Connectomic profile and clinical phenotype in newly diagnosed glioma patients
Gliomas are primary brain tumors, originating from the glial cells in the brain. In contrast to the more traditional view of glioma as a localized disease, it is becoming clear that global brain functioning is impacted, even with respect to functional communication between brain regions remote from...
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doaj-5fd77e22d0e543c4b5b7dd39354d7afc2020-11-24T23:12:21ZengElsevierNeuroImage: Clinical2213-15822017-01-0114C879610.1016/j.nicl.2017.01.007Connectomic profile and clinical phenotype in newly diagnosed glioma patientsJolanda Derks0Anne R. Dirkson1Philip C. de Witt Hamer2Quinten van Geest3Hanneke E. Hulst4Frederik Barkhof5Petra J.W. Pouwels6Jeroen J.G. Geurts7Jaap C. Reijneveld8Linda Douw9Department of Anatomy and Neurosciences, VU University Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, The NetherlandsDepartment of Anatomy and Neurosciences, VU University Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, The NetherlandsVUmc CCA Brain Tumor Center Amsterdam, De Boelelaan 1117, Amsterdam, The NetherlandsDepartment of Anatomy and Neurosciences, VU University Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, The NetherlandsDepartment of Anatomy and Neurosciences, VU University Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, The NetherlandsDepartment of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, Amsterdam, The NetherlandsDepartment of Physics and Medical Technology, VU University Medical Center, De Boelelaan 1117, Amsterdam, The NetherlandsDepartment of Anatomy and Neurosciences, VU University Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, The NetherlandsVUmc CCA Brain Tumor Center Amsterdam, De Boelelaan 1117, Amsterdam, The NetherlandsDepartment of Anatomy and Neurosciences, VU University Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, The NetherlandsGliomas are primary brain tumors, originating from the glial cells in the brain. In contrast to the more traditional view of glioma as a localized disease, it is becoming clear that global brain functioning is impacted, even with respect to functional communication between brain regions remote from the tumor itself. However, a thorough investigation of glioma-related functional connectomic profiles is lacking. Therefore, we constructed functional brain networks using functional MR scans of 71 glioma patients and 19 matched healthy controls using the automated anatomical labelling (AAL) atlas and interregional Pearson correlation coefficients. The frequency distributions across connectivity values were calculated to depict overall connectomic profiles and quantitative features of these distributions (full-width half maximum (FWHM), peak position, peak height) were calculated. Next, we investigated the spatial distribution of the connectomic profile. We defined hub locations based on the literature and determined connectivity (1) between hubs, (2) between hubs and non-hubs, and (3) between non-hubs. Results show that patients had broader and flatter connectivity distributions compared to controls. Spatially, glioma patients particularly showed increased connectivity between non-hubs and hubs. Furthermore, connectivity distributions and hub-non-hub connectivity differed within the patient group according to tumor grade, while relating to Karnofsky performance status and progression-free survival. In conclusion, newly diagnosed glioma patients have globally altered functional connectomic profiles, which mainly affect hub connectivity and relate to clinical phenotypes. These findings underscore the promise of using connectomics as a future biomarker in this patient population.http://www.sciencedirect.com/science/article/pii/S2213158217300074Functional connectivityNeuro-oncologyConnectomeGliomaNetwork theoryHubs |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jolanda Derks Anne R. Dirkson Philip C. de Witt Hamer Quinten van Geest Hanneke E. Hulst Frederik Barkhof Petra J.W. Pouwels Jeroen J.G. Geurts Jaap C. Reijneveld Linda Douw |
spellingShingle |
Jolanda Derks Anne R. Dirkson Philip C. de Witt Hamer Quinten van Geest Hanneke E. Hulst Frederik Barkhof Petra J.W. Pouwels Jeroen J.G. Geurts Jaap C. Reijneveld Linda Douw Connectomic profile and clinical phenotype in newly diagnosed glioma patients NeuroImage: Clinical Functional connectivity Neuro-oncology Connectome Glioma Network theory Hubs |
author_facet |
Jolanda Derks Anne R. Dirkson Philip C. de Witt Hamer Quinten van Geest Hanneke E. Hulst Frederik Barkhof Petra J.W. Pouwels Jeroen J.G. Geurts Jaap C. Reijneveld Linda Douw |
author_sort |
Jolanda Derks |
title |
Connectomic profile and clinical phenotype in newly diagnosed glioma patients |
title_short |
Connectomic profile and clinical phenotype in newly diagnosed glioma patients |
title_full |
Connectomic profile and clinical phenotype in newly diagnosed glioma patients |
title_fullStr |
Connectomic profile and clinical phenotype in newly diagnosed glioma patients |
title_full_unstemmed |
Connectomic profile and clinical phenotype in newly diagnosed glioma patients |
title_sort |
connectomic profile and clinical phenotype in newly diagnosed glioma patients |
publisher |
Elsevier |
series |
NeuroImage: Clinical |
issn |
2213-1582 |
publishDate |
2017-01-01 |
description |
Gliomas are primary brain tumors, originating from the glial cells in the brain. In contrast to the more traditional view of glioma as a localized disease, it is becoming clear that global brain functioning is impacted, even with respect to functional communication between brain regions remote from the tumor itself. However, a thorough investigation of glioma-related functional connectomic profiles is lacking. Therefore, we constructed functional brain networks using functional MR scans of 71 glioma patients and 19 matched healthy controls using the automated anatomical labelling (AAL) atlas and interregional Pearson correlation coefficients. The frequency distributions across connectivity values were calculated to depict overall connectomic profiles and quantitative features of these distributions (full-width half maximum (FWHM), peak position, peak height) were calculated. Next, we investigated the spatial distribution of the connectomic profile. We defined hub locations based on the literature and determined connectivity (1) between hubs, (2) between hubs and non-hubs, and (3) between non-hubs. Results show that patients had broader and flatter connectivity distributions compared to controls. Spatially, glioma patients particularly showed increased connectivity between non-hubs and hubs. Furthermore, connectivity distributions and hub-non-hub connectivity differed within the patient group according to tumor grade, while relating to Karnofsky performance status and progression-free survival. In conclusion, newly diagnosed glioma patients have globally altered functional connectomic profiles, which mainly affect hub connectivity and relate to clinical phenotypes. These findings underscore the promise of using connectomics as a future biomarker in this patient population. |
topic |
Functional connectivity Neuro-oncology Connectome Glioma Network theory Hubs |
url |
http://www.sciencedirect.com/science/article/pii/S2213158217300074 |
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