Cargando…

Characterization of Cognitive Function in Survivors of Diffuse Gliomas Using Morphometric Correlation Networks

This pilot study investigates structural alterations and their relationships with cognitive function in survivors of diffuse gliomas. Twenty-four survivors of diffuse gliomas (mean age 44.5 ± 11.5), from whom high-resolution T1-weighted images, neuropsychological tests, and self-report questionnaire...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Chencai, Cho, Nicholas S., Dyk, Kathleen Van, Islam, Sabah, Raymond, Catalina, Choi, Justin, Salamon, Noriko, Pope, Whitney B., Lai, Albert, Cloughesy, Timothy F., Nghiemphu, Phioanh L., Ellingson, Benjamin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229761/
https://www.ncbi.nlm.nih.gov/pubmed/35736864
http://dx.doi.org/10.3390/tomography8030116
_version_ 1784734832793747456
author Wang, Chencai
Cho, Nicholas S.
Dyk, Kathleen Van
Islam, Sabah
Raymond, Catalina
Choi, Justin
Salamon, Noriko
Pope, Whitney B.
Lai, Albert
Cloughesy, Timothy F.
Nghiemphu, Phioanh L.
Ellingson, Benjamin M.
author_facet Wang, Chencai
Cho, Nicholas S.
Dyk, Kathleen Van
Islam, Sabah
Raymond, Catalina
Choi, Justin
Salamon, Noriko
Pope, Whitney B.
Lai, Albert
Cloughesy, Timothy F.
Nghiemphu, Phioanh L.
Ellingson, Benjamin M.
author_sort Wang, Chencai
collection PubMed
description This pilot study investigates structural alterations and their relationships with cognitive function in survivors of diffuse gliomas. Twenty-four survivors of diffuse gliomas (mean age 44.5 ± 11.5), from whom high-resolution T1-weighted images, neuropsychological tests, and self-report questionnaires were obtained, were analyzed. Patients were grouped by degree of cognitive impairment, and interregional correlations of cortical thickness were computed to generate morphometric correlation networks (MCNs). The results show that the cortical thickness of the right insula (R(2) = 0.3025, p = 0.0054) was negatively associated with time since the last treatment, and the cortical thickness of the left superior temporal gyrus (R(2) = 0.2839, p = 0.0107) was positively associated with cognitive performance. Multiple cortical regions in the default mode, salience, and language networks were identified as predominant nodes in the MCNs of survivors of diffuse gliomas. Compared to cognitively impaired patients, cognitively non-impaired patients tended to have higher network stability in network nodes removal analysis, especially when the fraction of removed nodes (among 66 nodes in total) exceeded 55%. These findings suggest that structural networks are altered in survivors of diffuse gliomas and that their cortical structures may also be adapting to support cognitive function during survivorship.
format Online
Article
Text
id pubmed-9229761
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-92297612022-06-25 Characterization of Cognitive Function in Survivors of Diffuse Gliomas Using Morphometric Correlation Networks Wang, Chencai Cho, Nicholas S. Dyk, Kathleen Van Islam, Sabah Raymond, Catalina Choi, Justin Salamon, Noriko Pope, Whitney B. Lai, Albert Cloughesy, Timothy F. Nghiemphu, Phioanh L. Ellingson, Benjamin M. Tomography Article This pilot study investigates structural alterations and their relationships with cognitive function in survivors of diffuse gliomas. Twenty-four survivors of diffuse gliomas (mean age 44.5 ± 11.5), from whom high-resolution T1-weighted images, neuropsychological tests, and self-report questionnaires were obtained, were analyzed. Patients were grouped by degree of cognitive impairment, and interregional correlations of cortical thickness were computed to generate morphometric correlation networks (MCNs). The results show that the cortical thickness of the right insula (R(2) = 0.3025, p = 0.0054) was negatively associated with time since the last treatment, and the cortical thickness of the left superior temporal gyrus (R(2) = 0.2839, p = 0.0107) was positively associated with cognitive performance. Multiple cortical regions in the default mode, salience, and language networks were identified as predominant nodes in the MCNs of survivors of diffuse gliomas. Compared to cognitively impaired patients, cognitively non-impaired patients tended to have higher network stability in network nodes removal analysis, especially when the fraction of removed nodes (among 66 nodes in total) exceeded 55%. These findings suggest that structural networks are altered in survivors of diffuse gliomas and that their cortical structures may also be adapting to support cognitive function during survivorship. MDPI 2022-05-26 /pmc/articles/PMC9229761/ /pubmed/35736864 http://dx.doi.org/10.3390/tomography8030116 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Chencai
Cho, Nicholas S.
Dyk, Kathleen Van
Islam, Sabah
Raymond, Catalina
Choi, Justin
Salamon, Noriko
Pope, Whitney B.
Lai, Albert
Cloughesy, Timothy F.
Nghiemphu, Phioanh L.
Ellingson, Benjamin M.
Characterization of Cognitive Function in Survivors of Diffuse Gliomas Using Morphometric Correlation Networks
title Characterization of Cognitive Function in Survivors of Diffuse Gliomas Using Morphometric Correlation Networks
title_full Characterization of Cognitive Function in Survivors of Diffuse Gliomas Using Morphometric Correlation Networks
title_fullStr Characterization of Cognitive Function in Survivors of Diffuse Gliomas Using Morphometric Correlation Networks
title_full_unstemmed Characterization of Cognitive Function in Survivors of Diffuse Gliomas Using Morphometric Correlation Networks
title_short Characterization of Cognitive Function in Survivors of Diffuse Gliomas Using Morphometric Correlation Networks
title_sort characterization of cognitive function in survivors of diffuse gliomas using morphometric correlation networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229761/
https://www.ncbi.nlm.nih.gov/pubmed/35736864
http://dx.doi.org/10.3390/tomography8030116
work_keys_str_mv AT wangchencai characterizationofcognitivefunctioninsurvivorsofdiffusegliomasusingmorphometriccorrelationnetworks
AT chonicholass characterizationofcognitivefunctioninsurvivorsofdiffusegliomasusingmorphometriccorrelationnetworks
AT dykkathleenvan characterizationofcognitivefunctioninsurvivorsofdiffusegliomasusingmorphometriccorrelationnetworks
AT islamsabah characterizationofcognitivefunctioninsurvivorsofdiffusegliomasusingmorphometriccorrelationnetworks
AT raymondcatalina characterizationofcognitivefunctioninsurvivorsofdiffusegliomasusingmorphometriccorrelationnetworks
AT choijustin characterizationofcognitivefunctioninsurvivorsofdiffusegliomasusingmorphometriccorrelationnetworks
AT salamonnoriko characterizationofcognitivefunctioninsurvivorsofdiffusegliomasusingmorphometriccorrelationnetworks
AT popewhitneyb characterizationofcognitivefunctioninsurvivorsofdiffusegliomasusingmorphometriccorrelationnetworks
AT laialbert characterizationofcognitivefunctioninsurvivorsofdiffusegliomasusingmorphometriccorrelationnetworks
AT cloughesytimothyf characterizationofcognitivefunctioninsurvivorsofdiffusegliomasusingmorphometriccorrelationnetworks
AT nghiemphuphioanhl characterizationofcognitivefunctioninsurvivorsofdiffusegliomasusingmorphometriccorrelationnetworks
AT ellingsonbenjaminm characterizationofcognitivefunctioninsurvivorsofdiffusegliomasusingmorphometriccorrelationnetworks