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Resting-state fMRI reveals network disintegration during delirium

Delirium is characterized by inattention and other cognitive deficits, symptoms that have been associated with disturbed interactions between remote brain regions. Recent EEG studies confirm that disturbed global network topology may underlie the syndrome, but lack an anatomical basis. The aim of th...

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Autores principales: van Montfort, Simone J.T., van Dellen, Edwin, van den Bosch, Aletta M.R., Otte, Willem M., Schutte, Maya J.L., Choi, Soo-Hee, Chung, Tae-Sub, Kyeong, Sunghyon, Slooter, Arjen J.C., Kim, Jae-Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6037687/
https://www.ncbi.nlm.nih.gov/pubmed/29998059
http://dx.doi.org/10.1016/j.nicl.2018.06.024
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author van Montfort, Simone J.T.
van Dellen, Edwin
van den Bosch, Aletta M.R.
Otte, Willem M.
Schutte, Maya J.L.
Choi, Soo-Hee
Chung, Tae-Sub
Kyeong, Sunghyon
Slooter, Arjen J.C.
Kim, Jae-Jin
author_facet van Montfort, Simone J.T.
van Dellen, Edwin
van den Bosch, Aletta M.R.
Otte, Willem M.
Schutte, Maya J.L.
Choi, Soo-Hee
Chung, Tae-Sub
Kyeong, Sunghyon
Slooter, Arjen J.C.
Kim, Jae-Jin
author_sort van Montfort, Simone J.T.
collection PubMed
description Delirium is characterized by inattention and other cognitive deficits, symptoms that have been associated with disturbed interactions between remote brain regions. Recent EEG studies confirm that disturbed global network topology may underlie the syndrome, but lack an anatomical basis. The aim of this study was to increase our understanding of the global organization of functional connectivity during delirium and to localize possible alterations. Resting-state fMRI data from 44 subjects were analyzed, and motion-free data were available in nine delirious patients, seven post delirium patients and thirteen non-delirious clinical controls. We focused on the functional network backbones using the minimum spanning tree, which allows unbiased network comparisons. During delirium a longer diameter (mean (M) = 0.30, standard deviation (SD) = 0.05, P = .024) and a lower leaf fraction (M = 0.32, SD = 0.03, P = .027) was found compared to the control group (M = 0.28, SD = 0.04 respectively M = 0.35, SD = 0.03), suggesting reduced functional network integration and efficiency. Delirium duration was strongly related to loss of network hierarchy (rho = −0.92, P = .001). Connectivity strength was decreased in the post delirium group (M = 0.16, SD = 0.01) compared to the delirium group (M = 0.17, SD = 0.03, P = .024) and the control group (M = 0.19, SD = 0.02, P = .001). Permutation tests revealed a decreased degree of the right posterior cingulate cortex during delirium and complex regional alterations after delirium. These findings indicate that delirium reflects disintegration of functional interactions between remote brain areas and suggest long-term impact after the syndrome resolves.
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spelling pubmed-60376872018-07-11 Resting-state fMRI reveals network disintegration during delirium van Montfort, Simone J.T. van Dellen, Edwin van den Bosch, Aletta M.R. Otte, Willem M. Schutte, Maya J.L. Choi, Soo-Hee Chung, Tae-Sub Kyeong, Sunghyon Slooter, Arjen J.C. Kim, Jae-Jin Neuroimage Clin Regular Article Delirium is characterized by inattention and other cognitive deficits, symptoms that have been associated with disturbed interactions between remote brain regions. Recent EEG studies confirm that disturbed global network topology may underlie the syndrome, but lack an anatomical basis. The aim of this study was to increase our understanding of the global organization of functional connectivity during delirium and to localize possible alterations. Resting-state fMRI data from 44 subjects were analyzed, and motion-free data were available in nine delirious patients, seven post delirium patients and thirteen non-delirious clinical controls. We focused on the functional network backbones using the minimum spanning tree, which allows unbiased network comparisons. During delirium a longer diameter (mean (M) = 0.30, standard deviation (SD) = 0.05, P = .024) and a lower leaf fraction (M = 0.32, SD = 0.03, P = .027) was found compared to the control group (M = 0.28, SD = 0.04 respectively M = 0.35, SD = 0.03), suggesting reduced functional network integration and efficiency. Delirium duration was strongly related to loss of network hierarchy (rho = −0.92, P = .001). Connectivity strength was decreased in the post delirium group (M = 0.16, SD = 0.01) compared to the delirium group (M = 0.17, SD = 0.03, P = .024) and the control group (M = 0.19, SD = 0.02, P = .001). Permutation tests revealed a decreased degree of the right posterior cingulate cortex during delirium and complex regional alterations after delirium. These findings indicate that delirium reflects disintegration of functional interactions between remote brain areas and suggest long-term impact after the syndrome resolves. Elsevier 2018-06-19 /pmc/articles/PMC6037687/ /pubmed/29998059 http://dx.doi.org/10.1016/j.nicl.2018.06.024 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
van Montfort, Simone J.T.
van Dellen, Edwin
van den Bosch, Aletta M.R.
Otte, Willem M.
Schutte, Maya J.L.
Choi, Soo-Hee
Chung, Tae-Sub
Kyeong, Sunghyon
Slooter, Arjen J.C.
Kim, Jae-Jin
Resting-state fMRI reveals network disintegration during delirium
title Resting-state fMRI reveals network disintegration during delirium
title_full Resting-state fMRI reveals network disintegration during delirium
title_fullStr Resting-state fMRI reveals network disintegration during delirium
title_full_unstemmed Resting-state fMRI reveals network disintegration during delirium
title_short Resting-state fMRI reveals network disintegration during delirium
title_sort resting-state fmri reveals network disintegration during delirium
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6037687/
https://www.ncbi.nlm.nih.gov/pubmed/29998059
http://dx.doi.org/10.1016/j.nicl.2018.06.024
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