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Resting-state power and regional connectivity after pediatric mild traumatic brain injury
Abstract
Background: Physiological recovery from pediatric mild traumatic brain injury (pmTBI) as a function of age remains actively debated, with the majority of studies relying on subjective symptom report rather than objective markers of brain physiology. Purpose: To examine potential abnormalities in fractional amplitude of low‐frequency fluctuations (fALFF) or regional homogeniety (ReHo) during resting‐state fMRI following pmTBI. Study Type: Prospective cohort. Population: Consecutively recruited pmTBI (N = 105; 8–18 years old) and age‐ and sex‐matched healthy controls (HC; N = 113). Field Strength/Sequence: 3T multiecho gradient T 1‐weighted and single‐shot gradient‐echo echo‐planar imaging. Assessment: All pmTBI participants were assessed 1 week and 4 months postinjury (HC assessed at equivalent timepoints after the first visit). Comprehensive demographic, clinical, and cognitive batteries were performed in addition to primary investigation of fALFF and ReHo. All pmTBI were classified as “persistent” or “recovered” based on both assessment periods. Statistical Tests: Chi‐square, nonparametric, and generalized linear models for demographic data. Generalized estimating equations for clinical and cognitive data. Voxelwise general linear models (AFNI's 3dMVM) for fALFF and ReHo assessment. Results: Evidence of recovery was observed for some, but not all, clinical and cognitive measures at 4 months postinjury. fALFF was increased in the left striatum for pmTBI relative to HC both at 1 week and 4 months postinjury; whereas no significant group differences (P > 0.001) were observed for ReHo. Age‐at‐injury did not moderate either resting‐state metric across groups. In contrast to analyses of pmTBI as a whole, there were no significant (P > 0.001) differences in either fALFF or ReHo in patients with persistent postconcussive symptoms compared to recovered patients and controls at 4 months postinjury. Data Conclusions: Our findings suggest prolonged clinical recovery and alterations in the relative amplitude of resting‐state fluctuations up to 4 months postinjury, but no clear relationship with age‐at‐injury or subjective symptom report. Level of Evidence: 1 Technical Efficacy: 2 J. MAGN. RESON. IMAGING 2020;52:1701–1713.
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“Furthermore, increased fractional amplitude of low-frequency fluctuations (fALFF) in the left striatum of patients at both subacute and early chronic phases was reported, indicating altered spontaneous neural activity, while regional homogeneity (ReHo) showed no group differences (Stephenson et al., 2020) (Table 4).”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Stephenson et al. (2020)
In the citing paper
“(3) Contrary to hypothesis, no ReHo or fALFF abnormalities were specific to pmTBI with persistent post-concussive symptoms at 4 months postinjury.”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Stephenson et al. (2020)
In the citing paper
“(1) pmTBI showed increased fALFF in the left striatum compared to HCs at both subacute (SA) and early chronic (EC) phases.”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Stephenson et al. (2020)
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“(2) No significant group differences were observed for ReHo.”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Stephenson et al. (2020)
In the citing paper
“(4) Age-at-injury did not moderate ReHo or fALFF metrics.”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Stephenson et al. (2020)
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Cites
Regional homogeneity approach to fMRI data analysis.
Zang, Y., Jiang, T., Lu, Y., He, Y., & Tian, L. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.030 · Cited by 2,614
A six-item short-form survey for measuring headache impact: The HIT-6™
Kosinski, M., Bayliss, M. S., Bjorner, J. B., Ware, J. E., Garber, W. H., Batenhorst, A., Cady, R., Dahlöf, C. G. H., Dowson, A., & Tepper, S. (2003) · Quality of Life Research · doi:10.1023/a:1026119331193 · Cited by 1,376
Zemek, R., Barrowman, N., Freedman, S. B., Gravel, J., Gagnon, I., McGahern, C., Aglipay, M., Sangha, G., Boutis, K., Beer, D., et al. (2016) · JAMA · doi:10.1001/jama.2016.1203 · Cited by 900
The effect of scan length on the reliability of resting-state fMRI connectivity estimates
Birn, R. M., Molloy, E. K., Patriat, R., Parker, T., Meier, T. B., Kirk, G. R., Nair, V. A., Meyerand, M. E., & Prabhakaran, V. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.099 · Cited by 875
Self-citationZuo, X.-N., Kelly, C., Adelstein, J. S., Klein, D. F., Castellanos, F. X., & Milham, M. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.080 · Cited by 744
Neuropathology of mild traumatic brain injury: relationship to neuroimaging findings
Bigler, E. D., & Maxwell, W. L. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-011-9145-0 · Cited by 311
Which symptom assessments and approaches are uniquely appropriate for paediatric concussion?
Gioia, G. A., Schneider, J. C., Vaughan, C. G., & Isquith, P. K. (2009) · British Journal of Sports Medicine · doi:10.1136/bjsm.2009.058255 · Cited by 212
Research works printed but not linked: 50
- 10.1001/jama.2014.3979 · DOI
- 10.1016/j.pediatrneurol.2015.04.011 · DOI
- 10.1089/neu.2019.6805 · DOI
- 10.1001/jamapediatrics.2015.2374 · DOI · Paper page
- 10.1089/neu.2018.5739 · DOI
- 10.1002/acn3.764 · DOI
- 10.1007/s11682-016-9520-y · DOI
- 10.1089/brain.2014.0279 · DOI
- 10.1089/neu.2013.3269 · DOI
- 10.1016/j.jneumeth.2008.04.012 · DOI · Paper page
- 10.1097/NMD.0000000000000368 · DOI
- 10.1089/neu.2019.6471 · DOI
- 10.1016/j.neubiorev.2018.08.002 · DOI
- 10.1097/01.HTR.0000327255.38881.ca · DOI
- 10.1901/jaba.1979.12-691 · DOI · Paper page
- 10.1097/00005650-199902000-00003 · DOI · Paper page
- 10.1093/sleep/33.6.781 · DOI · Paper page
- 10.1177/1073191111411667 · DOI · Paper page
- 10.1016/S0304-3959(01)00349-9 · DOI · Paper page
- 10.1111/j.1469-7610.1997.tb01545.x · DOI · Paper page
- 10.1016/j.jpeds.2015.12.006 · DOI
- Derogatis LR Fitzpatrick M.The SCL‐90‐R the Brief Symptom Inventory (BSI) and the BSI‐18. InM. E.Maruish(Ed.) The use of psychological testing for treatment planning and outcomes assessment: Instruments for adults; 1–41.New Jersey:Lawrence Erlbaum Associates Publishers;2004.
- 10.1089/neu.2011.2272 · DOI · Paper page
- Delis DC, 2001, Delis‐Kaplan executive function system (D‐KEFS)
- Wechsler D, 2008, Wechsler adult intelligence scale‐fourth
- Wechsler D, 2014, Wechsler intelligence scale for children‐fifth edition (WISC‐V): Technical and interpretive manual
- Wilkinson GS, 2006, WRAT 4: Wide range achievement test; professional manual, Lutz, FL: Psychology Assessment Resources
- 10.1093/arclin/acs044 · DOI
- 10.1089/brain.2013.0154 · DOI
- 10.1089/brain.2016.0475 · DOI · Paper page
- 10.1002/hbm.22563 · DOI
- 10.1089/neu.2019.6471 · DOI
- 10.1080/02699052.2017.1406990 · DOI
- 10.1037/a0018112 · DOI · Paper page
- 10.1089/neu.2017.5185 · DOI
- 10.1177/0271678X19896883 · DOI · Paper page
- 10.1227/01.NEU.0000186950.54075.3B · DOI · Paper page
- 10.1016/j.neuroimage.2009.11.001 · DOI · Paper page
- 10.1016/j.neuroimage.2010.11.059 · DOI · Paper page
- 10.1002/jmri.24310 · DOI
- 10.3389/fnhum.2016.00027 · DOI
- 10.1002/hbm.23286 · DOI
- 10.1007/s11910-018-0881-z · DOI
- 10.1176/appi.ajp.2017.17020235 · DOI
- 10.1093/brain/awr103 · DOI · Paper page
- 10.1016/j.dcn.2010.10.001 · DOI
- 10.1002/hbm.23526 · DOI
- 10.1073/pnas.1720985115 · DOI · Paper page
- 10.1002/dev.20199 · DOI
- 10.1089/brain.2013.0195 · DOI
Cited by
Xu, H., Wu, S., Zhan, H., Xu, G., Zhao, J., & Yin, B. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1879109
Metadata
- Authors
- Stephenson, D. D., Meier, T. B., Pabbathi Reddy, S., Robertson‐Benta, C. R., Hergert, D. C., Dodd, A. B., Shaff, N. A., Ling, J. M., Oglesbee, S. J., Campbell, R. A., Phillips, J. P., Sapien, R. E., & Mayer, A. R.
- Affiliations
- The Mind Research Network/LBERI Albuquerque New Mexico USA
- Department of Neurosurgery Medical College of Wisconsin Milwaukee Wisconsin USA
- Emergency Medicine University of New Mexico Albuquerque New Mexico USA
- Departments of Psychiatry & Behavioral Sciences University of New Mexico Albuquerque New Mexico USA
- ORCID
- Stephenson, David D.
- Venue
- Journal of Magnetic Resonance Imaging
- Publisher
- Wiley
- Published
- 2020-06-27
- Volume
- 52
- Issue
- 6
- Pages
- 1701-1713
- ISSN
- 1053-1807
- 1522-2586
- Cited by
- 26
- References
- 7
- Language
- en
- Funders
- National Institutes of Health (NIH 01 R01 NS098494‐01A1, NIH 01 R01 NS098494‐03S1A1, NS098494‐01A1, NIH 01 R01)
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- Stephenson, D. D., Meier, T. B., Pabbathi Reddy, S., Robertson‐Benta, C. R., Hergert, D. C., Dodd, A. B., Shaff, N. A., Ling, J. M., Oglesbee, S. J., Campbell, R. A., Phillips, J. P., Sapien, R. E., & Mayer, A. R. (2020). Resting-state power and regional connectivity after pediatric mild traumatic brain injury. Journal of Magnetic Resonance Imaging. https://doi.org/10.1002/jmri.27249
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