The University of Southampton
University of Southampton Institutional Repository

Mood congruent priming in sub-clinical depression

Scott, Kate M., Mogg, Karin and Bradley, Brendan P. (2001) Mood congruent priming in sub-clinical depression Cognitive Therapy and Research, 25, (5), pp. 505-524. (doi:10.1023/A:1005541701832).

Record type: Article

Abstract

Most cognitive theories of depression (e.g., Beck, 1976; Ingram, 1984; Teasdale, 1988; Bower, 1981) assume that depressed individuals have an automatic processing bias for negative information (e.g., activation of negative material in memory). In contrast, Williams, Watts, MacLeod, and Mathews (1988) proposed that depression is associated with a negative bias in controlled, rather than automatic, memory processes. Two experiments investigated whether there is an emotion-congruent bias in automatic (implicit) memory in subclinical depression. The first used a primed lexical decision task with briefly presented, masked primes (prime-target stimulus onset asynchrony, SOA, of 56 msec), including both repetition priming and semantic priming conditions. A depression-congruent priming bias was demonstrated in the semantic condition only. The second experiment examined the time course of the depression-congruent semantic priming bias using 56- and 2000-msec SOAs, and confirmed its occurrence in the 56-msec SOA condition. Results of both experiments are interpreted as consistent with a depression-congruent bias in automatic memory processes. Theoretical and clinical implications are discussed.

Full text not available from this repository.

More information

Published date: 2001
Keywords: depression, cognitive bias, automatic processes, semantic priming

Identifiers

Local EPrints ID: 18418
URI: http://eprints.soton.ac.uk/id/eprint/18418
ISSN: 0147-5916
PURE UUID: 731e34db-346d-4c31-a2c7-89bcc7a3fb36

Catalogue record

Date deposited: 21 Dec 2005
Last modified: 17 Jul 2017 16:36

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×