Individual differences in the attentional blink: Evidence from the amplitude of low-frequency fluctuations in non-blinkers and blinkers

Wang, Lijun; Chen, Jiangtao; Yang, Zhengyu; Liu, Congcong; Deng, Zhou; Chen, Antao

doi:10.1016/j.biopsycho.2015.11.009

Cited by 7 publications

(3 citation statements)

References 47 publications

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“…Finally, research on attentional bias has informed developments of attentional retraining procedures to be used in variety of emotional disorders (e.g., Amir et al, 2009; Amir, Weber, Beard, Bomyea, & Taylor, 2008; Koster, Fox, & MacLeod, 2009; Najmi & Amir, 2010), although evidence for the effectiveness is not unequivocal and rewarding attention shifts may have a larger influence on dysfunctional attentional biases (Sigurjónsdóttir, Björnsson, Ludvigsdóttir, & Kristjánsson, 2015). There is evidence to suggest that the attentional blink task is sensitive to mood (e.g., Rokke, Arnell, Koch, & Andrews, 2002; Trippe, Hewig, Heydel, Hecht, & Miltner, 2007) and personality variables (e.g., Wang et al, 2016). Given the present results, together with recent findings (Sigurjónsdóttir, Sigurðardóttir, et al, 2015; Sigurjónsdóttir et al, 2019), future studies should explore the possible utility of the (emotional) AB for measuring anxiety-related changes following attention bias modification interventions.…”

Section: Discussionmentioning

confidence: 99%

Evidence for an attention bias toward disgust in contamination fear

Olafsson

Friðriksdóttir

Sveinsdóttir

et al. 2019

Journal of Experimental Psychopathology

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Although attention biases are common in various anxiety disorders, there is no consensus yet regarding attentional bias in obsessive–compulsive disorder. We assessed attention bias toward images involving contamination and disgust using an emotional attentional blink paradigm in a sample of university students high (HCF) or low (LCF) in contamination fear. Neutral, general-threat-, contamination-, and disgust-related images (T1) were presented followed by a discrimination task (T2) 200, 500, or 800 ms later within a rapid serial visual presentation stream of 20 images. The HCF group was overall less accurate on the attentional blink task. Response accuracy differed by image type and lag in the two groups at the trend level and revealed a large drop in performance 200 ms following presentation of disgusting images in the HCF group. No such differences were observed at later lags in the task. There were increases in negative affect following the task for the HCF but not the LCF group, which were correlated with contamination fear scores. The results suggest that a disgust-related attention bias may be present at early stages of information processing in people with contamination fear.

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Section: Discussionmentioning

confidence: 99%

Evidence for an attention bias toward disgust in contamination fear

Olafsson

Friðriksdóttir

Sveinsdóttir

et al. 2019

Journal of Experimental Psychopathology

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“…如, 注意瞬脱者在枕颞区和小脑区的ALFF显著高于非注意瞬脱者, 而非注意瞬脱者在额顶区的ALFF显著高于注意瞬脱者, 说明注意瞬脱者更易被分心物干扰, 从而降低了对目标刺激的注意控制 [26] .…”

Section: 近年来研究者开始较多关注大脑自发神经活动在认知加工中的作用unclassified

Spontaneous neuronal activity in insula predicts post-error adjustments

Wang

Suo

et al. 2019

Chin. Sci. Bull.

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“…The regional amplitude of LFFs (ALFF) has shown to be a reliable measure of intrinsic spontaneous brain fluctuations (Zang et al, ; Zuo et al, ). As a data‐driven approach, it has been widely used to investigate the neural correlates of individual differences in behavioral performance in several cognitive domains, including object conceptual processing (Wei et al, ), spoken‐language learning (Deng, Chandrasekaran, Wang, & Wong, ), working memory (Zou et al, ), and attention (L. Wang et al, ). Furthermore, resting‐state functional connectivity (RSFC) examining inter‐regional synchronization of spontaneous LFFs is another promising approach in neuroimaging studies (Biswal et al, ; Fox et al, ).…”

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confidence: 99%

Intrinsic spontaneous brain activity predicts individual variability in associative memory in older adults

Zheng

Xiao

et al. 2018

PsyCh Journal

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Older adults demonstrate notable individual differences in associative memory. Here, resting-state functional magnetic resonance imaging (rsfMRI) was used to investigate whether intrinsic brain activity at rest could predict individual differences in associative memory among cognitively healthy older adults. Regional amplitude of low-frequency fluctuations (ALFF) analysis and a correlation-based resting-state functional connectivity (RSFC) approach were used to analyze data acquired from 102 cognitively normal elderly who completed the paired-associative learning test (PALT) and underwent fMRI scans. Participants were divided into two groups based on the retrospective self-reports on whether or not they utilized encoding strategies during the PALT. The behavioral results revealed better associative memory performance in the participants who reported utilizing memory strategies compared with participants who reported not doing so. The fMRI results showed that higher associative memory performance was associated with greater functional connectivity between the right superior frontal gyrus and the right posterior cerebellum lobe in the strategy group. The regional ALFF values in the right superior frontal gyrus were linked to associative memory performance in the no-strategy group. These findings suggest that the regional spontaneous fluctuations and functional connectivity during rest may subserve the individual differences in the associative memory in older adults, and that this is modulated by self-initiated memory strategy use.

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Individual differences in the attentional blink: Evidence from the amplitude of low-frequency fluctuations in non-blinkers and blinkers

Cited by 7 publications

References 47 publications

Evidence for an attention bias toward disgust in contamination fear

Evidence for an attention bias toward disgust in contamination fear

Spontaneous neuronal activity in insula predicts post-error adjustments

Intrinsic spontaneous brain activity predicts individual variability in associative memory in older adults

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