2020
DOI: 10.1093/braincomms/fcaa220
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Anterior insula and inferior frontal gyrus: where ventral and dorsal visual attention systems meet

Abstract: The clinical link between spatial and non-spatial attentional aspects in patients with hemispatial neglect is well known; in particular, an increase in alerting can transitorily help to allocate attention towards the contralesional side. In models of attention, this phenomenon is postulated to rely on an interaction between ventral and dorsal cortical networks, subtending non-spatial and spatial attentional aspects, respectively. However, the exact neural underpinnings of the interaction between these two netw… Show more

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Cited by 30 publications
(23 citation statements)
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“…Lastly, anterior insula, pars triangularis and IFS subserve the integration of linguistic input with visual referents. Anterior insula and the IFS have been argued to be the convergence zones of the ventral and dorsal attentional networks (Cazzoli et al, 2021), and our results align with previous models (Willems et al, 2008).…”
Section: Discussionsupporting
confidence: 92%
See 1 more Smart Citation
“…Lastly, anterior insula, pars triangularis and IFS subserve the integration of linguistic input with visual referents. Anterior insula and the IFS have been argued to be the convergence zones of the ventral and dorsal attentional networks (Cazzoli et al, 2021), and our results align with previous models (Willems et al, 2008).…”
Section: Discussionsupporting
confidence: 92%
“…Lastly, anterior insula and inferior frontal sulcus subserve the integration of language input with the visual referent. Both of these regions have been argued to be the convergence zones of the ventral (anterior insula) and dorsal (IFS) attentional networks (Cazzoli et al, 2021), which may explain their recruitment in this attention-based semantic-visual task. Task-evoked pupillary dynamics have also been linked to the insula (Kucyi and Parvizi, 2020); given our picture-matching task, these dynamics may also partly underscore our findings.…”
Section: Discussionmentioning
confidence: 95%
“…Additionally, several adaptations in design and task mechanics were performed. First, as patients with neglect process visual information slower [ 44 , 45 ], the landscape of the gameplay would be too complex; therefore, in order to reduce the number of distractive elements, the trees in the background and the clouds in the sky were removed from the game scenery (see Figure 2 ). Second, based on the recommendations of clinicians, the minimal speed of the targets was lowered from 2 °/second to 0.1 °/second; this manipulation generally lowered the difficulty level as well as reduced the need for fast head movements that could promote side effects.…”
Section: Methodsmentioning
confidence: 99%
“…1) are considered to support the early automatic identification of salient information originating exteroceptively, interoceptively, or within the thought stream [5,20,[279][280][281]. Such initial automatic salience assessments allow important information to become amplified throughout neurocognitive hierarchies [279] through increased attention [282] and cognitive control [283]. The salience and ventral attentional networks, therefore, may underlie increased automatic constraints on thought.…”
Section: Automatic Constraintsmentioning
confidence: 99%
“…When treated as a single network, both "salience network" and "ventral attention network" have been used as designation labels. Of their multiple subregions, the anterior insula is commonly referred to under either designation label [172,279,280,282], the ACC mentioned more frequently during discussion of the salience network [69,172,232,279,286], and the temporoparietal junction and inferior frontal gyrus mentioned more frequently during discussion of the ventral attention network [280,282,[287][288][289]. While we acknowledge the significant overlap between the salience network and the ventral attention network, here we treat them as separable networks when discussing how their PFC nodes may contribute to mental state dynamics.…”
Section: Automatic Constraintsmentioning
confidence: 99%