Conference proceeding
A Graph Based Similarity Measure for Assessing Altered Connectivity in Traumatic Brain Injury
BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2018, PT I, v 11383, pp 189-198
01 Jan 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Traumatic brain injury (TBI) arises from disruptions in the structural connectivity of brain, which further manifests itself as alterations in the functional connectivity, eventually leading to cognitive and behavioral deficits. Although patient-specific measures quantifying the severity of disease is crucial due to the heterogeneous character of the disease, neuroimaging based measures that can assess the level of injury in TBI using structural and functional connectivity is very scarce. Taking a graph theoretical approach, we propose a measure to quantify how dissimilar a TBI patient is relative to healthy subjects using their structural and functional connectomes. Over a TBI dataset with 39 moderate-to-severe TBI patients that are examined 3, 6, and 12 months post injury, and 35 healthy controls, we demonstrate that the dissimilarity scores obtained by the proposed measure distinguish patients from controls using both modalities. We also show that the dissimilarity scores significantly correlate with post-traumatic amnesia, processing speed, and executive function among TBI patients. Our results indicate the applicability of the proposed measure in quantitatively assessing the extent of injury. The measure is applicable to structural and functional connectivity, paving the way for a joint analysis in the future.
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5 citations in Scopus
Details
- Title
- A Graph Based Similarity Measure for Assessing Altered Connectivity in Traumatic Brain Injury
- Creators
- Yusuf Osmanlioglu - Univ Penn, Dept Radiol, Ctr Biomed Image Comp & Analyt, Philadelphia, PA 19104 USAJacob A. Alappatt - University of PennsylvaniaDrew Parker - University of PennsylvaniaJunghoon Kim - City College of New YorkRagini Verma - University of Pennsylvania
- Contributors
- A Crimi (Editor)S Bakas (Editor)H Kuijf (Editor)F Keyvan (Editor)M Reyes (Editor)T VanWalsum (Editor)
- Publication Details
- BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2018, PT I, v 11383, pp 189-198
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Nature
- Number of pages
- 10
- Grant note
- R01HD089390-01A1; 1 R01 NS096606; 5R01NS092398; 5R01NS065980 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Web of Science ID
- WOS:000612997600019
- Scopus ID
- 2-s2.0-85063531074
- Other Identifier
- 991021869110204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Clinical Neurology
- Computer Science, Cybernetics
- Oncology
- Radiology, Nuclear Medicine & Medical Imaging