ArticlePloS one2014
A new method for computing attention network scores and relationships between attention networks.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Attention neuroenhancement through tDCS or neurofeedback: a randomized, single-blind, controlled trial.Scientific reports · 2022Trial
- Attentional network efficiency in elite biathletes and cross-country skiers.Frontiers in sports and active living · 2026Article
- Novel computerized neurocognitive test battery is sensitive to cancer-related cognitive deficits in survivors.Journal of cancer survivorship : research and practice · 2024Article
- The effect of ABM on attentional networks and stress-induced emotional reactivity in a mixed clinical sample with depression: A randomized sham-controlled trial.Neuroscience applied · 2024Article
- Neuropsychological correlates of ADHD: indicators of different attentional profiles among youth with sluggish cognitive tempo.Frontiers in child and adolescent psychiatry · 2023Article
- The effects of direct current stimulation and random noise stimulation on attention networks.Scientific reports · 2021Article
- Impact of Chronic Stress on Attention Control: Evidence from Behavioral and Event-Related Potential Analyses.Neuroscience bulletin · 2020Article
- Competition among the attentional networks due to resource reduction in Tibetan indigenous residents: evidence from event-related potentials.Scientific reports · 2018Article
- Low frequency steady-state brain responses modulate large scale functional networks in a frequency-specific means.Human brain mapping · 2016Article
- Reliable Attention Network Scores and Mutually Inhibited Inter-network Relationships Revealed by Mixed Design and Non-orthogonal Method.Scientific reports · 2015Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The attention network test (ANT) is a reliable tool to detect the efficiency of alerting, orienting, and executive control networks. However, studies using the ANT obtained inconsistent relationships between attention networks due to two reasons: on the one hand, the inter-network relationships of attention subsystems were far from clear; on the other hand, ANT scores in previous studies were disturbed by possible inter-network interactions. Here we proposed a new computing method by dissecting cue-target conditions to estimate ANT scores and relationships between attention networks as pure as possible. The method was tested in 36 participants. Comparing to the original method, the new method showed a larger alerting score and a smaller executive control score, and revealed interactions between alerting and executive control and between orienting and executive control. More interestingly, the new method revealed unidirectional influences from alerting to executive control and from executive control to orienting. These findings provided useful information for better understanding attention networks and their relationships in the ANT. Finally, the relationships of attention networks should be considered with more experimental paradigms and techniques.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.