Literature DB >> 27173487

Automaticity of phasic alertness: Evidence for a three-component model of visual cueing.

Zhicheng Lin1, Zhong-Lin Lu2.   

Abstract

The automaticity of phasic alertness is investigated using the attention network test. Results show that the cueing effect from the alerting cue-double cue-is strongly enhanced by the task relevance of visual cues, as determined by the informativeness of the orienting cue-single cue-that is being mixed (80 % vs. 50 % valid in predicting where the target will appear). Counterintuitively, the cueing effect from the alerting cue can be negatively affected by its visibility, such that masking the cue from awareness can reveal a cueing effect that is otherwise absent when the cue is visible. Evidently, then, top-down influences-in the form of contextual relevance and cue awareness-can have opposite influences on the cueing effect from the alerting cue. These findings lead us to the view that a visual cue can engage three components of attention-orienting, alerting, and inhibition-to determine the behavioral cueing effect. We propose that phasic alertness, particularly in the form of specific response readiness, is regulated by both internal, top-down expectation and external, bottom-up stimulus properties. In contrast to some existing views, we advance the perspective that phasic alertness is strongly tied to temporal orienting, attentional capture, and spatial orienting. Finally, we discuss how translating attention research to clinical applications would benefit from an improved ability to measure attention. To this end, controlling the degree of intraindividual variability in the attentional components and improving the precision of the measurement tools may prove vital.

Entities:  

Keywords:  Attention network test; Exogenous cueing; Inhibition; Phasic alertness; Unconscious attention

Mesh:

Year:  2016        PMID: 27173487      PMCID: PMC5572602          DOI: 10.3758/s13414-016-1124-5

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  62 in total

1.  A saliency map in primary visual cortex.

Authors:  Zhaoping Li
Journal:  Trends Cogn Sci       Date:  2002-01-01       Impact factor: 20.229

2.  Repeated measurement of the components of attention using two versions of the Attention Network Test (ANT): stability, isolability, robustness, and reliability.

Authors:  Yoko Ishigami; Raymond M Klein
Journal:  J Neurosci Methods       Date:  2010-05-08       Impact factor: 2.390

Review 3.  Top-down and bottom-up control of visual selection.

Authors:  Jan Theeuwes
Journal:  Acta Psychol (Amst)       Date:  2010-05-26

4.  Reflexive and voluntary orienting of visual attention: time course of activation and resistance to interruption.

Authors:  H J Müller; P M Rabbitt
Journal:  J Exp Psychol Hum Percept Perform       Date:  1989-05       Impact factor: 3.332

Review 5.  An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance.

Authors:  Gary Aston-Jones; Jonathan D Cohen
Journal:  Annu Rev Neurosci       Date:  2005       Impact factor: 12.449

6.  Greater disruption due to failure of inhibitory control on an ambiguous distractor.

Authors:  Yoshiaki Tsushima; Yuka Sasaki; Takeo Watanabe
Journal:  Science       Date:  2006-12-15       Impact factor: 47.728

7.  Central and peripheral precuing of forced-choice discrimination.

Authors:  M Cheal; D R Lyon
Journal:  Q J Exp Psychol A       Date:  1991-11

8.  Mixing measures: testing an assumption of the Attention Network Test.

Authors:  Meghan M McConnell; David I Shore
Journal:  Atten Percept Psychophys       Date:  2011-05       Impact factor: 2.199

9.  The attentional effects of single cues and color singletons on visual sensitivity.

Authors:  Alex L White; Rasmus Lunau; Marisa Carrasco
Journal:  J Exp Psychol Hum Percept Perform       Date:  2013-07-22       Impact factor: 3.332

10.  Testing the behavioral interaction and integration of attentional networks.

Authors:  Jin Fan; Xiaosi Gu; Kevin G Guise; Xun Liu; John Fossella; Hongbin Wang; Michael I Posner
Journal:  Brain Cogn       Date:  2009-03-06       Impact factor: 2.310

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.