Author:

Keywords:

Science & Technology, Life Sciences & Biomedicine, Behavioral Sciences, Neurosciences, Neurosciences & Neurology, macaque, insula, clustering, resting-state, fMRI, ANTERIOR INSULA, ARCHITECTONIC ORGANIZATION, STRUCTURAL ASYMMETRY, DEFAULT-MODE, CONNECTIVITY, PARCELLATION, MONKEY, RESPONSES, FMRI, NETWORK, G085419N#54971228, C14/17/109#54271217, C14/21/111#56287024, 1109 Neurosciences, 1701 Psychology, 1702 Cognitive Sciences, 3101 Biochemistry and cell biology, 3202 Clinical sciences, 3209 Neurosciences

Abstract:

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.