Asymmetric Insular Connectomics Revealed by Diffusion Magnetic Resonance Imaging Analysis of Healthy Brain Development

Levman, Jacob; Fang, Zihang; Zumwalt, Katarina; Cogger, Liam; Vasung, Lana; MacDonald, Patrick; Lim, Ashley; Takahashi, Emi

doi:10.1089/brain.2018.0582

Cited by 5 publications

(5 citation statements)

References 78 publications

(88 reference statements)

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“…The right hemisphere is hypothesized to be dominant for somatosensory perception in right-handed people according to functional MRI meta-analysis 9,37 and rightward WM connection asymmetry. 38 Our results are consistent with this hypothesis. First, our RL group showed touch impairment not only in their contralesional hand but also in the ipsilesional hand (Figure 1).…”

Section: Discussionsupporting

confidence: 91%

Structural Connectivity Remote From Lesions Correlates With Somatosensory Outcome Poststroke

Koh

Yeh

Liang

et al. 2021

Stroke

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Background and Purpose: Changes in connectivity of white matter fibers remote to a stroke lesion, suggestive of structural connectional diaschisis, may impact on clinical impairment and recovery after stroke. However, until recently, we have not had tract-specific techniques to map changes in white matter tracts in vivo in humans to enable investigation of potential mechanisms and clinical impact of such remote changes. Our aim was to identify and quantify white matter tracts that are affected remote from a stroke lesion and to investigate the associations between reductions in tract-specific connectivity and impaired touch discrimination function after stroke. Methods: We applied fixel-based analysis to diffusion magnetic resonance imaging data from 37 patients with stroke (right lesion =16; left lesion =21) and 26 age-matched healthy adults. Three quantitative metrics were compared between groups: fiber density; fiber-bundle cross-section; and a combined measure of both (fiber-bundle cross-section) that reflects axonal structural connectivity. Results: Compared with healthy adults, patients with stroke showed significant common fiber-bundle cross-section and fiber density reductions in 4 regions remote from focal lesions that play roles in somatosensory and spatial information processing. Structural connectivity along the somatosensory fibers of the lesioned hemisphere was correlated with contralesional hand touch function. Touch function of the ipsilesional hand was associated with connectivity of the superior longitudinal fasciculus, and, for the right-lesion group, the corpus callosum. Conclusions: Remote tract-specific reductions in axonal connectivity indicated by diffusion imaging measures are observed in the somatosensory network after stroke. These remote white matter connectivity reductions, indicative of structural connectional diaschisis, are associated with touch impairment in patients with stroke.

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Section: Discussionsupporting

confidence: 91%

Structural Connectivity Remote From Lesions Correlates With Somatosensory Outcome Poststroke

Koh

Yeh

Liang

et al. 2021

Stroke

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“…This functional differentiation between dorsal and ventral anterior insula fits with previous anatomical and functional evidence obtained in monkeys (Caruana et al, 2011;Touroutoglou et al, 2016;Evrard, 2019). Although some functional and structural evidence points to possible asymmetries and lateralization of functions in human and non-human primate insula (Craig, 2005;Kurth et al, 2010a,b;Cerliani et al, 2012;Evrard et al, 2012;Jakab et al, 2012;Kucyi et al, 2012;Zhang et al, 2012;Chiarello et al, 2013;Lee et al, 2014;Biduła and Króliczak, 2015;Kann et al, 2016;Levman et al, 2019;Menon et al, 2020;Xia et al, 2020;Sypré et al, 2023), the extent to which the observed asymmetry in some cluster solutions reflects a real anatomical or functional asymmetry in macaques needs further examination.…”

Section: Figuresupporting

confidence: 87%

Intrinsic functional clustering of the macaque insular cortex

Sypré,

Sharma,

Mantini

et al. 2024

Front. Integr. Neurosci.

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The functional organization of the primate insula has been studied using a variety of techniques focussing on regional differences in either architecture, connectivity, or function. These complementary methods offered insights into the complex organization of the insula and proposed distinct parcellation schemes at varying levels of detail and complexity. The advent of imaging techniques that allow non-invasive assessment of structural and functional connectivity, has popularized data-driven connectivity-based parcellation methods to investigate the organization of the human insula. Yet, it remains unclear if the subdivisions derived from these data-driven clustering methods reflect meaningful descriptions of the functional specialization of the insula. In this study, we employed hierarchical clustering to examine the cluster parcellations of the macaque insula. As our aim was exploratory, we examined parcellations consisting of two up to ten clusters. Three different cluster validation methods (fingerprinting, silhouette, elbow) converged on a four-cluster solution as the most optimal representation of our data. Examining functional response properties of these clusters, in addition to their brain-wide functional connectivity suggested a functional specialization related to processing gustatory, somato-motor, vestibular and social visual cues. However, a more detailed functional differentiation aligning with previous functional investigations of insula subfields became evident at higher cluster numbers beyond the proposed optimal four clusters. Overall, our findings demonstrate that resting-state-based hierarchical clustering can provide a meaningful description of the insula’s functional organization at some level of detail. Nonetheless, cluster parcellations derived from this method are best combined with data obtained through other modalities, to provide a more comprehensive and detailed account of the insula’s complex functional organization.

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“…Informed consent was waived due to the lack of risk to the study participants. Examinations from 642 participants retrospectively assessed as healthy/neurotypical [12] were imaged at Boston Children's Hospital, and participants with a directional diffusion MRI acquisition included as part of their examination were the subjects of a previous analysis [13]. The participant population addressed in this analysis ranged in age from 0.7 to 23.5 years, thus spanning a comprehensive range of neurological development from a pediatric population.…”

Section: Methodsmentioning

confidence: 99%

“…The participant population addressed in this analysis ranged in age from 0.7 to 23.5 years, thus spanning a comprehensive range of neurological development from a pediatric population. The dataset was subject to exclusions based on examinations with a high degree of motion or low-quality images; external artifacts (such as metal dental work); samples without a useful T1 structural MRI volume; and unhealthy participants as assessed at BCH, as previously described [12,13].…”

Section: Methodsmentioning

confidence: 99%

Baseline Structural Connectomics Data of Healthy Brain Development Assessed with Multi-Modal Magnetic Resonance Imaging

Mattie,

Fang,

Takahashi

et al. 2024

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Diffusion magnetic resonance imaging (MRI) tractography is a powerful tool for non-invasively studying brain architecture and structural integrity by inferring fiber tracts based on water diffusion profiles. This study provided a thorough set of baseline data of structural connectomics biomarkers for 809 healthy participants between the ages of 1 and 35 years. The data provided can help to identify potential biomarkers that may be helpful in characterizing physiological and anatomical neurodevelopmental changes linked with healthy brain maturation and can be used as a baseline for comparing abnormal and pathological development in future studies. Our results demonstrate statistically significant differences between the sexes, representing a potentially important baseline from which to establish healthy growth trajectories. Biomarkers that correlated with age, potentially representing useful methods for assessing brain development, are also presented. This baseline information may facilitate studies that identify abnormal brain development associated with a variety of pathological conditions as departures from healthy sex-specific age-dependent neural development. Our findings are the result of combining the use of mainstream analytic methods with in-house-developed open-source software to help facilitate reproducible analyses, inclusive of many potential biomarkers that cannot be derived from existing software packages. Assessing relationships between our identified regional tract measurements produced by our technology and participant characteristics/phenotypic data in future analyses has tremendous potential for the study of human neurodevelopment.

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Asymmetric Insular Connectomics Revealed by Diffusion Magnetic Resonance Imaging Analysis of Healthy Brain Development

Cited by 5 publications

References 78 publications

Structural Connectivity Remote From Lesions Correlates With Somatosensory Outcome Poststroke

Structural Connectivity Remote From Lesions Correlates With Somatosensory Outcome Poststroke

Intrinsic functional clustering of the macaque insular cortex

Baseline Structural Connectomics Data of Healthy Brain Development Assessed with Multi-Modal Magnetic Resonance Imaging

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