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Conditioned Contextual Freezing is A Neurobehavioral Biomarker of Axonal Injury Indicated by Reduced Fractional Anisotropy in A Mouse Model of Blast-Induced Mild Traumatic Brain Injury. Shock 2021; 53:744-753. [PMID: 31689268 DOI: 10.1097/shk.0000000000001424] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Mild traumatic brain injury (TBI) is an important public health problem generated by closed head injury. This study is focused on the impact of blast-induced mild TBI on auditory trace and delay fear conditioning, models of declarative and non-declarative memory, respectively, and the correlation of conditioned freezing and fractional anisotropy, a measure of axonal state. A supersonic helium pressure wave was generated by a shock tube to blast 8-week-old male mice on Day 1 for 1.4 msec with an incident pressure of 16 psi, corresponding to a reflected pressure of 56.9 psi at the mouse head. On Day 3, the mice were subjected to auditory trace- or delay-fear conditioning. On Day 4, contextual freezing in the trained context, and precue and cued freezing in a novel context were determined. After cardiac perfusion on Day 5, ex vivo images were obtained with diffusion tensor imaging at 14.1 Tesla. We observed that delay fear conditioning prevented or reversed the decrease in fractional anisotropy in both the medial and lateral corpus callosum suggesting axonal stabilization of potentially behavioral therapeutic significance. Moderately strong and statistically significant Pearson correlations were found between fractional anisotropy and contextual freezing in the medial and lateral corpus callosum of blasted and sham-blasted delay- or trace-fear conditioned mice. Thus, contextual freezing is a neurobehavioral biomarker for axonal injury in mild TBI and is a reliable and high-throughput behavioral assay for the evaluation of potential therapeutics to treat mild TBI.
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Bigler ED. Structural neuroimaging in sport-related concussion. Int J Psychophysiol 2018; 132:105-123. [DOI: 10.1016/j.ijpsycho.2017.09.006] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Revised: 09/03/2017] [Accepted: 09/07/2017] [Indexed: 10/18/2022]
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Haber M, James J, Kim J, Sangobowale M, Irizarry R, Ho J, Nikulina E, Grin'kina NM, Ramadani A, Hartman I, Bergold PJ. Minocycline plus N-acteylcysteine induces remyelination, synergistically protects oligodendrocytes and modifies neuroinflammation in a rat model of mild traumatic brain injury. J Cereb Blood Flow Metab 2018; 38:1312-1326. [PMID: 28685618 PMCID: PMC6092769 DOI: 10.1177/0271678x17718106] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Mild traumatic brain injury afflicts over 2 million people annually and little can be done for the underlying injury. The Food and Drug Administration-approved drugs Minocycline plus N-acetylcysteine (MINO plus NAC) synergistically improved cognition and memory in a rat mild controlled cortical impact (mCCI) model of traumatic brain injury.3 The underlying cellular and molecular mechanisms of the drug combination are unknown. This study addressed the effect of the drug combination on white matter damage and neuroinflammation after mCCI. Brain tissue from mCCI rats given either sham-injury, saline, MINO alone, NAC alone, or MINO plus NAC was investigated via histology and qPCR at four time points (2, 4, 7, and 14 days post-injury) for markers of white matter damage and neuroinflammation. MINO plus NAC synergistically protected resident oligodendrocytes and decreased the number of oligodendrocyte precursor cells. Activation of microglia/macrophages (MP/MG) was synergistically increased in white matter two days post-injury after MINO plus NAC treatment. Patterns of M1 and M2 MP/MG were also altered after treatment. The modulation of neuroinflammation is a potential mechanism to promote remyelination and improve cognition and memory. These data also provide new and important insights into how drug treatments can induce repair after traumatic brain injury.
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Affiliation(s)
- Margalit Haber
- Department of Physiology and Pharmacology, Robert F. Furchgott Center for Neural and Behavioral Science, SUNY-Downstate Medical Center, NY, USA
| | - Jessica James
- Department of Physiology and Pharmacology, Robert F. Furchgott Center for Neural and Behavioral Science, SUNY-Downstate Medical Center, NY, USA
| | - Justine Kim
- Department of Physiology and Pharmacology, Robert F. Furchgott Center for Neural and Behavioral Science, SUNY-Downstate Medical Center, NY, USA
| | - Michael Sangobowale
- Department of Physiology and Pharmacology, Robert F. Furchgott Center for Neural and Behavioral Science, SUNY-Downstate Medical Center, NY, USA
| | - Rachel Irizarry
- Department of Physiology and Pharmacology, Robert F. Furchgott Center for Neural and Behavioral Science, SUNY-Downstate Medical Center, NY, USA
| | - Johnson Ho
- Department of Physiology and Pharmacology, Robert F. Furchgott Center for Neural and Behavioral Science, SUNY-Downstate Medical Center, NY, USA
| | - Elena Nikulina
- Department of Physiology and Pharmacology, Robert F. Furchgott Center for Neural and Behavioral Science, SUNY-Downstate Medical Center, NY, USA
| | - Natalia M Grin'kina
- Department of Physiology and Pharmacology, Robert F. Furchgott Center for Neural and Behavioral Science, SUNY-Downstate Medical Center, NY, USA
| | - Albana Ramadani
- Department of Physiology and Pharmacology, Robert F. Furchgott Center for Neural and Behavioral Science, SUNY-Downstate Medical Center, NY, USA
| | - Isabella Hartman
- Department of Physiology and Pharmacology, Robert F. Furchgott Center for Neural and Behavioral Science, SUNY-Downstate Medical Center, NY, USA
| | - Peter J Bergold
- Department of Physiology and Pharmacology, Robert F. Furchgott Center for Neural and Behavioral Science, SUNY-Downstate Medical Center, NY, USA
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Callosal injury-induced working memory impairment: a computational network modeling study. Neuroreport 2017; 28:865-871. [PMID: 28737583 DOI: 10.1097/wnr.0000000000000842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Mild traumatic brain injury (mTBI) often results in working memory (WM) impairment, but the mechanistic relationship between the two remains elusive. We used a computational model of two cortical neuronal networks linked by myelinated callosal axons with distance-dependent conduction delays to simulate callosal dysfunction in mTBI and quantify its impact on WM. WM maintenance and termination in the model network depended on short-term synaptic plasticity. In injured networks, WM duration depended on the extent of callosal injury, consistent with clinical data. The model provides a framework for studying callosal injury-induced neurobehavioral alterations following mTBI, and, to the best of our knowledge, is the first computational model to address mTBI-induced WM impairment.
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Ng LJ, Volman V, Gibbons MM, Phohomsiri P, Cui J, Swenson DJ, Stuhmiller JH. A Mechanistic End-to-End Concussion Model That Translates Head Kinematics to Neurologic Injury. Front Neurol 2017; 8:269. [PMID: 28663736 PMCID: PMC5471336 DOI: 10.3389/fneur.2017.00269] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Accepted: 05/26/2017] [Indexed: 11/13/2022] Open
Abstract
Past concussion studies have focused on understanding the injury processes occurring on discrete length scales (e.g., tissue-level stresses and strains, cell-level stresses and strains, or injury-induced cellular pathology). A comprehensive approach that connects all length scales and relates measurable macroscopic parameters to neurological outcomes is the first step toward rationally unraveling the complexity of this multi-scale system, for better guidance of future research. This paper describes the development of the first quantitative end-to-end (E2E) multi-scale model that links gross head motion to neurological injury by integrating fundamental elements of tissue and cellular mechanical response with axonal dysfunction. The model quantifies axonal stretch (i.e., tension) injury in the corpus callosum, with axonal functionality parameterized in terms of axonal signaling. An internal injury correlate is obtained by calculating a neurological injury measure (the average reduction in the axonal signal amplitude) over the corpus callosum. By using a neurologically based quantity rather than externally measured head kinematics, the E2E model is able to unify concussion data across a range of exposure conditions and species with greater sensitivity and specificity than correlates based on external measures. In addition, this model quantitatively links injury of the corpus callosum to observed specific neurobehavioral outcomes that reflect clinical measures of mild traumatic brain injury. This comprehensive modeling framework provides a basis for the systematic improvement and expansion of this mechanistic-based understanding, including widening the range of neurological injury estimation, improving concussion risk correlates, guiding the design of protective equipment, and setting safety standards.
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Affiliation(s)
- Laurel J Ng
- Simulation Engineering and Testing, L-3 Applied Technologies, Inc., San Diego, CA, United States
| | - Vladislav Volman
- Simulation Engineering and Testing, L-3 Applied Technologies, Inc., San Diego, CA, United States
| | - Melissa M Gibbons
- Simulation Engineering and Testing, L-3 Applied Technologies, Inc., San Diego, CA, United States
| | - Pi Phohomsiri
- Simulation Engineering and Testing, L-3 Applied Technologies, Inc., San Diego, CA, United States
| | - Jianxia Cui
- Simulation Engineering and Testing, L-3 Applied Technologies, Inc., San Diego, CA, United States
| | - Darrell J Swenson
- Cardiac Rhythm and Heart Failure Numerical Modeling, Medtronic, Mounds View, MN, United States
| | - James H Stuhmiller
- Simulation Engineering and Testing, L-3 Applied Technologies, Inc., San Diego, CA, United States
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