Cited by 13Traumatic Brain Injury ResearchFunctional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Concussion-Related Disruptions to Hub Connectivity in the Default Mode Network Are Related to Symptoms and Cognition

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Bouchard, Heather C., Higgins, Kate L., Amadon, Grace K., Laing-Young, Julia M., Maerlender, Arthur, Al‑Momani, Seima, Neta, Maital, Savage, Cary R. +1 more·2024·Journal of Neurotrauma

Published version of a preprint

Abstract

Concussions present with a myriad of symptomatic and cognitive concerns; however, the relationship between these functional disruptions and the underlying changes in the brain are not yet well understood. Hubs, or brain regions that are connected to many different functional networks, may be specifically disrupted after concussion. Given the implications in concussion research, we quantified hub disruption within the default mode network (DMN) and between the DMN and other brain networks. We collected resting-state functional magnetic resonance imaging data from collegiate student-athletes ( n = 44) at three time points: baseline (before beginning their athletic season), acute post-injury (approximately 48h after a diagnosed concussion), and recovery (after starting return-to-play progression, but before returning to contact). We used self-reported symptoms and computerized cognitive assessments collected across similar time points to link these functional connectivity changes to clinical outcomes. Concussion resulted in increased connectivity between regions within the DMN compared with baseline and recovery, and this post-injury connectivity was more positively related to symptoms and more negatively related to visual memory performance compared with baseline and recovery. Further, concussion led to decreased connectivity between DMN hubs and visual network non-hubs relative to baseline and recovery, and this post-injury connectivity was more negatively related to somatic symptoms and more positively related to visual memory performance compared with baseline and recovery. Relationships between functional connectivity, symptoms, and cognition were not significantly different at baseline versus recovery. These results highlight a unique relationship between self-reported symptoms, visual memory performance, and acute functional connectivity changes involving DMN hubs after concussion in athletes. This may provide evidence for a disrupted balance of within- and between-network communication highlighting possible network inefficiencies after concussion. These results aid in our understanding of the pathophysiological disruptions after concussion and inform our understanding of the associations between disruptions in brain connectivity and specific clinical presentations acutely post-injury.

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  • Persistent post-concussive symptoms are associated with disruptions in large-scale functional brain networks.

    “The rationale for applying TMS, and specifically iTBS, to PCS stems from converging evidence suggesting that persistent post-concussive symptoms are associated with disruptions in largescale functional brain networks.”

    From Functional MRI Guided Accelerated Intermittent Theta Burst Stimulation for Chronic Post-Concussive Syndrome: A Feasibility and Efficacy Study (2025) · cites this paper as [8]

    The Discussion and Conclusion (pages not provided) link disrupted connectivity within and between large-scale networks to cognitive and somatic symptoms after concussion. However, the study found the symptom–connectivity relationship was strongest acutely, about 48 hours after injury; it does not establish that persistent post-concussive symptoms are associated with those disruptions. The Conclusion notes that some connectivity disruptions remained after clinical recovery even when symptoms returned to baseline. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Alterations in DMN connectivity are commonly observed post-mTBI and linked to cognitive complaints.

    “Default Mode Network (DMN): Implicated in self-referential thought and introspection, alterations in DMN connectivity (often increased intra-network connectivity or altered connectivity with other networks) are commonly observed post-mTBI and linked to cognitive complaints 89 10 11 .”

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  1. Langlois JA, Rutland-Brown W, Wald MM. The epidemiology and impact of traumatic brain injury: a brief overview. J Head Trauma Rehabil 2006;21(5):375-378; doi: 10.1097/00001199-200609000- 00001. · DOI
  2. Coronado VG, Haileyesus T, Cheng TA, et al. Trends in sports-and recreation-related traumatic brain injuries treated in US emergency departments: the national electronic injury surveillance system-all injury program (NEISS-AIP) 2001-2012. J Head Trauma Rehabil 2015;30(3):185-197; doi: 10.1097/HTR.0000000000000156. · DOI
  3. Clay MB, Glover KL, Lowe DT. Epidemiology of concussion in sport: a literature review. J Chiropr Med 2013;12(4):230-251; doi: 10.1016/j.jcm.2012.11.005. · DOI
  4. Pierpoint LA, Collins C. Epidemiology of sport-related concussion. Clin Sport Med 2021;40(1):1-18; doi: 10.1016/j.csm.2020.08.013. · DOI
  5. Yang J, Comstock RD, Yi H, et al. New and recurrent concussions in high-school athletes before and after traumatic brain injury laws, 2005-2016. Am J Public Health 2017;107(12):1916-1922; doi: 10.2105/AJPH.2017.304056. · DOI
  6. Sharp DJ, Jenkins PO. Concussion is confusing us all. Pract Neurol 2015;15(3):172-186; doi: 10.1136/practneurol-2015-001087. · DOI
  7. McCrory P, Meeuwisse W, Dvořák J, et al. Consensus statement on concussion in sport-the 5th international conference on concussion in sport held in Berlin, October 2016. Br J Sports Med 2017;51(11):838-847; doi: 10.1136/bjsports-2017-097699. · DOI · Paper page
  8. Silverberg ND, Iverson GL, Arciniegas DB, et al. Expert panel survey to update the American Congress of Rehabilitation medicine definition of mild traumatic brain injury. Arch Phys Med and Rehabil 2021;102(1):76-86; doi: 10.1016/j.apmr.2020.08.022. · DOI
  9. Giza CC, Hovda DA. The new neurometabolic cascade of concussion. Neurosurgery 2014;75(Supplement 4):S24-S33; doi: 10.1227/NEU.0000000000000505. · DOI · Paper page
  10. Chong CD, Schwedt TJ. White matter damage and brain network alterations in concussed patients: a review of recent diffusion tensor imaging and resting-state functional connectivity data. Curr Pain Headache Rep 2015;19(5):12; doi: 10.1007/s11916-015-0485-0. · DOI
  11. Morelli N, Johnson NF, Kaiser K, et al. Resting state functional connectivity responses post-mild traumatic brain injury: a systematic review. Brain Injury 2021;35(11):1326-1337; doi: 10.1080/02699052.2021.1972339. · DOI · Paper page
  12. Hillary FG, Rajtmajer SM, Roman CA, et al. The rich get richer: brain injury elicits hyperconnectivity in core subnetworks. PLoS One 2014;9(8):e104021; doi: 10.1371/journal.pone.0104021. · DOI
  13. Hillary FG, Roman CA, Venkatesan U, et al. Hyperconnectivity is a fundamental response to neurological disruption. Neuropsychology 2015;29(1):59-75; doi: 10.1037/neu0000110. · DOI
  14. Hillary FG, Grafman JH. Injured brains and adaptive networks: the benefits and costs of hyperconnectivity. Trends Cogn Sci 2017;21(5):385-401; doi: 10.1016/j.tics.2017.03.003. · DOI
  15. Roy A, Bernier RA, Wang J, et al. The evolution of cost-efficiency in neural networks during recovery from traumatic brain injury. PLoS One 2017;12(4):e0170541; doi: 10.1371/journal.pone.0170541. · DOI
  16. Schultz DH, Ito T, Solomyak LI, et al. Global connectivity of the fronto-parietal cognitive control network is related to depression symptoms in the general population. Netw Neurosci 2019;3(1):107- 123; doi: 10.1162/netn_a_00056. · DOI
  17. Schultz DH, Cole MW. Integrated brain network architecture supports cognitive task performance. Neuron 2016;92(2):278-279; doi: 10.1016/j.neuron.2016.10.004. · DOI
  18. Bullmore E, Sporns O. The economy of brain network organization. Nat Rev Neurosci 2012;13(5):336-349; doi: 10.1038/nrn3214. · DOI · Paper page
  19. Warren DE, Power JD, Bruss J, et al. Network measures predict neuropsychological outcome after brain injury. Proc Natl Acad Sci USA 2014;111(39):14247-14252; doi: 10.1073/pnas.1322173111. · DOI
  20. Li F, Lu L, Chen H, et al. Disrupted brain functional hub and causal connectivity in acute mild traumatic brain injury. Aging (Albany NY) 2019;11(22):10684-10696; doi: 10.18632/aging.102484. · DOI
  21. Bai L, Yin B, Lei S, et al. Reorganized hubs of brain functional networks following acute mild traumatic brain injury. J Neurotrauma 2022;neu.2021.0450; doi: 10.1089/neu.2021.0450. · DOI
  22. Wang S, Gan S, Yang X, et al. Decoupling of structural and functional connectivity in hubs and cognitive impairment after mild traumatic brain injury. Brain Connect 2021;11(9):745-758; doi: 10.1089/brain.2020.0852. · DOI
  23. van der Horn HJ, Liemburg EJ, Scheenen ME, et al. Graph analysis of functional brain networks in patients with mild traumatic brain injury. PLoS ONE 2017;12(1):e0171031; doi: 10.1371/journal.pone.0171031. · DOI
  24. Buckner RL, Andrews-Hanna JR, Schacter DL. The brain's default network: anatomy, function, and relevance to disease. Ann N Y Acad Sci 2008;1124(1):1-38; doi: 10.1196/annals.1440.011. · DOI · Paper page
  25. Dunkley BT, Urban K, Da Costa L, et al. Default mode network oscillatory coupling is increased following concussion. Front Neurol 2018;9:280; doi: 10.3389/fneur.2018.00280. · DOI
  26. Sun Y, Wang S, Gan S, et al. Serum neuron-specific enolase levels associated with connectivity alterations in anterior default mode network after mild traumatic brain injury. J Neurotrauma 2021;38(11):1495-1505; doi: 10.1089/neu.2020.7372. · DOI
  27. Raichle ME. The brain's default mode network. Annu Rev Neurosci 2015;38:433-447; doi: 10.1146/annurev-neuro-071013-014030. · DOI · Paper page
  28. Satpute AB, Lindquist KA. The default mode network's role in discrete emotion. Trends Cogn Sci 2019;23(10):851-864; doi: 10.1016/j.tics.2019.07.003. · DOI
  29. Smith V, Mitchell DJ, Duncan J. Role of the default mode network in cognitive transitions. Cereb Cortex 2018;28(10):3685-3696; doi: 10.1093/cercor/bhy167. · DOI
  30. Puig J, Ellis MJ, Kornelsen J, et al. Magnetic resonance imaging biomarkers of brain connectivity in predicting outcome after mild traumatic brain injury: a systematic review. J Neurotrauma 2020;37(16):1761-1776; doi: 10.1089/neu.2019.6623. · DOI
  31. Kamins J, Bigler E, Covassin T, et al. What is the physiological time to recovery after concussion? A systematic review. Br J Sports Med 2017;51(12):935-940; doi: 10.1136/bjsports-2016-097464. · DOI
  32. Bretzin AC, Esopenko C, D'Alonzo BA, et al. Clinical recovery timelines after sport-related concussion in men's and women's collegiate sports. J Athl Train 2022;57(7):678-687; doi: 10.4085/601-20. · DOI
  33. Lovell MR, Iverson GL, Collins MW, et al. Measurement of symptoms following sports-related concussion: reliability and normative data for the post-concussion scale. Appl Neuropsychol 2006;13(3):166-174; doi: 10.1207/s15324826an1303_4. · DOI
  34. Merritt VC, Meyer JE, Arnett PA. A novel approach to classifying postconcussion symptoms: the application of a new framework to the Post-Concussion Symptom Scale. J Clin Exp Neuropsychol 2015;37(7):764-775; doi: 10.1080/13803395.2015.1060950. · DOI
  35. Maerlender AC, Masterson CJ, James TD, et al. Test-retest, retest, and retest: growth curve models of repeat testing with Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT). J Clin Exp Neuropsychol 2016;38(8):869-874; doi: 10.1080/13803395.2016.1168781. · DOI
  36. Dosenbach NUF, Koller JM, Earl EA, et al. Real-time motion analytics during brain MRI improve data quality and reduce costs. Neuroimage 2017;161:80-93; doi: 10.1016/j.neuroimage.2017.08.025. · DOI
  37. Gordon EM, Laumann TO, Gilmore AW, et al. Precision functional mapping of individual human brains. Neuron 2017;95(4):791-807.e7; doi: 10.1016/j.neuron.2017.07.011. · DOI · Paper page
  38. Fischl B. FreeSurfer. Neuroimage 2012;62(2):774-781; doi: 10.1016/j.neuroimage.2012.01.021. · DOI · Paper page
  39. Friston KJ, Williams S, Howard R, et al. Movement-related effects in fMRI time-series. Magn Reson Med 1996;35(3):346-355; doi: 10.1002/mrm.1910350312. · DOI · Paper page
  40. Power JD, Cohen AL, Nelson SM, et al. Functional network organization of the human brain. Neuron 2011;72(4):665-678; doi: 10.1016/j.neuron.2011.09.006. · DOI · Paper page
  41. Pedersen M, Omidvarnia A, Shine JM, et al. Reducing the influence of intramodular connectivity in participation coefficient. Netw Neurosci 2020;4(2):416-431; doi: 10.1162/netn_a_00127. · DOI
  42. van Kesteren MTR, Ruiter DJ, Fernández G, et al. How schema and novelty augment memory formation. Trends Neurosci 2012;35(4):211-219; doi: 10.1016/j.tins.2012.02.001. · DOI · Paper page
  43. Müller NCJ, Dresler M, Janzen G, et al. Medial prefrontal decoupling from the default mode network benefits memory. NeuroImage 2020;210:116543; doi: 10.1016/j.neuroimage.2020.116543. · DOI
  44. Sharp DJ, Scott G, Leech R. Network dysfunction after traumatic brain injury. Nat Rev Neurol 2014;10(3):156-166; doi: 10.1038/nrneurol.2014.15. · DOI
  45. Hillary FG, Slocomb J, Hills EC, et al. Changes in resting connectivity during recovery from severe traumatic brain injury. Int J Psychophysiol 2011;82(1):115-123; doi: 10.1016/j.ijpsycho.2011.03.011. · DOI
  46. Sharp DJ, Beckmann CF, Greenwood R, et al. Default mode network functional and structural connectivity after traumatic brain injury. Brain 2011;134(Pt 8):2233-2247; doi: 10.1093/brain/awr175. · DOI
  47. Shumskaya E, van Gerven MAJ, Norris DG, et al. Abnormal connectivity in the sensorimotor network predicts attention deficits in traumatic brain injury. Exp Brain Res 2017;235(3):799-807; doi: 10.1007/s00221-016-4841-z. · DOI
  48. Bernier RA, Roy A, Venkatesan UM, et al. Dedifferentiation does not account for hyperconnectivity after traumatic brain injury. Front Neurol 2017;8:297; doi: 10.3389/fneur.2017.00297. · DOI
  49. Palacios EM, Yuh EL, Chang Y-S, et al. Resting-state functional connectivity alterations associated with six-month outcomes in mild traumatic brain injury. J Neurotrauma 2017;34(8):1546-1557; doi: 10.1089/neu.2016.4752. · DOI
  50. D'Souza MM, Kumar M, Choudhary A, et al. Alterations of connectivity patterns in functional brain networks in patients with mild traumatic brain injury: a longitudinal resting-state functional magnetic resonance imaging study. Neuroradiol J 2020;33(2):186-197; doi: 10.1177/1971400920901706. · DOI
  51. Iraji A, Benson RR, Welch RD, et al. Resting state functional connectivity in mild traumatic brain injury at the acute stage: independent component and seed-based analyses. J Neurotrauma 2015;32(14):1031-1045; doi: 10.1089/neu.2014.3610. · DOI
  52. Mayer AR, Mannell MV, Ling J, et al. Functional connectivity in mild traumatic brain injury. Hum Brain Mapp 2011;32(11):1825-1835; doi: 10.1002/hbm.21151. · DOI
  53. Murdaugh DL, King TZ, Sun B, et al. Longitudinal changes in resting state connectivity and white matter integrity in adolescents with sports-related concussion. J Int Neuropsychol Soc 2018;24(8):781-792; doi: 10.1017/S1355617718000413. · DOI
  54. Stevens MC, Lovejoy D, Kim J, et al. Multiple resting state network functional connectivity abnormalities in mild traumatic brain injury. Brain Imaging Behav 2012;6(2):293-318; doi: 10.1007/s11682-012-9157-4. · DOI
  55. Borich M, Babul A-N, Yuan PH, et al. Alterations in resting-state brain networks in concussed adolescent athletes. J Neurotrauma 2015;32(4):265-271; doi: 10.1089/neu.2013.3269. · DOI
  56. Zhou Y, Milham MP, Lui YW, et al. Default-mode network disruption in mild traumatic brain injury. Radiology 2012;265(3):882-892; doi: 10.1148/radiol.12120748. · DOI
  57. Zhu DC, Covassin T, Nogle S, et al. A potential biomarker in sports-related concussion: brain functional connectivity alteration of the default-mode network measured with longitudinal resting-state fMRI over thirty days. J Neurotrauma 2015;32(5):327-341; doi: 10.1089/neu.2014.3413. · DOI
  58. Rahman MRA, Abd Hamid AI, Noh NA, et al. Alteration in the functional organization of the default mode network following closed non-severe traumatic brain injury. Front Neurosci 2022;16:833320; doi: 10.3389/fnins.2022.833320. · DOI
  59. Meningher I, Bernstein-Eliav M, Rubovitch V, et al. Alterations in network connectivity after traumatic brain injury in mice. J Neurotrauma 2020;37(20):2169-2179; doi: 10.1089/neu.2020.7063. · DOI
  60. Yuan W, Wade SL, Babcock L. Structural connectivity abnormality in children with acute mild traumatic brain injury using graph theoretical analysis: abnormal structural connectivity in children with acute mTBI. Hum Brain Mapp 2015;36(2):779-792; doi: 10.1002/hbm.22664. · DOI
  61. Skau S, Johansson B, Kuhn H-G, et al. Segregation over time in functional networks in prefrontal cortex for individuals suffering from pathological fatigue after traumatic brain injury. Front Neurosci 2022;16:972720; doi: 10.3389/fnins.2022.972720. · DOI
  62. Grossner EC, Mayer AR, Hillary FG. Neuroimaging and sports-related concussion. In: Neuropsychology of sports-related concussion. (Arnett PA. ed) American Psychological Association: Washington; 2019; pp. 119-150; doi: 10.1037/0000114-006. · DOI
  63. Conder RL, Conder AA. Heart rate variability interventions for concussion and rehabilitation. Front Psychol 2014;5; doi: 10.3389/fpsyg.2014.00890. · DOI
  64. Kontos AP, Deitrick JM, Collins MW, et al. Review of vestibular and oculomotor screening and concussion rehabilitation. J Athl Train 2017;52(3):256-261; doi: 10.4085/1062-6050-51.11.05. · DOI
  65. Mucha A, Collins MW, Elbin RJ, et al. A brief Vestibular/Ocular Motor Screening (VOMS) assessment to evaluate concussions: preliminary findings. Am J Sports Med 2014;42(10):2479-2486; doi: 10.1177/0363546514543775. · DOI

Cited by

Authors
Bouchard, H. C., Higgins, K. L., Amadon, G. K., Laing-Young, J. M., Maerlender, A., Al‑Momani, S., Neta, M., Savage, C. R., & Schultz, D. H.
Affiliations
  • University of Nebraska–Lincoln (US)
  • Center for Brain, Biology and Behavior, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Corresponding author
Bouchard, Heather C.
Venue
Journal of Neurotrauma
Published
2024-02-27
Volume
41
Issue
5-6
Pages
571-586
ISSN
  • 0897-7151 (ISSN-L)
  • 1557-9042
OpenAlex
W4388801635
Cited by
13
References
4
Citations by year
2026: 3 · 2025: 8 · 2024: 2
FWCI
3.99
Type
journal article
Language
en
Open access
Locations
  • Journal of Neurotrauma (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
  • PubMed (publishedVersion)
  • Lincoln (University of Nebraska) (submittedVersion, cc-by-nd)
Funders
University of Nebraska-Lincoln
Topics
  • Health Sciences › Medicine › Epidemiology › Traumatic Brain Injury Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
concussion, default mode network, resting-state functional connectivity, visual memory, somatic symptoms, post-concussion symptoms, cognitive impairment, collegiate athletes, return to sport
MeSH terms
Default Mode Network, Brain, Brain Concussion, Cognition, Humans, Athletes

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