Acoustic Startle Stimuli Speed Reaction Time on the Attentional Networks Test

2012 ◽  
Author(s):  
John Z. Reynolds ◽  
Terry D. Blumenthal
2020 ◽  
Vol 73 (6) ◽  
pp. 868-880 ◽  
Author(s):  
Nicola L Barclay ◽  
Susan Rowley ◽  
Anna Robson ◽  
Umair Akram ◽  
Andriy Myachykov

Attentional networks are sensitive to sleep deprivation. However, variation in attentional performance as a function of normal sleep parameters is understudied. We examined whether attentional performance is influenced by (a) individual differences in sleep duration, (b) sleep duration variability, and/or (c) their interaction. A total of 57 healthy participants (61.4% female, Mage = 32.37 years, SD = 8.68) completed questionnaires, wore wrist actigraphy for 1 week, and subsequently completed the attention network test. Sleep duration and sleep duration variability did not predict orienting score, executive control score, or error rates. Sleep duration variability appeared to moderate the association between sleep duration with overall reaction time (β = –.34, t = –2.13, p = .04) and alerting scores (β = .43, t = 2.94, p = .01), though further inspection of the data suggested that these were spurious findings. Time of testing was a significant predictor of alerting score (β = .35, t = 2.96, p = .01), chronotype of orienting (β = .31, t = 2.28, p = .03), and age of overall reaction time (β = .35, t = 2.70, p = .01). Our results highlight the importance of examining the associations between variations in sleep–wake patterns and attentional networks in samples with greater variation in sleep, as well as the importance of rigorously teasing apart mechanisms of the sleep homeostat from those related to the circadian rhythm in studies examining cognition.


2011 ◽  
Vol 33 (5) ◽  
pp. 649-665 ◽  
Author(s):  
Florentino Huertas ◽  
Javier Zahonero ◽  
Daniel Sanabria ◽  
Juan Lupiáñez

The present study explored the effects of three different activity conditions on three attentional functions: alerting, orienting, and executive control. A group of highly experienced cyclists performed the Attention Network Test–Interactions (Callejas, Lupiáñez, & Tudela, 2004) at rest, during moderate aerobic exercise, and during intense aerobic exercise. Results indicated that aerobic exercise accelerated reaction time and reduced the alerting effect compared with the rest condition. However, aerobic exercise did not modulate the functioning of either the orienting or the executive control attentional networks. No differences in reaction time or attentional functioning were observed between the two aerobic exercise workloads. The present results suggest that moderate aerobic exercise modulates the functioning of phasic alertness by increasing the general state of tonic vigilance.


1995 ◽  
Vol 195 (2) ◽  
pp. 97-100 ◽  
Author(s):  
J. Valls-Solé ◽  
A. Solé ◽  
F. Valldeoriola ◽  
E. Muñoz ◽  
L.E. Gonzalez ◽  
...  

2000 ◽  
Vol 111 (8) ◽  
pp. 1366-1371 ◽  
Author(s):  
A Gironell ◽  
A Rodrı́guez-Fornells ◽  
J Kulisevsky ◽  
B Pascual ◽  
J Riba ◽  
...  

2002 ◽  
Vol 14 (3) ◽  
pp. 340-347 ◽  
Author(s):  
Jin Fan ◽  
Bruce D. McCandliss ◽  
Tobias Sommer ◽  
Amir Raz ◽  
Michael I. Posner

In recent years, three attentional networks have been defined in anatomical and functional terms. These functions involve alerting, orienting, and executive attention. Reaction time measures can be used to quantify the processing efficiency within each of these three networks. The Attention Network Test (ANT) is designed to evaluate alerting, orienting, and executive attention within a single 30-min testing session that can be easily performed by children, patients, and monkeys. A study with 40 normal adult subjects indicates that the ANT produces reliable single subject estimates of alerting, orienting, and executive function, and further suggests that the efficiencies of these three networks are uncorrelated. There are, however, some interactions in which alerting and orienting can modulate the degree of interference from flankers. This procedure may prove to be convenient and useful in evaluating attentional abnormalities associated with cases of brain injury, stroke, schizophrenia, and attention-deficit disorder. The ANT may also serve as an activation task for neuroimaging studies and as a phenotype for the study of the influence of genes on attentional networks.


1991 ◽  
Vol 1 (1) ◽  
pp. 211-221 ◽  
Author(s):  
Edward Neçka
Keyword(s):  

GeroPsych ◽  
2011 ◽  
Vol 24 (4) ◽  
pp. 169-176 ◽  
Author(s):  
Philippe Rast ◽  
Daniel Zimprich

In order to model within-person (WP) variance in a reaction time task, we applied a mixed location scale model using 335 participants from the second wave of the Zurich Longitudinal Study on Cognitive Aging. The age of the respondents and the performance in another reaction time task were used to explain individual differences in the WP variance. To account for larger variances due to slower reaction times, we also used the average of the predicted individual reaction time (RT) as a predictor for the WP variability. Here, the WP variability was a function of the mean. At the same time, older participants were more variable and those with better performance in another RT task were more consistent in their responses.


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