0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Changes in Structural Covariance among Olfactory-related Brain Regions in Anosmia Patients

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Anosmia, characterized by the loss of smell, is associated not only with dysfunction in the peripheral olfactory system but also with changes in several brain regions involved in olfactory processing. Specifically, the orbitofrontal cortex is recognized for its pivotal role in integrating olfactory information, engaging in bidirectional communication with the primary olfactory regions, including the olfactory cortex, amygdala, and entorhinal cortex. However, little is known about alterations in structural connections among these brain regions in patients with anosmia. In this study, high-resolution T1-weighted images were obtained from participants. Utilizing the volumes of key brain regions implicated in olfactory function, we employed a structural covariance approach to investigate brain reorganization patterns in patients with anosmia (n=22) compared to healthy individuals (n=30). Our structural covariance analysis demonstrated diminished connectivity between the amygdala and entorhinal cortex, components of the primary olfactory network, in patients with anosmia compared to healthy individuals (z=-2.22, FDR-corrected p=0.039). Conversely, connectivity between the orbitofrontal cortex—a major region in the extended olfactory network—and amygdala was found to be enhanced in the anosmia group compared to healthy individuals (z=2.32, FDR-corrected p=0.039). However, the structural connections between the orbitofrontal cortex and entorhinal cortex did not differ significantly between the groups (z=0.04, FDR-corrected p=0.968). These findings suggest a potential structural reorganization, particularly of higher-order cortical regions, possibly as a compensatory effort to interpret the limited olfactory information available in individuals with olfactory loss.

          Related collections

          Most cited references51

          • Record: found
          • Abstract: found
          • Article: not found

          Cortical surface-based analysis. I. Segmentation and surface reconstruction.

          Several properties of the cerebral cortex, including its columnar and laminar organization, as well as the topographic organization of cortical areas, can only be properly understood in the context of the intrinsic two-dimensional structure of the cortical surface. In order to study such cortical properties in humans, it is necessary to obtain an accurate and explicit representation of the cortical surface in individual subjects. Here we describe a set of automated procedures for obtaining accurate reconstructions of the cortical surface, which have been applied to data from more than 100 subjects, requiring little or no manual intervention. Automated routines for unfolding and flattening the cortical surface are described in a companion paper. These procedures allow for the routine use of cortical surface-based analysis and visualization methods in functional brain imaging. Copyright 1999 Academic Press.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Automatically parcellating the human cerebral cortex.

            We present a technique for automatically assigning a neuroanatomical label to each location on a cortical surface model based on probabilistic information estimated from a manually labeled training set. This procedure incorporates both geometric information derived from the cortical model, and neuroanatomical convention, as found in the training set. The result is a complete labeling of cortical sulci and gyri. Examples are given from two different training sets generated using different neuroanatomical conventions, illustrating the flexibility of the algorithm. The technique is shown to be comparable in accuracy to manual labeling.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Thresholding of statistical maps in functional neuroimaging using the false discovery rate.

              Finding objective and effective thresholds for voxelwise statistics derived from neuroimaging data has been a long-standing problem. With at least one test performed for every voxel in an image, some correction of the thresholds is needed to control the error rates, but standard procedures for multiple hypothesis testing (e.g., Bonferroni) tend to not be sensitive enough to be useful in this context. This paper introduces to the neuroscience literature statistical procedures for controlling the false discovery rate (FDR). Recent theoretical work in statistics suggests that FDR-controlling procedures will be effective for the analysis of neuroimaging data. These procedures operate simultaneously on all voxelwise test statistics to determine which tests should be considered statistically significant. The innovation of the procedures is that they control the expected proportion of the rejected hypotheses that are falsely rejected. We demonstrate this approach using both simulations and functional magnetic resonance imaging data from two simple experiments. (C)2002 Elsevier Science (USA).
                Bookmark

                Author and article information

                Journal
                Exp Neurobiol
                Exp Neurobiol
                Experimental Neurobiology
                The Korean Society for Brain and Neural Sciences
                1226-2560
                2093-8144
                30 April 2024
                30 April 2024
                30 April 2024
                : 33
                : 2
                : 99-106
                Affiliations
                [1 ]College of Pharmacy, Dongduk Women’s University, Seoul 02748, Korea
                [2 ]Ewha Brain Institute, Ewha Womans University, Seoul 03760, Korea
                [3 ]Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul 03760, Korea
                [4 ]Department of Otorhinolaryngology-Head & Neck Surgery, Boramae Medical Center, Seoul National University College of Medicine, Seoul 07061, Korea
                [5 ]Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul 03760, Korea
                Author notes
                [* ]To whom correspondence should be addressed. Sujung Yoon, TEL: 82-2-3277-2478, FAX: 82-2-3277-6562, e-mail: sujungjyoon@ 123456ewha.ac.kr
                Dae Woo Kim, TEL: 82-2-870-2446, FAX: 82-2-831-2826, e-mail: kicubi73@ 123456gmail.com
                [†]

                These authors contributed equally to this article.

                Article
                en-33-2-99
                10.5607/en24007
                11089402
                38724479
                56c615bc-2b16-49ff-adee-e3cd5dc97d32
                Copyright © Experimental Neurobiology 2024

                This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 March 2024
                : 1 April 2024
                : 9 April 2024
                Categories
                Original Article

                Neurosciences
                anosmia,amygdala,entorhinal cortex,orbitofrontal cortex,structural covariance analysis

                Comments

                Comment on this article