Title |
Disentangling the attention network test: behavioral, event related potentials, and neural source analyses
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Published in |
Frontiers in Human Neuroscience, October 2014
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DOI | 10.3389/fnhum.2014.00813 |
Pubmed ID | |
Authors |
Alejandro Galvao-Carmona, Javier J. González-Rosa, Antonio R. Hidalgo-Muñoz, Dolores Páramo, María L. Benítez, Guillermo Izquierdo, Manuel Vázquez-Marrufo |
Abstract |
The study of the attentional system remains a challenge for current neuroscience. The "Attention Network Test" (ANT) was designed to study simultaneously three different attentional networks (alerting, orienting, and executive) based in subtraction of different experimental conditions. However, some studies recommend caution with these calculations due to the interactions between the attentional networks. In particular, it is highly relevant that several interpretations about attentional impairment have arisen from these calculations in diverse pathologies. Event related potentials (ERPs) and neural source analysis can be applied to disentangle the relationships between these attentional networks not specifically shown by behavioral measures. |
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Geographical breakdown
Country | Count | As % |
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Spain | 2 | 50% |
United States | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
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Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 2 | 1% |
United States | 2 | 1% |
Chile | 1 | <1% |
Hungary | 1 | <1% |
Poland | 1 | <1% |
Unknown | 154 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 25 | 16% |
Student > Master | 24 | 15% |
Student > Bachelor | 16 | 10% |
Student > Doctoral Student | 10 | 6% |
Other | 30 | 19% |
Unknown | 22 | 14% |
Readers by discipline | Count | As % |
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Psychology | 54 | 34% |
Neuroscience | 35 | 22% |
Medicine and Dentistry | 13 | 8% |
Agricultural and Biological Sciences | 7 | 4% |
Engineering | 5 | 3% |
Other | 14 | 9% |
Unknown | 33 | 20% |