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CNS Neuroscience & Therapeutics
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Conference object . 2022
License: CC BY
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A review of attentional bias modification trainings for depression

Authors: Guo Li; Xueli Cai; Qian Yang; Qian Cui; Lihui Huang; Xiujuan Jing; Yifeng Wang;

A review of attentional bias modification trainings for depression

Abstract

AbstractNegative attentional bias is a basic character of depression. The attentional bias modification training (ABMT), being a highly promising and easy‐to‐use depression intervention technique, has attracted much attention to alleviate depressive symptoms in recent years. However, the effectiveness of ABMT programs was mixed across studies, since it remained unclear the underlying mechanisms of ABMT on alleviating depressive symptoms. We systematically analyzed the main ABMT paradigms to clarify possible mechanisms of effective training and reasons of ineffective training. Valid ABMT programs might alleviate depressive symptoms through regulating self‐related rumination or two subcomponents of attentional bias: facilitated attention and impaired attentional disengagement. The reasons for the invalidity of ABMT mainly included the suboptimal design of training procedures, mixed effects of participants' personal characteristics, and the unclear relationship between attentional bias and depression. The ABMT is promising for alleviating depressive symptoms, but training procedures are required to be improved to obtain stable training effects.

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Keywords

Attentional Bias, Depression, Reviews, Humans

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
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gold