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Change of Brain Functional Connectivity in Patients With Spinal Cord Injury: Graph Theory Based Approach.

Min YS, Chang Y, Park JW, Lee JM, Cha J, Yang JJ, Kim CH, Hwang JM, Yoo JN, Jung TD - Ann Rehabil Med (2015)

Bottom Line: Clustering coefficient, global efficiency and small-worldness did not show any difference between controls and SCIs in all density ranges.These findings imply that patients with SCI can build on preserved competent brain control.Further analyses, such as topological rearrangement and hub region identification, will be needed for better understanding of neuroplasticity in patients with SCI.

View Article: PubMed Central - PubMed

Affiliation: Department of Rehabilitation Medicine, Kyungpook National University Hospital, Daegu, Korea.

ABSTRACT

Objective: To investigate the global functional reorganization of the brain following spinal cord injury with graph theory based approach by creating whole brain functional connectivity networks from resting state-functional magnetic resonance imaging (rs-fMRI), characterizing the reorganization of these networks using graph theoretical metrics and to compare these metrics between patients with spinal cord injury (SCI) and age-matched controls.

Methods: Twenty patients with incomplete cervical SCI (14 males, 6 females; age, 55±14.1 years) and 20 healthy subjects (10 males, 10 females; age, 52.9±13.6 years) participated in this study. To analyze the characteristics of the whole brain network constructed with functional connectivity using rs-fMRI, graph theoretical measures were calculated including clustering coefficient, characteristic path length, global efficiency and small-worldness.

Results: Clustering coefficient, global efficiency and small-worldness did not show any difference between controls and SCIs in all density ranges. The normalized characteristic path length to random network was higher in SCI patients than in controls and reached statistical significance at 12%-13% of density (p<0.05, uncorrected).

Conclusion: The graph theoretical approach in brain functional connectivity might be helpful to reveal the information processing after SCI. These findings imply that patients with SCI can build on preserved competent brain control. Further analyses, such as topological rearrangement and hub region identification, will be needed for better understanding of neuroplasticity in patients with SCI.

No MeSH data available.


Related in: MedlinePlus

Results of small-worldness in the controls and the spinal cord injuries (SCIs). Small-worldness of the network in the controls and the SCIs exceeded 1 throughout the range, indicating the small-worldness characteristic in brain functional networks. Green line denotes the controls and the red line denotes the SCIs.
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Figure 5: Results of small-worldness in the controls and the spinal cord injuries (SCIs). Small-worldness of the network in the controls and the SCIs exceeded 1 throughout the range, indicating the small-worldness characteristic in brain functional networks. Green line denotes the controls and the red line denotes the SCIs.

Mentions: Small-worldness of the network in controls and SCIs exceeded 1 at all densities, indicating that each network had small-world characteristics (Fig. 5).


Change of Brain Functional Connectivity in Patients With Spinal Cord Injury: Graph Theory Based Approach.

Min YS, Chang Y, Park JW, Lee JM, Cha J, Yang JJ, Kim CH, Hwang JM, Yoo JN, Jung TD - Ann Rehabil Med (2015)

Results of small-worldness in the controls and the spinal cord injuries (SCIs). Small-worldness of the network in the controls and the SCIs exceeded 1 throughout the range, indicating the small-worldness characteristic in brain functional networks. Green line denotes the controls and the red line denotes the SCIs.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4496508&req=5

Figure 5: Results of small-worldness in the controls and the spinal cord injuries (SCIs). Small-worldness of the network in the controls and the SCIs exceeded 1 throughout the range, indicating the small-worldness characteristic in brain functional networks. Green line denotes the controls and the red line denotes the SCIs.
Mentions: Small-worldness of the network in controls and SCIs exceeded 1 at all densities, indicating that each network had small-world characteristics (Fig. 5).

Bottom Line: Clustering coefficient, global efficiency and small-worldness did not show any difference between controls and SCIs in all density ranges.These findings imply that patients with SCI can build on preserved competent brain control.Further analyses, such as topological rearrangement and hub region identification, will be needed for better understanding of neuroplasticity in patients with SCI.

View Article: PubMed Central - PubMed

Affiliation: Department of Rehabilitation Medicine, Kyungpook National University Hospital, Daegu, Korea.

ABSTRACT

Objective: To investigate the global functional reorganization of the brain following spinal cord injury with graph theory based approach by creating whole brain functional connectivity networks from resting state-functional magnetic resonance imaging (rs-fMRI), characterizing the reorganization of these networks using graph theoretical metrics and to compare these metrics between patients with spinal cord injury (SCI) and age-matched controls.

Methods: Twenty patients with incomplete cervical SCI (14 males, 6 females; age, 55±14.1 years) and 20 healthy subjects (10 males, 10 females; age, 52.9±13.6 years) participated in this study. To analyze the characteristics of the whole brain network constructed with functional connectivity using rs-fMRI, graph theoretical measures were calculated including clustering coefficient, characteristic path length, global efficiency and small-worldness.

Results: Clustering coefficient, global efficiency and small-worldness did not show any difference between controls and SCIs in all density ranges. The normalized characteristic path length to random network was higher in SCI patients than in controls and reached statistical significance at 12%-13% of density (p<0.05, uncorrected).

Conclusion: The graph theoretical approach in brain functional connectivity might be helpful to reveal the information processing after SCI. These findings imply that patients with SCI can build on preserved competent brain control. Further analyses, such as topological rearrangement and hub region identification, will be needed for better understanding of neuroplasticity in patients with SCI.

No MeSH data available.


Related in: MedlinePlus