Global Functional Disconnections in Post-anoxic Coma Patient

Author:

Achard S.1,Kremer S.2,Schenck M.3,Renard F.4,Ong-Nicolas C.2,Namer J. I.5,Mutschler V.6,Schneider F.3,Delon-Martin C.78

Affiliation:

1. Grenoble Image Parole Signal Automatique, Centre National de la Recherche Scientifique; Grenoble, France

2. Service de Radiologie 2, Hôpital de Hautepierre, CHU de Strasbourg, LINC, Université de Strasbourg; Strasbourg, France

3. Service de Réanimation Médicale, Hôpital de Hautepierre, CHU de Strasbourg, Université de Strasbourg; Strasbourg, France

4. Laboratoire des Sciences de l'Images, de l'Informatique et de la Télédétection, Université de Strasbourg; Strasbourg, France

5. Service de Médecine Nucléaire, CHU de Strasbourg, LINC, Université de Strasbourg; Strasbourg, France

6. Service de Neurologie, CHU de Strasbourg, Université de Strasbourg; Strasbourg, France

7. Inserm, U836, Neuroimagerie fonctionnelle et métabolique; Grenoble, F-38043 France

8. Université Joseph Fourier; Grenoble, F-38043 France

Abstract

Disorders of consciousness have been related to different disconnection patterns as assessed by neuroimaging tools such as PET or fMRI. In this report, we use resting-state functional MRI acquisition and a functional connectivity analysis by graph of brain networks, to investigate the global residual connection pattern in a patient with consciousness disorders following post-anoxic injury. We then compare this pattern with those of a group of twenty controls. We observed that the patient's graph presents multiple disconnections in primary areas and in high-order associative areas. This pattern is consistent with a vegetative state, as reported by other groups. Further, the informations conveyed by this approach are consistent with those provided by PET, fMRI and EP. This new approach presents a very strong potential for diagnosis for consciousness disorder patients since it is applicable very early after the insult.

Publisher

SAGE Publications

Subject

Clinical Neurology,Radiology Nuclear Medicine and imaging,General Medicine

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