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The Journal of Neuroscience, November 1, 2001, 21(21):8523-8537
Physiological and Structural Evidence for Hippocampal Involvement
in Persistent Seizure Susceptibility after Traumatic Brain Injury
Golijeh
Golarai1, 2,
Anders C.
Greenwood1, 2,
Dennis M.
Feeney1, 2, and
John A.
Connor1
1 Department of Neurosciences, University of New
Mexico, Albuquerque, New Mexico 87131-5223, and
2 Department of Psychology, University of New Mexico,
Albuquerque, New Mexico 87133-5223
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ABSTRACT |
Epilepsy is a common outcome of traumatic brain injury (TBI), but
the mechanisms of posttraumatic epileptogenesis are poorly understood.
One clue is the occurrence of selective hippocampal cell death after
fluid-percussion TBI in rats, consistent with the reported reduction of
hippocampal volume bilaterally in humans after TBI and resembling
hippocampal sclerosis, a hallmark of temporal-lobe epilepsy. Other
features of temporal-lobe epilepsy, such as long-term seizure
susceptibility, persistent hyperexcitability in the dentate gyrus (DG),
and mossy fiber synaptic reorganization, however, have not been
examined after TBI. To determine whether TBI induces these changes, we
used a well studied model of TBI by weight drop on somatosensory cortex
in adult rats. First, we confirmed an early and selective cell loss in
the hilus of the DG and area CA3 of hippocampus, ipsilateral to the
impact. Second, we found persistently enhanced susceptibility to
pentylenetetrazole-induced convulsions 15 weeks after TBI. Third, by
applying GABAA antagonists during field-potential and
optical recordings in hippocampal slices 3 and 15 weeks after TBI, we
unmasked a persistent, abnormal APV-sensitive hyperexcitability that
was bilateral and localized to the granule cell and molecular layers of
the DG. Finally, using Timm histochemistry, we detected progressive
sprouting of mossy fibers into the inner molecular layers of the DG
bilaterally 2-27 weeks after TBI. These findings are consistent with
the development of posttraumatic epilepsy in an animal model of impact
head injury, showing a striking similarity to the enduring behavioral,
functional, and structural alterations associated with temporal-lobe epilepsy.
Key words:
traumatic brain injury; hippocampal sclerosis; mossy
fiber synaptic reorganization; sprouting; seizures; neuron death; epilepsy; optical recording; voltage-sensitive dye di-2-ANEPEQ
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INTRODUCTION |
Traumatic brain injury (TBI) is a
major risk factor for epilepsy (Feeney and Walker, 1979 ; Salazar et
al., 1985 ; Annegers et al., 1996 , 1998 ). Human studies showed a strong
correlation between posttraumatic epilepsy (PTE) and loss of brain
volume after head injury (Salazar et al., 1985 ). Others have reported reduced hippocampal volume bilaterally in humans after TBI (Bigler et
al., 1997 ; Tate and Bigler, 2000 ). Likewise, in rats, extensive cortical and subcortical neuronal loss was reported after cortical weight-drop injury (Weisend and Feeney, 1994 ) or fluid percussion (Cortez et al., 1989 ; Lowenstein et al., 1992 ), where damaged neurons
were found in hippocampal CA3 and hilus as early as minutes after
cortical impact (Hicks et al., 1996 ; Toth et al., 1997 ). This hilar
cell loss resembled "hippocampal sclerosis," a hallmark of
temporal-lobe epilepsy, suggesting hippocampal involvement in PTE
(Lowenstein et al., 1992 ). This idea, based on an impact model of TBI,
differs from findings of regionally restricted seizure susceptibility
around focal cortical injury by cold, undercut, needle insertion, heat,
or excitotoxins (Grafstein, 1957 ; Prince and Tseng, 1993 ; Jacobs et
al., 1996 ; Eysel, 1997 ; Hagemann et al., 2000 ).
The connection between PTE and impact-induced hippocampal sclerosis has
remained elusive for two reasons. First, a persistent susceptibility to
seizures has not been reported after experimental TBI. Others have
reported acute posttraumatic seizures during the first hours (Krobert
et al., 1992 ; Nilsson et al., 1994 ) and enhanced seizure susceptibility
during the first week after TBI (Coulter et al., 1996 ; Reeves et al.,
1997 ). However, PTE, defined as a persistent seizure susceptibility
beyond 2 weeks after TBI (Feeney and Walker, 1979 ; Salazar et al.,
1985 ), has not been demonstrated experimentally. Second, temporal-lobe
epilepsy and hippocampal sclerosis are associated with forms of
neuronal plasticity that are implicated in epileptogenesis but not
previously examined after TBI. This plasticity includes an early and
persistent, NMDA receptor-dependent hyperexcitability among granule
cells (Mody et al., 1988 ; Lynch et al., 2000 ) and abnormal sprouting of
granule cell axons (mossy fibers) synapsing in the molecular layer
(Frotscher and Zimmer, 1983 ; Sutula et al., 1988 ). This mossy fiber
synaptic reorganization (MFSR) is found in human temporal-lobe epilepsy (Sutula et al., 1989 ; Babb, 1997 ) and is well characterized in experimental models (Cotman, 1979 ; Sutula et al., 1988 , 1998 ; Stanfield, 1989 ; Golarai et al., 1992 ; Okazaki et al., 1995 ; Ribak et
al., 1998 ; Mitchell et al., 1999 ). There is evidence that NMDA receptor-mediated hyperexcitability among granule cells promotes MFSR,
which in turn may enhance recurrent excitation, leading to persistent
hyperexcitability in the dentate gyrus (DG) (Sutula et al., 1996 ). Such
a positive feedback loop between functional and structural changes in
the DG could facilitate epileptogenesis (Tauck and Nadler, 1985 ; Cronin
et al., 1992 ; Golarai and Sutula, 1996 ).
In the present study, we addressed three hitherto unanswered questions
pertaining to epileptogenesis after TBI. First, is impact-induced TBI
associated with an enduring susceptibility to behavioral seizures?
Second, is the circuitry of the DG persistently susceptible to seizure
activity after TBI? Third, is the TBI-induced functional plasticity in
the DG associated with persistent structural changes such as MFSR?
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MATERIALS AND METHODS |
Surgical methods: weight-drop contusion. Subjects
were male Sprague Dawley rats (250-400 gm) maintained with equal daily
periods of light and dark and free access to food and water. All
protocols adhered to the guidelines of the National Institutes of
Health. TBI was induced in anesthetized (2% halothane in
O2, 2 l/min) rats as described previously (Feeney
et al., 1981 ). Briefly, rats underwent a craniotomy, in which a
circular region of skull (3.0 mm diameter, centered 2.3 mm caudal and
2.3 mm lateral to bregma) was removed over the right somatosensory
cortex. A weight-drop device was placed stereotaxically over the dura
and adjusted to stop an impact transducer (foot plate) at a depth of
2.5 mm below the dura. Then, a 20 gm weight was dropped from 20 cm
above the dura, through a guide tube onto the foot plate. These methods result in epileptiform activity in region CA3 and mild to moderate acute convulsions during the first hours after TBI (i.e., class II-V)
(Krobert et al., 1992 ), reproducible contusions, selective subcortical
neuronal death, and specific behavioral deficits (Feeney et al., 1981 ,
1982 ; Feeney, 1997 ). Similar epileptiform activity was recorded in the
hours after compression TBI (Nilsson et al., 1994 ). In the present
study, in addition to similar acute post-TBI convulsions, late
convulsions were incidentally observed during routine handling of the
animals over weeks.
Controls were age matched and included three groups. First, nine
controls received no treatment at all (normal controls). Second, 11 control rats underwent craniotomy without weight drop (craniotomy
controls). Third, six un-operated and three craniotomy rats each
received a single subconvulsant dose of pentylenetetrazole, as
described below (PTZ controls).
Histological methods for assessing cell damage and death. To
assess cell damage and loss after TBI, rats were anesthetized (Nembutal, 100 mg/kg) and transcardially perfused with physiological saline, followed by a 4% paraformaldehyde solution. Brains were then
post-fixed and cryoprotected in a 4% paraformaldehyde-20% sucrose
solution, and 20 µm frozen sections were cut in the coronal plane.
To visualize damaged cells 1-5 d and 2 and 8 weeks after TBI, brain
sections were stained with Fluoro-Jade (Histo-Chem Inc., Jefferson, AR)
(Schmued et al., 1997 ). Briefly, hemispheric 20 µm brain sections
were pretreated with a 0.06% solution of potassium permanganate and
then stained with a 0.01% Fluoro-Jade-0.1% acetic acid solution. A
subset of sections was also stained with cresyl violet.
To verify gross neuron loss, we applied cresyl violet stain to
alternate horizontal sections from another group of rats 2-27 weeks
after TBI. The intervening sections were used for Timm histochemistry as described below. Areas of Fluoro-Jade-labeled neurons and gross loss
of cresyl violet-stained neurons were plotted on templates of
hippocampus at three anteroposterior levels: 2.5, 3.8, and 5.6 mm
posterior to bregma.
Administration of pentylenetetrazole and behavioral seizure
classification. To detect any enhanced seizure susceptibility in
post-TBI rats, we used a single, normally subconvulsant dose of PTZ (30 mg/kg; Sigma, St. Louis, MO) to challenge rats 15 weeks after TBI and
compared these with age-matched controls that received the same dose of
PTZ. The dose of 30 mg/kg PTZ was based on earlier work showing that
20-30 mg/kg of PTZ (intraperitoneal) is subconvulsant for adult male
Sprague Dawley rats, whereas 50-60 mg/kg is a convulsant dose (Sacks
and Glaser, 1941 ).
After PTZ injection, each rat was placed in a clear plastic cage and
observed for 1 hr. Convulsions were scored into five classes by a
standard method (Racine, 1972 ): class I, arrest of motion; class II,
myoclonic jerks of the head and neck, accompanied by brief twitching
movements of forelimbs and hindlimbs; class III, unilateral clonic
activity; class IV, bilateral tonic-clinic forelimb activity; and
class V, generalized tonic-clonic activity with rearing and loss of
postural tone. For each rat, the highest seizure class during the first
hour after PTZ injection was reported. We compared scores between
control and TBI rats, using a two-tailed Mann-Whitney U test.
Rats were prepared for Timm histology (as described below) 18-24 hr
after PTZ injection to minimize the contribution of PTZ-evoked seizures
to MFSR.
In vitro field potential and optical recording.
Excitability of the DG was assessed in coronal hemispheric brain slices
from rats 2-3 and 14-15 weeks after TBI and from normal controls.
Brain slices were prepared by standard procedures. Rats were
anesthetized (85 mg/kg ketamine plus 15 mg/kg xylazine, i.m.). Brains
were carefully removed, chilled, and sliced in a partly frozen cutting solution, containing (in mM): 252 sucrose, 3 KCl, 0.2 CaCl2, 6 MgSO4, 1.3 NaH2PO4, 26 NaHCO3, 10 glucose, and saturating 95% O2 and 5% CO2, pH 7.4. Slices (400 µm thick) were cut using a Vibratome (Ted Pella) and
transferred to artificial CSF (ACSF) containing (in
mM): 124 NaCl, 2 KCl, 2 CaCl2, 1 MgSO4, 1.3 NaH2PO4, 26 NaHCO3, 10 dextrose, saturated with 95%
O2 and 5% CO2, pH 7.4, at
10-15°C, warmed for 1 h, and maintained at 25-27°C.
For electrophysiological recording, brain slices were placed in an
interface chamber at 33-35°C, perfused with ACSF, and aerated with a
95:5% O2/CO2 mixture.
Perforant-path axons were activated with single shocks (100 µsec
duration at 0.1-0.25 Hz) by a bipolar stimulating electrode placed in
the DG molecular layer. In some experiments, pairs of shocks were
delivered at these frequencies, with an interpulse interval of 50-60
msec. Field-potential responses were recorded with a glass pipette
filled with 3 M NaCl (tip resistance 3-7 M ), in the
granule cell layer, 1-2 mm away from the tip of the stimulating
electrode. Duration of each evoked population EPSP (pEPSP) was
estimated as the time interval between the first rise of the
positive-going pEPSP and the intercept of the return to baseline of the
pEPSP (or its tangent).
To examine granule cell propensity for repetitive firing,
GABAA receptors were blocked with ( )
bicuculline methiodide and/or picrotoxin. In some experiments,
NMDA-type glutamate receptors were blocked with
DL-2-amino-5-phosphonovaleric acid (APV). All drugs were obtained from Sigma.
Simultaneous optical recording of voltage-sensitive fluorescent
signals. For optical recording, brain slices were stained with the
voltage-sensitive fluorescent dye di-2-ANEPEQ (Molecular Probes,
Eugene, OR) by incubation in a 0.1% di-2-ANEPEQ-ACSF solution at
20-25°C while being aerated with a 95:5%
O2/CO2 mixture. Excess dye
was removed by washing in dye-free oxygenated ACSF. Stained slices were
placed in a recording interface chamber, and perforant-path-evoked population responses were recorded by field and optical methods simultaneously. To create an inactive reference region for data processing (see below), we coated a small piece of filter paper with
fluorescent latex beads (FluoSphere, Molecular Probes) and placed it on
or near the slice.
For optical recording of perforant-path-evoked depolarizations in the
DG, excitation light (Xenon lamp XBO75, filtered at 530 ± 5.0 nm)
was delivered to the surface of the slice via a fluid-filled light
guide (Oriel, Stratford, CT). Emission light was collected by a long
working distance 5× objective (Mitotoyu, Tokyo, Japan),
filtered at 550 nm (glass long-pass filter), and captured by a cooled
CCD camera (312 × 586 pixels; Roper Scientific Inc., Tucson, AZ).
A pair of 4 msec images were recorded, one before a single shock to the
perforant path ("pre-image") and one at a variable delay (0-40
msec) after the shock ("post-image"). Temporal resolution of 4 msec
was obtained by illuminating the slice with a 4 msec flash of
excitation light using a Uniblitz shutter (12.5 mm diameter) during
each of the two (100 msec long) camera shutter openings. Optical data
were recorded, processed, and stored using IPLab software (Signal
Analytic, Vienna, VA). Field potentials were monitored simultaneously
during optical recordings.
In these experiments, we tested the relative amplitude of
depolarization in the hilus compared with the molecular and granule cell layers after single, perforant-path shocks. We first verified that
robust voltage-sensitive optical signals were detected in the hilus,
when the hilus was directly stimulated with single shocks in a set of
pilot experiments (data not shown).
Processing of optical data. For each pre-image and
post-image pair, a difference ratio [(post-pre)/pre] was calculated.
Twenty ratio images (from consecutively recorded image pairs with the same timing relative to the shock) were averaged and filtered. Data
were normalized and color coded according to a standard method, as
follows. For each averaged ratio image, the average intensity value of
pixels from an inactive reference region (see Fig.
7A1,B1, filled green box) was
designated baseline and assigned pseudocolor indigo/purple (see Fig.
7A1,B1, arrowhead on color
bar). Baseline plus 1.5 SD or greater was assigned the saturation
color of pink (see Fig. 7A1,B1, above
red on the color bar). No image pixels reached
this saturation intensity level in the data shown in this paper. When
no fibers were stimulated in normal ACSF, the pixel intensity values in
the entire image were similar to the baseline, as appropriate, and
corresponded to pseudocolor indigo to purple (see Fig. 7A4,
No. Stim.). To demonstrate the anatomical location of
optical signals evoked by fiber activation, optical signals were
superimposed on a single image of the slice preparation. For this
purpose, all ratio-image pixels near baseline (previously assigned
pseudocolors indigo to purple) (see Fig. 7A1,B1,
below arrowhead on color bar) were made transparent.
Timm histochemistry and histological procedures. The
distribution of mossy fiber terminals was examined in the following
eight groups: (1) normal controls; (2-3) 2 and 16 weeks after
craniotomy alone; (4) 18-24 hr after a single PTZ injection (i.e., PTZ
controls); (5-7) 2-3, 15-16, and 24-27 weeks after TBI; (8) 18-24
hr after a single PTZ injection 15 weeks after TBI. The distribution of Zn2+-containing mossy fiber terminals was
visualized by Timm histology using standard methods (Danscher, 1981 ;
Sutula et al., 1988 ). Briefly, rats were anesthetized (85 mg/kg
ketamine plus 15 mg/kg xylazine, i.m.) and intracardially perfused with
400 ml of 0.2% (w/v) Na2S, followed by 400 ml of
a 1.0% (w/v) paraformaldehyde/1.25% (w/v) glutaraldehyde solution.
Brains were removed and left in the fixative solution saturated with
30% (w/v) sucrose. Horizontal 40 µm sections were cut and developed
in the dark for 30-60 min in a 12:6:2 mixture of gum arabic (2.0%
w/v), hydroquinone (5.6% w/v), citric acid-sodium citrate buffer, to
which 1.5 ml of silver nitrate solution (17% w/v) was added. Adjacent
sections were stained with cresyl violet to assess gross cell loss.
Timm scoring methods. The distribution of Timm granules in
the supragranular layer (SGL) of the DG was rated independently by
three observers (who were blinded to the identity of each section) on a
scale of 0-5, using a published scoring method (Cavazos and Sutula,
1990 ; Cavazos et al., 1991 ; Golarai et al., 1992 ; Sutula et al., 1992a ,
1996 ) adapted as follows: (0) no Timm granules between the tips and
crest of the DG; (1) sparse Timm granules in the SGL with occasional
clusters; (2) multiple clusters of Timm granules connected by sparse
granules in the SGL; (3) more numerous and continuously distributed
Timm granules in the SGL with occasional regions of confluence; (4) a
confluent dense laminar band of granules in the SGL; and (5) a band as
in 4, but extending into the inner molecular layer.
To quantify the regional distribution of MFSR after TBI, Timm-stained
sections from both brain hemispheres in each rat were evaluated at two
standard locations along the septotemporal axis: (1) a "septal"
section at ~3.6 mm deep with respect to bregma and (2) a
"temporal" section at the level of the posterior commissure at
~4.8 mm deep with respect to bregma. Septal and temporal scores were
processed separately. Data were analyzed using two independent methods.
First, following previous published methods (Cavazos et al., 1991 ,
1992 ), we averaged individual Timm scores across the three independent
observers for each rat for the septal and temporal locations. Thus
levels of MFSR intermediate between scoring levels were often scored
differently by different observers, and the average reflected that
intermediacy. Using these average scores, we then tested between-group
differences for statistical significance in a one-way ANOVA, using
two-tailed t tests for paired comparisons (Snedecor and
Cochran, 1980 ). In a second method, we treated MFSR scores as strictly
ordinal data, used the median score across the three observers in each
case (see Fig. 11), and then tested between-group differences using
Kruskal-Wallis nonparametric test statistics, corrected for multiple
comparisons (Dunn's test) (Snedecor and Cochran, 1980 ; Glantz, 1997 ).
These two methods led to similar results with slight differences in levels. Here we report statistical significance according to the more
conservative nonparametric analysis.
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RESULTS |
Cortical lesion induced by TBI
TBI by weight drop induced a reproducible lesion in the
ipsilateral somatosensory cortex. Figure
1A shows a typical
cresyl violet-stained coronal section of the somatosensory cortex
1 d after TBI; arrowheads delineate the site of impact
by weight drop. As reported earlier (Feeney et al., 1981 ), this
cortical site of impact undergoes massive cell loss during a 2 week
period.

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Figure 1.
Weight-drop TBI induced reproducible
damage in the ipsilateral somatosensory cortex and selective cell loss
in the ipsilateral hippocampus. A, A cresyl
violet-stained coronal section 1 d after TBI shows the impact site
in the right somatosensory cortex (arrowheads).
This region underwent massive cell loss and by 2 weeks after TBI turned
into a fluid-filled cavity (~30 mm3) spanning
cortical layers external to the white matter. B, A
Fluoro-Jade-stained coronal section from the same brain as
A shows the pattern of cell damage as detected by
specific (bright green) Fluoro-Jade labeling of cells
1 d after TBI. Cortical white matter is marked with an
asterisk. Arrowheads same as
A. One day after TBI, cortical cell damage appeared
mainly at the edges of the impact site, with sparse labeling in
between. Specific labeling in the CA3 and hilus of the ipsilateral
hippocampus is detectable at this low magnification. C,
A higher magnification from B shows the cortex and
hippocampus contralateral to TBI. Note scarcity of specific labeling
contralateral to TBI, compared with D. D,
A higher magnification from B shows the cortex and
hippocampus ipsilateral to TBI. Arrowhead and
asterisk are same as in B. Note the peak
of labeling at the medial edge of the impact site
(arrowhead) and sparser labeling laterally. Specific
labeling is found in ipsilateral CA3 but not CA1. E, A
higher magnification of the boxed somatosensory region
from D shows labeled cortical neurons with typical
pyramidal shapes, some with extended apical and basal processes.
F, A higher magnification of the boxed
hilar region of the DG from D shows varied shapes of
labeled cells, some with dendrite-like processes. G, A
Fluoro-Jade-stained coronal section of the ipsilateral DG 3 d
after TBI shows labeled cells across the hilus. Arrows
point to the punctate staining in the dorsal and ventral inner
molecular layer (arrows). DG,
Dentate gyrus; Ipsi-SMCX,
ipsilateral somatosensory cortex; WM,
white matter.
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To verify consistency with earlier observations, we examined the time
course and regional distribution of TBI-induced cell death using the
fluorescence marker Fluoro-Jade, which selectively labels injured
neurons (Schmued et al., 1997 ; Schmued and Hopkins, 2000 ). One day
after TBI, labeled cells were most dense at the edges of the cortical
impact site, extending into the interior regions of this site (Fig.
1B,D). Labeled cortical cells were pyramidal shaped, with basal and apical processes, some extending for
several hundred micrometers (Fig. 1E). During days
2-10 after TBI, the number of labeled cells increased in the interior
regions of the impact site (data not shown), whereas labeled cortical cells remained confined to the ipsilateral region around the site of
impact at all time points tested (1-5, 7, 10 d, and 2-3 weeks after TBI). A similar distribution of damaged cells was detected by the
Fink-Heimer method (data not shown). By 2 weeks after TBI, massive cell
loss left a cavity in this region that approached a maximum size of
~30 mm3, spanning all cortical layers
external to the white-matter (Fig. 2B). In this study, we
examined rats at various latencies after TBI (1-7 d, 2-3, 15-16, and
24-27 weeks), excluding subjects with injuries deviating from the
above (11 of 98 rats excluded).

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Figure 2.
Weight-drop TBI-induced selective, gross
cell loss in the ipsilateral hippocampus. A, A cresyl
violet-stained coronal section 3 weeks after TBI shows the hippocampus
contralateral to TBI with no evidence of macroscopic cell loss.
B, From the same brain as A, showing the
hippocampus ipsilateral to TBI. Note the TBI-induced cortical cavity
(*). Gross CA3 cell loss is delineated by arrows.
There was no obvious cell loss in the CA1 or dentate granule cell
layers. C, A higher magnification from A
shows the contralateral hilus with no evidence of gross cell loss after
TBI. D, A higher magnification from B
shows the ipsilateral hilus where a subtle loss of large cells can be
detected, especially ventrally (between arrows) in this
example, as compared with the contralateral side in C.
DG, Dentate gyrus; GC, granule cell
layer; H, hilus of the dentate gyrus.
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Selective cell death in hippocampus after TBI
TBI induced selective neuronal death in the ipsilateral (right
hemisphere) subcortical structures, including selective damage in the
right hippocampus (Figs. 1-3). In
coronal sections 1-7 d after TBI, Fluoro-Jade-labeled damaged cells
were numerous in ipsilateral CA3 (Fig. 1D) and hilus
(Fig. 1F,G) and occasionally also
found in CA1 or the granule cell layer (data not shown) but never
observed in any region in the contralateral hippocampus (Fig.
1C). One day after TBI, labeled cells were found in the ipsilateral hilus (Fig. 1F), displaying various
pyramidal and multipolar shapes with dendrite-like processes, sometimes
extending into the granule cell layer. On days 3 and 4 after TBI,
labeled cells were more numerous across the hilus (Fig. 1G).
We also observed punctate labeling in the ipsilateral inner molecular
layer of the DG, consistent with terminal degeneration of the
associational pathway arising from the ipsilateral hilus (Fig.
1G, arrows). At latencies >7 d after TBI,
Fluoro-Jade labeling in the hippocampus was sparse, although labeled
cells were readily apparent in subcortical structures such as the
caudate nucleus (data not shown).

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Figure 3.
Gross cell loss in the ipsilateral
hippocampal CA3 and hilus progressed in temporal regions during the
weeks after TBI. A, A cresyl violet-stained horizontal
section of the temporal hippocampus from ~4.5 mm deep with respect to
bregma prepared 3 weeks after TBI shows gross cell loss in the
ipsilateral CA3 (between arrows). Other
panels on the left show similarly
prepared sections. B, The ipsilateral hippocampus 15 weeks after TBI showed a wider region of gross cell loss in CA3
(between arrows) compared with A.
C, The ipsilateral hippocampus 27 weeks after TBI showed
a progression of cell loss across the entire CA3. Note atrophy of the
ipsilateral hilus, indicated by reduced distance between supragranule
and infragranule cell layers (arrowheads) compared with
D. D, The contralateral hippocampus 27 weeks after TBI (from the same brain section as C)
showed no evidence of gross cell loss.
E-H show higher magnifications of hilus
from A-D. E, At 3 weeks
after TBI, cell loss was subtle in the ipsilateral hilus in this
temporal location. F, At 15 weeks after TBI, cell loss
remained subtle in the temporal ipsilateral hilus. G, At
27 weeks after TBI, cell loss and atrophy of the temporal ipsilateral
hilus was clearly detectable, although some large hilar neurons remain.
H, There was no evidence of gross cell loss in the
contralateral hilus 27 weeks after TBI at this temporal location. Scale
bars in A and E apply to
A-D and E-H,
respectively.
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We further examined the regional specificity of gross neuron loss 2-27
weeks after TBI in cresyl violet-stained sections. In coronal sections
stained with cresyl violet, gross cell loss in the hippocampus remained
confined to the ipsilateral hilus and CA3. Remaining relatively intact
at all time points tested were the corresponding regions in the
contralateral hemisphere and the dentate granule cell and CA1 pyramidal
cell layers, bilaterally. In the typical example of Figure 2, 3 weeks
after TBI, gross cell loss was only apparent ipsilaterally in CA3 and
in the hilus between 2.5 and 4.0 mm posterior to bregma, but not among
ipsilateral CA1 or dentate granule cells (Fig. 2B) or
in any region of the contralateral hippocampus (Fig.
2A).
Gross CA3 cell loss along the septotemporal axis of hippocampus was
limited to the region between 2 and 6 mm posterior to bregma, 2-3, 15, and 27 weeks after TBI (n = 8, 13, and 3, respectively). Within this septotemporal region, gross cell loss
was initially confined to CA3a, but increased over time to include most
of CA3 (Fig. 3A-C, between arrows).
Note however, that in the ipsilateral hilus large neurons could still
be found at all time points tested (Figs. 2D,
3E-G), whereas there was also an ipsilateral
abundance of small cells consistent with gliosis (Fig.
2D, between arrows). In more posterior
sections stained with cresyl violet (Fig. 3), hilar cell loss was too
subtle to detect without quantitative techniques at 3 and 15 weeks
after TBI (n = 8 and 13, respectively) (Fig.
3E,F), but gross cell loss
and gliosis are apparent by 27 weeks in the ipsilateral hilus compared
with the contralateral hilus (n = 3) (Fig. 3, compare
C, G with D, H).
These findings are consistent with a selective loss of neurons in the
ipsilateral hilus after TBI.
Figure 4 summarizes the Fluoro-Jade and
cresyl violet data to show the distribution of gross cell loss in the
ipsilateral hilar and CA3 regions at various points on the hippocampal
septotemporal axis during the weeks after TBI. This distribution
resembled the selective cell loss caused by excitotoxicity during
seizures or kainic acid treatment (Olney et al., 1986 ) and showed a
progression of gross cell loss from septal to temporal hippocampus
during the weeks after TBI.

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Figure 4.
Selective hippocampal cell loss
progressed for weeks after TBI. This summary of the time course and
regional distribution of selective cell loss in the hippocampus is
based on Fluoro-Jade and cresyl violet staining 1 d (1
Day) to 27 weeks (24-27 W) after TBI, as
indicated. Regions of visually discernable cell loss 2.5, 3.8, and 5.6 mm posterior to bregma are marked by filled diamonds.
Gross cell loss in the CA3 progressed to temporal regions (i.e.,
posteriorly) and also from CA3a to CA3c over weeks after TBI. In the
hilus, gross cell loss was detected in Fluoro-Jade-stained septal
sections by 1 d, in cresyl violet-stained septal sections by 3 weeks, and in temporal hippocampus by 27 weeks after TBI.
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Persistent susceptibility to PTZ-evoked convulsions after TBI
Selective loss of neurons in the hilus of the DG in temporal-lobe
epilepsy is associated with a long-lasting susceptibility to seizures,
which can be detected as a lowering of the threshold for seizures
evoked by various convulsant agents. Therefore, we compared the
PTZ-evoked behavioral responses in rats 15 weeks after TBI with
controls. To determine whether seizure threshold was reduced after TBI,
we selected a dose of PTZ (30 mg/kg, i.p) that typically does not
induce generalized tonic-clonic seizures (class IV or V) in normal
rats (Sacks and Glaser, 1941 ). Each rat was injected once with PTZ (30 mg/kg, i.p.), and its behavior was observed for 1 hr. Figure
5 summarizes the behavioral seizure responses of each control (open circles) and TBI rat
(filled circles) during the first hour after PTZ
injection. Fifteen weeks after TBI, PTZ-evoked convulsions ranged from
class I to V. Class V seizures were observed in five of eight subjects
and developed into repeated episodes in three of these five rats,
ending in fatal status epilepticus in one case. The median convulsion
in the post-TBI group was generalized tonic-clonic (i.e., class IV; n = 8). In contrast, PTZ-evoked convulsions in controls
ranged from class 0 to III, and the median convulsion was transient
arrests of motion (i.e., class I; n = 10). Although the
variability within each group was consistent with previously published
work with PTZ in normal rats (Mason and Cooper, 1972 ; Golarai et al.,
1992 ), our observation of dramatically increased susceptibility to
PTZ-induced seizures 15 weeks after TBI was highly significant
(p < 0.01; two-tailed Mann-Whitney
U test).

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Figure 5.
TBI induced a persistent susceptibility to
pentylenetetrazole-evoked seizures in vivo (30 mg/kg
PTZ, i.p.). Each circle represents a control
(open) or a rat 15 weeks after TBI
(filled). Convulsions were rated according to a
standard scale: no detectable behavioral seizures (class 0); arrest of
motion (class I); myoclonic movements (class II); unilateral
tonic-clonic seizures (class III); bilateral tonic-clonic seizures
(class IV); generalized seizures with loss of postural tone (class V).
Generalized seizures were induced in five of eight rats 15 weeks after
TBI. In contrast, no generalized seizures were observed in 10 normal
rats for 1 hr after PTZ injection.
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Persistent hyperexcitability in the DG after TBI
In experimental models of temporal-lobe epilepsy, seizures and
hilar cell loss are associated with an enduring propensity for
repetitive firing among the dentate granule cells when exposed to
GABAA antagonists in vitro (Cronin et
al., 1992 ; Golarai et al., 1992 ). Thus, we tested the DG for similar
changes 2-3 and 15 weeks after TBI. Furthermore, we used optical
methods to determine the spatial and temporal organization of these
evoked responses in DG after partial isolation, as described below.
First, we tested whether the DG at 2-3 and 14-15 weeks
after TBI and in normal slices showed a similar resistance to
repetitive firing in normal ACSF (Fig.
6A1,B1).
Field potentials were evoked by single or paired shocks to the
perforant path and recorded in the granule cell layer in coronal slices
from septal (~2.5 mm posterior to bregma) and temporal (~6.0 mm
posterior to bregma) regions from both ipsilateral and contralateral
hemispheres. When suprathreshold paired stimuli (50-150 µA, 100 µsec duration, 50-60 msec interval) were delivered in normal ACSF,
the pEPSP duration was ~15-35 msec in slices 2-3 and 14-15 weeks
after TBI. Each shock also evoked one or occasionally two
negative-going population spikes at latencies of 5-8 msec, reflecting
synchronous granule cell firing superimposed on the pEPSP (Fig.
6A1,B1, arrows). In normal
ACSF, increasing the stimulus intensity did not evoke more than two
population spikes in the DG in either TBI or control slices. For
between-group comparisons of numbers of evoked population spikes and
pEPSP durations, we standardized the intensity of paired stimuli to
evoke a first population spike of 80% maximum amplitude.

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Figure 6.
TBI induced a persistent hyperexcitability in the
DG that was revealed during disinhibition by GABAA
antagonists in hippocampal slices 14-15 weeks after TBI.
A1, In slices from normal controls in
standard ACSF, each of the paired-shock stimuli (60 msec interpulse
interval; 100 µsec shock duration) to the perforant path at 0.05 Hz
evoked a typical field response in the granule cell layer, consisting
of a pEPSP and a single orthodromic population spike
(arrow). A2, In the normal DG, addition
of GABAA antagonist picrotoxin (PTX, 50 µM) led to a slightly larger amplitude and longer
duration population spike, but not to epileptiform activity.
B1, In standard ACSF, and 15 weeks after TBI,
field-potential responses to perforant-path stimulation lacked
epileptiform activity, despite slightly longer than normal
pEPSPs. B2, In post-TBI slices in the presence of
GABAA antagonist picrotoxin (PTX, 50 µM), shocks to the perforant path induced burst responses
consisting of a prolonged depolarization envelope and multiple
population spikes. B3, These epileptiform features were
eliminated by bath addition of APV (35 µM).
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When subjected to these stimuli, DG in slices tested 2-3 and 14-15
weeks after TBI resembled normal DG in its resistance to repetitive
firing in normal ACSF (Fig. 6A1,B1, Table
1), as is typical of epileptic DG (Fricke
and Prince, 1984 ; Cronin et al., 1992 ; Lynch et al., 2000 ).
We next examined the effect of GABAA antagonists
on the propensity of the DG to fire repetitively during the weeks after
TBI, compared with normal controls. Addition of either
GABAA receptor blocker picrotoxin (20-50
µM) or bicuculline (50 µM) to ACSF led to
stimulus-evoked repetitive firing ("burst responses") in the DG of
the post-TBI slices from the ipsilateral and contralateral hemispheres
(Fig. 6B2, Table 1). In contrast, repetitive firing was never seen in normal slices at these standard stimulus intensities (Fig. 6A2). When burst responses were evoked in
disinhibited post-TBI slices, our standard paired-pulse stimuli
elicited up to six population spikes for the first pulse and eight
population spikes for the second pulse (Table 1). Whenever observed,
burst responses were sensitive to NMDA receptor antagonist APV, as
shown in the example of Figure 6B3. Bath addition of
APV (35-50 µM) reduced bursts to one or two
population spikes and pEPSP durations to ~10-20 msec (five of five
ipsilateral slices 2-3 weeks after TBI, six of six ipsilateral slices,
and four of four contralateral slices 15 weeks after TBI).
Optical localization of burst responses
To localize these burst responses within the DG, we partly
isolated the DG with knife cuts at the junction of CA3 and the DG (Fig.
7A1,B1) and
performed simultaneous field and optical recordings in these slices. As
shown in Figure 7B3 (+ Bic.), the bicuculline-induced bursts persisted in post-TBI slices subjected to a
knife cut and optical recordings. These optical recordings revealed the
spread of depolarization evoked by perforant-path stimulation in slices
from normal rats and 2-3 weeks after TBI (n = 10)
(Fig. 7A4,B4). Optical signals in Figure
7, A4 and B4, depict population depolarizations
based on fluorescence changes of the voltage-sensitive dye Di-2-ANEPEQ
(see Materials and Methods). In the typical normal and post-TBI slices
shown, fibers in the molecular layer of the suprapyramidal blade were
activated by single shocks (Fig. 7A1-2,B1-2).
Optical signals showed maximal changes in the molecular and granule
cell layers of the activated suprapyramidal blade, spreading minimally
into the hilus, CA3c, or the infrapyramidal blade in control (Fig.
7A4, ACSF) and TBI (Fig. 7B4,
ACSF) slices. Thus the spatial patterns of optical responses in the isolated DG in normal and post-TBI slices were similar.

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Figure 7.
During simultaneous field and voltage-sensitive
optical recordings, perforant-path stimulation evoked burst responses
in post-TBI slices in the DG even after isolation from CA3a and CA3b.
This activity peaked in the molecular and granule cell layers as shown
by the optical data. A1, This line
drawing shows the orientation of the hippocampus in a normal
slice, an isolating knife cut (gray band), the
positions of the stimulating (white dot) and recording
(red dot) electrodes, the image frame (open
rectangle), and the inactive reference region
(filled green box). Color bar was
used to display optical signals in pseudocolor as described in
Materials and Methods. A2, This representative image of
normal DG was acquired during a 4 msec exposure to excitation light.
Positions of stimulating (white dot) and recording
(red dot) electrodes are marked. A3,
Field potentials evoked by single shocks (100 µsec) consisted of a
pEPSP and a single population spike in standard ACSF. Addition of
bicuculline (+ Bic., 50 µM) did not lead
to epileptiform responses. Each trace is an average from
24 consecutive responses evoked every 10-20 sec during collection of
the optical data shown in A4 (see Materials and
Methods). A4, Panels show color-coded,
averaged fluorescence-ratio maps of voltage-sensitive dye signals
collected over the specified 4 msec periods after single shocks (at 0 msec). The No Stim. panels show the ratio
map with no stimulus, and near zero relative change in optical signals
corresponding to pseudocolors indigo to
purple. White lines trace the hilar
margin of the granule cell layer. Pixels corresponding to pseudocolors
below indigo (arrowhead) on the
color bar in A1 were turned transparent
in all panels of A4 except No Stim.
ACSF, In standard ACSF in this normal DG slice,
perforant-path-evoked depolarization peaked in the molecular and
granule cell layers, with minimal spread into the hilus, CA3c, or the
opposite blade. + Bic., Bath application of bicuculline
(50 µM) did not change the spatial pattern of
depolarization. B1, For a rat 3 weeks after TBI,
line drawing shows slice orientation as in
A1. B2, This representative image of the
post-TBI DG is analogous to A2. B3, As in
A3, however, addition of bicuculline (50 µM; + Bic) led to burst responses recorded
in the granule cell layer. B4, These optical responses
correspond to the field potentials in B3.
ACSF, In standard ACSF, 3 weeks after TBI,
perforant-path stimulation evoked depolarization that peaked in the
molecular and granule cell layers of the DG, with minimal spread into
the hilus, CA3c, or the opposite blade. + Bic, Bath
application of bicuculline (50 µM) increased the
amplitude of optical signals at longer latencies (compare corresponding
frames at 8-12, 16-20, and
40-44 msec with ACSF). During
disinhibited burst responses, depolarization peaked in the molecular
and granule cell layers, spreading into a limited area in the adjacent
infragranular region of the hilus.
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In post-TBI slices exposed to 50 µM bicuculline, single
shocks to the perforant path triggered burst responses (Fig.
7B3, + Bic.). During these burst responses,
optical signals were greater in amplitude at longer post-shock
latencies, compared with responses from the same slices in normal
ACSF (Fig. 7B4, compare 40-44
msec frames in + Bic vs ACSF; also see Fig.
8B). However, despite
this increase in optical signals during burst responses, depolarization remained predominantly localized in the molecular and granule cell
layers, spreading only into a narrow zone in the adjacent infragranular
hilar region (Fig. 7B4, + Bic; also see Fig.
8B).

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Figure 8.
Optically detected depolarization evoked by single
shocks to the perforant path was predominantly generated in the granule
cell and molecular layers compared with the hilus and CA3c. This
difference grew larger at post-shock latencies of 18 and 42 msec (i.e.,
images recorded 16-20 and 40-44 msec after shock, respectively)
during disinhibited burst responses in post-TBI slices relative to
normal controls. For a representative slice, the inset
shows the regions for which the mean difference in pixel intensity
between regions was calculated for inclusion in the group means plotted
in A and B. A, For normal
(open circles) and TBI (filled
circles) slices in ACSF, plotted on the ordinate are the mean
pixel intensities in the granule cell and molecular layers
(I(GCL + ML); inset: area
between dotted lines) minus mean pixel intensities in
the hilus and CA3c (I(H + CA3c);
inset: area between dotted and
solid lines) for average ratio images at designated
times after single shocks. The midpoints of 4 msec recording intervals
after single perforant-path shocks are indicated on the
abscissa; zero represents no stimulation. The
quantity I(GCL + ML) I(H + CA3c) was greater than zero
during the period 0 < time < 44, reflecting greater
depolarization in the molecular and granule cell layer than in the
hilus and CA3c. B, Same as A, but during
disinhibition that induced burst responses in post-TBI (but not in
normal) slices. These bursts were associated with signals that were
larger in the GCL and ML and significantly greater than controls at 18 msec (i.e., 16-20 msec) and 42 msec (i.e., 40-44 msec) after shock
(p < 0.05; Bonferroni two-tailed
t test). Error bars represent SD.
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Similar results were obtained whether the optical signals were recorded
first during ACSF perfusion and then in bicuculline or in the reverse
order (i.e., first during bicuculline application and then during
washout), thus ruling out significant loss of optical signals
attributable to repeated measurements and time (data not shown; four of
four slices).
To quantify these regional differences, we used the mean pixel value in
a region within an averaged ratio image as a measure of total
depolarization. Using this measure, the predominance of depolarization
in the molecular and granule cell layers is shown in Figure 8. Here the
mean pixel value in the granule cell and molecular layers minus the
mean in hilus and CA3c (IGCL + ML IH + CA3c) is plotted for optical
signals evoked by single perforant-path shocks in control and post-TBI
slices during exposure to normal ACSF (Fig. 8A) or
bicuculline (Fig. 8B). These difference values were
significantly above zero during bicuculline exposure in normal and
post-TBI slices, consistent with greater depolarization in the granule
cell and molecular layers than in the hilus and CA3c. Also, the
difference values were significantly higher at 16-20 and 40-44 msec
during bicuculline-induced bursts in post-TBI slices relative to
controls (Fig. 8B) (p < 0.05;
n = 17 controls and 22 post-TBI slices).
Timm evidence for MFSR after TBI
Hilar cell loss and seizure susceptibility in the DG, such as we
report above, are associated with MFSR in temporal-lobe epilepsy and
experimental models (Lynch et al., 1996 ; Parent and Lowenstein, 1997 ;
Bausch and McNamara, 1999 ). Typically, MFSR is first detected within
days after experimental lesions or seizures, is well developed by 2 weeks, and is long lasting (Laurberg and Zimmer, 1981 ; Cavazos et
al., 1991 ). To determine whether TBI induced MFSR in the DG, we
compared the distribution of mossy fiber terminals in standardized septal (Fig. 9A) and temporal
(Fig. 10A) locations
2-3, 15-16, and 24-27 weeks after TBI relative to normal controls.
We visualized mossy fiber terminals using Timm histochemistry, which
specifically stains these terminals because of their high content of
Zn2+ (Danscher, 1981 ). In all cases, Timm
granules were densely packed in the stratum lucidum of CA3 and in the
hilus where mossy fibers normally terminate. In normal cases, Timm
granules were sparse or absent in the supragranular region of the DG
(Figs. 9B, 10B, arrows) (nine
of nine rats), which is occupied mostly by granule cell dendrites and
interneuron processes.

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Figure 9.
MFSR developed in septal DG over weeks
after TBI, as detected by Timm staining. Septal MFSR was detected 2 weeks after TBI and became bilaterally more prominent at 16 and 27 weeks after TBI. MFSR is indicated by Timm granules in the SGL, at the
border of the granule cell (GC ) and inner molecular
layers (IML). A, A Timm-stained
horizontal section at ~3.6 mm deep with respect to bregma is from a
rat 3 weeks after TBI. The cavity in the somatosensory cortex (*) is
caused by TBI. Box corresponds to regions shown at
higher magnification in B-F.
B, Timm granules are sparse or absent in the SGL
(arrow) of a normal rat. C, At 3 weeks
after TBI, an abnormal density of Timm granules was detected in the
ipsilateral SGL (arrow) from A.
D, At 3 weeks after TBI, clusters of Timm granules were
found in the contralateral SGL (arrow) from
A. E, At 16 weeks after TBI, Timm
granules formed a confluent band in the ipsilateral SGL
(arrow), occasionally extending into the IML.
F, At 27 weeks after TBI, Timm granules formed a
confluent band in the ipsilateral SGL (arrow), extending
into the IML. GC, Granule cell layer; H,
hilus; IML, inner molecular layer. Scale bar in
B applies to
B-F.
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Figure 10.
Development of MFSR in the ipsilateral temporal
hippocampus weeks after TBI, as detected by Timm staining. Temporal
posttraumatic MFSR was first detected 16 weeks after TBI and became
more prominent by 27 weeks. MFSR is indicated by Timm granules in the
SGL at the border of granule cell (GC) and inner
molecular layers (IML). A, A Timm-stained
horizontal section ~4.8 mm posterior to bregma is from a rat 16 weeks
after TBI. CA3 cell loss is also apparent in this section (open
circle). Box corresponds to regions shown at
higher magnification in B-D.
B, In a normal rat, Timm granules were sparse or absent
in the SGL (arrow) and IML. C, At 16 weeks after TBI, MFSR was detected as Timm granules distributed along
the SGL (arrow). D, At 27 weeks after
TBI, MFSR intensified (compared with C), as Timm
granules formed larger clusters along the SGL (arrow).
DG, Dentate gyrus; GC, granule cell
layer; H, hilus; IML, inner molecular
layer. Scale bar in B applies to
B-D.
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At 2-3 weeks after TBI, we found evidence for MFSR in the septal
regions of both hemispheres (Fig. 9C,D,
arrows) but more prominently ipsilateral to the injury (Fig.
11, compare A,
B). In these post-TBI cases, Timm granules were found in the
ipsilateral supragranular layer with a distribution that ranged from
occasional clusters (score of 1) to regions of confluent dense laminar
bands (score of 5), with a median score of 3. In the contralateral
septal DG (Fig. 9D), the distribution of these Timm granules
ranged from sparse (score of 1) to occasional regions of confluence
(score of 3) with a median score of 2. Although these Timm granules
were found in the septal DG of both hemispheres 2-3 weeks after TBI, only the ipsilateral septal DG was statistically different from normal
controls at this time point (p < 0.05; Dunn's
test) (Fig. 11, compare A, B).

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Figure 11.
Summary of time course and regional
distribution of MFSR during the weeks after TBI, based on Timm-stain
rating on a five-point scale in standard locations. Posttraumatic MFSR
was found in septal and temporal regions of DG in both hemispheres and
intensified over time. Across all the time points tested, MFSR was more
prominent ipsilateral to TBI in a septal location than contralateral to
TBI in a temporal location. A, Ipsilateral septal MFSR
was statistically significant 2-3 weeks after TBI versus right
hemisphere in normal controls (2-3 W TBI vs
NC; *p < 0.05). MFSR intensified
from 2 to 15 and 24 weeks after TBI (2-3 W TBI vs
pooled data from 15-16 W TBI and 16 W
TBI + PTZ; *p < 0.05). B, Contralateral septal MFSR reached
statistical significance 15-16 weeks after TBI (pooled data vs left
hemisphere NC; p < 0.01) and persisted beyond 24 weeks after TBI. C,
Ipsilateral temporal MFSR reached statistical significance 15-16 weeks
after TBI (pooled data vs right hemisphere NC;
*p < 0.05) and persisted beyond 24 weeks after
TBI. D, Contralateral temporal MFSR was detected at
15-16 weeks after TBI and persisted beyond 24 weeks after TBI.
NC, Normal control, n = 9;
PTZ, PTZ controls (1 d after 1 injection of PTZ, 30 mg/kg, i.p.), n = 9; 3W Cr, 3 weeks
after craniotomy alone (no weight drop), n = 5;
16W Cr, 16 weeks after craniotomy alone,
n = 3; 2-3 W TBI, 2-3 weeks after TBI,
n = 9; 15-16 W TBI: 15-16 weeks after TBI,
n = 6; 16 W TBI + PTZ, 16 weeks after
TBI and 1 d after one injection of PTZ (30 mg/kg, i.p),
n = 7; 24-27 W TBI, 24-27 weeks after
TBI, n = 3.
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Timm evidence for increased MFSR over weeks after TBI
To assess the permanence of MFSR and to test whether MFSR
increased over time after TBI, we examined supragranular Timm staining 15-16 (Fig. 9E) and 24-27 weeks (Fig.
9F) after TBI. Notably, 15-16 weeks after TBI (Fig.
9E) (n = 13) in the ipsilateral septal DG,
we found Timm granules in the supragranular layer with a distribution that ranged from occasional regions of confluence (score of 3) to a
dense laminar distribution extending to the inner molecular layer
(score of 5), with a median score of 5 (Fig. 11A).
The progression of MFSR from 2-3 to 15-16 weeks after TBI in this
region was statistically significant (p < 0.05;
Dunn's test) (Figs. 9C,E,
11A). Similarly, at 15-16 weeks in the contralateral
septal DG, the Timm scores were significantly greater than normal
(p < 0.01; Dunn's test; median = 3) (Fig.
11A). Earlier, at 2-3 weeks, the Timm scores in this
region (median = 2) were not significantly different from normal.
Suggesting continued bilateral progression, MFSR in the ipsilateral
septal region of the DG reached the maximum asymptotic Timm score of 5 in all of three cases at 24-27 weeks after TBI (Figs. 9F,
11A), and in the contralateral septal DG, MFSR
reached a median score of 3 (Fig. 11B).
MFSR was less prominent in a temporal location
To evaluate MFSR away from the perpendicular axis of weight drop,
we examined a temporal location at ~4.8 mm deep with respect to
bregma (Fig. 10A) and also found supragranular Timm
granules in this temporal region bilaterally after TBI. At 2-3 weeks
after TBI, no significant MFSR had occurred in this temporal region bilaterally (raw data not shown; see summary in Fig.
11C,D). However, by 15-16 weeks after TBI, Timm
granules were more numerous bilaterally and statistically significant
ipsilaterally compared with normal controls (Figs. 10C,
11C,D). By 24-27 weeks after TBI, Timm granules formed clusters in the ipsilateral temporal DG (Fig.
10D) with a median score of 2 (Fig. 11C).
In summary, TBI induced progressive MFSR along the septotemporal axis
of the hippocampus that was more dense in the ipsilateral and septal
regions than in the contralateral and temporal regions at all time
points tested (Fig. 11).
MFSR was not detected after craniotomy or injection of PTZ
Induction of posttraumatic MFSR was critically dependent on impact
by weight drop. Specifically, we found no significant MFSR at 2-3 or
16 weeks after a simple craniotomy or 1 d after a single injection
of PTZ (n = 8, 3, and 9, respectively; raw data not shown; see summary in Fig. 11). Also, indistinguishable Timm scores were obtained for TBI subjects that did not receive PTZ
(n = 5) and for TBI subjects that were tested for
seizure susceptibility with one injection of PTZ 18-24 hr before
preparation for Timm histology (n = 8) (Fig. 11). These
last two groups were pooled for statistical comparisons.
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DISCUSSION |
In this study, we showed that weight-drop TBI induced a persistent
susceptibility to PTZ-evoked behavioral seizures for at least 15 weeks.
Similarly, we found DG hyperexcitability during disinhibition in
vitro up to 15 weeks after TBI, an important extension on reports
of DG hyperexcitability within 1 week after TBI (Reeves et al., 1995 ,
1997 ; Coulter et al., 1996 ; Toth et al., 1997 ). Using optical methods,
we localized this hyperexcitability to the granule cell and molecular
layers of the DG 2-3 weeks after TBI. Accompanying these functional
alterations, we also found MFSR in the septal DG of both hemispheres by
2 weeks after TBI, intensifying by 15 and 27 weeks. These results
demonstrate persistent seizure susceptibility after weight-drop TBI in
association with functional and structural changes in the DG, including
selective cell loss, hyperexcitability, and MFSR, which are implicated
in temporal-lobe epilepsy and may be similarly involved in PTE.
Weight-drop TBI as a model of severe human head injury
This well characterized model shares at least three key features
with severe human brain injury. First, human PTE often develops after
long delays (months to years) after injury and is persistent (Yoshii et
al., 1978 ; Salazar et al., 1985 ; Asikaninen et al., 1999 ), as was
seizure susceptibility after weight-drop TBI in the present study.
Second, human TBI is reported to lead to hippocampal and fornix volume
reductions (Bigler et al., 1997 ; Tate and Bigler, 2000 ), suggesting
hippocampal damage as seen in this and other rat TBI models (Lowenstein
et al., 1992 ; Toth et al., 1997 ). Third, severe head injuries in humans
can lead to lesions and fluid-filled cavities such as observed in this
model (Claussen et al., 1977 ; Koo and LaRoque, 1977 ; Yang et al.,
1997 ; Asikainen et al., 1999 ; Pierallini et al., 2000 ). Although
numerous differences between rat and human brains preclude a precise
correspondence regarding impact force, the relative extent of cortical
and hippocampal injury after TBI, and subsequent epileptogenesis, our
findings of persistent MFSR and seizure susceptibility in rat DG after TBI suggest the hypothesis that similar processes may occur in humans.
TBI-induced cell loss resembles hippocampal sclerosis
Our search for seizure susceptibility and MFSR after TBI followed
from observations of selective hippocampal cell loss after TBI. Using
Fluoro-Jade staining, we confirmed selective ipsilateral cell damage
and deafferentation during the week after weight-drop TBI, which slowed
subsequently. Our observations were generally consistent with reports
of hippocampal atrophy after TBI in humans (Tate and Bigler, 2000 ) and
gradual selective neuron loss in rats after fluid-percussion TBI
(Lowenstein et al., 1992 ; Toth et al., 1998 ) or kindling (Cavazos et
al., 1994 ).
TBI induced persistent susceptibility to PTZ-evoked seizures and DG
hyperexcitability in vitro
A key observation in this study was the persistent susceptibility
to PTZ-evoked generalized convulsions 15 weeks after TBI. Such
susceptibility is strong evidence for epileptogenesis (Mason and
Cooper, 1972 ; Craig and Colasanti, 1988 ) and is novel in a brain impact
model. We used PTZ to assess seizure susceptibility because longer-term
assays such as kindling could induce additional injury and/or MFSR
during the required days of testing, precluding measurement of
posttraumatic MFSR (Golarai et al., 1992 ).
We also found evidence for early and persistent hyperexcitability in
the DG circuitry in vitro after TBI. At 2-3 and 15-16 weeks after TBI, perforant-path stimulation during block of
GABAA inhibition evoked abnormal repetitive
firing in the DG that was sensitive to NMDA receptor blocker APV. Using
optical recordings in slices of isolated DG, this hyperexcitability was
localized mainly to the granule cell and molecular layers with less
hilar depolarization. These features of post-TBI hyperexcitability in the DG are consistent with the reported changes in NMDA receptor subunit composition after TBI (Osteen et al., 2000 ) and are similar to
the early, NMDA receptor-dependent hyperexcitability of the granule
cells after a single evoked seizure (Lynch et al., 2000 ) that persists
after kindling (Mody et al., 1988 ) and MFSR (Lynch et al., 2000 ).
Although the causal relations between NMDA receptor activation, MFSR,
and hyperexcitability are yet to be found, there is evidence that
enhanced NMDA receptor activation promotes structural plasticity such
as MFSR (Sutula et al., 1996 ; Aamodt and Constantine-Paton, 1999 ),
which may in turn facilitate recurrent excitation and seizure susceptibility (Tauck and Nadler, 1985 ; Sutula et al., 1992b ; Dudek et
al., 1994 ) (but see Sloviter, 1992 ; Kotti et al., 1996 ). In other
models, this hyperexcitability may facilitate epileptogenesis by
undermining a putative role of the DG in "damping" high-frequency communication between seizure-prone entorhinal cortex and hippocampus (Fricke and Prince, 1984 ; Heinemann et al., 1992 ). Our data are consistent with similar processes in PTE but do not exclude other, for
example cortical, mechanisms.
MFSR in posttraumatic and temporal-lobe epilepsies
Posttraumatic MFSR in our study resembled MFSR in human cases and
animal models of temporal-lobe epilepsy. Use of Timm scoring enabled us
to quantify the regional distribution and time course of MFSR and to
compare three of its features with models of temporal-lobe epilepsy
that were scored similarly (Cavazos et al., 1991 , 1992 ; Golarai et al.,
1992 ).
First, MFSR developed bilaterally beyond the hemisphere initially
injured by weight drop, resembling bilateral MFSR in several epilepsy
models (Laurberg and Zimmer, 1981 ; Stanfield, 1989 ; Cavazos et al.,
1992 ; Golarai et al., 1992 ) and consistent with unilateral loss of
bilaterally projecting hilar neurons (Seress and Ribak, 1983 ).
Second, MFSR was persistently more prominent in the hemisphere
ipsilateral to TBI, suggesting a persistently dominant role for the
injured hemisphere in PTE.
Third, MFSR intensified from 2 to 15 and 27 weeks after TBI.
This increase resembles progressive MFSR during kindling and differs
from the near maximal MFSR seen 2-3 weeks after a cluster of seizures
or the slight decrease in MFSR 3-4 months after termination of
kindling stimuli (Cavazos et al., 1991 ). By analogy to epilepsy models,
mutually compatible factors contributing to progressive posttraumatic
MFSR may include progressive hilar cell loss (Cavazos et al., 1994 ) and
cumulative DG seizure activity (Cavazos et al., 1991 ; Golarai et al.,
1992 ). Thus our observations of hilar cell loss, persistent DG
hyperexcitability 15 weeks after TBI, and progressive MFSR are
consistent with a positive feedback loop between progressive
excitotoxic cell death, hyperexcitability, and MFSR in the DG for
months after TBI.
Comparison of MFSR progression after TBI and kindling
Posttraumatic MFSR in our experiments may be compared with MFSR
during kindling (where the relationship between evoked seizure duration
and magnitude of MFSR is well documented) as follows. At 2-3, 15-16,
and 27 weeks after TBI, the Timm scores in the ipsilateral-septal DG
resembled similar increases above normal controls (on the same scale)
in rats that experienced 5, 35, and 100 electrographic seizures,
respectively, evoked by perforant-path stimulation (Cavazos et al.,
1991 ). Although our data do not address whether repeated seizures
propagate into septal DG during weeks after weight-drop TBI, they
permit predictions regarding plausible net duration of such putative
seizures. Specifically, the levels of posttraumatic MFSR 2-27 weeks
after TBI exceed what the kindling data would predict to arise from the
reported cumulative ~1 min of hippocampal epileptiform activity
during the first hours after TBI (Nilsson et al., 1994 ). Instead, these
data are more consistent with repeated focal after-discharges and
progressive cell loss over weeks. More studies are needed to test these
hypotheses directly.
MFSR and DG hyperexcitability after TBI
The contribution of MFSR to seizure susceptibility has
been controversial. MFSR is consistently correlated with temporal-lobe epilepsy in humans and in animal models (Sutula et al., 1992b ; Parent
and Lowenstein, 1997 ; Bausch and McNamara, 1999 ). Also, it is
associated with functional reorganization of the DG in vivo (Golarai and Sutula, 1996 ) and granule cell hyperexcitability in
vitro (Cronin et al., 1992 ; Wuarin and Dudek, 1996 ; Lynch et al.,
2000 ). However, other work suggests that MFSR increases excitatory drive on both excitatory and inhibitory neurons (Sloviter, 1992 ; Kotti
et al., 1996 ). Accordingly, our finding that bath application of a
GABAA antagonist was necessary to induce
repetitive firing in DG after TBI is consistent with a net increase of
excitatory drive on a mixed population of postsynaptic targets. As
suggested previously, granule cell hyperexcitability and MFSR are
likely to facilitate breakdown of the intrinsic seizure resistance of granule cells (Heinemann et al., 1992 ; Bausch and McNamara, 1999 ). This
loss of normal "filtering" in the DG may be particularly epileptogenic in combination with other TBI-induced changes such as
loss of interneurons (Toth et al., 1997 ), glia dysfunction (D'Ambrosio
et al., 1999 ), and development of seizure foci in other susceptible
circuitry, such as among the neocortical neurons near the site of
injury (Golarai et al., 1999 ; ). Furthermore, others have shown
neocortical sprouting and seizures after focal injury to correlate
positively with epileptogenesis (Jacobs et al., 2000 ) as well as
behavioral recovery (Hernandez and Schallert, 1988 ; Schallert et al.,
1997 ; Jones et al., 1994 ; Kolb, 1999 ). It remains to be
seen whether the hippocampal plasticity that we report after impact
injury is also associated with cognitive recovery or solely with
epileptic pathology.
 |
FOOTNOTES |
Received Feb. 21, 2001; revised July 17, 2001; accepted Aug. 10, 2001.
This work was supported by National Institute of Child Health and Human
Development Grant KO1HD01324 and National Institute of Neurological
Disorders and Stroke Grant NS-35644. Thanks to Dr. W. R. C. Shuttleworth for participation in Timm scoring, Dr. B. Skipper for
advice on statistical analysis, and D. King and D. M. Stilbeck for
assistance with surgeries.
Correspondence should be addressed to Dr. Golijeh Golarai, Department
of Psychology, Jordan Hall (Building 420), Stanford University,
Stanford, CA 94305-2130. E-mail:
ggolarai{at}psych.stanford.edu.
 |
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H. E. Scharfman, A. L. Sollas, R. E. Berger, and J. H. Goodman
Electrophysiological Evidence of Monosynaptic Excitatory Transmission Between Granule Cells After Seizure-Induced Mossy Fiber Sprouting
J Neurophysiol,
October 1, 2003;
90(4):
2536 - 2547.
[Abstract]
[Full Text]
[PDF]
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V. Santhakumar, J. Voipio, K. Kaila, and I. Soltesz
Post-Traumatic Hyperexcitability Is Not Caused by Impaired Buffering of Extracellular Potassium
J. Neurosci.,
July 2, 2003;
23(13):
5865 - 5876.
[Abstract]
[Full Text]
[PDF]
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H. S. White
Animal models of epileptogenesis
Neurology,
November 12, 2002;
59(90095):
S7 - 14.
[Abstract]
[Full Text]
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