Literature DB >> 21264741

Mixing measures: testing an assumption of the Attention Network Test.

Meghan M McConnell1, David I Shore.   

Abstract

The human attention system has been subdivided into three networks that appear to be functionally and anatomically independent: alerting, orienting, and executive control. The Attention Network Test (ANT) is a quick and easy tool that measures the efficiency of these three networks by averaging reaction time and accuracy scores across several different cue and flanker conditions. Using ANOVAs and correlation procedures, we found that (a) intranetwork correlations were surprisingly low, and (b) Cue X Flanker interactions were found within alerting, orienting, and executive control measures. Taken together, these findings highlight the interaction between the three networks and the potential difficulty in accurately measuring them with this task.

Entities:  

Mesh:

Year:  2011        PMID: 21264741     DOI: 10.3758/s13414-010-0085-3

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


  12 in total

1.  Low frequency steady-state brain responses modulate large scale functional networks in a frequency-specific means.

Authors:  Yi-Feng Wang; Zhiliang Long; Qian Cui; Feng Liu; Xiu-Juan Jing; Heng Chen; Xiao-Nan Guo; Jin H Yan; Hua-Fu Chen
Journal:  Hum Brain Mapp       Date:  2015-10-29       Impact factor: 5.038

2.  Mental chronometry and individual differences: modeling reliabilities and correlations of reaction time means and effect sizes.

Authors:  Jeff Miller; Rolf Ulrich
Journal:  Psychon Bull Rev       Date:  2013-10

3.  Automaticity of phasic alertness: Evidence for a three-component model of visual cueing.

Authors:  Zhicheng Lin; Zhong-Lin Lu
Journal:  Atten Percept Psychophys       Date:  2016-10       Impact factor: 2.199

4.  Attention neuroenhancement through tDCS or neurofeedback: a randomized, single-blind, controlled trial.

Authors:  Gabriel Gaudencio Rêgo; Óscar F Gonçalves; Paulo Sérgio Boggio
Journal:  Sci Rep       Date:  2022-10-20       Impact factor: 4.996

5.  Reliable Attention Network Scores and Mutually Inhibited Inter-network Relationships Revealed by Mixed Design and Non-orthogonal Method.

Authors:  Yi-Feng Wang; Xiu-Juan Jing; Feng Liu; Mei-Ling Li; Zhi-Liang Long; Jin H Yan; Hua-Fu Chen
Journal:  Sci Rep       Date:  2015-05-21       Impact factor: 4.379

6.  A neuropsychological instrument measuring age-related cerebral decline in older drivers: development, reliability, and validity of MedDrive.

Authors:  Paul Vaucher; Isabel Cardoso; Janet L Veldstra; Daniela Herzig; Michael Herzog; Patrice Mangin; Bernard Favrat
Journal:  Front Hum Neurosci       Date:  2014-10-09       Impact factor: 3.169

7.  Disentangling the attention network test: behavioral, event related potentials, and neural source analyses.

Authors:  Alejandro Galvao-Carmona; Javier J González-Rosa; Antonio R Hidalgo-Muñoz; Dolores Páramo; María L Benítez; Guillermo Izquierdo; Manuel Vázquez-Marrufo
Journal:  Front Hum Neurosci       Date:  2014-10-13       Impact factor: 3.169

8.  A new method for computing attention network scores and relationships between attention networks.

Authors:  Yi-Feng Wang; Qian Cui; Feng Liu; Ya-Jun Huo; Feng-Mei Lu; Heng Chen; Hua-Fu Chen
Journal:  PLoS One       Date:  2014-03-03       Impact factor: 3.240

9.  Neural correlates of alerting and orienting impairment in multiple sclerosis patients.

Authors:  Manuel Vázquez-Marrufo; Alejandro Galvao-Carmona; Javier J González-Rosa; Antonio R Hidalgo-Muñoz; Mónica Borges; Juan Luis Ruiz-Peña; Guillermo Izquierdo
Journal:  PLoS One       Date:  2014-05-12       Impact factor: 3.240

10.  Mind Wandering and Task-Focused Attention: ERP Correlates.

Authors:  Óscar F Gonçalves; Gabriel Rêgo; Tatiana Conde; Jorge Leite; Sandra Carvalho; Olívia Morgan Lapenta; Paulo S Boggio
Journal:  Sci Rep       Date:  2018-05-15       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.