Objective: To investigate functional connectivity between the default mode network (DMN) and other networks in disorders of consciousness. Methods: We analyzedMRI data from 11 patients in a vegetative state and 7 patients in a minimally conscious state along with age- And sex-matched healthy control subjects. MRI data analysis included nonlinear spatial normalization to compensate for disease-related anatomical distortions. We studied brain connectivity data from resting-state MRI temporal series, combining noninferential (independent component analysis) and inferential (seed-based general linear model) methods. Results: In DMN hypoconnectivity conditions, a patient's DMN functional connectivity shifts and paradoxically increases in limbic structures, including the orbitofrontal cortex, insula, hypothalamus, and the ventral tegmental area. Conclusions: Concurrently with DMN hypoconnectivity, we report limbic hyperconnectivity in patients in vegetative and minimally conscious states. This hyperconnectivity may reflect the persistent engagement of residual neural activity in self-reinforcing neural loops, which, in turn, could disrupt normal patterns of connectivity. © 2013 American Academy of Neurology.

Limbic hyperconnectivity in the vegetative state / C. Di Perri, S. Bastianello, A.J. Bartsch, C. Pistarini, G. Maggioni, L. Magrassi, R. Imberti, A. Pichiecchio, P. Vitali, S. Laureys, F. Di Salle. - In: NEUROLOGY. - ISSN 0028-3878. - 81:16(2013 Sep 15), pp. 1417-1424. [10.1212/WNL.0b013e3182a43b78]

Limbic hyperconnectivity in the vegetative state

P. Vitali;
2013

Abstract

Objective: To investigate functional connectivity between the default mode network (DMN) and other networks in disorders of consciousness. Methods: We analyzedMRI data from 11 patients in a vegetative state and 7 patients in a minimally conscious state along with age- And sex-matched healthy control subjects. MRI data analysis included nonlinear spatial normalization to compensate for disease-related anatomical distortions. We studied brain connectivity data from resting-state MRI temporal series, combining noninferential (independent component analysis) and inferential (seed-based general linear model) methods. Results: In DMN hypoconnectivity conditions, a patient's DMN functional connectivity shifts and paradoxically increases in limbic structures, including the orbitofrontal cortex, insula, hypothalamus, and the ventral tegmental area. Conclusions: Concurrently with DMN hypoconnectivity, we report limbic hyperconnectivity in patients in vegetative and minimally conscious states. This hyperconnectivity may reflect the persistent engagement of residual neural activity in self-reinforcing neural loops, which, in turn, could disrupt normal patterns of connectivity. © 2013 American Academy of Neurology.
Settore MED/37 - Neuroradiologia
15-set-2013
18-set-2013
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/912749
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