Feasibility of Non-Gaussian Diffusion Metrics in Chronic Disorders of Consciousness
Elena I. Kremneva 1,*
, Liudmila A. Legostaeva 1, Sofya N. Morozova 1, Dmitry V. Sergeev 1, Dmitry O. Sinitsyn 1, Elizaveta G. Iazeva 1, Aleksandr S. Suslin 1, Natalia A. Suponeva 1, Marina V. Krotenkova 1, Michael A. Piradov 1 and Ivan I. Maximov 2,3,*
, Liudmila A. Legostaeva 1, Sofya N. Morozova 1, Dmitry V. Sergeev 1, Dmitry O. Sinitsyn 1, Elizaveta G. Iazeva 1, Aleksandr S. Suslin 1, Natalia A. Suponeva 1, Marina V. Krotenkova 1, Michael A. Piradov 1 and Ivan I. Maximov 2,3,*
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)
Abstract
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-TextKeywords:
diffusion MRI; DKI; chronic disorders of consciousness; unresponsive wakefulness syndrome; vegetative state; minimally conscious state
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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.
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