- Poster presentation
- Open Access
Disruption of transfer entropy and inter-hemispheric brain functional connectivity in patients with disorder of consciousness
© Mäki-Marttunen et al; licensee BioMed Central Ltd. 2013
Published: 8 July 2013
Recent studies suggest that the functional organization of brain networks is altered in patients with severe disorders of consciousness (DOC), including coma . A better characterization of these large-scale disturbances of brain function is fundamental for the understanding and eventual prediction of coma outcome. In this study we apply information theory tools and correlation measures to explore the brain functional connectivity (FC) in functional magnetic resonance imaging (fMRI) data from patients with DOC. In particular we are interested in the functional coherence within and between brain hemispheres as a measure of the integrity of brain function. The data analyzed comprises resting state fMRI data from 5 patients with traumatic DOC in two sessions, one early after the traumatic event and the second later in a stable clinical phase spanning several months. As a control we used similar data obtained from 17 healthy subjects. FC was assessed among time series of the blood oxygenated level dependent (BOLD) signal from 90 regions of interest (ROI) obtained using the Automated Anatomical Labelling (AAL) atlas . These time series were used to estimate FC using two approaches: Partial Linear Correlation (PLC) and Transfer Entropy (TE) .
- Cauda F, Micon BM, Sacco K, Duca S, D'Agata F, Geminiani G, Canavero S: Disrupted intrinsic functional connectivity in the vegetative state. J Neurol Neurosurg Psychiatry. 2009, 80 (4): 429-431.View ArticlePubMedGoogle Scholar
- Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, Mazoyer B, Joliot M: Automated Anatomical Labeling of activations in SPM using a Macroscopic Anatomical Parcellation of the MNI MRI single-subject brain. Neuroimage. 2002, 15 (1): 273-289. 10.1006/nimg.2001.0978.View ArticlePubMedGoogle Scholar
- Schreiber T: Measuring Information Transfer. Phys Rev Lett. 2000, 85 (2): 461-464. 10.1103/PhysRevLett.85.461.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.