Functional connectivity of the insula in the resting brain

Cauda, Franco; D’Agata, Federico; Sacco, Katiuscia; Duca, Sergio; Geminiani, Giuliano; Vercelli, Alessandro

doi:10.1016/j.neuroimage.2010.11.049

Cited by 712 publications

(661 citation statements)

References 104 publications

(151 reference statements)

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“…The concordance between IC 6 and an ICA-derived component ('motor network') related to the cognitive control of motor behavior (Zhang and Li, 2012) supports this association. Decreasing attentional bias for drug cues was related to increasing functional connectivity within somatosensory, premotor, auditory, and interoceptive cortex, corresponding to a defined posterior insula network involved in sensorimotor integration (Cauda et al, 2011). As an implicit measure of drug motivation, attentional bias for drug cues is thought to capture automatic processes occurring below the level of awareness (Cox et al, 2006;Tiffany, 1990).…”

Section: Discussionmentioning

confidence: 99%

Individual Differences in Attentional Bias Associated with Cocaine Dependence Are Related to Varying Engagement of Neural Processing Networks

Kilts

Kennedy

Elton

et al. 2013

Neuropsychopharmacol

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Cocaine and other drug dependencies are associated with significant attentional bias for drug use stimuli that represents a candidate cognitive marker of drug dependence and treatment outcomes. We explored, using fMRI, the role of discrete neural processing networks in the representation of individual differences in the drug attentional bias effect associated with cocaine dependence (AB-coc) using a word counting Stroop task with personalized cocaine use stimuli (cocStroop). The cocStroop behavioral and neural responses were further compared with those associated with a negative emotional word Stroop task (eStroop) and a neutral word counting Stroop task (cStroop). Brain-behavior correlations were explored using both network-level correlation analysis following independent component analysis (ICA) and voxel-level, brain-wide univariate correlation analysis. Variation in the attentional bias effect for cocaine use stimuli among cocaine-dependent men and women was related to the recruitment of two separate neural processing networks related to stimulus attention and salience attribution (inferior frontal-parietal-ventral insula), and the processing of the negative affective properties of cocaine stimuli (frontal-temporal-cingulate). Recruitment of a sensory-motor-dorsal insula network was negatively correlated with AB-coc and suggested a regulatory role related to the sensorimotor processing of cocaine stimuli. The attentional bias effect for cocaine stimuli and for negative affective word stimuli were significantly correlated across individuals, and both were correlated with the activity of the frontal-temporal-cingulate network. Functional connectivity for a single prefrontal-striatal-occipital network correlated with variation in general cognitive control (cStroop) that was unrelated to behavioral or neural network correlates of cocStroop-or eStroop-related attentional bias. A brain-wide mass univariate analysis demonstrated the significant correlation of individual attentional bias effect for cocaine stimuli with distributed activations in the frontal, occipitotemporal, parietal, cingulate, and premotor cortex. These findings support the involvement of multiple processes and brain networks in mediating individual differences in risk for relapse associated with drug dependence.

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Section: Discussionmentioning

confidence: 99%

Individual Differences in Attentional Bias Associated with Cocaine Dependence Are Related to Varying Engagement of Neural Processing Networks

Kilts

Kennedy

Elton

et al. 2013

Neuropsychopharmacol

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“…Previous studies have reported joint activity in these regions for tasks requiring self-judgment (Araujo et al, 2013) and social comparison (Beer & Hughes, 2010;Kedia, Lindner, Mussweiler, Ihssen, & Linden, 2013;Lindner et al, 2015;Moore et al, 2014). Moreover, research shows that these brain areas are structurally (Ghaziri et al, 2017) and functionally connected to each other (Cauda et al, 2012(Cauda et al, , 2011Dosenbach et al, 2006;Penner et al, 2016;Sridharan, Levitin, & Menon, 2008;Taylor, Seminowicz, & Davis, 2009). Therefore, we combined the values obtained for each of these ROIs in a 5 (region: AI, vACC, dACC, VMPFC, & DMPFC) × 2 (hemisphere: left vs right) × 2 (targets: self-other vs familiar-other) × 2 (direction: upward vs downward) × 2 (distance: high vs low) repeated measure ANOVA.…”

Section: Fmri Data: Roi Analysesmentioning

confidence: 98%

So pretty! The neural correlates of self-other vs familiar-other attractiveness comparisons

Kedia

Mussweiler

Adam

et al. 2017

Social Neuroscience

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Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Previous research has demonstrated that comparing two persons activates a frontoparietal network associated with numbers and nonsocial magnitudes. However, it is unclear whether this network is also recruited by comparisons involving the self. Self-reflection engages self-serving motivations (e.g., the maintenance of a positive self-image) and is associated with specific brain structures, such as the medial prefrontal cortex (MPFC), the anterior insula (AI) and the anterior cingulate cortex (ACC). Self-other comparisons may thus rely on distinct neural activity. To clarify this question, we used fMRI and asked female participants to compare their own attractiveness (or the attractiveness of a familiar woman) to pictures of unknown women. Participants were slower for comparisons with targets whose attractiveness was similar to their own (or their familiar other). Yet although this behavioral result resembles the distance effect reported for nonsocial magnitudes, at the brain level, it was linked to the activity of the AI, the ACC and the MPFC. The effect of distance in these regions was stronger for self-other than familiar-other comparisons. We interpret these results in relation to previous literature in social psychology and social neuroscience.

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“…The anterior insula connects to the inferior frontal cortex and to the ACC [44]. It is thought to be involved in social-emotional and cognitive networks [45], and thus may play a crucial role in the neurobiology of MDD [42].…”

Section: Mr Imaging Of Brain Morphology and Structurementioning

confidence: 99%

Molecular, Functional, and Structural Imaging of Major Depressive Disorder

Zhang

Zhu

et al. 2016

Neurosci. Bull.

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Major depressive disorder (MDD) is a significant cause of morbidity and mortality worldwide, correlating with genetic susceptibility and environmental risk factors. Molecular, functional, and structural imaging approaches have been increasingly used to detect neurobiological changes, analyze neurochemical correlates, and parse pathophysiological mechanisms underlying MDD. We reviewed recent neuroimaging publications on MDD in terms of molecular, functional, and structural alterations as detected mainly by magnetic resonance imaging (MRI) and positron emission tomography. Altered structure and function of brain regions involved in the cognitive control of affective state have been demonstrated. An abnormal default mode network, as revealed by resting-state functional MRI, is likely associated with aberrant metabolic and serotonergic function revealed by radionuclide imaging. Further multi-modal investigations are essential to clarify the characteristics of the cortical network and serotonergic system associated with behavioral and genetic variations in MDD.

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Functional connectivity of the insula in the resting brain

Cited by 712 publications

References 104 publications

Individual Differences in Attentional Bias Associated with Cocaine Dependence Are Related to Varying Engagement of Neural Processing Networks

Individual Differences in Attentional Bias Associated with Cocaine Dependence Are Related to Varying Engagement of Neural Processing Networks

So pretty! The neural correlates of self-other vs familiar-other attractiveness comparisons

Molecular, Functional, and Structural Imaging of Major Depressive Disorder

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