0046
Alterations in Network Connectivity Within Special Forces Military Personnel: A Combined Resting-FMRI and DTI Study
Allen A Champagne1, Nicole S Coverdale2, Andrew Ross3, Christopher I Murray3, Isabelle Vallee4, and Douglas J Cook5
1School of Medicine, Queen's University, Kingston, ON, Canada, 2Center for Neuroscience Studies, Queen's University, Kingston, ON, Canada, 3Performance Phenomics, Toronto, ON, Canada, 4National Defence Headquarters, Ottawa, ON, Canada, 5Department of Surgery, Queen’s University, Kingston, ON, Canada
Alterations in structural integrity of fibers directly connecting functional networks may suggest potential compensatory relationship between axonal injury and neural recruitment following repetitive head trauma from high-exposure military duties.
Figure 3. Statistical results from the voxelwise analysis of long-range FCS showing two clusters ((a); CANSOFFCS = 0.85 ± 0.17, CTLFCS = 1.22 ± 0.32; P < 0.0001) and ((c); CANSOFFCS = 2.06 ± 0.45, CTLFCS = 1.56 ± 0.28; P = 0.0010). The data-driven reconstruction of associated white-matter network for each clusters (a,b) and (c,d) are shown respectively. CTLs = controls, CANSOF= Canadian special operations forces command, FCS = functional connectivity strength, ROI = region of interest, WM = white matter
Figure 4. Statistical results from the voxelwise analysis of the white-matter network associated with the long-range functional connectivity cluster in Fig. 3c,d (CANSOFMD = 10.00 ± 2.13, CTLMD = 7.43 ± 0.67; P < 0.0001). CTLs = controls, CANSOF= Canadian special operations forces command