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Open AccessArticle

Feasibility of Non-Gaussian Diffusion Metrics in Chronic Disorders of Consciousness

1
Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia
2
Department of Psychology, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway
3
Norwegian Centre for Mental Disorders Research (NORMENT), Norway and Institute of Clinical Medicine, University of Oslo, Oslo Universitetssykehus Bygg 48 Ullevål, 0317 Oslo, Norway
*
Authors to whom correspondence should be addressed.
Brain Sci. 2019, 9(5), 123; https://doi.org/10.3390/brainsci9050123
Received: 23 April 2019 / Revised: 23 May 2019 / Accepted: 23 May 2019 / Published: 27 May 2019
(This article belongs to the Section Neuroimaging)
Diagnostic accuracy of different chronic disorders of consciousness (DOC) can be affected by the false negative errors in up to 40% cases. In the present study, we aimed to investigate the feasibility of a non-Gaussian diffusion approach in chronic DOC and to estimate a sensitivity of diffusion kurtosis imaging (DKI) metrics for the differentiation of vegetative state/unresponsive wakefulness syndrome (VS/UWS) and minimally conscious state (MCS) from a healthy brain state. We acquired diffusion MRI data from 18 patients in chronic DOC (11 VS/UWS, 7 MCS) and 14 healthy controls. A quantitative comparison of the diffusion metrics for grey (GM) and white (WM) matter between the controls and patient group showed a significant (p < 0.05) difference in supratentorial WM and GM for all evaluated diffusion metrics, as well as for brainstem, corpus callosum, and thalamus. An intra-subject VS/UWS and MCS group comparison showed only kurtosis metrics and fractional anisotropy differences using tract-based spatial statistics, owing mainly to macrostructural differences on most severely lesioned hemispheres. As a result, we demonstrated an ability of DKI metrics to localise and detect changes in both WM and GM and showed their capability in order to distinguish patients with a different level of consciousness. View Full-Text
Keywords: diffusion MRI; DKI; chronic disorders of consciousness; unresponsive wakefulness syndrome; vegetative state; minimally conscious state diffusion MRI; DKI; chronic disorders of consciousness; unresponsive wakefulness syndrome; vegetative state; minimally conscious state
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MDPI and ACS Style

Kremneva, E.I.; Legostaeva, L.A.; Morozova, S.N.; Sergeev, D.V.; Sinitsyn, D.O.; Iazeva, E.G.; Suslin, A.S.; Suponeva, N.A.; Krotenkova, M.V.; Piradov, M.A.; Maximov, I.I. Feasibility of Non-Gaussian Diffusion Metrics in Chronic Disorders of Consciousness. Brain Sci. 2019, 9, 123. https://doi.org/10.3390/brainsci9050123

AMA Style

Kremneva EI, Legostaeva LA, Morozova SN, Sergeev DV, Sinitsyn DO, Iazeva EG, Suslin AS, Suponeva NA, Krotenkova MV, Piradov MA, Maximov II. Feasibility of Non-Gaussian Diffusion Metrics in Chronic Disorders of Consciousness. Brain Sciences. 2019; 9(5):123. https://doi.org/10.3390/brainsci9050123

Chicago/Turabian Style

Kremneva, Elena I.; Legostaeva, Liudmila A.; Morozova, Sofya N.; Sergeev, Dmitry V.; Sinitsyn, Dmitry O.; Iazeva, Elizaveta G.; Suslin, Aleksandr S.; Suponeva, Natalia A.; Krotenkova, Marina V.; Piradov, Michael A.; Maximov, Ivan I. 2019. "Feasibility of Non-Gaussian Diffusion Metrics in Chronic Disorders of Consciousness" Brain Sci. 9, no. 5: 123. https://doi.org/10.3390/brainsci9050123

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