Biased cognitions and social anxiety / / topic editors Alexandre Heeren, Wolf-Gero Lange,Pierre Philippot and Quincy J. J. Wong.

• Author: Wolf-Gero Lange
• TeilnehmendeR: Philippot, Pierre; Lange, Wolf-Gero; Heeren, Alexandre
• Place / Publishing House: Lausanne, Switzerland : : Frontiers Media SA,, 2015
• Year of Publication: 2015
• Language: English
• Series: Frontiers Research Topics
• Physical Description: 1 online resource (98 pages) :; colour illustrations, charts.
• Notes: Bibliographic Level Mode of Issuance: Monograph
• ISBN: 9782889194230 (ebook)
• Access: Open access
• Hierarchical level: Monograph
• Statement of Responsibility: topic editors Alexandre Heeren, Wolf-Gero Lange,Pierre Philippot and Quincy J. J. Wong.

Social anxiety (SA) is a common and incapacitating disorder that has been associated with seriously impaired career, academic, and general social functioning. Regarding epidemiological data, SA has a lifetime prevalence of 12.1% and is the fourth most common psychopathological disorder (Kessler et al., 2005). At a fundamental point of view, the most prominent cognitive models of SA posit that biased cognitions contribute to the development and maintenance of the disorder (e.g., Clark & Wells, 1995; Rapee & Heimberg, 1997). Over the last decades, a large body of research has provided evidence that individuals suffering from SA exhibit such biased cognitions at the level of visual attention, memory of social encounters, interpretation of social events, and in judgment of social cues. Such biased cognitions in SA has been studied in different ways within cognitive psychology, behavioral psychology, clinical psychology, and cognitive neuroscience over the last few decades, yet, integrative approaches for channeling all information into a unified account of biased cognitions in SA has not been presented so far. The present Research Topic aims to bring together theses different ways, and to highlight findings and methods which can unify research across these areas. In particular, this Research Topic aims to advance the current theoretical models of SA and set the stage for future developments of the field by clarifying and linking theoretical concepts across disciplines.