Large-scale Networks for Attentional Biases

Nobre, Anna C.; Mesulam, M-Marsel

doi:10.1093/oxfordhb/9780199675111.013.035

Cited by 20 publications

(21 citation statements)

References 271 publications

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“…This contrast (Fig. 5, Panel A) yielded extensive activation of the frontoparietal network, which is commonly obtained in visual search and attention tasks (Corbetta et al, 2008;Katsuki & Constantinidis, 2014;Nobre & Mesulam, 2014;Wei et al, 2011). For this contrast, activation was related to nondecision time, but not to either drift rate or boundary separation.…”

Section: Search-related Activationmentioning

confidence: 71%

“…Neuroimaging studies of younger adults have established that attention-demanding tasks engage a widely distributed frontoparietal network, including the frontal eye field (FEF), inferior parietal lobule (IPL), and superior parietal lobule (SPL), which can extend to include visual processing and motor response-related regions, such as lateral and inferior prefrontal cortex, anterior cingulate, supplementary motor and premotor regions (Corbetta, Patel, & Shulman, 2008;Katsuki & Constantinidis, 2014;Nobre & Mesulam, 2014;Wei, Muller, Pollmann, & Zhou, 2011). The overall topography of the frontoparietal networks related to attention and response processing appears to hold across adult age (Madden & Monge, 2019;Madden et al, 2007;Müller-Oehring, Schulte, Rohlfing, Pfefferbaum, & Sullivan, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Response-level processing during visual feature search: Effects of frontoparietal activation and adult age

Madden

Siciliano

Tallman

et al. 2019

Atten Percept Psychophys

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Previous research suggests that feature search performance is relatively resistant to age-related decline. However, little is known regarding the neural mechanisms underlying the age-related constancy of feature search. In this experiment, we used a diffusion decision model of reaction time (RT), and event-related functional magnetic resonance imaging (fMRI) to investigate age-related differences in response-level processing during visual feature search. Participants were 80 healthy, right-handed, communitydwelling individuals, 19-79 years of age. Analyses of search performance indicated that targets accompanied by responseincompatible distractors were associated with a significant increase in the nondecision-time (t0) model parameter, possibly reflecting the additional time required for response execution. Nondecision time increased significantly with increasing age, but no age-related effects were evident in drift rate, cautiousness (boundary separation, a), or in the specific effects of response compatibility. Nondecision time was also associated with a pattern of activation and deactivation in frontoparietal regions. The relation of age to nondecision time was indirect, mediated by this pattern of frontoparietal activation and deactivation. Responsecompatible and-incompatible trials were associated with specific patterns of activation in the medial and superior parietal cortex, and frontal eye field, but these activation effects did not mediate the relation between age and search performance. These findings suggest that, in the context of a highly efficient feature search task, the age-related influence of frontoparietal activation is operative at a relatively general level, which is common to the task conditions, rather than at the response level specifically.

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Section: Search-related Activationmentioning

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Response-level processing during visual feature search: Effects of frontoparietal activation and adult age

Madden

Siciliano

Tallman

et al. 2019

Atten Percept Psychophys

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“…Neurobiological sources of attentional control, including PPC, broadcast signals to bias access of representations to other limited‐capacity processes (Serences & Yantis, ; Bisley & Goldberg, ; Petersen & Posner, ; Gottlieb, ; Nobre & Mesulam, ). Frequently, that bias is achieved through feedback modulation of activity in sensory areas such as visual cortex because alterations to the relative strength, clarity or vividness of sensorial representations affect their processing (c.f., Cooke & Bear, ; Poort et al ., ; Titchener, ).…”

Section: Discussionmentioning

confidence: 99%

“…Here, we evaluated the hypothesis that although rat PPC serves as a source of visual attention bias signals, V2 acts as a site to manifest that bias at the time of new learning (Broussard, ; Nobre & Mesulam, ), amplifying the integration of particular visual representations into new associative learning. We duplicated Schiffino et al .…”

Section: Introductionmentioning

confidence: 99%

Secondary visual cortex is critical to the expression of surprise‐induced enhancements in cue associability in rats

Schiffino

Holland

2016

Eur J of Neuroscience

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Considerable evidence indicates that reinforcement prediction error, the difference between the obtained and expected reinforcer values, modulates attention to potential cues for reinforcement. The surprising delivery or omission of a reinforcer enhances the associability of the stimuli that were present when the error was induced, so that they more readily enter into new associations in the future. Previous research from our laboratory identified brain circuit elements critical to the enhancement of stimulus associability by the omission of an expected event and to the subsequent expression of that altered associability in more rapid learning. A key finding was that the rat posterior parietal cortex was essential during the encoding, consolidation, and retrieval of associability memories that were altered by the surprising omission of an expected event in a serial prediction task. Here, we found that function of the adjacent secondary visual cortex was critical only to the expression of altered cue associability in that same task. This specialization of function is discussed in the context of broader cortical and subcortical networks for modulation of attention in associative learning, as well as recent anatomical investigations that suggest that the rodent posterior parietal cortex overlaps with and may subsume secondary visual cortex.

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“…Prominent accounts for the heterogeneity of attention typically distinguish between the way attention is being controlled, the way it is maintained over time, and its way of operating in space (e.g., Parasuraman, 1998;Posner & Petersen, 1990;Petersen & Posner, 2012). Other common models have focused on the multiple mechanisms governing attention, including the current goal-sets, salient events, and biases derived from mnemonic representations (e.g., Corbetta & Shulman, 2002;Nobre & Mesulam, 2014).…”

Section: Introductionmentioning

confidence: 99%

Beyond time and space: The effect of a lateralized sustained attention task and brain stimulation on spatial and selective attention

Shalev

Wandel

Dockree

et al. 2018

Cortex

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The Theory of Visual Attention (TVA) provides a mathematical formalisation of the "biased competition" account of visual attention. Applying this model to individual performance in a free recall task allows the estimation of 5 independent attentional parameters: visual short-term memory (VSTM) capacity, speed of information processing, perceptual threshold of visual detection; attentional weights representing spatial distribution of attention (spatial bias), and the top-down selectivity index. While the TVA focuses on selection in space, complementary accounts of attention describe how attention is maintained over time, and how temporal processes interact with selection. A growing body of evidence indicates that different facets of attention interact and share common neural substrates. The aim of the current study was to modulate a spatial attentional bias via transfer effects, based on a mechanistic understanding of the interplay between spatial, selective and temporal aspects of attention. Specifically, we examined here: (i) whether a single administration of a lateralized sustained attention task could prime spatial orienting and lead to transferable changes in attentional weights (assigned to the left vs right hemi-field) and/or other attentional parameters assessed within the framework of TVA (Experiment 1); (ii) whether the effects of such spatial-priming on TVA parameters could be further enhanced by bi-parietal high frequency transcranial random noise stimulation (tRNS) (Experiment 2). Our results demonstrate that spatial attentional bias, as assessed within the TVA framework, was primed by sustaining attention towards the right hemi-field, but this spatial-priming effect did not occur when sustaining attention towards the left. Furthermore, we show that bi-parietal high-frequency tRNS combined with the rightward spatial-priming resulted in an increased attentional selectivity. To conclude, we present a novel, theory-driven method for attentional modulation providing important insights into how the spatial and temporal processes in attention interact with attentional selection.

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Large-scale Networks for Attentional Biases

Cited by 20 publications

References 271 publications

Response-level processing during visual feature search: Effects of frontoparietal activation and adult age

Response-level processing during visual feature search: Effects of frontoparietal activation and adult age

Secondary visual cortex is critical to the expression of surprise‐induced enhancements in cue associability in rats

Beyond time and space: The effect of a lateralized sustained attention task and brain stimulation on spatial and selective attention

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