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Sypré L, Sharma S, Mantini D, Nelissen K. Intrinsic functional clustering of the macaque insular cortex. Front Integr Neurosci 2024; 17:1272529. [PMID: 38250745 PMCID: PMC10797002 DOI: 10.3389/fnint.2023.1272529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 12/18/2023] [Indexed: 01/23/2024] Open
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.
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Affiliation(s)
- Lotte Sypré
- Laboratory for Neuro- & Psychophysiology, Department of Neurosciences, KU Leuven, Leuven, Belgium
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | | | - Dante Mantini
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Movement Control & Neuroplasticity Research Group, KU Leuven, Leuven, Belgium
| | - Koen Nelissen
- Laboratory for Neuro- & Psychophysiology, Department of Neurosciences, KU Leuven, Leuven, Belgium
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
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Kang K, Sathe A, Mandloi S, Muller J, Ozuna GAG, Franco D, Miller C, Sharan A, Mohamed FB, Faro S, Alizadeh M, Wu C. Evaluation of eight registration algorithms applied to the insula and insular gyri. J Neuroimaging 2023; 33:446-454. [PMID: 36813464 DOI: 10.1111/jon.13091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 02/01/2023] [Accepted: 02/07/2023] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND AND PURPOSE Spatial registration is crucial in establishing correspondence between anatomic brain regions for research and clinical purposes. The insular cortex (IC) and gyri (IG) are implicated in various functions and pathologies including epilepsy. Optimizing registration of the insula to a common atlas can improve the accuracy of group-level analyses. Here, we compared six nonlinear, one linear, and one semiautomated registration algorithms (RAs) for registering the IC and IG to the Montreal Neurologic Institute standard space (MNI152). METHODS 3T images acquired from 20 controls and 20 temporal lobe epilepsy patients with mesial temporal sclerosis underwent automated segmentation of the insula. This was followed by manual segmentation of the entire IC and six individual IGs. Consensus segmentations were created at 75% agreement for IC and IG before undergoing registration to MNI152 space with eight RAs. Dice similarity coefficients (DSCs) were calculated between segmentations after registration and the IC and IG in MNI152 space. Statistical analysis involved the Kruskal-Wallace test with Dunn's test for IC and two-way analysis of variance with Tukey's honest significant difference test for IG. RESULTS DSCs were significantly different between RAs. Based on multiple pairwise comparisons, we report that certain RAs performed better than others across population groups. Additionally, registration performance differed according to specific IG. CONCLUSION We compared different methods for registering the IC and IG to MNI152 space. We found differences in performance between RAs, which suggests that algorithm choice is important factor in analyses involving the insula.
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Affiliation(s)
- KiChang Kang
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Anish Sathe
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Shreya Mandloi
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Jennifer Muller
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Glenn Arturo Gonzalez Ozuna
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Daniel Franco
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Christopher Miller
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Ashwini Sharan
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Feroze B Mohamed
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Scott Faro
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Mahdi Alizadeh
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.,Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Chengyuan Wu
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.,Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
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Koh CL, Yeh CH, Liang X, Vidyasagar R, Seitz RJ, Nilsson M, Connelly A, Carey LM. Structural Connectivity Remote From Lesions Correlates With Somatosensory Outcome Poststroke. Stroke 2021; 52:2910-2920. [PMID: 34134504 DOI: 10.1161/strokeaha.120.031520] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Chia-Lin Koh
- Neurorehabilitation and Recovery (C.-L.K., X.L., R.V., R.J.S., L.M.C.), Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia.,Occupational Therapy, School of Allied Health, Human Services and Sport, College of Science, Health, and Engineering, La Trobe University, Bundoora, Victoria, Australia (C.-L.K., M.N., L.M.C.).,Florey Department of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia (C.-L.K., C.-H.Y., X.L., R.V., M.N., A.C., L.M.C.).,Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan (C.-L.K.)
| | - Chun-Hung Yeh
- Imaging Division (C.-H.Y., A.C.), Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia.,Florey Department of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia (C.-L.K., C.-H.Y., X.L., R.V., M.N., A.C., L.M.C.).,Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital, Taoyuan, Taiwan (C.-H.Y.).,Department of Child and Adolescent Psychiatry, Chang Gung Memorial Hospital, Taoyuan, Taiwan (C.-H.Y.)
| | - Xiaoyun Liang
- Neurorehabilitation and Recovery (C.-L.K., X.L., R.V., R.J.S., L.M.C.), Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia.,Florey Department of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia (C.-L.K., C.-H.Y., X.L., R.V., M.N., A.C., L.M.C.).,Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia (X.L.)
| | - Rishma Vidyasagar
- Neurorehabilitation and Recovery (C.-L.K., X.L., R.V., R.J.S., L.M.C.), Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia.,Florey Department of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia (C.-L.K., C.-H.Y., X.L., R.V., M.N., A.C., L.M.C.)
| | - Rüdiger J Seitz
- Neurorehabilitation and Recovery (C.-L.K., X.L., R.V., R.J.S., L.M.C.), Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia.,Department of Neurology, Center for Neurology and Neuropsychiatry, LVR-Klinikum Düsseldorf, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany (R.J.S.)
| | - Michael Nilsson
- Occupational Therapy, School of Allied Health, Human Services and Sport, College of Science, Health, and Engineering, La Trobe University, Bundoora, Victoria, Australia (C.-L.K., M.N., L.M.C.).,Florey Department of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia (C.-L.K., C.-H.Y., X.L., R.V., M.N., A.C., L.M.C.).,School of Biomedical Sciences and Pharmacy and Priority Research Centre for Stroke and Brain Injury, The University of Newcastle, Callaghan, NSW, Australia (M.N.)
| | - Alan Connelly
- Imaging Division (C.-H.Y., A.C.), Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia.,Florey Department of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia (C.-L.K., C.-H.Y., X.L., R.V., M.N., A.C., L.M.C.)
| | - Leeanne M Carey
- Neurorehabilitation and Recovery (C.-L.K., X.L., R.V., R.J.S., L.M.C.), Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia.,Occupational Therapy, School of Allied Health, Human Services and Sport, College of Science, Health, and Engineering, La Trobe University, Bundoora, Victoria, Australia (C.-L.K., M.N., L.M.C.).,Florey Department of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia (C.-L.K., C.-H.Y., X.L., R.V., M.N., A.C., L.M.C.)
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