A subscription to JoVE is required to view this content. Sign in or start your free trial.

Summary

Here, it is demonstrated how an awake closed-head injury model can be used for examining the effects of repeated mild traumatic brain injury (r-mTBI) on synaptic plasticity in the hippocampus. The model replicates important features of r-mTBI in patients and is used in conjunction with in vitro electrophysiology.

Abstract

Mild traumatic brain injuries (mTBIs) are a prevalent health issue in North America. There is increasing pressure to utilize ecologically valid models of closed-head mTBI in the preclinical setting to increase translatability to the clinical population. The awake closed-headed injury (ACHI) model uses a modified controlled cortical impactor to deliver closed-headed injury, inducing clinically relevant behavioral deficits without the need for a craniotomy or the use of an anesthetic.

This technique does not normally induce fatalities, skull fractures, or brain bleeds, and is more consistent with being a mild injury. Indeed, the mild nature of the ACHI procedure makes it ideal for studies investigating repetitive mTBI (r-mTBI). Growing evidence indicates that r-mTBI can result in a cumulative injury that produces behavioral symptoms, neuropathological changes, and neurodegeneration. r-mTBI is common in youths playing sports, and these injuries occur during a period of robust synaptic reorganization and myelination, making the younger population particularly vulnerable to the long-term influences of r-mTBI.

Further, r-mTBI occurs in cases of intimate partner violence, a condition for which there are few objective screening measures. In these experiments, synaptic function was assessed in the hippocampus in juvenile rats that had experienced r-mTBI using the ACHI model. Following the injuries, a tissue slicer was utilized to make hippocampal slices to evaluate bidirectional synaptic plasticity in the hippocampus at either 1 or 7 days following the r-mTBI. Overall, the ACHI model provides researchers with an ecologically valid model to study changes in synaptic plasticity following mTBI and r-mTBI.

Introduction

Traumatic brain injury (TBI) is a significant health issue, with ~2 million cases in Canada and the United States every year1,2. TBI affects all age groups and genders and has an incidence rate greater than any other disease, notably including breast cancer, AIDS, Parkinson's disease, and multiple sclerosis3. Despite the prevalence of TBI, its pathophysiology remains poorly understood, and treatment options are limited. In part, this is because 85% of all TBIs are classified as mild (mTBI), and mTBI has previously been thought to produce only limited and transient behavioral changes with no long-term neuropsychiatric consequences4,5. It is now recognized that mTBI recovery can take weeks to years5,6, precipitate more serious neurological conditions4, and that even repeated "sub-concussive" impacts affect the brain7. This is alarming as athletes in sports such as hockey/football have >10 head sub-concussive impacts per game/practice session7,8,9,10.

Adolescents have the highest incidence of mTBI, and in Canada, roughly one in 10 teens will seek medical care for a sport-related concussion annually11,12. In reality, any sub-concussive head impact or mTBI can cause diffuse damage to the brain, and this could also create a more vulnerable state for subsequent injuries and/or more serious neurological conditions13,14,15,16,17. In Canada, it is recognized legally via Rowan's law that prior injury can increase the vulnerability of the brain to further injury18, but mechanistic understanding of r-mTBI remains woefully inadequate. It is clear, however, that single and r-mTBI can impact learning capacity during school years19,20, have sex-specific outcomes21,22,23,24, and impair cognitive capacity later in life16,25,26. Indeed, cohort analyses strongly associate r-mTBI early in life with dementia later on27,28. r-mTBI is also potentially associated with chronic traumatic encephalopathy (CTE), which is characterized by the accumulation of hyperphosphorylated tau protein and progressive cortical atrophy and precipitated by significant inflammation27,29,30,31. Although the links between r-mTBI and CTE are currently controversial32, this model will allow them to be explored in greater detail in a preclinical setting.

An mTBI is often described as an "unseen injury," as it occurs within a closed skull and is difficult to detect even with modern imaging techniques33,34. An accurate experimental model of mTBI should adhere to two tenets. First, it should recapitulate the biomechanical forces normally observed in the clinical population35. Second, the model should induce heterogeneous behavioral outcomes, something that is also highly prevalent in clinical populations36,37,38. Currently, the majority of preclinical models tend to be more severe, involving craniotomy, stereotaxic head restraint, anesthesia, and controlled cortical impacts (CCI) that produce significant structural damage and more extensive behavioral deficits than normally observed clinically33. Another concern with many preclinical models of concussion that involve craniotomies is that this procedure itself creates inflammation in the brain, and this can exacerbate mTBI symptoms and neuropathology from any subsequent injury39,40. Anesthesia also introduces several complex confounds, including reducing inflammation41,42,43, modulating microglial function44, glutamate release45, Ca2+ entry through NMDA receptors46, intracranial pressure, and cerebral metabolism47. Anesthesia further introduces confounds by increasing blood-brain barrier (BBB) permeability, tau hyperphosphorylation, and corticosteroid levels, while reducing cognitive function48,49,50,51. Additionally, diffuse, closed-headed injuries represent the vast majority of clinical mTBIs52. They also allow one to better study the multitude of factors that can influence behavioral outcomes, including sex21, age53, inter-injury-interval15, severity54, and the number of injuries23.

The direction of the accelerative/decelerative forces (vertical or horizontal) is also an important consideration for behavioral and molecular outcomes. Research from Mychasiuk and colleagues have compared two models of diffuse closed-headed mTBI: weight-drop (vertical forces) and lateral impact (horizontal forces)55. Both the behavioral and molecular analyses revealed heterogeneous model- and sex-dependent outcomes following mTBI. Thus, animal models that help avoid surgical procedures, while incorporating linear and rotational forces, are more representative of the physiological conditions under which these injuries normally occur33,56. The ACHI model was created in response to this need, allowing for the rapid and reproducible induction of mTBI in rats while avoiding procedures (i.e., anesthesia) that are known to bias sex differences57.

Protocol

Approval for all animal procedures was provided by the University of Victoria Animal Care Committee in compliance with Canadian Council on Animal Care (CCAC) standards. All male Long-Evans rats were bred in-house or purchased (see the Table of Materials).

1. Housing and breeding conditions

  1. Allow the animals to acclimate to their housing environment for 1 week before weaning at postnatal day (PND) 21.
  2. Maintain the rats in standard cage housing at 22.5 °C ± 2.5 °C, with ad libitum access to food and water, on a 12 h light/dark cycle.
  3. Group and house the animals with two or three sex-matched littermates and randomly assign them to either sham or r-mTBI conditions.
  4. Perform all procedures between 7:30 AM and 11:30 PM.

2. Setup of awake closed-head injury procedure

  1. Position a 2.75 in. low-density foam pad (100 cm x 15 cm x 7 cm) underneath the impactor to allow for rotational head movement.
    NOTE: The foam pad had a spring constant of ~2,500 N/m but can vary between 3,100 and 5,600 N/m58. The level of firmness (low, medium, and high) has not shown to be predictive of injury outcome59. The foam pad is a non-consumable material. It is normally replaced yearly or if soiled or damaged.
  2. Turn on the modified cortical impact device (Figure 1A), and set the velocity to 6 m/s.
    ​NOTE: These specifications are designed to elicit acute neurological impairment in juvenile and adolescent aged rats that are analogous to features of an mTBI, but such parameters may not be suitable for older animals or other species (e.g., mice or ferrets). For a review of common ACHI parameters, see60.

3. Induction of mTBI

  1. When the rats reach PND 24, move them into the procedure room where the procedures will be performed. Ensure this room is separate from their normal housing environment.
  2. Gently place the rat in a restraint cone, ensuring that the snout and nostrils are close to the cone's small opening to allow for adequate ventilation. Use a plastic hair clip to hold the cone closed at the caudal end to prevent movement once the rat is placed in the restraint cone.
    1. Use restraint scores to record the animals' compliance or tolerance with the restraint cone and ACHI procedure.
      NOTE: The restraint score can be used as an assessment of stress in the animals. Thus, exclusion criteria can be developed using the restraint score to reduce variability between subjects that arises due to an excessive stress response.
      1. Give a score from 0 to 4 based on the animal's willingness to enter the cone, their movements, and vocalizations. Give a score of 0 if there is no resistance to the restraint, while a score of 1 corresponds with the animal turning 1-2x and little-to-no vocalization or squirming. Give a score of 2 if the animal has turned 2-3x and exhibits some vocalization or squirming. Give a restraint score of 3 if the animal has turned 5-10x and exhibits more vocalizations and squirming. Finally, give a score of 4 if the animal has turned more than 10x with frequent vocalizations and squirming.
        NOTE: This information is also on the scoring sheet itself (Supplementary Table S1 and Supplementary Table S2).
  3. While the rat is restrained, manually position the helmet (Figure 1B) over the midline, with the targeting disk over the left parietal lobe (Figure 1C,D).
  4. Place the rat on the foam pad and manually set the impactor to the Extend position. Manually lower the impactor tip so that it comes in contact with the targeting disk on the helmet. Manually set the impactor to the Retract position to make the impactor withdraw 10 mm above the helmet.
  5. Use the dial on the stereotaxic arm to lower the impact tip by 10 mm so that it is again touching the targeting disk on the helmet. Flip the Impact switch so that the animal's head is rapidly accelerated for 10 mm at 6 m/s.
  6. Once the device has been activated, immediately remove the animal from the restraint cone and proceed to perform an immediate neurological assessment protocol (NAP).
    ​NOTE: For the current experiments, this protocol was repeated eight times in total at 2 h intervals.

4. Induction of sham injury

  1. Follow all experimental procedures as described above in section 3 but place the rat adjacent to the path of the impact piston, so no injury is delivered.

5. Neurological assessment protocol

NOTE: The NAP can be used to measure the level of consciousness, as well as cognitive and sensorimotor functioning.

  1. At baseline and immediately following induction of the mTBI or sham injury, assess the rats using the NAP as described in56,61. On a table, place the rats' home cage and a recovery cage spaced 100 cm apart. Evenly center the balance beam on top of both cages. Additionally, place a folded towel or additional cushioning underneath the balance beam.
  2. If required, assess the level of consciousness. If animals are non-responsive after the mTBI, assess the apnea (cessation of breathing) and any delay in the righting reflex by using a stopwatch to record the time taken for the animal to resume breathing and/or right themselves from a supine into the prone position.
    NOTE: Loss of righting reflex and apnea are rare with the ACHI model but they can occasionally be observed in juvenile animals.
  3. Assess the rat's cognitive and sensorimotor function using the following sequence of tests. Administer these tests rapidly in succession following the assessment of consciousness.
    NOTE: The summation of these four tests yields a total score out of 12, if there are no observed behavioral deficits. Deficits detract from this score.
    1. Startle response
      1. Place the rat in the empty recovery cage and clap loudly (50 cm) over the cage. Record the animal's response to the noise using the following scoring system:
        3 = Quick startle reaction to sound (e.g., ear movement/twitches, jump, whole body freezes).
        2 = Slow reaction or slight freezing reaction to sound.
        1 = Only ear movements observed.
        0 = No reaction to sound.
    2. Limb extension
      1. With the beam (100 cm long x 2 cm wide x 0.75 cm thick) placed horizontally across the rat's home and recovery cages, pick up the rat by the base of the tail and hold it near the beam. Ensure the rat is close enough to be able to easily grasp it. Assess the rat's ability to extend both limbs out to the beam with the following scoring system:
        3 = Full extension of both forelimbs and grasps the beam.
        2 = Only one limb is extended.
        1 = Intermittent extension or retraction of forelimbs.
        0 = Forelimbs are limp/no extension.
    3. Beam walk
      1. Place the animal in the center of the horizontal beam at the 50 cm mark facing its home cage. Ensure the beam is spaced equally between the rat's home cage and recovery cage (placed ~80 cm apart). Allow the rat to walk across the beam. Assess the rat's ability to balance and walk with the following scoring system:
        3 = Successfully walks across the beam with less than two foot slips within 10 s.
        2 = Successfully walks the beam, but more than two foot slips are observed.
        1 = Non-locomotive movement, 'swimming' motion.
        0 = Unable to walk along the beam or unable to move within 10 s.
    4. Rotating beam
      1. Reposition the rat at the center of the beam, ensuring the rat is balanced. Lift the beam 80 cm above a towel or padded surface and begin manually rotating the beam at a rate of one rotation per second for 4 s (a total of four rotations). Assess the rat's ability to remain on the beam as it rotates with the following scoring system:
        3 = Rat remains on the beam for all four rotations.
        2 = Rat falls on the fourth rotation.
        1 = Rat falls on the second or third rotation.
        0 = Rat falls during the first rotation.
  4. Upon completion of NAP, return mTBI and sham rats to their home cages. Repeat as necessary for r-mTBI procedures. Monitor the well-being of the animals following injuries with the Cage-side Monitoring Checklist (Supplementary File 1). If there is any indication of abnormality (any score that is not N) during cage-side monitoring, a full pain score should be taken with the Pain Scale and Advanced Monitoring Checklist after Head Impact (Supplementary File 2).

6. Slice preparation

NOTE: In the current study, synaptic plasticity was assessed in animals following r-mTBI at either 1 or 7 days after mTBI. On these days, the animals were brought individually into the laboratory in covered cages prior to sacrifice.

  1. Refrigerate (-20 °C) overnight all surgical tools (Figure 2A) required for making hippocampal slices: standard scissors, dissecting scissors, forceps, rongeurs, spatulas, and chilling block.
    NOTE: The tissue glue and incubation chamber should not be refrigerated.
  2. Prepare artificial cerebrospinal fluid (aCSF) containing 125 mM NaCl, 2.5 mM KCl, 1.25 mM NaHPO4, 25 mM NaHCO3, 2 mM CaCl2, 1.3 mM MgCl2, and 10 mM dextrose (300 ± 10 mOsm; pH 7.2-7.4).
    NOTE: The main solution of aCSF must be continuously bubbled with carbogen (95% O2/5% CO2) for the duration of the protocol.
  3. Before euthanizing the animal (step 6.8), prepare 12.5 mL of agarose. Dissolve 0.25 g of agarose in 12.5 mL of phosphate-buffered saline (1x PBS) by microwaving in a 50 mL conical tube in 10 s increments.
  4. Keep the agarose warm (42 °C) and shake in a heating plate to prevent it from solidifying.
  5. Set up a cutting station on ice, including a Petri dish and a small beaker (50 mL) filled with ice-cold aCSF (4 °C) and an overturned Petri dish with a piece of wetted filter paper on top (Figure 2A). Continuously bubble the aCSF in the small beaker with carbogen.
  6. Warm the water bath to 32 °C. Fill the recovery chamber with aCSF and continuously bubble with carbogen (Figure 2B).
  7. Transport the animal to the experimental room.
  8. Anesthetize the animal using 5% isoflurane as an inhalant (until lack of a withdrawal reflex) and then rapidly decapitate it using a small guillotine.
  9. Dissect the brain from the skull in the Petri dish filled with ice-cold (4 °C) aCSF, holding the skull submerged in the aCSF to help rapidly cool the tissue.
    NOTE: This procedure normally requires under 5 min, but the speed of brain removal is not a critical factor if the brain is submerged in chilled aCSF.
  10. Place the brain into the small beaker of chilled and carbogenated aCSF to further clean and chill the sample.
  11. Move the brain to the upside-down Petri dish and place it on the filter paper. Use a sharp scalpel to remove the cerebellum and prefrontal cortex to "block" the brain. Separate the two hemispheres by making a cut down the midline of the brain.
    NOTE: The following protocol is performed one hemisphere at a time. It is imperative that the hemisphere not currently being prepared remains submerged in the beaker of ice-cold (4 °C) carbogenated aCSF.
  12. To create transverse hippocampal slices, place the hemisphere on the medial surface. Tilt the blade of a scalpel at ~30° inward and remove a thin slice from the dorsal surface of the brain to provide a flat surface for the brain to be mounted on the piston used by the slicer. Flip the brain onto the dorsal surface and gently dab the tissue on dry filter paper to remove any excess aCSF. Using cyanoacrylate glue, attach the dorsal surface of the brain to the piston, leaving the ventral surface upright.
    NOTE: Ensure that the glue does not run over the edge of the piston, as this will cause it to adhere to the metal tube used to contain the agarose and prevent movement of the piston.
  13. Extend the outer tube of the piston over the brain and pour the liquid agarose into the tube until the brain is completely covered. Quickly solidify the agarose by clamping a chilling block over the piston tube (Figure 2A).
  14. Position the piston into the chamber of the slicer and secure the chamber with a screw. Secure the blade and add ice-cold, oxygenated aCSF to the slicer chamber.
  15. On the slicer (Figure 2B), set the cutting speed to 4, oscillation to 6, and toggle the continuous/single slicing switch to continuous. Push start to begin sectioning the brain at 400 µm.
  16. As the slicer sections the brain, use a large diameter Pasteur pipette to transfer each slice to the recovery bath of oxygenated aCSF as it is sectioned (Figure 2C).
    NOTE: As each slice is cut, it can be placed sequentially in the different wells of the recovery bath. This protocol usually yields between six and eight slices, containing the hippocampus for each hemisphere. A rat atlas62 can be used to identify the dorsal-ventral position of individual slices in the rat brain.
  17. Let the slices recover at 32 °C for 30 min and then leave to recover for an additional 30 min at room temperature (23 °C).
  18. Repeat these steps to create slices from the second hemisphere.

7. Field electrophysiology

NOTE: To acquire extracellular field recordings from the dentate gyrus (DG), perform the following steps. Following the 60 min recovery, individual hippocampal slices are ready for extracellular field recordings.

  1. Using a commercially available micropipette puller, pull recording electrodes (1-2 MΩ) from 10 cm borosilicate glass capillaries with an outer diameter of 1.5 mm and an inner diameter of 1.1 mm.
    NOTE: Recording electrode should have a resistance of ~1 MΩ and the tips should be ~1 mm in size. Consistency in electrode parameters is important for good recordings.
  2. Turn on the computer and equipment to be used for recordings: the amplifier, digitizer, stimulator, micromanipulator, temperature regulator, microscope light, and vacuum pump.
  3. Fill a beaker with aCSF and connect it to a gravity-controlled perfusion system. Open the aCSF valve on the perfusion system to begin a flow of aCSF through the perfusion chamber. Maintain a flow rate of approximately one or two drips/s or 2 mL/min. Continuously carbogenate aCSF for the duration of electrophysiological recordings.
    NOTE: It is imperative to maintain a constant drip rate of carbogenated aCSF during field recordings. It is also imperative that the reference electrode is completely submerged in aCSF.
  4. Use a Pasteur pipette to transfer a hippocampal slice from the recovery bath to the perfusion chamber that is continuously perfused with carbogenated aCSF and maintained at 30 ± 0.5 °C. Orientate the brain slice so that the dentate gyrus and granule cell layer are visible in the field of view. Stabilize the slice with bent wire weights. Start the computer software for data acquisition.
    NOTE: It can be helpful to turn off the vacuum pump during this step to allow for free manipulation of the tissue. This should be done quickly as too much manipulation can damage the tissue. Additionally, the perfusion chamber can overflow with aCSF if this takes too much time. Once the tissue is orientated properly and stabilized, turn on the vacuum pump.
  5. Use an upright microscope to visualize the DG with oblique optics. Position a concentric bipolar stimulating electrode to activate the medial perforant path (MPP) fibers in the middle third of the molecular layer. Then, position a glass micropipette, filled with aCSF in the MPP (Figure 3A,B). Begin with the electrodes further apart (i.e., the stimulating electrode near CA3 and the recording electrode just above the genu of the DG), as touching the tissue will cause damage to the fibers.
    NOTE: Optimally, all recordings should have the electrodes placed equidistant from the cell layer, approximately 200 μm apart.
  6. Once the stimulating and recording electrodes are positioned, visualize the evoked field responses using an amplifier, a digitizer, and recording software.
  7. To find a suitable field excitatory postsynaptic potential (fEPSP), stimulate the tissue with 0.12 ms current pulses at 0.2 Hz (every 5 s) when the user is proficient at finding responses, or at 0.067 Hz (every 15 s) for less proficient users to avoid overstimulation. Ensure that the fEPSP has a minimum amplitude of 0.7 mV with a clear fiber volley that is smaller than the fEPSP.
    NOTE: It is critical to position both electrodes equidistant from the cell layer to obtain maximal field responses and far enough apart (i.e., ~200 μm) to generate a small fiber volley. Small adjustments in electrode position may help enhance the amplitude of the response, although these should be kept to a minimum to avoid tissue damage.
  8. Determine the maximum fEPSP amplitude by increasing the stimulation intensity and then set the simulating intensity so that the fEPSP is at 70% of the maximum amplitude.
    NOTE: The maximum amplitude is set to 70% for long-term depression (LTD) studies and to 50% for long-term potentiation (LTP) studies. The maximum amplitude is determined by adjusting the stimulation strength until the fEPSP no longer increases in amplitude. For a fEPSP with a 2 mV maximum amplitude, the response size would then be adjusted to 1.4 mV for LTD studies and 1.0 mV for LTP studies, to allow room for the fEPSP to depress or potentiate (respectively).
  9. Establish a stable preconditioning baseline for 20 min with 0.12 ms pulses delivered at 0.067 Hz. For slices to be considered stable, look for <10% variability in the initial slope of the fEPSP and for the slope of the line of best fit through the plotted fEPSP slopes to be <0.5. Proceed with the next steps of the recording when EPSPs are verified to be stable for 20 min.
    NOTE: Various receptor antagonists can be added to the aCSF to block or enhance LTD and LTP. If they are required, ensure the slices are exposed to these pharmacological agents during this baseline period and that the requirements for stable recordings are met. For examples, see63,64,65.
  10. First, determine changes in basic synaptic properties by using paired-pulse stimuli and by constructing stimulus-response input-output curves. For the paired-pulse test, apply a series of paired pulses with an interpulse interval of 50 ms at 0.033 Hz. For the input-output curves, apply a series (10) of increasing stimulus intensities (0.0-0.24 ms) at 0.033 Hz to plot the fEPSP response size change.
  11. To study LTD that is primarily dependent on the activation of CB1 receptors64,66, employ a 10 Hz protocol (6,000 pulses at 10 Hz). This protocol takes 10 min to administer.
  12. For postconditioning recordings, resume using single-pulse stimulation (0.12 ms at a frequency of 0.067 Hz) for an additional 60 min.
  13. Following the postconditioning recording, again administer the paired-pulse stimuli, followed by an input-output curve. Compare these to baseline recordings to observe alterations in presynaptic release properties and help assess the health of the slice for long-term recordings.
  14. During analysis, be conservative and adhere to the exclusion criteria when determining if the data from individual slices should be retained in the synaptic plasticity data set. Exclude slices that display a large slope in a line of best fit of fEPSP slopes during the preconditioning baseline (slope >0.5), instability in preconditioning baseline (>10% change), and or instability in the postconditioning period (slope >1.5 in 50-60 min of postconditioning).

Results

The awake closed-head injury model is a viable method of inducing r-mTBI in juvenile rats. Rats exposed to r-mTBI with the ACHI model did not show overt behavioral deficits. Subjects in these experiments did not exhibit latency to right or apnea at any point during the r-mTBI procedure, indicating that this was indeed a mild TBI procedure. Subtle behavioral differences did emerge in the NAP; as described above, the rats were scored on four sensorimotor tasks (startle response, limb extension, beam walk, and rotating beam...

Discussion

Most preclinical research has utilized models of mTBI that do not recapitulate the biomechanical forces seen in the clinical population. Here, it is shown how the ACHI model can be used to induce r-mTBIs in juvenile rats. This closed-headed model of r-mTBI has significant advantages over more invasive procedures. First, the ACHI does not normally cause skull fractures, brain bleeds, or fatalities, all of which would be contraindications of a "mild" TBI in clinical populations61. Second, th...

Disclosures

The authors have no conflicts of interest to disclose.

Acknowledgements

We thank all the members of the Christie Laboratory at the University of Victoria, past and present, for their contributions to the development of this protocol. This project was supported with funds from the Canadian Institutes for Health Research (CIHR: FRN 175042) and NSERC (RGPIN-06104-2019). The Figure 1 skull graphic was created with BioRender.

Materials

NameCompanyCatalog NumberComments
3D-printed helment Designed and constructed by Christie laboratory (See Specifications in Christie et al. (2019), Current Protocols in Neuroscience) 
Agarose Fisher Scientific (BioReagents)BP160500
Anesthesia chamberHome MadeN/APlexiglass Container
Automatic Heater ControllerWarner ElectricTC-324B
Axon DigidataMolecular Devices1440ALow-noise Data Acquisition System
Balance beam Can be constructed or purchased (100 cm long x 2 cm wide x 0.75 cm thick)
Calcium ChlorideBio Basic Canada Inc. CD0050For aCSF
CameraDage MTINC-70
Carbogen tankPraxairMM OXCD5C-KCarbon Dioxide 5%, Oxygen 95%
Clampex SoftwareMolecular DevicesClampex 10.5 Version
Compresstome Vibrating MicrotomePrecisionaryVF 310-0Z
Concentric Bipolar ElectrodeFHC Inc.CBAPC75
Dextrose (D-Glucose)Fisher Scientific (Chemical)D16-3aCSF
Digital Stimulus Isolation Amplifier  Getting Instruments, Inc. Model 4D
Disodium PhosphateFisher Scientific (Chemical)S373-500PBS
Dissection Tools
Feather Double Edge BladeElectron Microscopy Sciences72002-10
Filter PaperWhatman 11001-055
Flaming/Brown Micropipette PullerSutter InstrumentP-1000
Hair Claw ClipCan be obtained from any department store
Home and Recovery CagesNormal rat cages from animal care unit.
Hum Bug Noise EliminatorQuest Scientific 726300
Isoflurane USPFresenius KabiCP0406V2
Isotemp 215 Digital Water BathFisher Scientific 15-462-15
Leica Impact One CCI unitLeica BiosystemsTip is modified to hold 7mm rubber impact tip
Long-Evans rats, maleCharles River Laboratories (St. Constant, PQ)
Low-Density Foam Pad3" polyurethane foam sheet 
Magnesium ChlorideFisher Scientific (Chemical)M33-500aCSF
Male Long Evans RatsCharles River LaboratoriesAnimals ordered from Charles River Laboratories, or pups bred at the University of Victoria
MultiClamp 700B AmplifierMolecular DevicesModel 700B
pH Test StripsVWR Chemicals BDHBDH83931.601
Potassium ChlorideFisher Scientific (Chemical)P217-500aCSF, PBS
Potassium PhosphateSigmaP9791-500GPBS
Push Button ControllerSiskiyou Corporation MC1000eFour-axis Closed Loop Controller Push-Button
Sample DiscsELITechGroupSS-033For use with Vapor Pressure Osmometer
Small towel
Sodium BicarbonateFisher Scientific (Chemical)S233-500aCSF
Sodium ChlorideFisher Scientific (Chemical)S271-3For aCSF, PBS
Sodium PhosphateFisher Scientific (Chemical)S369-500aCSF
Soft Plastic Restraint ConesBraintree Scientificmodel DC-200
StopwatchMany lab members use their iPhone for this
Table or large cart with raised edges For NAP and ACHI
Thin Wall Borosilicate Glass (with Filament)Sutter InstrumentBF150-110-10Outside diameter: 1.5 mm; Inside diameter: 1.10 mm; Length: 10 cm
Upright MicroscopeOlympusOlympus BX5OWI5x MPlan 0.10 NA Objective lens
Vapor Pressure OsmometerVaproModel 5600aCSF should be 300-310 mOSM
Vetbond Tissue Adhesive3M1469SB
Vibraplane Vibration Isolation TableKinetic Systems9101-01-45

References

  1. Fu, T. S., Jing, R., McFaull, S. R., Cusimano, M. D. Health & economic burden of traumatic brain injury in the emergency department. Canadian Journal of Neurological Sciences. 43 (2), 238-247 (2016).
  2. Chen, C., Peng, J., Sribnick, E., Zhu, M., Xiang, H. Trend of age-adjusted rates of pediatric traumatic brain injury in US emergency departments from 2006 to 2013. International journal of environmental research and public health. 15 (6), 1171 (2018).
  3. Prins, M., Greco, T., Alexander, D., Giza, C. C. The pathophysiology of traumatic brain injury at a glance. Disease Models & Mechanisms. 6 (6), 1307-1315 (2013).
  4. Mayer, A. R., Quinn, D. K., Master, C. L. The spectrum of mild traumatic brain injury: a review. Neurology. 89 (6), 623-632 (2017).
  5. Kara, S., et al. Less than half of patients recover within 2 weeks of injury after a sports-related mild traumatic brain injury: a 2-year prospective study. Clinical Journal of Sport Medicine. 30 (2), 96-101 (2020).
  6. Chung, A. W., Mannix, R., Feldman, H. A., Grant, P. E., Im, K. Longitudinal structural connectomic and rich-club analysis in adolescent mTBI reveals persistent, distributed brain alterations acutely through to one year post-injury. arXiv. , (2019).
  7. Crisco, J. J., et al. Frequency and location of head impact exposures in individual collegiate football players. Journal of Athletic Training. 45 (6), 549-559 (2010).
  8. Wilcox, B. J., et al. Head impact exposure in male and female collegiate ice hockey players. Journal of Biomechanics. 47 (1), 109-114 (2014).
  9. Daniel, R. W., Rowson, S., Duma, S. M. Head impact exposure in youth football. Annals of Biomedical Engineering. 40 (4), 976-981 (2012).
  10. Snowden, T., et al. Heading in the right direction: a critical review of studies examining the effects of heading in soccer players. Journal of Neurotrauma. 38 (2), 169-188 (2021).
  11. Zemek, R. L., et al. Annual and seasonal trends in ambulatory visits for pediatric concussion in Ontario between 2003 and 2013. The Journal of Pediatrics. 181, 222-228 (2017).
  12. Zhang, A. L., Sing, D. C., Rugg, C. M., Feeley, B. T., Senter, C. The rise of concussions in the adolescent population. Orthopaedic Journal of Sports Medicine. 4 (8), (2016).
  13. Broglio, S. P., Eckner, J. T., Paulson, H. L., Kutcher, J. S. Cognitive decline and aging: the role of concussive and subconcussive impacts. Exercise and Sport Sciences Reviews. 40 (3), 138 (2012).
  14. Greco, T., Ferguson, L., Giza, C., Prins, M. Mechanisms underlying vulnerabilities after repeat mild traumatic brain injuries. Experimental Neurology. 317, 206-213 (2019).
  15. Longhi, L., et al. Temporal window of vulnerability to repetitive experimental concussive brain injury. Neurosurgery. 56 (2), 364-374 (2005).
  16. Snowden, T. M., Hinde, A. K., Reid, H. M., Christie, B. R. Does mild traumatic brain injury increase the risk for dementia? A systematic review and meta-analysis. Journal of Alzheimer's Disease. 78 (2), 757-775 (2020).
  17. Guskiewicz, K. M., et al. Association between recurrent concussion and late-life cognitive impairment in retired professional football players. Neurosurgery. 57 (4), 719-726 (2005).
  18. McCradden, M. D., Cusimano, M. D. Staying true to Rowan's Law: how changing sport culture can realize the goal of the legislation. Canadian Journal of Public Health. 110 (2), 165-168 (2019).
  19. Carson, J. D., et al. Premature return to play and return to learn after a sport-related concussion: physician's chart review. Canadian Family Physician. 60 (6), 310-315 (2014).
  20. McClincy, M. P., Lovell, M. R., Pardini, J., Collins, M. W., Spore, M. K. Recovery from sports concussion in high school and collegiate athletes. Brain Injury. 20 (1), 33-39 (2006).
  21. Covassin, T., Savage, J. L., Bretzin, A. C., Fox, M. E. Sex differences in sport-related concussion long-term outcomes. International Journal of Psychophysiology. 132, 9-13 (2018).
  22. Frommer, L., et al. Sex differences in concussion symptoms of high school athletes. Journal of Athletic Training. 46 (1), 76-84 (2011).
  23. Wright, D., O'Brien, T., Shultz, S. R., Mychasiuk, R. Sex matters: Repetitive mild traumatic brain injury in adolescent rats. Annals of Clinical and Translational Neurology. 4 (9), 640-654 (2017).
  24. Stone, S., Lee, B., Garrison, J. C., Blueitt, D., Creed, K. Sex differences in time to return-to-play progression after sport-related concussion. Sports Health. 9 (1), 41-44 (2017).
  25. Cunningham, J., Broglio, S. P., O'Grady, M., Wilson, F. History of sport-related concussion and long-term clinical cognitive health outcomes in retired athletes: a systematic review. Journal of Athletic Training. 55 (2), 132-158 (2020).
  26. Montenigro, P. H., et al. Cumulative head impact exposure predicts later-life depression, apathy, executive dysfunction, and cognitive impairment in former high school and college football players. Journal of Neurotrauma. 34 (2), 328-340 (2017).
  27. Lee, E. B., et al. Chronic traumatic encephalopathy is a common co-morbidity, but less frequent primary dementia in former soccer and rugby players. Acta Neuropathologica. 138 (3), 389-399 (2019).
  28. Di Virgilio, T. G., et al. Evidence for acute electrophysiological and cognitive changes following routine soccer heading. EBioMedicine. 13, 66-71 (2016).
  29. Cherry, J. D., et al. Microglial neuroinflammation contributes to tau accumulation in chronic traumatic encephalopathy. Acta Neuropathologica Communications. 4 (1), 1-9 (2016).
  30. Smith, D. H., Johnson, V. E., Stewart, W. Chronic neuropathologies of single and repetitive TBI: substrates of dementia. Nature Reviews Neurology. 9 (4), 211 (2013).
  31. Coughlin, J. M., et al. Neuroinflammation and brain atrophy in former NFL players: an in vivo multimodal imaging pilot study. Neurobiology of Disease. 74, 58-65 (2015).
  32. Wu, L., et al. Repetitive mild closed head injury in adolescent mice is associated with impaired proteostasis, neuroinflammation, and tauopathy. Journal of Neuroscience. 42 (12), 2418-2432 (2022).
  33. Shultz, S. R., et al. The potential for animal models to provide insight into mild traumatic brain injury: translational challenges and strategies. Neuroscience & Biobehavioral Reviews. 76, 396-414 (2017).
  34. Sharp, D. J., Jenkins, P. O. Concussion is confusing us all. Practical Neurology. 15 (3), 172-186 (2015).
  35. Chen, Y., Huang, W., Constantini, S. The differences between blast-induced and sports-related brain injuries. Frontiers in Neurology. 4, 119 (2013).
  36. Collins, M. W., Kontos, A. P., Reynolds, E., Murawski, C. D., Fu, F. H. A comprehensive, targeted approach to the clinical care of athletes following sport-related concussion. Knee Surgery, Sports Traumatology, Arthroscopy. 22 (2), 235-246 (2014).
  37. Hiploylee, C., et al. Longitudinal study of postconcussion syndrome: not everyone recovers. Journal of Neurotrauma. 34 (8), 1511-1523 (2017).
  38. Rabinowitz, A. R., Fisher, A. J. Person-specific methods for characterizing the course and temporal dynamics of concussion symptomatology: a pilot study. Scientific Reports. 10 (1), 1-9 (2020).
  39. Shultz, S. R., et al. Tibial fracture exacerbates traumatic brain injury outcomes and neuroinflammation in a novel mouse model of multitrauma. Journal of Cerebral Blood Flow & Metabolism. 35 (8), 1339-1347 (2015).
  40. McDonald, S. J., Sun, M., Agoston, D. V., Shultz, S. R. The effect of concomitant peripheral injury on traumatic brain injury pathobiology and outcome. Journal of Neuroinflammation. 13 (1), 1-14 (2016).
  41. Statler, K. D., et al. Isoflurane exerts neuroprotective actions at or near the time of severe traumatic brain injury. Brain Research. 1076 (1), 216-224 (2006).
  42. Rowe, R. K., et al. Using anesthetics and analgesics in experimental traumatic brain injury. Lab Animal. 42 (8), 286-291 (2013).
  43. Luh, C., et al. Influence of a brief episode of anesthesia during the induction of experimental brain trauma on secondary brain damage and inflammation. PLoS One. 6 (5), 19948 (2011).
  44. Madry, C., et al. Microglial ramification, surveillance, and interleukin-1β release are regulated by the two-pore domain K+ channel THIK-1. Neuron. 97 (2), 299-312 (2018).
  45. Patel, P. M., Drummond, J. C., Cole, D. J., Goskowicz, R. L. Isoflurane reduces ischemia-induced glutamate release in rats subjected to forebrain ischemia. The Journal of the American Society of Anesthesiologists. 82 (4), 996-1003 (1995).
  46. Gray, J. J., Bickler, P. E., Fahlman, C. S., Zhan, X., Schuyler, J. A. Isoflurane neuroprotection in hypoxic hippocampal slice cultures involves increases in intracellular Ca2+ and mitogen-activated protein kinases. The Journal of the American Society of Anesthesiologists. 102 (3), 606-615 (2005).
  47. Flower, O., Hellings, S. Sedation in traumatic brain injury. Emergency Medicine International. 2012, 637171 (2012).
  48. Wagner, M., Ryu, Y. K., Smith, S. C., Mintz, C. D. Effects of anesthetics on brain circuit formation. Journal of Neurosurgical Anesthesiology. 26 (4), 358 (2014).
  49. Leikas, J. V., et al. Brief isoflurane anesthesia regulates striatal AKT-GSK3β signaling and ameliorates motor deficits in a rat model of early-stage Parkinson′ s disease. Journal of Neurochemistry. 142 (3), 456-463 (2017).
  50. Turek, Z., Sykora, R., Matejovic, M., Cerny, V. Anesthesia and the microcirculation. in Seminars in Cardiothoracic and Vascular Anesthesia. , 249-258 (2009).
  51. Yang, S., et al. Anesthesia and surgery impair blood-brain barrier and cognitive function in mice. Frontiers in Immunology. 8, 902 (2017).
  52. Bodnar, C. N., Roberts, K. N., Higgins, E. K., Bachstetter, A. D. A systematic review of closed head injury models of mild traumatic brain injury in mice and rats. Journal of Neurotrauma. 36 (11), 1683-1706 (2019).
  53. Mannix, R., et al. Adolescent mice demonstrate a distinct pattern of injury after repetitive mild traumatic brain injury. Journal of Neurotrauma. 34 (2), 495-504 (2017).
  54. Viano, D. C., Hamberger, A., Bolouri, H., Säljö, A. Evaluation of three animal models for concussion and serious brain injury. Annals of Biomedical Engineering. 40 (1), 213-226 (2012).
  55. Mychasiuk, R., Hehar, H., Candy, S., Ma, I., Esser, M. J. The direction of the acceleration and rotational forces associated with mild traumatic brain injury in rodents effect behavioural and molecular outcomes. Journal of Neuroscience Methods. 257, 168-178 (2016).
  56. Christie, B. R., et al. A rapid neurological assessment protocol for repeated mild traumatic brain injury in awake rats. Current Protocols in Neuroscience. 89 (1), 80 (2019).
  57. Buchanan, F. F., Myles, P. S., Leslie, K., Forbes, A., Cicuttini, F. Gender and recovery after general anesthesia combined with neuromuscular blocking drugs. Anesthesia & Analgesia. 102 (1), 291-297 (2006).
  58. Zhang, L., Gurao, M., Yang, K. H., King, A. I. Material characterization and computer model simulation of low density polyurethane foam used in a rodent traumatic brain injury model. Journal of Neuroscience Methods. 198 (1), 93-98 (2011).
  59. Kikinis, Z., et al. Diffusion imaging of mild traumatic brain injury in the impact accelerated rodent model: A pilot study. Brain Injury. 31 (10), 1376-1381 (2017).
  60. Talty, C. -. E., Norris, C., VandeVord, P. Defining experimental variability in actuator-driven closed head impact in rats. Annals of Biomedical Engineering. 50 (10), 1187-1202 (2022).
  61. Meconi, A., et al. Repeated mild traumatic brain injury can cause acute neurologic impairment without overt structural damage in juvenile rats. Plos One. 13 (5), (2018).
  62. Zilles, K. . The Cortex of the Rat: a Stereotaxic Atlas. , (2012).
  63. Fontaine, C. J., et al. Impaired bidirectional synaptic plasticity in juvenile offspring following prenatal ethanol exposure. Alcoholism: Clinical and Experimental Research. 43 (10), 2153-2166 (2019).
  64. Fontaine, C. J., et al. Endocannabinoid receptors contribute significantly to multiple forms of long-term depression in the rat dentate gyrus. Learning & Memory. 27 (9), 380-389 (2020).
  65. Grafe, E. L., Wade, M. M., Hodson, C. E., Thomas, J. D., Christie, B. R. Postnatal choline supplementation rescues deficits in synaptic plasticity following prenatal ethanol exposure. Nutrients. 14 (10), 2004 (2022).
  66. Peñasco, S., et al. Intermittent ethanol exposure during adolescence impairs cannabinoid type 1 receptor-dependent long-term depression and recognition memory in adult mice. Neuropsychopharmacology. 45 (2), 309-318 (2020).
  67. Cole, J. T., et al. Craniotomy: true sham for traumatic brain injury, or a sham of a sham. Journal of Neurotrauma. 28 (3), 359-369 (2011).
  68. Long, R. P., et al. Repeated isoflurane exposures impair long-term potentiation and increase basal GABAergic activity in the basolateral amygdala. Neural Plasticity. 2016, (2016).
  69. Meehan, W. P., Mannix, R. C., O'Brien, M. J., Collins, M. W. The prevalence of undiagnosed concussions in athletes. Clinical Journal of Sport Medicine. 23 (5), 339 (2013).
  70. Moore, R. D., Lepine, J., Ellemberg, D. The independent influence of concussive and sub-concussive impacts on soccer players' neurophysiological and neuropsychological function. International Journal of Psychophysiology. 112, 22-30 (2017).
  71. Peltonen, K., et al. On-field signs of concussion predict deficits in cognitive functioning: Loss of consciousness, amnesia, and vacant look. Translational Sports Medicine. 3 (6), 565-573 (2020).
  72. Kontos, A. P., Sufrinko, A., Sandel, N., Emami, K., Collins, M. W. Sport-related concussion clinical profiles: clinical characteristics, targeted treatments, and preliminary evidence. Current Sports Medicine Reports. 18 (3), 82-92 (2019).
  73. Eisenberg, M. A., Meehan, W. P., Mannix, R. Duration and course of post-concussive symptoms. Pediatrics. 133 (6), 999-1006 (2014).
  74. Mychasiuk, R., Farran, A., Esser, M. J. Assessment of an experimental rodent model of pediatric mild traumatic brain injury. Journal of Neurotrauma. 31 (8), 749-757 (2014).
  75. Malkesman, O., Tucker, L. B., Ozl, J., McCabe, J. T. Traumatic brain injury-modeling neuropsychiatric symptoms in rodents. Frontiers in Neurology. 4, 157 (2013).
  76. Shultz, S. R., MacFabe, D. F., Foley, K. A., Taylor, R., Cain, D. P. A single mild fluid percussion injury induces short-term behavioral and neuropathological changes in the Long-Evans rat: Support for an animal model of concussion. Behavioural Brain Research. 224 (2), 326-335 (2011).
  77. Sorge, R. E., et al. Olfactory exposure to males, including men, causes stress and related analgesia in rodents. Nature Methods. 11 (6), 629-632 (2014).
  78. van Driel, K. S., Talling, J. C. Familiarity increases consistency in animal tests. Behavioural Brain Research. 159 (2), 243-245 (2005).
  79. Mouzon, B. C., et al. Chronic neuropathological and neurobehavioral changes in a repetitive mild traumatic brain injury model. Annals of Neurology. 75 (2), 241-254 (2014).
  80. Mannix, R., et al. Clinical correlates in an experimental model of repetitive mild brain injury. Annals of Neurology. 74 (1), 65-75 (2013).
  81. Bekhbat, M., et al. Chronic adolescent stress sex-specifically alters central and peripheral neuro-immune reactivity in rats. Brain, Behavior, and Immunity. 76, 248-257 (2019).
  82. Pyter, L. M., Kelly, S. D., Harrell, C. S., Neigh, G. N. Sex differences in the effects of adolescent stress on adult brain inflammatory markers in rats. Brain, Behavior, and Immunity. 30, 88-94 (2013).
  83. MacDougall, M. J., Howland, J. G. Acute stress, but not corticosterone, disrupts short-and long-term synaptic plasticity in rat dorsal subiculum via glucocorticoid receptor activation. Cerebral Cortex. 23 (11), 2611-2619 (2013).
  84. Ting, J. T., Daigle, T. L., Chen, Q., Feng, G. Acute brain slice methods for adult and aging animals: application of targeted patch clamp analysis and optogenetics. Patch-Clamp Methods and Protocols. , 221-242 (2014).
  85. Ting, J. T., Feng, G. Development of transgenic animals for optogenetic manipulation of mammalian nervous system function: progress and prospects for behavioral neuroscience. Behavioural Brain Research. 255, 3-18 (2013).
  86. Tanaka, Y., Tanaka, Y., Furuta, T., Yanagawa, Y., Kaneko, T. The effects of cutting solutions on the viability of GABAergic interneurons in cerebral cortical slices of adult mice. Journal of Neuroscience Methods. 171 (1), 118-125 (2008).
  87. Trivino-Paredes, J. S., Nahirney, P. C., Pinar, C., Grandes, P., Christie, B. R. Acute slice preparation for electrophysiology increases spine numbers equivalently in the male and female juvenile hippocampus: a DiI labeling study. Journal of Neurophysiology. 122 (3), 958-969 (2019).
  88. Bowden, J. B., Abraham, W. C., Harris, K. M. Differential effects of strain, circadian cycle, and stimulation pattern on LTP and concurrent LTD in the dentate gyrus of freely moving rats. Hippocampus. 22 (6), 1363-1370 (2012).
  89. Segev, A., Garcia-Oscos, F., Kourrich, S. Whole-cell patch-clamp recordings in brain slices. Journal of Visualized Experiments. (112), e54024 (2016).
  90. Pham, L., et al. Mild closed-head injury in conscious rats causes transient neurobehavioral and glial disturbances: a novel experimental model of concussion. Journal of Neurotrauma. 36 (14), 2260-2271 (2019).

Reprints and Permissions

Request permission to reuse the text or figures of this JoVE article

Request Permission

This article has been published

Video Coming Soon

We use cookies to enhance your experience on our website.

By continuing to use our website or clicking “Continue”, you are agreeing to accept our cookies.

Learn More