The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Dynamic Functional Connectivity in Pediatric Mild Traumatic Brain Injury
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Static functional connectivity alterations included increased interhemispheric connectivity between bilateral precuneus and bilateral thalami, and decreased connectivity between the right supplementary motor area and left cerebellar area, with some changes persisting up to 1-year post-injury and correlating with executive function and memory deficits (van der Horn et al., 2024; van der Horn et al.”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as van der Horn et al. (2024)
In the citing paper
“(3) No significant associations were found between altered FC (dynamic or static) and post-concussive symptoms, injury severity measures (LOC, PTA, lesions), or history of previous mTBI.”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as van der Horn et al. (2024)
In the citing paper
“(1) pmTBI spent significantly less time in a frontotemporal default mode/limbic brain state (State 9) compared to controls at both subacute and early chronic visits.”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as van der Horn et al. (2024)
In the citing paper
“Static functional connectivity alterations included increased interhemispheric connectivity between bilateral precuneus and bilateral thalami, and decreased connectivity between the right supplementary motor area and left cerebellar area, with some changes persisting up to 1-year post-injury and correlating with executive function and memory deficits (van der Horn et al., 2024; van der Horn et al.”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as van der Horn et al. (2024)
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
A Multidimensional Approach to Post-concussion Symptoms in Mild Traumatic Brain Injury
Polinder, S., Cnossen, M. C., Real, R. G. L., Covic, A., Gorbunova, A., Voormolen, D. C., Master, C. L., Haagsma, J. A., Diaz-Arrastia, R., & von Steinbuechel, N. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.01113 · Cited by 376
Healey, K., Fang, Z., Smith, A., Zemek, R., & Ledoux, A.-A. (2022) · NeuroImage: Clinical · doi:10.1016/j.nicl.2022.103211 · Cited by 19
Research works printed but not linked: 57
- Abou Elseoud, 2011, Group-ICA Model Order Highlights Patterns of Functional Brain Connectivity, Front Syst Neurosci, 5, 37, 10.3389/fnsys.2011.00037 · DOI
- Alonso Martinez, 2020, The Dynamics of Functional Brain Networks Associated With Depressive Symptoms in a Nonclinical Sample, Front Neural Circuits, 14, 10.3389/fncir.2020.570583 · DOI
- Andrews-Hanna, 2014, The default network and self-generated thought: component processes, dynamic control, and clinical relevance, Ann N Y Acad Sci, 1316, 29, 10.1111/nyas.12360 · DOI · Paper page
- Aoki, 2016, A voxel-based meta-analysis of diffusion tensor imaging in mild traumatic brain injury, Neurosci Biobehav Rev, 66, 119, 10.1016/j.neubiorev.2016.04.021 · DOI
- Biswal, 1995, Functional connectivity in the motor cortex of resting human brain using echo-planar MRI, Magnetic Resonance Medicine, 34, 537, 10.1002/mrm.1910340409 · DOI · Paper page
- Borich, 2015, Alterations in resting-state brain networks in concussed adolescent athletes, J Neurotrauma, 32, 265, 10.1089/neu.2013.3269 · DOI
- Cabral, 2017, Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms, Neuroimage, 160, 84, 10.1016/j.neuroimage.2017.03.045 · DOI · Paper page
- Cabral, J., Vidaurre, D., Marques, P., Magalhaes, R., Silva Moreira, P., Miguel Soares, J., Deco, G., Sousa, N., & Kringelbach, M. L. (2017). Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest. Sci Rep, 7(1), 5135. https://doi.org/10.1038/s41598-017-05425-7. · DOI · Paper page
- Calhoun, 2014, The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery, Neuron, 84, 262, 10.1016/j.neuron.2014.10.015 · DOI · Paper page
- Cohen, 2018, The behavioral and cognitive relevance of time-varying, dynamic changes in functional connectivity, Neuroimage, 180, 515, 10.1016/j.neuroimage.2017.09.036 · DOI · Paper page
- Cole, 2007, The cognitive control network: Integrated cortical regions with dissociable functions, Neuroimage, 37, 343, 10.1016/j.neuroimage.2007.03.071 · DOI · Paper page
- Cox, 1996, AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages, Comput.Biomed.Res, 29, 162, 10.1006/cbmr.1996.0014 · DOI · Paper page
- De Simoni, 2016, Disconnection between the default mode network and medial temporal lobes in post-traumatic amnesia, Brain, 139, 3137, 10.1093/brain/aww241 · DOI
- Fasano, 2023, The early adolescent brain on music: Analysis of functional dynamics reveals engagement of orbitofrontal cortex reward system, Hum Brain Mapp, 44, 429, 10.1002/hbm.26060 · DOI
- Figueroa, 2019, Altered ability to access a clinically relevant control network in patients remitted from major depressive disorder, Hum Brain Mapp, 40, 2771, 10.1002/hbm.24559 · DOI
- Hancock, 2022, Metastability, fractal scaling, and synergistic information processing: What phase relationships reveal about intrinsic brain activity, Neuroimage, 259, 10.1016/j.neuroimage.2022.119433 · DOI
- Hattori, 2009, Differential SPECT activation patterns associated with PASAT performance may indicate frontocerebellar functional dissociation in chronic mild traumatic brain injury, J Nucl Med, 50, 1054, 10.2967/jnumed.108.060368 · DOI
- Ikotun, 2023, K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data, Information Sciences, 622, 178, 10.1016/j.ins.2022.11.139 · DOI · Paper page
- Jang, 2019, The Relation Between Loss of Consciousness, Severity of Traumatic Brain Injury, and Injury of Ascending Reticular Activating System in Patients With Traumatic Brain Injury, Am J Phys Med Rehabil, 98, 1067, 10.1097/PHM.0000000000001243 · DOI
- Jenkinson, 2012, Fsl, Neuroimage, 62, 782, 10.1016/j.neuroimage.2011.09.015 · DOI · Paper page
- Johnston, 2008, Loss of resting interhemispheric functional connectivity after complete section of the corpus callosum, J.Neurosci, 28, 6453, 10.1523/JNEUROSCI.0573-08.2008 · DOI · Paper page
- Kay, 1993, Definition of mild traumatic brain injury, Journal of Head Trauma Rehabilitation, 8, 86, 10.1097/00001199-199309000-00009 · DOI · Paper page
- Lord, 2019, Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin, Neuroimage, 199, 127, 10.1016/j.neuroimage.2019.05.060 · DOI
- Mallott, J. M., Palacios, E. M., Maruta, J., Ghajar, J., & Mukherjee, P. (2019). Disrupted White Matter Microstructure of the Cerebellar Peduncles in Scholastic Athletes After Concussion. Front Neurol, 10, 518. https://doi.org/10.3389/fneur.2019.00518. · DOI
- Manning, 2017, Multiparametric MRI changes persist beyond recovery in concussed adolescent hockey players, Neurology, 89, 2157, 10.1212/WNL.0000000000004669 · DOI
- Mayer, 2018, Advanced biomarkers of pediatric mild traumatic brain injury: Progress and perils, Neurosci.Biobehav.Rev, 94, 149, 10.1016/j.neubiorev.2018.08.002 · DOI
- Mayer, A. R., Mannell, M. V., Ling, J., Gasparovic, C., & Yeo, R. A. (2011). Functional connectivity in mild traumatic brain injury. Hum.Brain Mapp., 32(11), 1825-1835. PM:21259381. · DOI · Paper page
- Mayer, 2017, The spectrum of mild traumatic brain injury: A review, Neurology, 89, 623, 10.1212/WNL.0000000000004214 · DOI
- Mayer, 2020, Comparison of Methods for Classifying Persistent Post-Concussive Symptoms in Children, J Neurotrauma, 37, 1504, 10.1089/neu.2019.6805 · DOI
- McAllister, 2011, Neurobiological consequences of traumatic brain injury, Dialogues.Clin Neurosci, 13, 287, 10.31887/DCNS.2011.13.2/tmcallister · DOI · Paper page
- McAllister, 2012, Maximum principal strain and strain rate associated with concussion diagnosis correlates with changes in corpus callosum white matter indices, Ann.Biomed.Eng, 40, 127, 10.1007/s10439-011-0402-6 · DOI
- McCrory, 2009, Consensus Statement on Concussion in Sport: the 3rd International Conference on Concussion in Sport held in Zurich, November 2008, Br J Sports Med, 43
- Murdaugh, 2018, Longitudinal Changes in Resting State Connectivity and White Matter Integrity in Adolescents With Sports-Related Concussion, J Int Neuropsychol Soc, 28
- Newsome, M. R., Li, X., Lin, X., Wilde, E. A., Ott, S., Biekman, B., Hunter, J. V., Dash, P. K., Taylor, B. A., & Levin, H. S. (2016). Functional Connectivity Is Altered in Concussed Adolescent Athletes Despite Medical Clearance to Return to Play: A Preliminary Report [10.3389/fneur.2016.00116 doi]. Front Neurol., 7, 116. PM:27504104. · DOI
- Ochsner, 2005, The cognitive control of emotion, Trends Cogn Sci, 9, 242, 10.1016/j.tics.2005.03.010 · DOI · Paper page
- Palesi, F., De Rinaldis, A., Castellazzi, G., Calamante, F., Muhlert, N., Chard, D., Tournier, J. D., Magenes, G., D'Angelo, E., & Gandini Wheeler-Kingshott, C. A. M. (2017). Contralateral cortico-ponto-cerebellar pathways reconstruction in humans in vivo: implications for reciprocal cerebro-cerebellar structural connectivity in motor and non-motor areas. Sci Rep, 7(1), 12841. https://doi.org/10.1038/s41598-017-13079-8. · DOI
- Raichle, 2015, The brain’s default mode network [10.1146/annurev-neuro-071013-014030 doi], Annu.Rev.Neurosci, 38, 433, 10.1146/annurev-neuro-071013-014030 · DOI · Paper page
- Rausa, 2020, Neuroimaging in paediatric mild traumatic brain injury: a systematic review, Neurosci Biobehav Rev, 118, 643, 10.1016/j.neubiorev.2020.08.017 · DOI · Paper page
- Schmahmann, 1999, Three-Dimensional MRI Atlas of the Human Cerebellum in Proportional Stereotaxic Space, Neuroimage, 10, 10.1006/nimg.1999.0459 · DOI · Paper page
- Seeley, 2007, Dissociable intrinsic connectivity networks for salience processing and executive control, J Neurosci, 27, 2349, 10.1523/JNEUROSCI.5587-06.2007 · DOI · Paper page
- Shapiro, 2021, No Evidence of a Difference in Susceptibility-Weighted Imaging Lesion Burden or Functional Network Connectivity between Children with Typical and Delayed Recovery Two Weeks Post-Concussion, J Neurotrauma, 38, 2384, 10.1089/neu.2021.0069 · DOI
- Snyder, 2012, A brief history of the resting state: the Washington University perspective, Neuroimage, 62, 902, 10.1016/j.neuroimage.2012.01.044 · DOI
- Sours, 2015, Hyper-connectivity of the thalamus during early stages following mild traumatic brain injury, Brain Imaging Behav, 9, 550, 10.1007/s11682-015-9424-2 · DOI
- Storey, 2002, A direct approach to false discovery rates, J. R. Statist. Soc.B, 64, 10.1111/1467-9868.00346 · DOI · Paper page
- Tang, L., Ge, Y., Sodickson, D. K., Miles, L., Zhou, Y., Reaume, J., & Grossman, R. I. (2011). Thalamic Resting-State Functional Networks: Disruption in Patients with Mild Traumatic Brain Injury. Radiology. · DOI
- Tanglay, 2022, Anatomy and white-matter connections of the precuneus, Brain Imaging Behav, 16, 574, 10.1007/s11682-021-00529-1 · DOI
- Tzourio-Mazoyer, 2002, Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain, Neuroimage, 15, 273, 10.1006/nimg.2001.0978 · DOI · Paper page
- van der Horn, H. J., Dodd, A. B., Wick, T. V., Robertson-Benta, C. R., McQuaid, J. R., Hittson, A. K., Ling, J. M., Zotev, V., Ryman, S. G., Erhardt, E. B., Phillips, J. P., Campbell, R. A., Sapien, R. E., & Mayer, A. R. (2023). Neural correlates of cognitive control deficits in pediatric mild traumatic brain injury. Hum Brain Mapp. https://doi.org/10.1002/hbm.26504. · DOI · Paper page
- van der Horn, 2019, An integrated perspective linking physiological and psychological consequences of mild traumatic brain injury, J.Neurol
- van der Horn, H. J., Vergara, V. M., Espinoza, F. A., Calhoun, V. D., Mayer, A. R., & van der Naalt, J. (2020). Functional outcome is tied to dynamic brain states after mild to moderate traumatic brain injury. Hum.Brain Mapp., 41(3), 617-631. 10.1002/hbm.24827 PM:31633256. · DOI
- Vergara, 2017, Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy, J.Neurotrauma, 34, 1045, 10.1089/neu.2016.4526 · DOI
- Vergara, 2018, Dynamic functional network connectivity discriminates mild traumatic brain injury through machine learning, Neuroimage.Clin, 19, 30, 10.1016/j.nicl.2018.03.017 · DOI
- Vergara, 2020, Determining the number of states in dynamic functional connectivity using cluster validity indexes, J Neurosci Methods, 337, 10.1016/j.jneumeth.2020.108651 · DOI
- Wang, 2021, Single Mild Traumatic Brain Injury Deteriorates Progressive Interhemispheric Functional and Structural Connectivity, J Neurotrauma, 38, 464, 10.1089/neu.2018.6196 · DOI
- White, 2014, Time of acquisition and network stability in pediatric resting-state functional magnetic resonance imaging, Brain Connect, 4, 417, 10.1089/brain.2013.0195 · DOI
- Xia, 2013, BrainNet Viewer: a network visualization tool for human brain connectomics, PLoS One, 8, e68910, 10.1371/journal.pone.0068910 · DOI · Paper page
- Yeo, 2011, The organization of the human cerebral cortex estimated by intrinsic functional connectivity, J Neurophysiol, 106, 1125, 10.1152/jn.00338.2011 · DOI · Paper page
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
- van der Horn, H. J., Ling, J. M., Wick, T. V., Dodd, A. B., Robertson-Benta, C. R., McQuaid, J. R., Zotev, V., Vakhtin, A. A., Ryman, S. G., Cabral, J., Phillips, J. P., Campbell, R. A., Sapien, R. E., & Mayer, A. R.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2024-01
- Volume
- 285
- Pages
- 120470
- ISSN
- 1053-8119
- Cited by
- 23
- References
- 4
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
- Funders
- National Institutes of Health (R01 NS098494-03S1A1, P30 GM122734)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Dynamic Functional Connectivity in Pediatric Mild Traumatic Brain Injury. https://app.cochat.ai/papers/10.1016/j.neuroimage.2023.120470
- The paper
- van der Horn, H. J., Ling, J. M., Wick, T. V., Dodd, A. B., Robertson-Benta, C. R., McQuaid, J. R., Zotev, V., Vakhtin, A. A., Ryman, S. G., Cabral, J., Phillips, J. P., Campbell, R. A., Sapien, R. E., & Mayer, A. R. (2024). Dynamic Functional Connectivity in Pediatric Mild Traumatic Brain Injury. NeuroImage. https://doi.org/10.1016/j.neuroimage.2023.120470
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.