.]
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- Authors
- Wiers, C. E., & Wiers, R. W.
- Affiliations
- National Institutes of Health (US)
- University of Amsterdam (NL)
- Corresponding author
- Wiers, Corinde E.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2017-05
- Volume
- 151
- Pages
- 81-91
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2477157151
- Cited by
- 52
- References
- 141
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 2 · 2023: 5 · 2022: 5 · 2021: 6 · 2020: 8 · 2019: 8 · 2018: 6 · 2017: 5
- FWCI
- 0.84
- Type
- journal article
- Language
- en
- Open access
- green
- handle.uba.uva.nl
- Licence
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- German Research Foundation
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- cognitive bias modification, implicit bias, neural mechanisms, anxiety, depression, addiction, drug-seeking behavior, neuroimaging
- MeSH terms
- Anxiety Disorders, Brain, Depressive Disorder, Humans, Cognitive Behavioral Therapy, Substance-Related Disorders
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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