Literature DB >> 21258914

Orienting of attention, pupil size, and the norepinephrine system.

Shai Gabay1, Yoni Pertzov, Avishai Henik.   

Abstract

This research examined a novel suggestion regarding the involvement of the locus coeruleus-norepinephrine (LC-NE) system in orienting reflexive (exogenous) attention. A common procedure for studying exogenous orienting of attention is Posner's cuing task. Importantly, one can manipulate the required level of target processing by changing task requirements, which, in turn, can elicit a different time course of inhibition of return (IOR). An easy task (responding to target location) produces earlier onset IOR, whereas a demanding task (responding to target identity) produces later onset IOR. Aston-Jones and Cohen (Annual Review of Neuroscience, 28, 403-450, 2005) presented a theory suggesting two different modes of LC activity: tonic and phasic. Accordingly, we suggest that in the more demanding task, the LC-NE system is activated in phasic mode, and in the easier task, it is activated in tonic mode. This, in turn, influences the appearance of IOR. We examined this suggestion by measuring participants' pupil size, which has been demonstrated to correlate with the LC-NE system, while they performed cuing tasks. We found a response-locked phasic dilation of the pupil in the discrimination task, as compared with the localization task, which may reflect different firing modes of the LC-NE system during the two tasks. We also demonstrated a correlation between pupil size at the time of cue presentation and magnitude of IOR.

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Year:  2011        PMID: 21258914     DOI: 10.3758/s13414-010-0015-4

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  39 in total

1.  EALab (Eye Activity Lab): a MATLAB Toolbox for Variable Extraction, Multivariate Analysis and Classification of Eye-Movement Data.

Authors:  Javier Andreu-Perez; Celine Solnais; Kumuthan Sriskandarajah
Journal:  Neuroinformatics       Date:  2016-01

2.  A Generative Model of Cognitive State from Task and Eye Movements.

Authors:  W Joseph MacInnes; Amelia R Hunt; Alasdair D F Clarke; Michael D Dodd
Journal:  Cognit Comput       Date:  2018-05-09       Impact factor: 5.418

3.  Correspondences among pupillary dilation response, subjective salience of sounds, and loudness.

Authors:  Hsin-I Liao; Shunsuke Kidani; Makoto Yoneya; Makio Kashino; Shigeto Furukawa
Journal:  Psychon Bull Rev       Date:  2016-04

4.  Pupil-Linked Arousal Responds to Unconscious Surprisal.

Authors:  Andrea Alamia; Rufin VanRullen; Emanuele Pasqualotto; André Mouraux; Alexandre Zenon
Journal:  J Neurosci       Date:  2019-05-06       Impact factor: 6.167

Review 5.  A locus coeruleus-norepinephrine account of individual differences in working memory capacity and attention control.

Authors:  Nash Unsworth; Matthew K Robison
Journal:  Psychon Bull Rev       Date:  2017-08

6.  rPLR: an imaging system for measuring pupillary light reflex at a distance.

Authors:  Dinalankara M R Dinalankara; Judith H Miles; Gang Yao
Journal:  Appl Opt       Date:  2014-11-10       Impact factor: 1.980

7.  Age-related changes in the functional integrity of the phasic alerting system: a pupillometric investigation.

Authors:  Mingjian He; William C Heindel; Matthew R Nassar; Elizabeth M Siefert; Elena K Festa
Journal:  Neurobiol Aging       Date:  2020-03-05       Impact factor: 4.673

Review 8.  Pupillary motility: bringing neuroscience to the psychiatry clinic of the future.

Authors:  Simona Graur; Greg Siegle
Journal:  Curr Neurol Neurosci Rep       Date:  2013-08       Impact factor: 5.081

9.  A role of eye vergence in covert attention.

Authors:  Maria Solé Puig; Laura Pérez Zapata; J Antonio Aznar-Casanova; Hans Supèr
Journal:  PLoS One       Date:  2013-01-31       Impact factor: 3.240

10.  Measuring attention using the Posner cuing paradigm: the role of across and within trial target probabilities.

Authors:  Dana A Hayward; Jelena Ristic
Journal:  Front Hum Neurosci       Date:  2013-05-17       Impact factor: 3.169

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