Insula functional connectivity in schizophrenia

Sheffield, Julia M.; Rogers, Baxter P.; Blackford, Jennifer Urbano; Heckers, Stephan; Woodward, Neil D.

doi:10.1016/j.schres.2020.03.068

Cited by 49 publications

(29 citation statements)

References 60 publications

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“…In fact, altered gyrification has been put forth as foundational to the global connectivity abnormalities in schizophrenia thought to sub-serve clinical phenotypes 79 . Recently, we have shown altered functional connectivity of insula sub-regions during resting-state in an overlapping sample of schizophrenia participants 4 . Functional differentiation of insula connectivity in schizophrenia is also altered along the anterior-posterior axis 5 .…”

Section: Discussionmentioning

confidence: 99%

“…Most anterior, the agranular insula has reciprocal connections with limbic regions and is implicated in emotion processing and social cognition 50 . We, therefore, hypothesized it would contribute to negative symptoms, as recently demonstrated using functional connectivity 4 . The middle dysgranular sub-region receives projections from the cingulate cortex and striatum and projects to parietal and prefrontal cortices, supporting its involvement in higher-order cognition (e.g., memory, attention) 4 , 51 .…”

Section: Introductionmentioning

confidence: 89%

“…We, therefore, hypothesized it would contribute to negative symptoms, as recently demonstrated using functional connectivity 4 . The middle dysgranular sub-region receives projections from the cingulate cortex and striatum and projects to parietal and prefrontal cortices, supporting its involvement in higher-order cognition (e.g., memory, attention) 4 , 51 . Relationships with overall cognitive ability were therefore investigated.…”

Section: Introductionmentioning

confidence: 89%

“…Due to its diverse role in a variety of cognitive, affective, and regulatory functions, the insula is increasingly implicated in psychiatric disorders, with particular interest in its role in psychosis 2 . Insula abnormalities are ubiquitous in psychotic disorders and include structural changes 3 , abnormal resting-state functional connectivity 4 , 5 , and altered task-based activation 6 , 7 . Of these, volume deficits are among the most commonly reported.…”

Section: Introductionmentioning

confidence: 99%

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Insula sub-regions across the psychosis spectrum: morphology and clinical correlates

et al. 2021

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The insula is a heterogeneous cortical region, comprised of three cytoarchitecturally distinct sub-regions (agranular, dysgranular, and granular), which traverse the anterior-posterior axis and are differentially involved in affective, cognitive, and somatosensory processing. Smaller insula volume is consistently reported in psychosis-spectrum disorders and is hypothesized to result, in part, from abnormal neurodevelopment. To better understand the regional and diagnostic specificity of insula abnormalities in psychosis, their developmental etiology, and clinical correlates, we characterized insula volume and morphology in a large group of adults with a psychotic disorder (schizophrenia spectrum, psychotic bipolar disorder) and a community-ascertained cohort of psychosis-spectrum youth (age 8–21). Insula volume and morphology (cortical thickness, gyrification, sulcal depth) were quantified from T1-weighted structural brain images using the Computational Anatomy Toolbox (CAT12). Healthy adults (n = 196), people with a psychotic disorder (n = 303), and 1368 individuals from the Philadelphia Neurodevelopmental Cohort (PNC) (381 typically developing (TD), 381 psychosis-spectrum (PS) youth, 606 youth with other psychopathology (OP)), were investigated. Insula volume was significantly reduced in adults with psychotic disorders and psychosis-spectrum youth, following an anterior-posterior gradient across granular sub-regions. Morphological abnormalities were limited to lower gyrification in psychotic disorders, which was specific to schizophrenia and associated with cognitive ability. Insula volume and thickness were associated with cognition, and positive and negative symptoms of psychosis. We conclude that smaller insula volume follows an anterior-posterior gradient in psychosis and confers a broad risk for psychosis-spectrum disorders. Reduced gyrification is specific to schizophrenia and may reflect altered prenatal development that contributes to cognitive impairment.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

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Insula sub-regions across the psychosis spectrum: morphology and clinical correlates

et al. 2021

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“…Connectional topography plays important role in brain functions and behaviors, and can provide insight into neurodevelopment, too (Phillips, Fish, Kambi, Redinbaugh, & Saalmann, 2019;Thompson, Mohammadi-Nejad, Robinson, Andersson, & Sotiropoulos, 2020;Wu, Calhoun, Jung, & Caprihan, 2015). Many neuropsychiatric disorders, such as schizophrenia, have been manifested by disrupted communications for connections between distributed brain networks (Gong et al, 2019;Jiang et al, 2019;Kim et al, 2020;Rolls et al, 2020;Sheffield, Rogers, Blackford, Heckers, & Woodward, 2020). Thus, connectional topography mapping is a matter of utmost importance for revealing the connectional organization of the brain.…”

Section: Introductionmentioning

confidence: 99%

Concurrent brain parcellation and connectivity estimation via co‐clustering of resting state fMRI data: A novel approach

Cheng

Liu

2021

Human Brain Mapping

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Connectional topography mapping has been gaining widespread attention in human brain imaging studies. However, existing methods might not effectively utilize the information from neuroimaging data, thus hindering the understanding of the underlying connectional organization in the brain and uncovering the optimal clustering number from the data. In this study, we propose a novel method for the automated construction of inherent functional connectivity topography in a data-driven manner by leveraging the power of co-clustering-based on resting state fMRI (rs-fMRI) data.We propose the co-clustering-based method not only for concurrently parcellating two interconnected brain regions of interest (ROIs) under consideration into functionally homogenous subregions, but also for estimating the connectivity between these subregions from the two brain ROIs. In particular, we first model the connectional topography mapping as a co-clustering-based bipartite graph partitioning problem for constructing the inherent functional connectivity topography between the two interconnected brain ROIs. We also adopt an objective criterion, that is, silhouette width index measuring clustering quality, for determining the optimal number of clusters. The proposed method has been validated for mapping thalamocortical connectional topography based on rs-fMRI data of 57 subjects. Validation results have demonstrated that our method identified the optimal solution with five pairs of mutually connected subregions of the thalamocortical system from the rs-fMRI data, and could yield more meaningful, interpretable, and homogenous connectional topography than existing methods. The proposed method was further validated by the high symmetry of the mapped connectional topography between two hemispheres.

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Functional connectivity gradients of the insula to different cerebral systems

Shen

et al. 2022

Human Brain Mapping

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The diverse functional roles of the insula may emerge from its heavy connectivity to an extensive network of cortical and subcortical areas. Despite several previous attempts to investigate the hierarchical organization of the insula by applying the recently developed gradient approach to insula‐to‐whole brain connectivity data, little is known about whether and how there is variability across connectivity gradients of the insula to different cerebral systems. Resting‐state functional MRI data from 793 healthy subjects were used to discover and validate functional connectivity gradients of the insula, which were computed based on its voxel‐wise functional connectivity profiles to distinct cerebral systems. We identified three primary patterns of functional connectivity gradients of the insula to distinct cerebral systems. The connectivity gradients to the higher‐order transmodal associative systems, including the prefrontal, posterior parietal, temporal cortices, and limbic lobule, showed a ventroanterior‐dorsal axis across the insula; those to the lower‐order unimodal primary systems, including the motor, somatosensory, and occipital cortices, displayed radiating transitions from dorsoanterior toward both ventroanterior and dorsoposterior parts of the insula; the connectivity gradient to the subcortical nuclei exhibited an organization along the anterior–posterior axis of the insula. Apart from complementing and extending previous literature on the heterogeneous connectivity patterns of insula subregions, the presented framework may offer ample opportunities to refine our understanding of the role of the insula in many brain disorders.

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Insula functional connectivity in schizophrenia

Cited by 49 publications

References 60 publications

Insula sub-regions across the psychosis spectrum: morphology and clinical correlates

Insula sub-regions across the psychosis spectrum: morphology and clinical correlates

Concurrent brain parcellation and connectivity estimation via co‐clustering of resting state fMRI data: A novel approach

Functional connectivity gradients of the insula to different cerebral systems

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