Literature DB >> 18601940

Risk for depression is associated with neural biases in emotional categorisation.

Stella W Y Chan1, Catherine J Harmer, Guy M Goodwin, Ray Norbury.   

Abstract

Negative biases in emotional processing are a major characteristic of depression. Recent research has shown that such negative biases are evident in high risk individuals even in the absence of personal history of depression, suggesting that they may serve as key vulnerability markers of depression. However, the neural basis of these behavioural observations has not been fully explored. This study therefore aimed to (1) illustrate the neural processes involved in the categorisation of emotional personality-trait words; and (2) examine whether these neural mechanisms are biased towards negative information in high risk individuals. Risk for depression was defined by high neuroticism (N). We recruited a sample of high risk (high N) and low risk (low N) never-depressed young adults. Functional magnetic resonance imaging (fMRI) was acquired during the categorisation and memory for positive and negative self-referent personality-trait words (e.g. honest, rude). High risk volunteers showed greater responses in the right superior parietal cortex than low risk volunteers specifically during the categorisation of negative words. Moreover, neuroticism score was positively correlated with neural responses in the left anterior cingulate during the categorisation of negative words but negatively correlated within the same region during the retrieval of these words. These results highlight a role of the fronto-parietal circuitry in emotional processing and further suggest that negative biases in these neural processes may be involved in risk for depression.

Entities:  

Mesh:

Year:  2008        PMID: 18601940     DOI: 10.1016/j.neuropsychologia.2008.05.030

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  17 in total

1.  The GABAergic deficit hypothesis of major depressive disorder.

Authors:  B Luscher; Q Shen; N Sahir
Journal:  Mol Psychiatry       Date:  2010-11-16       Impact factor: 15.992

2.  Methodology and preliminary results from the neurobiology of late-life depression study.

Authors:  David C Steffens; Kevin J Manning; Rong Wu; James J Grady; Richard H Fortinsky; Howard A Tennen
Journal:  Int Psychogeriatr       Date:  2015-09-01       Impact factor: 3.878

Review 3.  Neural mechanisms of the cognitive model of depression.

Authors:  Seth G Disner; Christopher G Beevers; Emily A P Haigh; Aaron T Beck
Journal:  Nat Rev Neurosci       Date:  2011-07-06       Impact factor: 34.870

4.  Personality modulates the effects of emotional arousal and valence on brain activation.

Authors:  Elizabeth G Kehoe; John M Toomey; Joshua H Balsters; Arun L W Bokde
Journal:  Soc Cogn Affect Neurosci       Date:  2011-09-23       Impact factor: 3.436

Review 5.  Affective cognition and its disruption in mood disorders.

Authors:  Rebecca Elliott; Roland Zahn; J F William Deakin; Ian M Anderson
Journal:  Neuropsychopharmacology       Date:  2010-06-23       Impact factor: 7.853

6.  Orbitofrontal volume reductions during emotion recognition in patients with major depression.

Authors:  Johanna Scheuerecker; Eva M Meisenzahl; Nikolaos Koutsouleris; Martin Roesner; Veronika Schöpf; Jennifer Linn; Martin Wiesmann; Hartmut Brückmann; Hans-Jürgen Möller; Thomas Frodl
Journal:  J Psychiatry Neurosci       Date:  2010-09       Impact factor: 6.186

7.  Distinguishing between major depressive disorder and obsessive-compulsive disorder in children by measuring regional cortical thickness.

Authors:  Erin Fallucca; Frank P MacMaster; Joseph Haddad; Phillip Easter; Rachel Dick; Geoffrey May; Jeffrey A Stanley; Carrie Rix; David R Rosenberg
Journal:  Arch Gen Psychiatry       Date:  2011-05

Review 8.  Future directions in vulnerability to depression among youth: integrating risk factors and processes across multiple levels of analysis.

Authors:  Benjamin L Hankin
Journal:  J Clin Child Adolesc Psychol       Date:  2012-08-17

Review 9.  A neurocognitive model for understanding treatment action in depression.

Authors:  Matthew B Warren; Abbie Pringle; Catherine J Harmer
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-09-19       Impact factor: 6.237

10.  Ambiguous-cue interpretation is biased under stress- and depression-like states in rats.

Authors:  Thomas Enkel; Donya Gholizadeh; Oliver von Bohlen Und Halbach; Carles Sanchis-Segura; Rene Hurlemann; Rainer Spanagel; Peter Gass; Barbara Vollmayr
Journal:  Neuropsychopharmacology       Date:  2009-12-30       Impact factor: 7.853

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.