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Obenaus A, Noarbe BP, Lee JB, Panchenko PE, Noarbe SD, Lee YC, Badaut J. Progressive lifespan modifications in the corpus callosum following a single juvenile concussion in male mice monitored by diffusion MRI. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.21.572925. [PMID: 38187748 PMCID: PMC10769374 DOI: 10.1101/2023.12.21.572925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Introduction The sensitivity of white matter (WM) in acute and chronic moderate-severe traumatic brain injury (TBI) has been established. In concussion syndromes, particularly in preclinical rodent models, there is lacking a comprehensive longitudinal study spanning the lifespan of the mouse. We previously reported early modifications to WM using clinically relevant neuroimaging and histological measures in a model of juvenile concussion at one month post injury (mpi) who then exhibited cognitive deficits at 12mpi. For the first time, we assess corpus callosum (CC) integrity across the lifespan after a single juvenile concussion utilizing diffusion MRI (dMRI). Methods C57Bl/6 mice were exposed to sham or two severities of closed-head concussion (Grade 1, G1, speed 2 m/sec, depth 1mm; Grade 2, G2, 3m/sec, 3mm) using an electromagnetic impactor at postnatal day 17. In vivo diffusion tensor imaging was conducted at 1, 3, 6, 12 and 18 mpi (21 directions, b=2000 mm2/sec) and processed for dMRI parametric maps: fractional anisotropy (FA), axial (AxD), radial (RD) and mean diffusivity (MD). Whole CC and regional CC data were extracted. To identify the biological basis of altered dMRI metrics, astrocyte and microglia in the CC were characterized at 1 and 12 mpi by immunohistochemistry. Results Whole CC analysis revealed altered FA and RD trajectories following juvenile concussion. Shams exhibited a temporally linear increase in FA with age while G1/G2 mice had plateaued FA values. G2 concussed mice exhibited high variance of dMRI metrics at 12mpi, which was attributed to the heterogeneity of TBI on the anterior CC. Regional analysis of dMRI metrics at the impact site unveiled significant differences between G2 and sham mice. The dMRI findings appear to be driven, in part, by loss of astrocyte process lengths and increased circularity and decreased cell span ratios in microglia. Conclusion For the first time, we demonstrate progressive perturbations to WM of male mice after a single juvenile concussion across the mouse lifespan. The CC alterations were dependent on concussion severity with elevated sensitivity in the anterior CC that was related to astrocyte and microglial morphology. Our findings suggest that long-term monitoring of children with juvenile concussive episodes using dMRI is warranted, focusing on vulnerable WM tracts.
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Affiliation(s)
- Andre Obenaus
- Department of Pediatrics, School of Medicine, University of California Irvine, Irvine, CA, USA
| | - Brenda P. Noarbe
- Department of Pediatrics, School of Medicine, University of California Irvine, Irvine, CA, USA
| | - Jeong Bin Lee
- Basic Science Department, Loma Linda University School of Medicine, Loma Linda, CA, US
| | | | - Sean D. Noarbe
- Department of Pediatrics, School of Medicine, University of California Irvine, Irvine, CA, USA
| | - Yu Chiao Lee
- Department of Pediatrics, School of Medicine, University of California Irvine, Irvine, CA, USA
| | - Jerome Badaut
- CNRS UMR 5536 RMSB-University of Bordeaux, Bordeaux, France
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Danielli E, Simard N, DeMatteo CA, Kumbhare D, Ulmer S, Noseworthy MD. A review of brain regions and associated post-concussion symptoms. Front Neurol 2023; 14:1136367. [PMID: 37602240 PMCID: PMC10435092 DOI: 10.3389/fneur.2023.1136367] [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: 01/03/2023] [Accepted: 07/12/2023] [Indexed: 08/22/2023] Open
Abstract
The human brain is an exceptionally complex organ that is comprised of billions of neurons. Therefore, when a traumatic event such as a concussion occurs, somatic, cognitive, behavioral, and sleep impairments are the common outcome. Each concussion is unique in the sense that the magnitude of biomechanical forces and the direction, rotation, and source of those forces are different for each concussive event. This helps to explain the unpredictable nature of post-concussion symptoms that can arise and resolve. The purpose of this narrative review is to connect the anatomical location, healthy function, and associated post-concussion symptoms of some major cerebral gray and white matter brain regions and the cerebellum. As a non-exhaustive description of post-concussion symptoms nor comprehensive inclusion of all brain regions, we have aimed to amalgamate the research performed for specific brain regions into a single article to clarify and enhance clinical and research concussion assessment. The current status of concussion diagnosis is highly subjective and primarily based on self-report of symptoms, so this review may be able to provide a connection between brain anatomy and the clinical presentation of concussions to enhance medical imaging assessments. By explaining anatomical relevance in terms of clinical concussion symptom presentation, an increased understanding of concussions may also be achieved to improve concussion recognition and diagnosis.
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Affiliation(s)
- Ethan Danielli
- School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada
- Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
- KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | - Nicholas Simard
- Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
- Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada
| | - Carol A. DeMatteo
- ARiEAL Research Centre, McMaster University, Hamilton, ON, Canada
- Department of Rehabilitation Sciences, McMaster University, Hamilton, ON, Canada
| | - Dinesh Kumbhare
- School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada
- Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
- KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
- Division of Physical Medicine and Rehabilitation, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Stephan Ulmer
- Neurorad.ch, Zurich, Switzerland
- Department of Radiology and Neuroradiology, University Hospital of Schleswig-Holstein, Kiel, Germany
| | - Michael D. Noseworthy
- School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada
- Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
- Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada
- ARiEAL Research Centre, McMaster University, Hamilton, ON, Canada
- Department of Radiology, McMaster University, Hamilton, ON, Canada
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