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Oscillatory default mode network coupling in concussion

View ORCID ProfileB.T Dunkley, K. Urban, L. Da Costa, S. Wong, E.W. Pang, M.J. Taylor
doi: https://doi.org/10.1101/140368
B.T Dunkley
1Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Canada
2Neurosciences & Mental Health Program, The Hospital for Sick Children Research Institute, Toronto, Canada
3Department of Medical Imaging, University of Toronto, Toronto, Canada
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  • ORCID record for B.T Dunkley
K. Urban
4Holland-Bloorview Hospital, Toronto, Canada
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L. Da Costa
5Division of Neurosurgery, Sunnybrook Hospital, Toronto, Canada
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S. Wong
1Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Canada
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E.W. Pang
2Neurosciences & Mental Health Program, The Hospital for Sick Children Research Institute, Toronto, Canada
6Division of Neurology, The Hospital for Sick Children, Toronto, Canada
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M.J. Taylor
1Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Canada
2Neurosciences & Mental Health Program, The Hospital for Sick Children Research Institute, Toronto, Canada
7Department of Psychology, University of Toronto, Toronto, Canada
8Department of Medical Imaging, University of Toronto, Toronto
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Abstract

Background Concussion is a common form of mild traumatic brain injury (mTBI). Despite the descriptor ‘mild’, a single injury can leave long-lasting and sustained alterations to brain function, including changes to localised activity and large-scale interregional communication. Cognitive complaints are thought to arise from such functional deficits. We investigated the impact of injury on neurophysiological and functionally-specialised resting networks, known as intrinsic connectivity networks (ICNs), using MEG.

Methods We assessed neurophysiological connectivity in 40 males, 20 with concussion, 20 without, using MEG. Regions-of-interest that comprise nodes of ICNs were defined, and their time courses derived using a beamformer approach. Pairwise fluctuations and covariations in band-limited amplitude envelopes were computed reflecting measures of functional connectivity. Intra-network connectivity was compared between groups using permutation testing, and correlated with symptoms.

Results We observed increased resting spectral connectivity in the default mode and motor networks in our concussion group when compared with controls, across alpha through gamma ranges. Moreover, these differences were not explained by power spectrum density (absolute changes in the spectral profiles within the ICNs). Furthermore, this increased coupling was significantly associated with symptoms in the DMN and MOT networks – but once accounting for comorbid symptoms (including, depression, anxiety, and ADHD) only the DMN continued to be associated with symptoms.

Conclusion The DMN network plays a critical role in shifting between cognitive tasks. These data suggest even a single concussion can perturb the intrinsic coupling of functionally-specialised networks in the brain and may explain persistent and wide-ranging symptomatology.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted May 20, 2017.
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Oscillatory default mode network coupling in concussion
B.T Dunkley, K. Urban, L. Da Costa, S. Wong, E.W. Pang, M.J. Taylor
bioRxiv 140368; doi: https://doi.org/10.1101/140368
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Oscillatory default mode network coupling in concussion
B.T Dunkley, K. Urban, L. Da Costa, S. Wong, E.W. Pang, M.J. Taylor
bioRxiv 140368; doi: https://doi.org/10.1101/140368

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