D D Reddy1, E M Davenport2, F F Yu2, B Wagner2, J E Urban3, C T Whitlow3, J D Stitzel3, J A Maldjian1. 1. From the Department of Radiology (D.D.R., E.M.D., F.F.Y., B.W., J.A.M.), University of Texas Southwestern, Dallas, Texas divya.reddy@utsouthwestern.edu. 2. From the Department of Radiology (D.D.R., E.M.D., F.F.Y., B.W., J.A.M.), University of Texas Southwestern, Dallas, Texas. 3. Wake Forest School of Medicine (J.E.U. C.T.W., J.D.S.), Winston-Salem, North Carolina.
Abstract
BACKGROUND AND PURPOSE: Magnetoencephalography is sensitive to functional connectivity changes associated with concussion. However, the directional influences between functionally related regions remain unexplored. In this study, we therefore evaluated concussion-related magnetoencephalography-based effective connectivity changes within resting-state default mode network regions. MATERIALS AND METHODS: Resting-state magnetoencephalography was acquired for 8 high school football players with concussion at 3 time points (preseason, postconcussion, postseason), as well as 8 high school football players without concussion and 8 age-matched controls at 2 time points (preseason, postseason). Time-series from the default mode network regions were extracted, and effective connectivity between them was computed for 5 different frequency bands. The default mode network regions were grouped into anterior and posterior default mode networks. The combined posterior-to-anterior and anterior-to-posterior effective connectivity values were averaged to generate 2 sets of values for each subject. The effective connectivity values were compared using a repeated measures ANOVA across time points for the concussed, nonconcussed, and control groups, separately. RESULTS: A significant increase in posterior-to-anterior effective connectivity from preseason to postconcussion (corrected P value = .013) and a significant decrease in posterior-to-anterior effective connectivity from postconcussion to postseason (corrected P value = .028) were observed in the concussed group. Changes in effective connectivity were only significant within the delta band. Anterior-to-posterior connectivity demonstrated no significant change. Effective connectivity in the nonconcussed group and controls did not show significant differences. CONCLUSIONS: The unidirectional increase in effective connectivity postconcussion may elucidate compensatory processes, invoking use of posterior regions to aid the function of susceptible anterior regions following brain injury. These findings support the potential value of magnetoencephalography in exploring directional changes of the brain network following concussion.
BACKGROUND AND PURPOSE: Magnetoencephalography is sensitive to functional connectivity changes associated with concussion. However, the directional influences between functionally related regions remain unexplored. In this study, we therefore evaluated concussion-related magnetoencephalography-based effective connectivity changes within resting-state default mode network regions. MATERIALS AND METHODS: Resting-state magnetoencephalography was acquired for 8 high school football players with concussion at 3 time points (preseason, postconcussion, postseason), as well as 8 high school football players without concussion and 8 age-matched controls at 2 time points (preseason, postseason). Time-series from the default mode network regions were extracted, and effective connectivity between them was computed for 5 different frequency bands. The default mode network regions were grouped into anterior and posterior default mode networks. The combined posterior-to-anterior and anterior-to-posterior effective connectivity values were averaged to generate 2 sets of values for each subject. The effective connectivity values were compared using a repeated measures ANOVA across time points for the concussed, nonconcussed, and control groups, separately. RESULTS: A significant increase in posterior-to-anterior effective connectivity from preseason to postconcussion (corrected P value = .013) and a significant decrease in posterior-to-anterior effective connectivity from postconcussion to postseason (corrected P value = .028) were observed in the concussed group. Changes in effective connectivity were only significant within the delta band. Anterior-to-posterior connectivity demonstrated no significant change. Effective connectivity in the nonconcussed group and controls did not show significant differences. CONCLUSIONS: The unidirectional increase in effective connectivity postconcussion may elucidate compensatory processes, invoking use of posterior regions to aid the function of susceptible anterior regions following brain injury. These findings support the potential value of magnetoencephalography in exploring directional changes of the brain network following concussion.
Authors: Mattia F Pagnotta; Xianghong Arakaki; Thao Tran; David Strickland; Michael Harrington; George Zouridakis Journal: Conf Proc IEEE Eng Med Biol Soc Date: 2015
Authors: Rahul S Desikan; Florent Ségonne; Bruce Fischl; Brian T Quinn; Bradford C Dickerson; Deborah Blacker; Randy L Buckner; Anders M Dale; R Paul Maguire; Bradley T Hyman; Marilyn S Albert; Ronald J Killiany Journal: Neuroimage Date: 2006-03-10 Impact factor: 6.556
Authors: Jillian E Urban; Elizabeth M Davenport; Adam J Golman; Joseph A Maldjian; Christopher T Whitlow; Alexander K Powers; Joel D Stitzel Journal: Ann Biomed Eng Date: 2013-07-18 Impact factor: 3.934
Authors: Phiroz E Tarapore; Anne M Findlay; Sara C Lahue; Hana Lee; Susanne M Honma; Danielle Mizuiri; Tracy L Luks; Geoffrey T Manley; Srikantan S Nagarajan; Pratik Mukherjee Journal: J Neurosurg Date: 2013-04-19 Impact factor: 5.115
Authors: B T Dunkley; L Da Costa; A Bethune; R Jetly; E W Pang; M J Taylor; S M Doesburg Journal: Neuroimage Clin Date: 2015-03-03 Impact factor: 4.881
Authors: Ming-Xiong Huang; Sharon Nichols; Dewleen G Baker; Ashley Robb; Annemarie Angeles; Kate A Yurgil; Angela Drake; Michael Levy; Tao Song; Robert McLay; Rebecca J Theilmann; Mithun Diwakar; Victoria B Risbrough; Zhengwei Ji; Charles W Huang; Douglas G Chang; Deborah L Harrington; Laura Muzzatti; Jose M Canive; J Christopher Edgar; Yu-Han Chen; Roland R Lee Journal: Neuroimage Clin Date: 2014-06-16 Impact factor: 4.881
Authors: Stavros I Dimitriadis; George Zouridakis; Roozbeh Rezaie; Abbas Babajani-Feremi; Andrew C Papanicolaou Journal: Neuroimage Clin Date: 2015-09-21 Impact factor: 4.881
Authors: Benjamin T Dunkley; Karolina Urban; Leodante Da Costa; Simeon M Wong; Elizabeth W Pang; Margot J Taylor Journal: Front Neurol Date: 2018-04-26 Impact factor: 4.003