scholarly journals Overlapping attentional networks yield divergent behavioral predictions across tasks: Neuromarkers for diffuse and focused attention?

2019 ◽  
Author(s):  
Esther X.W. Wu ◽  
Gwenisha J. Liaw ◽  
Rui Zhe Goh ◽  
Tiffany T.Y. Chia ◽  
Alisia M.J. Chee ◽  
...  

AbstractAttention is a critical cognitive function, allowing humans to select, enhance, and sustain focus on information of behavioral relevance. Attention contains dissociable neural and psychological components. Nevertheless, some brain networks support multiple attentional functions. Connectome-based Predictive Models (CPM), which associate individual differences in task performance with functional connectivity patterns, provide a compelling example. A sustained attention network model (saCPM) successfully predicted performance for selective attention, inhibitory control, and reading recall tasks. Here we constructed a visual attentional blink (VAB) model (vabCPM), comparing its performance predictions and network edges associated with successful and unsuccessful behavior to the saCPM’s. In the VAB, attention devoted to a target often causes a subsequent item to be missed. Although frequently attributed to attentional limitations, VAB deficits may attenuate when participants are distracted or deploy attention diffusely. Participants (n=73; 24 males) underwent fMRI while performing the VAB task and while resting. Outside the scanner, they completed other cognitive tasks over several days. A vabCPM constructed from these data successfully predicted VAB performance. Strikingly, the network edges that predicted better VAB performance (positive edges) predicted worse selective and sustained attention performance, and vice versa. Predictions from the saCPM mirrored these results, with the network’s negative edges predicting better VAB performance. Furthermore, the vabCPM’s positive edges significantly overlapped with the saCPM’s negative edges, and vice versa. We conclude that these partially overlapping networks each have general attentional functions. They may indicate an individual’s propensity to diffusely deploy attention, predicting better performance for some tasks and worse for others.Significance statementA longstanding question in psychology and neuroscience is whether we have general capacities or domain-specific ones. For such general capacities, what is the common function? Here we addressed these questions using the attentional blink (AB) task and neuroimaging. Individuals searched for two items in a stream of distracting items; the second item was often missed when it closely followed the first. How often the second item was missed varied across individuals, which was reflected in attention networks. Curiously, the networks’ pattern of function that was good for the AB was bad for other tasks, and vice versa. We propose that these networks may represent not a general attentional ability, but rather the tendency to attend in a less focused manner.

2012 ◽  
Vol 135 (1-3) ◽  
pp. 90-94 ◽  
Author(s):  
Sung-Hyouk Park ◽  
Jin-Chan Noh ◽  
Jin Hun Kim ◽  
Jaewon Lee ◽  
Jin Young Park ◽  
...  

2017 ◽  
Vol 27 (2) ◽  
pp. 184-196 ◽  
Author(s):  
Yuanqiang Zhu ◽  
Yibin Xi ◽  
Ningbo Fei ◽  
Yuchen Liu ◽  
Xinxin Zhang ◽  
...  

2017 ◽  
Vol 7 (5) ◽  
pp. e00684 ◽  
Author(s):  
Francesca C. Fortenbaugh ◽  
Vincent Corbo ◽  
Victoria Poole ◽  
Regina McGlinchey ◽  
William Milberg ◽  
...  

2017 ◽  
Vol 56 (6) ◽  
pp. 991-1001 ◽  
Author(s):  
Stefania Coelli ◽  
Riccardo Barbieri ◽  
Gianluigi Reni ◽  
Claudio Zucca ◽  
Anna Maria Bianchi

PLoS ONE ◽  
2017 ◽  
Vol 12 (11) ◽  
pp. e0188744 ◽  
Author(s):  
Heledd Hart ◽  
Lena Lim ◽  
Mitul A. Mehta ◽  
Antonia Chatzieffraimidou ◽  
Charles Curtis ◽  
...  

2006 ◽  
Vol 27 (2) ◽  
pp. 57-72 ◽  
Author(s):  
Markus Buehner ◽  
Stefan Krumm ◽  
Matthias Ziegler ◽  
Tonja Pluecken

The aim of this study was to confirm that coordination and storage in the context of processing are significant predictors of reasoning even if crystallized intelligence is controlled for. It was also expected that sustained attention and coordination would be highly correlated. Therefore, 20 working memory tests, 2 attention tests, and 18 intelligence subtests were administered to 121 students. We were able to replicate results indicating that storage in the context of processing and coordination are significant predictors of reasoning. Controlling for crystallized intelligence did not decrease the common variance between working memory and reasoning. The study also revealed that the factors coordination and sustained attention were highly correlated. Finally, a model is presented with the latent variables speed and g, which can explain almost all of the common variance of the applied aggregates. A detailed discussion of the results supports the view that working memory and intelligence share about 70% of the common variance.


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