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Proceedings Paper

Thalamic volume as a biomarker for disorders of consciousness
Author(s): Mathieu Rubeaux; Jamuna Jayashri Mahalingam; Francisco Gomez; Marvin Nelson; Audrey Vanhaudenhuyse; Marie-Aurélie Bruno; Olivia Gosseries; Steven Laureys; Andrea Soddu; Natasha Lepore
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Paper Abstract

Disorders of consciousness (DOC) may be characterized by the degree at which consciousness is impaired, and include for example vegetative state (VS) and minimally conscious state (MCS) patients. Using a reliable marker as a measure of the level of consciousness in such patients is of utmost necessity and importance for their appropriate diagnosis and prognosis. Identification of VS and MCS states based on their behaviors sometimes leads to incorrect inferences due to the influence of a range of factors like motor impairment, fluctuating arousal levels and rapidly habituating responses to name a few.1 The extent of damage in the thalamus, a structure known for its role in arousal regulation, may provide an imaging biomarker to better differentiate between VS and MCS. In this study, we manually segmented the thalamus from T1-weighted brain MRI images in a large cohort of 19 VS and 23 MCS subjects that were examined using the French version of the Coma Recovery Scale Revised (CRS-R).2 This scale is the most trustworthy behavioural diagnosis tool3 for patients with DOC available. The aim was to determine whether a relationship between thalamus volume and consciousness level exists. Results show that total thalamic volume tends to decrease over time after a severe brain injury. Moreover, for subjects in chronic state, the thalamic volume seems to differ with respect to the degree of consciousness that was diagnosed. Finally, for these same chronic patients, the total thalamic volume is varying linearly as a function of the CRS-R score obtained, indicating that thalamic volume may be used as a biomarker to measure the level of consciousness.

Paper Details

Date Published: 29 January 2015
PDF: 6 pages
Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 92870R (29 January 2015); doi: 10.1117/12.2071146
Show Author Affiliations
Mathieu Rubeaux, Children's Hospital Los Angeles (United States)
Jamuna Jayashri Mahalingam, Children's Hospital Los Angeles (United States)
Francisco Gomez, Univ. Central de Colombia (Colombia)
Marvin Nelson, Children's Hospital Los Angeles (United States)
Audrey Vanhaudenhuyse, Univ. de Liège (Belgium)
Marie-Aurélie Bruno, Univ. de Liège (Belgium)
Olivia Gosseries, Univ. de Liège (Belgium)
Steven Laureys, Univ. de Liège (Belgium)
Andrea Soddu, Western Univ. (Canada)
Natasha Lepore, Children's Hospital Los Angeles (United States)


Published in SPIE Proceedings Vol. 9287:
10th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore, Editor(s)

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