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Ryan NP, Koester D, Crossley L, Botchway E, Hearps S, Catroppa C, Anderson V. Delineating the impact of childhood traumatic brain injury (TBI) on long-term depressive symptom severity: Does sub-acute brain morphometry prospectively predict 2-year outcome? Neuroimage Clin 2024; 41:103565. [PMID: 38241755 PMCID: PMC10831307 DOI: 10.1016/j.nicl.2024.103565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/25/2023] [Accepted: 01/08/2024] [Indexed: 01/21/2024]
Abstract
Despite evidence of a link between childhood TBI and heightened risk for depressive symptoms, very few studies have examined early risk factors that predict the presence and severity of post-injury depression beyond 1-year post injury. This longitudinal prospective study examined the effect of mild-severe childhood TBI on depressive symptom severity at 2-years post-injury. It also evaluated the potential role of sub-acute brain morphometry and executive function (EF) in prospectively predicting these long-term outcomes. The study involved 81 children and adolescents with TBI, and 40 age-and-sex matched typically developing (TD) controls. Participants underwent high-resolution structural magnetic resonance imaging (MRI) sub-acutely at five weeks post-injury (M = 5.55; SD = 3.05 weeks) and EF assessments were completed at 6-months post-injury. Compared to TD controls, the TBI group had significantly higher overall internalizing symptoms and were significantly more likely to exhibit clinically significant depressive symptoms at 2-year follow-up. The TBI group also displayed significantly lower EF and altered sub-acute brain morphometry in EF-related brain networks, including the default-mode network (DMN), salience network (SN) and central executive network (CEN). Mediation analyses revealed significant indirect effects of CEN morphometry on depression symptom severity, such that lower EF mediated the prospective association between altered CEN morphometry and higher depression symptoms in the TBI group. Parallel mediation analyses including grey matter morphometry of a non-EF brain network (i.e., the mentalising network) were not statistically significant, suggesting some model specificity. The findings indicate that screening for early neurostructural and neurocognitive risk factors may help identify children at elevated risk of depressive symptoms following TBI. For instance, children at greatest risk of post-injury depression symptoms could be identified based in part on neuroimaging of networks implicated in EF and post-acute assessments of executive function, which could support more effective allocation of limited intervention resources.
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Affiliation(s)
- Nicholas P Ryan
- School of Psychology, Deakin University, 221 Burwood Highway, Burwood 3125, Victoria, Australia; Brain & Mind Research, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia; Psychology Service, Royal Children's Hospital, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia; Department of Paediatrics, University of Melbourne, 50 Flemington Road, Parkville 3052, Victoria, Australia.
| | - Dawn Koester
- School of Psychology, Deakin University, 221 Burwood Highway, Burwood 3125, Victoria, Australia
| | - Louise Crossley
- Brain & Mind Research, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia
| | - Edith Botchway
- Brain & Mind Research, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia
| | - Stephen Hearps
- Brain & Mind Research, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia
| | - Cathy Catroppa
- Brain & Mind Research, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia; Psychology Service, Royal Children's Hospital, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia; Department of Paediatrics, University of Melbourne, 50 Flemington Road, Parkville 3052, Victoria, Australia
| | - Vicki Anderson
- Brain & Mind Research, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia; Psychology Service, Royal Children's Hospital, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia; Department of Paediatrics, University of Melbourne, 50 Flemington Road, Parkville 3052, Victoria, Australia
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Fan F, Anderson V, Morawakage T, Khan N, Shapiro JS, Ignjatovic V, Takagi M. Post-traumatic headache pathophysiology in paediatric concussion: A systematic review. Neurosci Biobehav Rev 2024; 156:105498. [PMID: 38043751 DOI: 10.1016/j.neubiorev.2023.105498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 11/28/2023] [Accepted: 11/29/2023] [Indexed: 12/05/2023]
Abstract
Post-traumatic headache (PTH) represents the most common acute and persistent symptom following concussion in children, yet the underlying pathophysiology remains unclear. This systematic review sought to: (i) rigorously examine the current evidence of PTH pathophysiology in paediatric concussion (0-18 years), (ii) assess the quality of evidence, and (iii) provide directions for future research in accordance with PRISMA guidelines. Eligible studies (n = 19) totalling 1214 concussion participants investigated cerebrovascular function (n = 6), white matter integrity (n = 3), functional connectivity (n = 3), electrophysiology (n = 1), neurometabolics (n = 2), biological fluid markers (n = 4), vestibular and oculomotor function (n = 4); two studies used a multi-modal approach. Majority of studies were rated as fair quality (90%) and Level 3 evidence (84%). The true underlying mechanisms of PTH following paediatric concussion remain unclear. Overall quality of the available evidence is generally weak with a fair risk of bias and characterised by relative scarcity and lack of specificity of PTH pathophysiology. Future research is required to rigorously isolate pathophysiology specific to PTH with strict adherence to clinical definitions and standardised measurement tools of PTH.
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Affiliation(s)
- Feiven Fan
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia.
| | - Vicki Anderson
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Victoria, Australia; Psychology Service, The Royal Children's Hospital, Melbourne, Victoria, Australia
| | | | - Noor Khan
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia
| | - Jesse S Shapiro
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Vera Ignjatovic
- Department of Paediatrics, University of Melbourne, Victoria, Australia; Institute for Clinical & Translational Research, Johns Hopkins All Children's, St Petersburg, FL, USA; Department of Pediatrics, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Michael Takagi
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia; Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
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van der Horn HJ, Ling JM, Wick TV, Dodd AB, Robertson-Benta CR, McQuaid JR, Zotev V, Vakhtin AA, Ryman SG, Cabral J, Phillips JP, Campbell RA, Sapien RE, Mayer AR. Dynamic Functional Connectivity in Pediatric Mild Traumatic Brain Injury. Neuroimage 2024; 285:120470. [PMID: 38016527 PMCID: PMC10815936 DOI: 10.1016/j.neuroimage.2023.120470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/13/2023] [Accepted: 11/20/2023] [Indexed: 11/30/2023] Open
Abstract
Resting-state fMRI can be used to identify recurrent oscillatory patterns of functional connectivity within the human brain, also known as dynamic brain states. Alterations in dynamic brain states are highly likely to occur following pediatric mild traumatic brain injury (pmTBI) due to the active developmental changes. The current study used resting-state fMRI to investigate dynamic brain states in 200 patients with pmTBI (ages 8-18 years, median = 14 years) at the subacute (∼1-week post-injury) and early chronic (∼ 4 months post-injury) stages, and in 179 age- and sex-matched healthy controls (HC). A k-means clustering analysis was applied to the dominant time-varying phase coherence patterns to obtain dynamic brain states. In addition, correlations between brain signals were computed as measures of static functional connectivity. Dynamic connectivity analyses showed that patients with pmTBI spend less time in a frontotemporal default mode/limbic brain state, with no evidence of change as a function of recovery post-injury. Consistent with models showing traumatic strain convergence in deep grey matter and midline regions, static interhemispheric connectivity was affected between the left and right precuneus and thalamus, and between the right supplementary motor area and contralateral cerebellum. Changes in static or dynamic connectivity were not related to symptom burden or injury severity measures, such as loss of consciousness and post-traumatic amnesia. In aggregate, our study shows that brain dynamics are altered up to 4 months after pmTBI, in brain areas that are known to be vulnerable to TBI. Future longitudinal studies are warranted to examine the significance of our findings in terms of long-term neurodevelopment.
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Affiliation(s)
| | - Josef M Ling
- The Mind Research Network/LBERI, Albuquerque, NM 87106
| | - Tracey V Wick
- The Mind Research Network/LBERI, Albuquerque, NM 87106
| | - Andrew B Dodd
- The Mind Research Network/LBERI, Albuquerque, NM 87106
| | | | | | - Vadim Zotev
- The Mind Research Network/LBERI, Albuquerque, NM 87106
| | | | | | - Joana Cabral
- Life and Health Sciences Research Institute, University of Minho, Braga, Portugal
| | | | - Richard A Campbell
- Department of Psychiatry & Behavioral Sciences, University of New Mexico, Albuquerque, NM 87131
| | - Robert E Sapien
- Department of Emergency Medicine, University of New Mexico, Albuquerque, NM 87131
| | - Andrew R Mayer
- The Mind Research Network/LBERI, Albuquerque, NM 87106; Department of Psychiatry & Behavioral Sciences, University of New Mexico, Albuquerque, NM 87131; Department of Psychology, University of New Mexico, Albuquerque, NM 87131; Department of Neurology, University of New Mexico, Albuquerque, NM 87131
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Meyers SP, Hirad A, Gonzalez P, Bazarian JJ, Mirabelli MH, Rizzone KH, Ma HM, Rosella P, Totterman S, Schreyer E, Tamez-Pena JG. Clinical performance of a multiparametric MRI-based post concussive syndrome index. Front Neurol 2023; 14:1282833. [PMID: 38170071 PMCID: PMC10759224 DOI: 10.3389/fneur.2023.1282833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 12/01/2023] [Indexed: 01/05/2024] Open
Abstract
Introduction Diffusion Tensor Imaging (DTI) has revealed measurable changes in the brains of patients with persistent post-concussive syndrome (PCS). Because of inconsistent results in univariate DTI metrics among patients with mild traumatic brain injury (mTBI), there is currently no single objective and reliable MRI index for clinical decision-making in patients with PCS. Purpose This study aimed to evaluate the performance of a newly developed PCS Index (PCSI) derived from machine learning of multiparametric magnetic resonance imaging (MRI) data to classify and differentiate subjects with mTBI and PCS history from those without a history of mTBI. Materials and methods Data were retrospectively extracted from 139 patients aged between 18 and 60 years with PCS who underwent MRI examinations at 2 weeks to 1-year post-mTBI, as well as from 336 subjects without a history of head trauma. The performance of the PCS Index was assessed by comparing 69 patients with a clinical diagnosis of PCS with 264 control subjects. The PCSI values for patients with PCS were compared based on the mechanism of injury, time interval from injury to MRI examination, sex, history of prior concussion, loss of consciousness, and reported symptoms. Results Injured patients had a mean PCSI value of 0.57, compared to the control group, which had a mean PCSI value of 0.12 (p = 8.42e-23) with accuracy of 88%, sensitivity of 64%, and specificity of 95%, respectively. No statistically significant differences were found in the PCSI values when comparing the mechanism of injury, sex, or loss of consciousness. Conclusion The PCSI for individuals aged between 18 and 60 years was able to accurately identify patients with post-concussive injuries from 2 weeks to 1-year post-mTBI and differentiate them from the controls. The results of this study suggest that multiparametric MRI-based PCSI has great potential as an objective clinical tool to support the diagnosis, treatment, and follow-up care of patients with post-concussive syndrome. Further research is required to investigate the replicability of this method using other types of clinical MRI scanners.
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Affiliation(s)
- Steven P. Meyers
- Department of Imaging Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Adnan Hirad
- Department of Vascular Surgery, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | | | - Jeffrey J. Bazarian
- Departments of Emergency Medicine, Neurology, Neurosurgery, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Mark H. Mirabelli
- Department of Orthopedics, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Katherine H. Rizzone
- Department of Orthopedics, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Heather M. Ma
- Department of Physical Medicine and Rehabilitation, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Peter Rosella
- Department of Imaging Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | | | | | - Jose G. Tamez-Pena
- School of Medicine and Health Sciences, Tecnologico de Monterey, Monterrey, Mexico
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van der Horn HJ, Dodd AB, Wick TV, Robertson‐Benta CR, McQuaid JR, Hittson AK, Ling JM, Zotev V, Ryman SG, Erhardt EB, Phillips JP, Campbell RA, Sapien RE, Mayer AR. Neural correlates of cognitive control deficits in pediatric mild traumatic brain injury. Hum Brain Mapp 2023; 44:6173-6184. [PMID: 37800467 PMCID: PMC10619369 DOI: 10.1002/hbm.26504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 08/18/2023] [Accepted: 09/14/2023] [Indexed: 10/07/2023] Open
Abstract
There is a growing body of research showing that cerebral pathophysiological processes triggered by pediatric mild traumatic brain injury (pmTBI) may extend beyond the usual clinical recovery timeline. It is paramount to further unravel these processes, because the possible long-term cognitive effects resulting from ongoing secondary injury in the developing brain are not known. In the current fMRI study, neural processes related to cognitive control were studied in 181 patients with pmTBI at sub-acute (SA; ~1 week) and early chronic (EC; ~4 months) stages post-injury. Additionally, a group of 162 age- and sex-matched healthy controls (HC) were recruited at equivalent time points. Proactive (post-cue) and reactive (post-probe) cognitive control were examined using a multimodal attention fMRI paradigm for either congruent or incongruent stimuli. To study brain network function, the triple-network model was used, consisting of the executive and salience networks (collectively known as the cognitive control network), and the default mode network. Additionally, whole-brain voxel-wise analyses were performed. Decreased deactivation was found within the default mode network at the EC stage following pmTBI during both proactive and reactive control. Voxel-wise analyses revealed sub-acute hypoactivation of a frontal area of the cognitive control network (left pre-supplementary motor area) during proactive control, with a reversed effect at the EC stage after pmTBI. Similar effects were observed in areas outside of the triple-network during reactive control. Group differences in activation during proactive control were limited to the visual domain, whereas for reactive control findings were more pronounced during the attendance of auditory stimuli. No significant correlations were present between task-related activations and (persistent) post-concussive symptoms. In aggregate, current results show alterations in neural functioning during cognitive control in pmTBI up to 4 months post-injury, regardless of clinical recovery. We propose that subacute decreases in activity reflect a general state of hypo-excitability due to the injury, while early chronic hyperactivation represents a compensatory mechanism to prevent default mode interference and to retain cognitive control.
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Affiliation(s)
| | | | | | | | | | | | - Josef M. Ling
- The Mind Research Network/LBERIAlbuquerqueNew MexicoUSA
| | - Vadim Zotev
- The Mind Research Network/LBERIAlbuquerqueNew MexicoUSA
| | | | - Erik B. Erhardt
- Department of Mathematics and StatisticsUniversity of New MexicoAlbuquerqueNew MexicoUSA
| | | | - Richard A. Campbell
- Department of Psychiatry & Behavioral SciencesUniversity of New MexicoAlbuquerqueNew MexicoUSA
| | - Robert E. Sapien
- Department of Emergency MedicineUniversity of New MexicoAlbuquerqueNew MexicoUSA
| | - Andrew R. Mayer
- The Mind Research Network/LBERIAlbuquerqueNew MexicoUSA
- Department of Psychiatry & Behavioral SciencesUniversity of New MexicoAlbuquerqueNew MexicoUSA
- Department of PsychologyUniversity of New MexicoAlbuquerqueNew MexicoUSA
- Department of NeurologyUniversity of New MexicoAlbuquerqueNew MexicoUSA
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6
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Scratch SE, Mallory KD, Al-Hakeem H, Lovell A, Moody K, Lam B, Brazill L, Knapp P, Hickling A. Move&Connect-Youth: A Virtual Group Intervention for Youth Experiencing Persisting Symptoms After Concussion. Dev Neurorehabil 2023; 26:471-482. [PMID: 38531782 DOI: 10.1080/17518423.2024.2331455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 03/12/2024] [Indexed: 03/28/2024]
Abstract
Move&Connect-Youth (M&C-Y) is an interdisciplinary virtual group intervention for youth experiencing persisting symptoms after concussion (PSAC) that includes psychoeducation, active rehabilitation, and goal-setting. Using an intervention mapping framework, this paper describes the iterative development of M&C-Y and findings from initial feasibility testing. Ten youth participated in M&C-Y completing pre-intervention demographic questionnaires and semi-structured exit interviews to understand participants' experience and gather feedback. M&C-Y was feasible based on apriori criteria and findings from interviews provided insights related to: (1) intervention structure, (2) intervention engagement, and (3) intervention takeaways. M&C-Y is a meaningful, feasible, and engaging intervention for youth with PSAC.
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Affiliation(s)
- Shannon E Scratch
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Paediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Kylie D Mallory
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | - Hiba Al-Hakeem
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
- Department of Psychology, University of Windsor, Windsor, Ontario, Canada
| | - Andrew Lovell
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | - Kim Moody
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | - Brendan Lam
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | - Lindsay Brazill
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | - Patricia Knapp
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | - Andrea Hickling
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
- Department of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
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Newcombe V, Richter S, Whitehouse DP, Bloom BM, Lecky F. Fluid biomarkers and neuroimaging in mild traumatic brain injury: current uses and potential future directions for clinical use in emergency medicine. Emerg Med J 2023; 40:671-677. [PMID: 37438096 DOI: 10.1136/emermed-2023-213111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 07/02/2023] [Indexed: 07/14/2023]
Abstract
Mild traumatic brain injury is a common presentation to the emergency department, with current management often focusing on determining whether a patient requires a CT head scan and/or neurosurgical intervention. There is a growing appreciation that approximately 20%-40% of patients, including those with a negative (normal) CT, will develop ongoing symptoms for months to years, often termed post-concussion syndrome. Owing to the requirement for improved diagnostic and prognostic mechanisms, there has been increasing evidence concerning the utility of both imaging and blood biomarkers.Blood biomarkers offer the potential to better risk stratify patients for requirement of neuroimaging than current clinical decisions rules. However, improved assessment of the clinical utility is required prior to wide adoption. MRI, using clinical sequences and advanced quantitative methods, can detect lesions not visible on CT in up to 30% of patients that may explain, at least in part, some of the ongoing problems. The ability of an acute biomarker (be it imaging, blood or other) to highlight those patients at greater risk of ongoing deficits would allow for greater personalisation of follow-up care and resource allocation.We discuss here both the current evidence and the future potential clinical usage of blood biomarkers and advanced MRI to improve diagnostic pathways and outcome prediction following mild traumatic brain injury.
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Affiliation(s)
- Virginia Newcombe
- Emergency and Urgent Care Research in Cambridge (EURECA), PACE Section, Department of Medicine, Cambridge University, Cambridge, UK
- Emergency Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Sophie Richter
- Emergency and Urgent Care Research in Cambridge (EURECA), PACE Section, Department of Medicine, Cambridge University, Cambridge, UK
- Emergency Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Daniel P Whitehouse
- Emergency and Urgent Care Research in Cambridge (EURECA), PACE Section, Department of Medicine, Cambridge University, Cambridge, UK
- Emergency Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Fiona Lecky
- Health Services Research, The University of Sheffield, Sheffield, South Yorkshire, UK
- Emergency Department /TARN, Salford and Trafford Health Authority, Manchester, UK
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Takagi M, Ball G, Babl FE, Anderson N, Chen J, Clarke C, Davis GA, Hearps SJC, Pascouau R, Cheng N, Rausa VC, Seal M, Shapiro JS, Anderson V. Examining post-concussion white matter change in a pediatric sample. Neuroimage Clin 2023; 39:103486. [PMID: 37634376 PMCID: PMC10474493 DOI: 10.1016/j.nicl.2023.103486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 07/12/2023] [Accepted: 07/28/2023] [Indexed: 08/29/2023]
Abstract
Diffusion-Weight Imaging (DWI) is increasingly used to explore a range of outcomes in pediatric concussion, particularly the neurobiological underpinnings of symptom recovery. However, the DWI findings within the broader pediatric concussion literature are mixed, which can largely be explained by methodological heterogeneity. To address some of these limitations, the aim of the present study was to utilize internationally- recognized criteria for concussion and a consistent imaging timepoint to conduct a comprehensive, multi-parametric survey of white matter microstructure after concussion. Forty-three children presenting with concussion to the emergency department of a tertiary level pediatric hospital underwent neuroimaging and were classified as either normally recovering (n = 27), or delayed recovering (n = 14) based on their post-concussion symptoms at 2 weeks post-injury.We combined multiple DWI metrics across four modeling approaches using Linked Independent Component Analysis (LICA) to extract several independent patterns of covariation in tissue microstructure present in the study cohort. Our analysis did not identify significant differences between the symptomatic and asymptomatic groups and no component significantly predicted delayed recovery. If white matter microstructure changes are implicated in delayed recovery from concussion, these findings, alongside previous work, suggest that current diffusion techniques are insufficient to detect those changes at this time.
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Affiliation(s)
- Michael Takagi
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia; Department of Rehabilitation Medicine, The Royal Children's Hospital, Melbourne, Victoria, Australia; Monash School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Gareth Ball
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Victoria, Australia
| | - Franz E Babl
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Victoria, Australia; Emergency Department, The Royal Children's Hospital, Melbourne, Victoria, Australia.
| | - Nicholas Anderson
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Jian Chen
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Cathriona Clarke
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Gavin A Davis
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Neurosurgery, Austin and Cabrini Hospitals, Melbourne, Victoria, Australia
| | | | - Renee Pascouau
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia
| | - Nicholas Cheng
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Monash School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Vanessa C Rausa
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Marc Seal
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Victoria, Australia
| | - Jesse S Shapiro
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Vicki Anderson
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Victoria, Australia; Psychology Service, The Royal Children's Hospital, Melbourne, Victoria, Australia; Monash School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
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9
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Nishat E, Stojanovski S, Scratch SE, Ameis SH, Wheeler AL. Premature white matter microstructure in female children with a history of concussion. Dev Cogn Neurosci 2023; 62:101275. [PMID: 37441978 PMCID: PMC10439504 DOI: 10.1016/j.dcn.2023.101275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 05/18/2023] [Accepted: 07/06/2023] [Indexed: 07/15/2023] Open
Abstract
Childhood concussion may interfere with neurodevelopment and influence cognition. Females are more likely to experience persistent symptoms after concussion, yet the sex-specific impact of concussion on brain microstructure in children is understudied. This study examined white matter and cortical microstructure, based on neurite density (ND) from diffusion-weighted MRI, in 9-to-10-year-old children in the Adolescent Brain Cognitive Development Study with (n = 336) and without (n = 7368) a history of concussion, and its relationship with cognitive performance. Multivariate regression was used to investigate relationships between ND and group, sex, and age in deep and superficial white matter, subcortical structures, and cortex. Partial least square correlation was performed to identify associations between ND and performance on NIH Toolbox tasks in children with concussion. All tissue types demonstrated higher ND with age, reflecting brain maturation. Group comparisons revealed higher ND in deep and superficial white matter in females with concussion. In female but not male children with concussion, there were significant associations between ND and performance on cognitive tests. These results demonstrate a greater long-term impact of childhood concussion on white matter microstructure in females compared to males that is associated with cognitive function. The increase in ND in females may reflect premature white matter maturation.
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Affiliation(s)
- Eman Nishat
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario M5S 1A8, Canada; Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada
| | - Sonja Stojanovski
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario M5S 1A8, Canada; Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada
| | - Shannon E Scratch
- Department of Paediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario M5S 1A8, Canada; Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario M5G 1V7, Canada; Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario M4G 1R8, Canada
| | - Stephanie H Ameis
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario M5T 1R8, Canada; Cundill Centre for Child and Youth Depression, Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario M6J 1H4, Canada
| | - Anne L Wheeler
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario M5S 1A8, Canada; Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada.
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Crasta JE, Nebel MB, Svingos A, Tucker RN, Chen HW, Busch T, Caffo BS, Stephens J, Suskauer SJ. Rethinking recovery in adolescent concussions: Network-level functional connectivity alterations associated with motor deficits. Hum Brain Mapp 2023; 44:3271-3282. [PMID: 36999674 PMCID: PMC10171516 DOI: 10.1002/hbm.26280] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 02/10/2023] [Accepted: 03/06/2023] [Indexed: 04/01/2023] Open
Abstract
Adolescents who are clinically recovered from concussion continue to show subtle motor impairment on neurophysiological and behavioral measures. However, there is limited information on brain-behavior relationships of persistent motor impairment following clinical recovery from concussion. We examined the relationship between subtle motor performance and functional connectivity of the brain in adolescents with a history of concussion, status post-symptom resolution, and subjective return to baseline. Participants included 27 adolescents who were clinically recovered from concussion and 29 never-concussed, typically developing controls (10-17 years); all participants were examined using the Physical and Neurologic Examination of Subtle Signs (PANESS). Functional connectivity between the default mode network (DMN) or dorsal attention network (DAN) and regions of interest within the motor network was assessed using resting-state functional magnetic resonance imaging (rsfMRI). Compared to controls, adolescents clinically recovered from concussion showed greater subtle motor deficits as evaluated by the PANESS and increased connectivity between the DMN and left lateral premotor cortex. DMN to left lateral premotor cortex connectivity was significantly correlated with the total PANESS score, with more atypical connectivity associated with more motor abnormalities. This suggests that altered functional connectivity of the brain may underlie subtle motor deficits in adolescents who have clinically recovered from concussion. More investigation is required to understand the persistence and longer-term clinical relevance of altered functional connectivity and associated subtle motor deficits to inform whether functional connectivity may serve as an important biomarker related to longer-term outcomes after clinical recovery from concussion.
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Affiliation(s)
- Jewel E. Crasta
- Occupational Therapy DivisionThe Ohio State UniversityColumbusOhioUSA
| | - Mary Beth Nebel
- Brain Injury Clinical Research CenterKennedy Krieger InstituteBaltimoreMarylandUSA
| | - Adrian Svingos
- Brain Injury Clinical Research CenterKennedy Krieger InstituteBaltimoreMarylandUSA
| | - Robert N. Tucker
- Brain Injury Clinical Research CenterKennedy Krieger InstituteBaltimoreMarylandUSA
- Carle Illinois College of MedicineUniversity of Illinois at Urbana‐ChampaignChampaignILUSA
| | - Hsuan Wei Chen
- Brain Injury Clinical Research CenterKennedy Krieger InstituteBaltimoreMarylandUSA
| | - Tyler Busch
- Brain Injury Clinical Research CenterKennedy Krieger InstituteBaltimoreMarylandUSA
| | - Brian S. Caffo
- Department of BiostatisticsJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Jaclyn Stephens
- Department of Occupational TherapyColorado State UniversityFort CollinsColoradoUSA
| | - Stacy J. Suskauer
- Brain Injury Clinical Research CenterKennedy Krieger InstituteBaltimoreMarylandUSA
- Department of Physical Medicine and RehabilitationJohns Hopkins University School of MedicineBaltimoreMarylandUSA
- Department of PediatricsJohns Hopkins University School of MedicineBaltimoreMarylandUSA
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11
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Sharma B, Obeid J, DeMatteo C, Noseworthy MD, Timmons BW. Exploring the relationship between resting state intra-network connectivity and accelerometer-measured physical activity in pediatric concussion: A cohort study. Appl Physiol Nutr Metab 2022; 47:1014-1022. [PMID: 35858484 DOI: 10.1139/apnm-2022-0085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Our objective was to explore the association between resting state functional connectivity and accelerometer-measured physical activity in pediatric concussion. Fourteen children with concussion (aged 14.54 ± 2.39 years, 8 female) were included in this secondary data analysis of a larger study. Participants had neuroimaging at 15.3 ± 6.7 days post-injury and subsequently a mean of 11.1 ± 5.0 days of accelerometer data. Intra-network connectivity of the default mode network (DMN), sensorimotor network (SMN), salience network (SN), and fronto-parietal network (FPN) was computed using resting state functional MRI. We found that per general linear models, only intra-network connectivity of the DMN was associated with physical activity levels. More specifically, increased intra-network connectivity of the DMN was significantly associated with higher levels of subsequent accelerometer-measured light physical activity (F(2, 11) = 7.053, p = 0.011, Ra2 = 0.562; β = 0.469), moderate physical activity (F(2, 11) = 7.053, p = 0.011, Ra2 = 0.562; β = 0.725), and vigorous physical activity (F(2, 11) = 10.855, p = 0.002, Ra2 = 0.664; β = 0.79). Intra-network connectivity of the DMN did not significantly predict sedentary time. Therefore, these preliminary findings suggest that there is a positive association between the intra-network connectivity of the DMN and device-measured physical activity in children with concussion.
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Affiliation(s)
- Bhanu Sharma
- McMaster University, 3710, Department of Pediatrics, Hamilton, Canada;
| | - Joyce Obeid
- McMaster University, Kinesiology, Hamilton, Ontario, Canada;
| | | | - Michael D Noseworthy
- McMaster University, Electrical and Computer Engineering, Hamilton, Ontario, Canada;
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12
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Machine Learning Classification of Mild Traumatic Brain Injury Using Whole-Brain Functional Activity: A Radiomics Analysis. DISEASE MARKERS 2021; 2021:3015238. [PMID: 34840627 PMCID: PMC8616658 DOI: 10.1155/2021/3015238] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 11/02/2021] [Indexed: 11/18/2022]
Abstract
Objectives To investigate the classification performance of support vector machine in mild traumatic brain injury (mTBI) from normal controls. Methods Twenty-four mTBI patients (15 males and 9 females; mean age, 38.88 ± 13.33 years) and 24 age and sex-matched normal controls (13 males and 11 females; mean age, 40.46 ± 11.4 years) underwent resting-state functional MRI examination. Seven imaging parameters, including amplitude of low-frequency fluctuation (ALFF), fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), degree centrality (DC), voxel-mirrored homotopic connectivity (VMHC), long-range functional connectivity density (FCD), and short-range FCD, were entered into the classification model to distinguish the mTBI from normal controls. Results The ability for any single imaging parameters to distinguish the two groups is lower than multiparameter combinations. The combination of ALFF, fALFF, DC, VMHC, and short-range FCD showed the best classification performance for distinguishing the two groups with optimal AUC value of 0.778, accuracy rate of 81.11%, sensitivity of 88%, and specificity of 75%. The brain regions with the highest contributions to this classification mainly include bilateral cerebellum, left orbitofrontal cortex, left cuneus, left temporal pole, right inferior occipital cortex, bilateral parietal lobe, and left supplementary motor area. Conclusions Multiparameter combinations could improve the classification performance of mTBI from normal controls by using the brain regions associated with emotion and cognition.
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Dawson J, Reed N, Bauman S, Seguin R, Zemek R. Diagnosing and managing paediatric concussion: Key recommendations for general paediatricians and family doctors. Paediatr Child Health 2021; 26:402-407. [PMID: 34777657 DOI: 10.1093/pch/pxab024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 03/26/2021] [Indexed: 01/31/2023] Open
Abstract
Concussion in children and adolescents is an important health concern. Most paediatric patients fully recover in 1 month or less following an acute concussion. However, some experience prolonged or persistent concussion symptoms for months. Those with prolonged post-concussion-related symptoms may have impaired quality of life, and limited involvement in social, academic, and physical activities with associated mental health implications. In this review, we share key updated clinical recommendations from the Living Guideline for Diagnosing and Managing Pediatric Concussion that will improve the way general paediatricians and family doctors diagnose and manage paediatric patients with suspected concussion.
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Affiliation(s)
- Jennifer Dawson
- Children's Hospital of Eastern Ontario Research Institute (CHEO-RI), Ottawa, Ontario, Canada
| | - Nick Reed
- Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, Ontario, Canada
| | - Shannon Bauman
- Concussion North, Royal Victoria Hospital, Barrie, Ontario, Canada.,Department of Family & Community Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Ryan Seguin
- Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Roger Zemek
- Children's Hospital of Eastern Ontario Research Institute (CHEO-RI), Ottawa, Ontario, Canada.,Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
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Shapiro JS, Takagi M, Silk T, Anderson N, Clarke C, Davis GA, Hearps SJ, Ignjatovic V, Rausa V, Seal ML, Babl FE, Anderson V. 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 2021; 38:2384-2390. [PMID: 33823646 PMCID: PMC8881952 DOI: 10.1089/neu.2021.0069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Susceptibility weighted imaging (SWI) and resting state functional magnetic resonance imaging have been highlighted as two novel neuroimaging modalities that have been underutilized when attempting to predict whether a child with concussion will recover normally or have a delayed recovery course. This study aimed to investigate whether there was a difference between children who recover normally from a concussion and children with delayed recovery in terms of SWI lesion burden and resting state network makeup. Forty-one children who presented to the emergency department of a tertiary level pediatric hospital with concussion participated in this study as a part of a larger prospective, longitudinal observational cohort study into concussion assessment and recovery. Children underwent neuroimaging 2 weeks post-injury and were classified as either normally recovering (n = 27), or delayed recovering (n = 14) based on their post-concussion symptoms at 2 weeks post-injury. No participants showed lesions detected using SWI; therefore, no group differences could be assessed. No between-group resting state network differences were uncovered using dual regression analysis. These findings, alongside previously published work, suggest that potential causes of delayed recovery from concussion may not be found using current neuroimaging paradigms.
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Affiliation(s)
- Jesse S. Shapiro
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia
- Monash School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Michael Takagi
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia
- Monash School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Tim Silk
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- School of Psychology, Deakin University, Melbourne, Victoria, Australia
- Department of Pediatrics, University of Melbourne, Victoria, Australia
| | - Nicholas Anderson
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Cathriona Clarke
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Gavin A. Davis
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | | | - Vera Ignjatovic
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Pediatrics, University of Melbourne, Victoria, Australia
| | - Vanessa Rausa
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Marc L. Seal
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Pediatrics, University of Melbourne, Victoria, Australia
| | - Franz E. Babl
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Pediatrics, University of Melbourne, Victoria, Australia
- Emergency Department, Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Vicki Anderson
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia
- Department of Pediatrics, University of Melbourne, Victoria, Australia
- Psychology Service, Royal Children's Hospital, Melbourne, Victoria, Australia
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