DocumentCode
1793436
Title
Measurement of axonal fiber connectivity in consciousness evaluation
Author
Leisman, Gerry ; Rodriguez Rojas, Rafael ; Batista, Karla ; Carballo, Maylen ; Morales, Juan M. ; Iturria, Yasser ; Machado, Calixto
Author_Institution
O.R.T.-Braude Coll. of Eng., Karmiel, Israel
fYear
2014
fDate
3-5 Dec. 2014
Firstpage
1
Lastpage
5
Abstract
Background: Persistent vegetative states (PVS) and locked-in syndrome (LIS) are well-differentiated disorders of consciousness that can be reached after a localized brain injury in the brainstem. The relations of the lesion topography with the impairment in the whole-brain architecture and functional disconnections are poorly understood. Methods: Two patients (PVS and LIS) and 20 age-matched healthy volunteers were evaluated using diffusion tensor imaging (DTI). Anatomical network was modeled as a graph whose nodes are represented by 71 brain regions. Inter-region connections were quantified through Anatomical Connection Strength (ACS) and Density (ACD). Complex networks properties such as local and global efficiency and vulnerability were studied. Mass univariate testing was performed at every connection using network based statistic approach. Results: LIS patients´ network showed significant differences from controls in the brainstem-thalamus-frontal cortex circuitry, while PVS patients showed a widespread disruption of anatomical connectivity in both hemispheres. Both patients showed a reorganization of network attributes, with decreased global and local efficiency, significantly more pronounced in PVS.
Keywords
biodiffusion; biomedical MRI; brain; injuries; medical disorders; statistical analysis; ACD; ACS; DTI; LIS patient network; PVS patients; anatomical connection density; anatomical connection strength; axonal fiber connectivity measurement; brainstem-thalamus-frontal cortex circuitry; consciousness evaluation; diffusion tensor imaging; global efficiency; lesion topography; localized brain injury; locked-in syndrome; mass univariate testing; network-based statistic approach; persistent vegetative states; whole-brain architecture; Diffusion tensor imaging; Graph theory; Lesions; Optical fiber networks; Optical fiber theory; Standards; Persistent vegetative state; consciousness; diffusion tensor imaging; functional disconnection; graph theory; locked-in syndrome;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical & Electronics Engineers in Israel (IEEEI), 2014 IEEE 28th Convention of
Conference_Location
Eilat
Print_ISBN
978-1-4799-5987-7
Type
conf
DOI
10.1109/EEEI.2014.7005846
Filename
7005846
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