Literature DB >> 15921888

The interaction of attention and emotion.

John G Taylor1, Nickolaos F Fragopanagos.   

Abstract

We analyse emotions from the viewpoint of how emotion and attention interact in the brain. Much has been learnt about the brain structures involved in attention, especially in vision. In particular the manner in which attention functions as a high-level control system, able to make cognitive processing so effective, has been studied both at a global level by brain imaging (fMRI, PET, MEG and EEG), at a local single cell level in monkeys and lower animals, and computationally by a variety of models. The manner in which emotions impinge on this attention control system is not so well analysed, although numerous new results are now emerging from using the same tools. Here we use an engineering control approach to attention to model it in a global manner but with relatively sure local foundations at singe neuron level. The manner in which emotional value (as coded in amygdale and orbito-frontal cortex) can interact with the attention control circuitry is analysed using results of various experimental paradigms. A general model of this interaction is first developed and tested against a list of paradigms, and then more detailed computations are performed using more specific features of the attention control system and the limbic value coding. These computations are completed by a simulation of the emotional attentional blink, a demanding paradigm for any model of attention alone, but made more so by the presence of emotional value codes for stimuli. We conclude the paper with a general discussion of further avenues of research.

Entities:  

Mesh:

Year:  2005        PMID: 15921888     DOI: 10.1016/j.neunet.2005.03.005

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  27 in total

1.  Emotion regulation reduces loss aversion and decreases amygdala responses to losses.

Authors:  Peter Sokol-Hessner; Colin F Camerer; Elizabeth A Phelps
Journal:  Soc Cogn Affect Neurosci       Date:  2012-01-24       Impact factor: 3.436

2.  Attentional control in depression: A translational affective neuroscience approach.

Authors:  Rudi De Raedt; Ernst H W Koster; Jutta Joormann
Journal:  Cogn Affect Behav Neurosci       Date:  2010-03       Impact factor: 3.282

Review 3.  The default mode network and recurrent depression: a neurobiological model of cognitive risk factors.

Authors:  Igor Marchetti; Ernst H W Koster; Edmund J Sonuga-Barke; Rudi De Raedt
Journal:  Neuropsychol Rev       Date:  2012-05-09       Impact factor: 7.444

4.  An electrophysiological investigation into the automaticity of emotional face processing in high versus low trait anxious individuals.

Authors:  Amanda Holmes; Maria Kragh Nielsen; Stephanie Tipper; Simon Green
Journal:  Cogn Affect Behav Neurosci       Date:  2009-09       Impact factor: 3.282

5.  Disconnection Between Amygdala and Medial Prefrontal Cortex in Psychotic Disorders.

Authors:  Prerona Mukherjee; Amri Sabharwal; Roman Kotov; Akos Szekely; Ramin Parsey; Deanna M Barch; Aprajita Mohanty
Journal:  Schizophr Bull       Date:  2016-02-23       Impact factor: 9.306

6.  Mechanisms for attentional modulation by threatening emotions of fear, anger, and disgust.

Authors:  Dandan Zhang; Yunzhe Liu; Lili Wang; Hui Ai; Yuejia Luo
Journal:  Cogn Affect Behav Neurosci       Date:  2017-02       Impact factor: 3.282

7.  Contextual and perceptual brain processes underlying moral cognition: a quantitative meta-analysis of moral reasoning and moral emotions.

Authors:  Gunes Sevinc; R Nathan Spreng
Journal:  PLoS One       Date:  2014-02-04       Impact factor: 3.240

8.  Multiplexing of Theta and Alpha Rhythms in the Amygdala-Hippocampal Circuit Supports Pattern Separation of Emotional Information.

Authors:  Jie Zheng; Rebecca F Stevenson; Bryce A Mander; Lilit Mnatsakanyan; Frank P K Hsu; Sumeet Vadera; Robert T Knight; Michael A Yassa; Jack J Lin
Journal:  Neuron       Date:  2019-04-09       Impact factor: 17.173

9.  Acute effects of repetitive transcranial magnetic stimulation on attentional control are related to antidepressant outcomes.

Authors:  Marie-Anne Vanderhasselt; Rudi De Raedt; Lemke Leyman; Chris Baeken
Journal:  J Psychiatry Neurosci       Date:  2009-03       Impact factor: 6.186

10.  Encouraging expressions affect the brain and alter visual attention.

Authors:  Manuel Martín-Loeches; Alejandra Sel; Pilar Casado; Laura Jiménez; Luis Castellanos
Journal:  PLoS One       Date:  2009-06-17       Impact factor: 3.240

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