1,013
Views
5
CrossRef citations to date
0
Altmetric
Invited Article

Anxiety-linked attentional bias: backward glances and future glimpses

Pages 139-145 | Received 02 Jul 2018, Accepted 06 Oct 2018, Published online: 02 Dec 2018
 

ABSTRACT

This brief reflection considers some of the important developments in anxiety-linked attentional bias research that have marked the three decades since the launch of Cognition and Emotion, and also identifies several challenges and opportunities that lie ahead. I suggest that the steady increase in our capacity to distinguish differing facets of attentional bias and alternative dimensions of anxiety vulnerability, together with the advent of attentional bias modification techniques that can illuminate causality, has enriched theoretical understanding and created the exciting potential for clinical translation. In order to fully capitalise on this potential, I propose that researchers should address the challenge of enhancing the psychometric properties of our assessment measures, and developing training procedures that not only modify attentional bias more effectively, but that motivate sustained patient engagement. I end with some personal advice to young investigators developing their research careers within this stimulating and rewarding field of scientific inquiry.

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Funding

Preparation of this paper was supported by Australian Research Council Grants [FL170100167 and DP170104533].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 503.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.