Experience-dependent persistent expression of zif268during rest is preserved in the aged dentate gyrus
© Gheidi et al.; licensee BioMed Central Ltd. 2013
Received: 10 May 2013
Accepted: 10 September 2013
Published: 13 September 2013
Aging is typically accompanied by memory decline and changes in hippocampal function. Among these changes is a decline in the activity of the dentate gyrus (DG) during behavior. Lasting memory, however, is thought to also require recapitulation of recent memory traces during subsequent rest – a phenomenon, termed memory trace reactivation, which is compromised in hippocampal CA1 with progressive age. This process has yet to be assessed in the aged DG, despite its prominent role in age-related memory impairment. Using zif268 transcription to measure granule cell recruitment, DG activity in adult and aged animals was assessed both during spatial exploration and as animals remained at rest in the home cage in order to detect potential memory-related replay.
Consistent with the observation of memory trace reactivation in DG, the probability that an individual granule cell transcribes zif268 during rest in the animal’s home cage is increased by recent experience in a novel environment. Surprisingly, a comparable increase was observed in the probability of granule cells in the aged DG expressing zif268 during rest. Moreover, no significant age-related difference was observed in the number of granule cells expressing zif268 during rest. Thus, the number and pattern of granule cell expression of zif268 during rest is preserved in aged animals, despite a significant decline in exploration-related zif268 expression.
These data lead to the hypothesis that the input the aged DG receives from backprojections from CA3 (the region widely hypothesized to mediate reactivation) remains functionally intact despite loss of innervation from the perforant path.
Aging is often accompanied by memory decline, even in the absence of pathology [1, 2]. Consistent with the well-documented role of the hippocampus in memory formation, aged animals show robust memory deficits, and demonstrate major changes in hippocampal function during spatial processing. One of the most dramatic of these changes is a significant decrease in the activity of the dentate gyrus (DG). In fact, several researchers have proposed that the DG represents one of the major targets of age-related hippocampal dysfunction [1, 2].
Lasting memory, however, is thought to require the continual consolidation of encoded representations into more permanent states. This is hypothesized to involve coordinated recapitulation of memory traces while the hippocampus is “off-line” (i.e., not processing external stimuli), a phenomenon termed memory trace reactivation. In fact, the replay of behaviorally-elicited patterns of network spiking activity during subsequent resting states (i.e., both sleep and quiet wakefulness) has been repeatedly observed in multiple brain regions (for review, see [3, 4]). Moreover, it has recently been shown that memory trace reactivation in CA1 becomes less reliable with progressive age and this deficit correlates with declines in hippocampus-dependent memory . The fidelity of reactivation has yet to be assessed in the aged DG, however, despite the fact that this region participates in reactivation  and plays a critical role in age-related memory impairment .
This lack of data may largely be due to technical challenges posed by the sparsity of activity in granule cells . These challenges are further magnified by the fact that DG activity is further reduced in aged animals . These obstacles, however, can be overcome by the use of histological techniques that are capable of recording the activity of thousands of cells during both spatial behavior  and subsequent replay [10, 11]. Such techniques may be conducted using zif268 (also named egr1), an immediate-early gene that is critical for enduring memory and synaptic plasticity  and that is thought to label cells expressing place fields [9–11]. This is because the transcription of zif268 provides estimates of granule cell activity [13, 14] that are similar to place cell recordings during spatial navigation in comparable conditions [15–17].
Using zif268, granule cell activity was assessed in both adult and aged, memory-impaired animals during spatial processing and adjacent periods of rest in the home cage. Observations of zif268 transcription during rest in the home cage in the same granule cells that transcribed zif268 during previous spatial navigation provide an estimate of the proportion of the granule cell population engaging in replay of recent spiking activity. Comparing these estimates in adult and aged animals can address whether this process is compromised with progressive age in the DG, consistent with previous observations in hippocampal CA1.
Experiment 1: experience-dependence of DG zif268 expression
Twenty male Fischer 344 rats (Harlan Sprague Dawley, Indianapolis, IN) aged 8–12 months were used in this experiment. All rats were individually housed on a 12:12 hour light cycle with ad lib access to food and water. Prior to behavioral testing, all animals were handled 15 min/day for 10 days to habituate them to the general handling procedure. The procedures described below were carried out at least 2 hours after the commencement of the dark cycle. All procedures were approved by the animal care committee of Wilfrid Laurier University and were carried out in accordance with the guidelines of the Canadian Council on Animal Care.
Spatial exploration was conducted as previously described . Rats were divided into 2 behavioral groups. Animals in both of these groups were exposed to a novel environment consisting of an open field (50 × 76 cm) with three black walls and one white wall, each 20 cm high. The open field was divided into 9 equal grids, and during exploration, rats were randomly placed within a different grid every 15 seconds for 5 minutes in order to ensure all aspects of the environment were sampled equally. Although animals were free to move around the environment during the 15 seconds between placements, this short interval results in very little variation in exploratory behavior. One group (immediate; n = 6) was killed, as described below, immediately following this exploration. A second group (delay; n = 7) was returned to their home cage following the exploration and remained there undisturbed for 25 min before being removed and killed. This provides an assessment of the transcription of zif268 induced by spatial navigation, as well as zif268 transcription occurring during rest in the home cage during a comparable period of time approximately 30 minutes before (in the case of the immediate group) or approximately 30 minutes after (in the case of the delay group) the behavior. Animals were not monitored during their resting periods within the home cage, and as a result the state of the animal while in the home cage (i.e., quiet wakefulness vs. slow-wave or paradoxical sleep) cannot be confirmed. Previous multi-unit recordings, however, show that reactivation can be observed in any of these states [3, 4]. The environments were cleaned thoroughly with 2% acetic acid between subjects.
An additional caged control group (n = 7) was killed directly from the home cage, without any behavioral handling as a negative control in order to establish baseline levels of zif268 expression.
Experiment 2: the effect of aging on zif268 recapitulation
This experiment included 12 adult (aged 9–12 months) and 12 aged (23–26 months) male Fischer 344 rats (Harlan Sprague Dawley, Indianapolis, IN). All rats were individually housed on a 12:12 hour light cycle with ad lib access to food and water. All procedures were carried out at least 2 hours after the commencement of the dark cycle.
All animals were handled 15 min/day for 10 days to habituate them to general handling. All animals’ spatial learning abilities were then assessed using the Morris swim task, as previously described . A 1.83 m diameter circular watermaze was located in a well-lit room containing prominent local and distal visual cues and filled with water at 25 ± 1°C made opaque with tempura paint (Scholar’s Choice, London, ON). Each animal’s location was tracked using an overhead video camera connected to Any-maze tracking software (Stoelting, Kiel, WI).
The rats first received 6 spatial learning trials per day for 4 days. At the beginning of each trial, rats were placed into the water, facing the maze wall, at one of four start positions (i.e., North, West, South, and East). Rats could escape by swimming to a 12 cm diameter platform ~1 cm below the surface of the water. If an animal failed to reach the platform within 120 s, it was guided there by the experimenter. Every trial ended with the rat sitting on the platform for 30 s. Following spatial training, a probe trial in the absence of the platform tested retention of the platform location. This was followed by 12 visible platform trials with the platform marked and clearly visible above the waterline, to ensure that age-related differences in spatial trials are not due to deficits visual acuity or motor ability. Any aged animals performing outside the range of adult animals in the visible platform trials were excluded from behavioral analysis.
Seven days after the Morris swim task was completed, passive spatial exploration was conducted as described in experiment 1. This passive exploration manipulation is particularly important for age comparisons, since aged rats will navigate considerably less than adults if allowed to navigate freely. Six adult and 6 aged animals were exposed to the novel environment and returned to their home cages for 25 min before being removed and killed. The remaining 6 adult and 6 aged caged control animals were killed directly from the home cage as negative controls.
Methods common to both experiments
At the end of behavioral testing, the rats were anesthetized by isoflurane, decapitated, and their brains were rapidly removed and flash frozen in isopentane submerged in ethanol/dry ice. The frozen brains were then grouped, using optimal cutting temperature (OCT) medium (Fisher Scientific, Whitby, ON) to include tissue from all behavioral groups in a block. Coronal sections (20 μm-thick) were obtained from each block and collected on Superfrost Plus slides (VWR Scientific). Because these brains were sectioned together in a single block of OCT, these sections being compared across the block were anatomically matched.
Fluorescent in situ hybridization was then performed on these slides as previously described [9, 13]. Briefly, digoxigenin-labeled zif268 antisense riboprobes were synthesized using a transcription kit (Ambion, Austin, TX) and a nucleotide mix containing digoxigenin-labeled UTP (Roche Applied Science, Montreal, PQ), denatured, and hybridized with the tissue overnight at 56°C. Following post-hybridization washes of gradually increasing stringency and 2% H2O2 to quench endogenous peroxidase, the riboprobe was detected with anti-digoxigenin-HRP conjugate (Roche) and a cyanine-3 substrate kit (PerkinElmer Life Sciences, Boston, MA). Slides were counterstained with DAPI (Sigma), coated with Vectashield anti-fade media (Vector Labs, Burlington, ON), and sealed.
Group differences in proportion of cells transcribing zif268 during epoch 1, epoch2, or during both epochs (i.e., category 4 above) were analyzed with ANOVA, using condition (i.e., immediate, delay, and caged control) and region (i.e., infrapyramidal or suprapyramidal blade) as factors, followed by Tukey’s HSD post hoc tests. To assess whether zif268 transcription in individual granule cells during rest is predicted by those cells transcribing zif268 during exploration, the same methods were used that have been applied previously to other hippocampal and cortical regions [10, 11]. Briefly, an estimate of the overlap in transcription expected by random chance was generated for each animal as the product of the proportion of cells active during epoch 1 and those active during epoch 2. For instance, if within an individual animal 4% of granule cells transcribed zif268 during exploration and 1% of cells transcribed zif268 during rest, the expected random overlap between these two active populations would be 0.4% (0.04 × 0.01 = 0.004). The estimated overlap based on random chance in a given animal and the overlap observed in that animal (i.e., category 4 above) was then compared using a paired t-test.
The statistical comparisons in experiment 1 were derived from a count of 13,168 granule cells from the suprapyramidal blade of the DG and 9,414 granule cells from the infrapyramidal blade of the DG, while experiment 2 contained counts from 15,247 suprapyramidal granule cells.
Experiment 1: experience-dependence of DG zif268 expression
Spatial exploration-induced zif268 transcription
Previous experience alters zif268 transcription during rest
Analysis of rest episodes (Figure 3) reveals a significant main effect of both region (F1,34 = 27.41; p < 0.001) and condition (F2,34 = 4.563; p = 0.02) on zif268 expression during rest, with no significant interaction (F2,34 = 1.27; p = 0.29). Post-hoc tests show that, while the number of granule cells transcribing zif268 during rest in immediate animals is comparable to caged controls (suprapyramidal blade: p = 0.54; infrapyramidal blade: p = 0.96), delay animals show a significant increase in the number of granule cell transcribing zif268, restricted to the suprapyramidal blade (suprapyramidal blade: p = 0.03; infrapyramidal blade: 0.63). This increase in transcription differs substantially from CA1 under comparable conditions [10, 11]. The critical test to determine if the zif268 expression can be observed in a pattern that is consistent with memory trace reactivation in this region, however, is not tied to the number of active cells. If, as hypothesized, zif268 transcription during rest is driven by the replay of the patterns of spikes induced by recent behavior, transcription during rest should predominantly occur in the same cells that were active during previous spatial exploration.
Repeated zif268 transcription in common cell populations
Increased probability of zif268 transcription in granule cells recruited by recent behavior
The order of behavioral experience further altered the proportion of granule cells responding to exploration that also transcribed zif268 during a previous rest (main effect of condition: F2,34 = 17.50; p < 0.001). However, this experience affected the blades of the DG differently (main effect of region: F1,34 = 1.27; p = 0.29; region by condition interaction: F2,34 = 5.15; p = 0.01). That is, granule cells in the delay group had a significantly higher probability of expressing zif268 during both exploration and rest in the suprapyramidal blade. In contrast, no difference is seen among granule cells in the infrapyramidal blade based on the order of experience (Figure 4). These findings are consistent with the hypothesis that zif268 transcription is driven the recapitulation of recent activity patterns, and shows that it is largely the suprapyramidal blade that participates in this process.
Experiment 2: the effect of aging on zif268 recapitulation
Aged animals have impaired spatial learning
Consistent with previous reports (e.g., [13, 22–24]), aged animals showed a deficit in spatial, but not cued, trials of the Morris swim task (Figure 4). All rats swam progressively shorter path lengths over trials, creating a significant effect of training day (F3,66 = 5.51; p = 0.002). Although no main effect of age was observed on path length (F1,22 = 0.99; p = 0.33), a significant age by training day interaction was apparent (F3,66 = 3.53; p = 0.02). Post hoc analyses confirmed that age-related differences grew progressively larger throughout training, reaching significance on training day 4 (day 1: p = 0.34; day 2: p = 0.82; day 3: p = 0.14; day 4: p = 0.02). These data confirm that the aged rats in the present study had impaired spatial memory.
A consistent age-related deficit in spatial memory was also observed during the probe trial (Figure 5b). Adult rats swam a greater distance in the target platform quadrant (F1,22 = 4.95; p = 0.04) than aged rats. Similarly, adult rats spent a significantly greater proportion of time in the quadrant that previously held the escape platform than the opposite quadrant (t11 = 3.84; p = 0.003), while aged rats did not (t11 = 0.57; p = 0.58).
Age-related decrease in behaviorally-induced zif268 transcription
Repeated zif268 transcription is preserved in granule cells of aged animals
In contrast to zif268 transcribed during spatial navigation, adult and aged animals had equivalent numbers of granule cells expressing zif268 during rest. That is, no significant differences were observed based on condition (F1,20 = 1.52; p = 0.23), age (F1,20 = 1.09; p = 0.31), or their interaction (F1,20 = 1.02; p = 0.32). This result is in contrast to experiment 1, in which a significant increase in the number of granule cells expressing zif268 was observed during rest in delay animals. This may not be surprising, given the substantial variation that is seen in measures of reactivation . Observing that more cells are active during rest, however, is not necessary to conclude that a pattern of zif268 expression consistent with reactivation is occurring. It is the pattern, rather than quantity, of zif268 expression that is the key test for this conclusion.
No significant age-related difference was observed in the probability that a granule cell that was active during rest was the same cell that was active during the previous exploration behavior. That is, the probability that a cell transcribing zif268 during rest also transcribed zif268 during previous behavior was greater than expected by chance for both adult (t5 = 9.64; p < 0.001) and aged (t5 = 6.12; p = 0.002) animals. Moreover, no significant age-related difference was observed in the proportion of cells expressing zif268 during both exploration and rest, either relative to the entire granule cell population (F1,10 = 3.32; p = 0.11) or relative to the number of cells expected by chance (F1,10 = 2.32; p = 0.16).
In the aged DG, the probability that a granule cell that was active during behaviour was (a) more likely than chance to be active during subsequent rest and (b) was equally likely to be active during both episodes as granule cells in the adult DG. While the absolute probability is lower in experiment 2, it remains an order of magnitude grater than was observed in the immediate group or in the infrapyramidal blade in experiment 1. Although it remains possible that significant differences may emerge if tested in a much larger population of animals, it is clear that the expression of zif268 in the aged DG during rest is relatively preserved. These data are particularly striking given the profound decrease in the number of cells transcribing zif268 during exploration behavior in aged animals.
The current findings are consistent with the hypothesis that IEG expression during resting states captures experience-specific changes in neuronal activity following spatial experience. These data also support recent studies showing that granule cells maintain key physiological distinctions relative to other hippocampal regions and provide novel insights into how the behavior of these cells changes with progressive age.
The current data show that a subpopulation of granule cells in the DG are predisposed to being repeatedly active (or at least being engaged in sufficient activity to induce plasticity that coincides with zif268 transcription) in any combination of two epochs, even in the absence of previous experience (i.e., in the immediate group). This is in striking contrast to unit recordings and IEG expression data from other hippocampal regions, both of which indicate that the probability that a single cell will be active during both rest and behavior under similar conditions is approximately equal to random chance with replacement. These data, however, are consistent with Shen et al.’s report  that ~50% of cells active during a single rest episode are also active during subsequent maze exploration. However, because these data were pooled from a large number of sessions after the rats were trained over several days, it is also possible that correlations between spatial behavior and preceding rest episodes reflects accumulated memories from the previous days’ experiences. In fact, such “preplay” has been previously reported in CA1 [27, 28]. Based on these data, and others [16, 17], it seems likely that the distribution of firing thresholds in the granule cell population is highly variable, and those cells with the lowest thresholds are predisposed to become active, both in multiple environments and between active behavior and resting states. Spatial experience, however, further increases this high “basal” correlation, making it even more likely that granule cells that are active during rest are the same cells that were active during spatial experience.
The current data show that this is also true in the aged DG – despite a decline of the number of granule cells transcribing zif268 during exploration behavior, the proportion of cells concurrently expressing zif268 in the foci and cytoplasm was not statistically different. This indicates that zif268 expression during resting states in general and expression during bouts of reactivation in particular are relatively preserved in the aged DG. This dissociation between the age-related changes in zif268 expression during rest and during exploratory behavior suggests that the source for these changes may be likewise dissociable. This notion, in turn, has implications both for the communication between CA3 and DG as well as how this pathway changes with progressive aging.
During exploratory behavior, the decrease in the number of granule cells transcribing zif268 in aged animals, relative to adult ones, solely during spatial exploration is likely caused by decreased innervation from the perforant path. The input to the DG from the perforant path declines by approximately one-third with progressive aging [29–31]. This decreased excitatory input to the aged DG is the likely reason for the attenuation of activity-related gene expression with age. In contrast, the reactivation-related expression of zif268 in the DG during rest is relatively preserved, and we hypothesize that this activity is mediated by the backprojection from CA3. This hypothesis is supported by the fact that both computational models (e.g., [32–34]) and experimental evidence (e.g., [34–38]) support CA3 as the most likely source of recapitulation of recent activity patterns. This is thought to stimulate DG either through direct backprojections from CA3c (nearest the hilus), or through indirect projections via mossy cells [39, 40]. The current data suggest that these backprojections from CA3 to the DG are functionally intact in the aged hippocampus, and remains equally capable of inducing reactivation of recent traces in the aged DG despite a decline in granule cell activity levels during exploratory behavior in senescent animals. This hypothesis is consistent both with recent anatomical  and functional imaging data  suggesting that intrinsic connections of the hippocampus are relatively intact in aged animals. Moreover, the dissociation between resting and behaviorally-driven zif268 expression in the aged DG is consistent with a wealth of data suggesting an increased emphasis in CA3 on the retrieval of previously stored patterns relative to input from the perforant path (see  for review). Although the preserved amount and pattern of zif268 expression during rest in aged animals is consistent with the notion that encoding failure (rather than impaired consolidation per se) is the major cause of deficits in hippocampus-dependent behaviors in aged animals , this conclusion must be made with caution.
Recent studies demonstrate that the reactivation deficits that occur in aged animals are actually quite subtle. That is, when pattern reactivation is quantified on the basis of cell pair correlations, no age-related deficit is observed . In contrast, when the temporal sequence of reactivation patterns across cell pairs is accounted for, a deficit emerges that correlates with memory deficits across animals . It was proposed by Gerrard et al. that only sequence reactivation relies on associative synaptic plasticity, and recent data  showing that reactivation critically depends on co-firing of cells during behaviour within brief (50 ms) time intervals are consistent with this claim. However, precise temporal order is not required to induce long-term potentiation (LTP) in at least some hippocampal synapses [43, 44], and reactivation still occurs if cells do not exhibit a temporal bias in their firing within the time required to induce spike timing-dependent plasticity . These data, combined with the fact that the expression of IEGs such as zif268 are required for enduring LTP , and long-term stability of place fields  suggests that neither zif268 expression, nor the enduring plasticity that it mediates, require cells to fire in a strictly preserved temporal sequence. Definitive assessment of the sensitivity of zif268 expression to the replay of specific sequences, however, would require further experiments using tasks involving more stereotyped paths of navigation. In open field exploration, as conducted here, animals take many different paths through the same physical space. Because the animal will not consistently cross the same path, cell pairs will not consistently fire in a set temporal sequence.
Despite the open questions that remain, the current data show that the granule cells that express zif268 in the DG during resting states can be predicted on the basis of recent experience. That is, using zif268 catFISH, the majority of cells transcribing zif268 within the home cage during epoch 2 were the same cells that were active during a distinct episode of spatial experience in a different location 30 minutes earlier during epoch 1. This continued expression is consistent with memory trace reactivation in the DG, and this pattern is preserved in aged animals, despite significant declines in zif268 expression during spatial exploration. Collectively, these data demonstrate that imaging zif268 expression may be particularly valuable for detecting activation of neurons during resting states despite low numbers of active cells, particularly in structures with sparse activity such as the DG.
This research was supported by the Natural Sciences and Engineering Research Council of Canada and the Ontario Mental Health Foundation.
- Burke SN, Barnes CA: Neural plasticity in the ageing brain. Nat Rev Neurosci. 2006, 7: 30-40. 10.1038/nrn1809.View ArticlePubMedGoogle Scholar
- Wilson IA, Gallagher M, Eichenbaum H, Tanila H: Neurocognitive aging: prior memories hinder new hippocampal encoding. Trends Neurosci. 2006, 29: 662-670. 10.1016/j.tins.2006.10.002.PubMed CentralView ArticlePubMedGoogle Scholar
- O’Neill J, Pleydell-Bouverie B, Dupret D, Csicsvari J: Play it again: reactivation of waking experience and memory. Trends Neurosci. 2010, 33: 220-229. 10.1016/j.tins.2010.01.006.View ArticlePubMedGoogle Scholar
- McNaughton BL, Barnes CA, Battaglia FP, Bower MR, Cowen SL, Ekstrom AD, Hoffman KL, Houston FP, Karten Y, Lipa P, Pennartz CM, Sutherland GR: Off-line reprocessing of recent memory and its role in memory consolidation: a progress report. Sleep and brain plasticity. Edited by: Stickgold B. 2003, Oxford: Oxford UP, 225-246.View ArticleGoogle Scholar
- Gerrard JL, Burke SN, McNaughton BL, Barnes CA: Sequence reactivation in the hippocampus is impaired in aged rats. J Neurosci. 2008, 28: 7883-7890. 10.1523/JNEUROSCI.1265-08.2008.PubMed CentralView ArticlePubMedGoogle Scholar
- Shen J, Kudrimoti HS, McNaughton BL, Barnes CA: Reactivation of neuronal ensembles in hippocampal dentate gyrus during sleep after spatial experience. J Sleep Res. 1998, 7: 6-16. 10.1046/j.1365-2869.7.s1.2.x.View ArticlePubMedGoogle Scholar
- Small SA, Chawla MK, Buonocore M, Rapp PR, Barnes CA: Imaging correlates of brain function in monkeys and rats isolates a hippocampal subregion differentially vulnerable to aging. Proc Natl Acad Sci USA. 2004, 101: 7181-7186. 10.1073/pnas.0400285101.PubMed CentralView ArticlePubMedGoogle Scholar
- Chawla MK, Guzowski JF, Ramirez-Amaya V, Lipa P, Hoffman KL, Marriott LK, Worley PF, McNaughton BL, Barnes CA: Sparse, environmentally selective expression of Arc RNA in the upper blade of the rodent fascia dentata by brief spatial experience. Hippocampus. 2005, 15: 579-586. 10.1002/hipo.20091.View ArticlePubMedGoogle Scholar
- Guzowski JF, McNaughton BL, Barnes CA, Worley PF: Environment-specific expression of the immediate-early gene Arc in hippocampal neuronal ensembles. Nat Neurosci. 1999, 2: 1120-1124. 10.1038/16046.View ArticlePubMedGoogle Scholar
- Marrone DF, Schaner MJ, McNaughton BL, Worley PF, Barnes CA: Immediate-early gene expression at rest recapitulates recent experience. J Neurosci. 2008, 28: 1030-1033.View ArticlePubMedGoogle Scholar
- Gheidi A, Satvat E, Marrone DF: Experience-dependent recruitment of Arc expression in multiple systems during rest. J Neurosci Res. 2012, 90: 1820-1829. 10.1002/jnr.23057.View ArticlePubMedGoogle Scholar
- Jones MW, Errington ML, French PJ, Fine A, Bliss TV, Garel S, Charnay P, Bozon B, Laroche S, Davis S: A requirement for the immediate early gene Zif268 in the expression of late LTP and long-term memories. Nat Neurosci. 2001, 4: 289-296. 10.1038/85138.View ArticlePubMedGoogle Scholar
- Marrone DF, Adams AA, Satvat E: Increased pattern separation in the aged fascia dentata. Neurobiol Aging. 2011, 32 (2317): e23-e32.PubMedGoogle Scholar
- Satvat E, Schmidt B, Argraves M, Marrone DF, Markus EJ: Changes in task demands alter the pattern of zif268 expression in the dentate gyrus. J Neurosci. 2011, 31: 7163-7167. 10.1523/JNEUROSCI.0094-11.2011.View ArticlePubMedGoogle Scholar
- Jung MW, McNaughton BL: Spatial selectivity of unit activity in the hippocampal granular layer. Hippocampus. 1993, 3: 165-182. 10.1002/hipo.450030209.View ArticlePubMedGoogle Scholar
- Leutgeb JK, Leutgeb S, Moser MB, Moser EI: Pattern separation in the dentate gyrus and CA3 of the hippocampus. Science. 2007, 315: 961-966. 10.1126/science.1135801.View ArticlePubMedGoogle Scholar
- Alme CB, Buzzetti RA, Marrone DF, Leutgeb JK, Chawla MK, Schaner MJ, Bohanick JD, Khoboko T, Leutgeb S, Moser EI, Moser MB, McNaughton BL, Barnes CA: Hippocampal granule cells opt for early retirement. Hippocampus. 2010, 20: 1109-1123. 10.1002/hipo.20810.View ArticlePubMedGoogle Scholar
- Paxinos G, Watson C: The rat brain in stereotaxic coordinates. 2007, London: Academic pressGoogle Scholar
- Ramirez-Amaya V, Vazdarjanova A, Mikhael D, Rosi S, Worley PF, Barnes CA: Spatial exploration-induced Arc mRNA and protein expression: evidence for selective, network-specific reactivation. J Neurosci. 2005, 25: 1761-1768. 10.1523/JNEUROSCI.4342-04.2005.View ArticlePubMedGoogle Scholar
- Snyder JS, Radik R, Wojtowicz JM, Cameron HA: Anatomical gradients of adult neurogenesis and activity: young neurons in the ventral dentate gyrus are activated by water maze training. Hippocampus. 2009, 19: 360-370. 10.1002/hipo.20525.PubMed CentralView ArticlePubMedGoogle Scholar
- Snyder JS, Ramchand P, Rabbett S, Radik R, Wojtowicz JM, Cameron HA: Septo-temporal gradients of neurogenesis and activity in 13-month-old rats. Neurobiol Aging. 2011, 32: 1149-1156. 10.1016/j.neurobiolaging.2009.05.022.PubMed CentralView ArticlePubMedGoogle Scholar
- Shen J, Barnes CA: Age-related decrease in cholinergic synaptic transmission in three hippocampal subfields. Neurobiol Aging. 1996, 17: 439-451. 10.1016/0197-4580(96)00020-6.View ArticlePubMedGoogle Scholar
- Gage FH, Dunnett SB, Björklund A: Spatial learning and motor deficits in aged rats. Neurobiol Aging. 1984, 5: 43-48. 10.1016/0197-4580(84)90084-8.View ArticlePubMedGoogle Scholar
- Gallagher M, Burwell R, Burchinal M: Severity of spatial learning impairment in aging, development of a learning index for performance in the Morris water maze. Behav Neurosci. 1993, 107: 618-626.View ArticlePubMedGoogle Scholar
- Penner MR, Roth TL, Chawla MK, Hoang LT, Roth ED, Lubin FD, Sweatt JD, Worley PF, Barnes CA: Age-related changes in Arc transcription and DNA methylation within the hippocampus. Neurobiol Aging. 2011, 32: 2198-2210. 10.1016/j.neurobiolaging.2010.01.009.PubMed CentralView ArticlePubMedGoogle Scholar
- Battaglia FP, Sutherland GR, Cowen SL, McNaughton BL, Harris KD: Firing rate modulation: a simple statistical view of memory trace reactivation. Neural Netw. 2005, 18: 1280-1291. 10.1016/j.neunet.2005.08.011.View ArticlePubMedGoogle Scholar
- Louie K, Wilson MA: Temporally structured replay of awake hippocampal ensemble activity during rapid eye movement sleep. Neuron. 2001, 29: 145-156. 10.1016/S0896-6273(01)00186-6.View ArticlePubMedGoogle Scholar
- Dragoi G, Tonegawa S: Preplay of future place cell sequences by hippocampal cellular assemblies. Nature. 2011, 469: 397-401. 10.1038/nature09633.PubMed CentralView ArticlePubMedGoogle Scholar
- Geinisman Y, de Toledo-Morrell L, Morrell F: Loss of perforated synapses in the dentate gyrus: morphological substrate of memory deficit in aged rats. Proc Natl Acad Sci USA. 1986, 83: 3027-3031. 10.1073/pnas.83.9.3027.PubMed CentralView ArticlePubMedGoogle Scholar
- Geinisman Y, deToledo-Morrell L, Morrell F, Persina IS, Rossi M: Age-related loss of axospinous synapses formed by two afferent systems in the rat dentate gyrus as revealed by the unbiased stereological disector technique. Hippocampus. 1992, 2: 437-444. 10.1002/hipo.450020411.View ArticlePubMedGoogle Scholar
- Smith TD, Adams MM, Gallagher M, Morrison JH, Rapp PR: Circuit-specific alterations in hippocampal synaptophysin immunoreactivity predict spatial learning impairment in aged rats. J Neurosci. 2000, 20: 6587-6593.PubMedGoogle Scholar
- Rolls ET, Treves A: Neural networks in the brain involved in memory and recall. Prog Brain Res. 1994, 102: 335-341.View ArticlePubMedGoogle Scholar
- Treves A, Rolls ET: Computational constraints suggest the need for two distinct input systems to the hippocampal CA3 network. Hippocampus. 1992, 2: 189-199. 10.1002/hipo.450020209.View ArticlePubMedGoogle Scholar
- Buzsáki G: Two-stage model of memory trace formation: a role for “noisy” brain states. Neuroscience. 1989, 31: 551-570. 10.1016/0306-4522(89)90423-5.View ArticlePubMedGoogle Scholar
- Buzsáki G: Hippocampal sharp waves: their origin and significance. Brain Res. 1986, 398: 242-252. 10.1016/0006-8993(86)91483-6.View ArticlePubMedGoogle Scholar
- Behrens CJ, van den Boom LP, de Hoz L, Friedman A, Heinemann U: Induction of sharp wave-ripple complexes in vitro and reorganization of hippocampal networks. Nature Neurosci. 2005, 8: 1560-1567. 10.1038/nn1571.View ArticlePubMedGoogle Scholar
- Nakashiba T, Young JZ, McHugh TJ, Buhl DL, Tonegawa S: Transgenic inhibition of synaptic transmission reveals role of CA3 output in hippocampal learning. Science. 2008, 319: 1260-1264. 10.1126/science.1151120.View ArticlePubMedGoogle Scholar
- Nakashiba T, Buhl DL, McHugh TJ, Tonegawa S: Hippocampal CA3 output is crucial for ripple-associated reactivation and consolidation of memory. Neuron. 2009, 62: 781-787. 10.1016/j.neuron.2009.05.013.PubMed CentralView ArticlePubMedGoogle Scholar
- Li XG, Somogyi P, Ylinen A, Buzsaki G: The hippocampal CA3 network: an in vivo intracellular labeling study. J Comp Neurol. 1994, 339: 181-208. 10.1002/cne.903390204.View ArticlePubMedGoogle Scholar
- Scharfman HE: The CA3 “backprojection” to the dentate gyrus. Prog Brain Res. 2007, 163: 627-637.PubMed CentralView ArticlePubMedGoogle Scholar
- Gerrard JL, Kudrimoti H, McNaughton BL, Barnes CA: Reactivation of hippocampal ensemble activity patterns in the aging rat. Behav Neurosci. 2001, 115: 1180-1192.View ArticlePubMedGoogle Scholar
- O’Neill J, Senior TJ, Allen K, Huxter JR, Csicsvari J: Reactivation of experience-dependent cell assembly patterns in the hippocampus. Nat Neurosci. 2008, 11: 209-215. 10.1038/nn2037.View ArticlePubMedGoogle Scholar
- Isaac JT, Buchanan KA, Muller RU, Mellor JR: Hippocampal place cell firing patterns can induce long-term synaptic plasticity in vitro. J Neurosci. 2009, 29: 6840-6850. 10.1523/JNEUROSCI.0731-09.2009.PubMed CentralView ArticlePubMedGoogle Scholar
- Wittenberg GM, Wang SS: Malleability of spike-timing-dependent plasticity at the CA3-CA1 synapse. J Neurosci. 2006, 26: 6610-6617. 10.1523/JNEUROSCI.5388-05.2006.View ArticlePubMedGoogle Scholar
- O’Neill J, Senior T, Csicsvari J: Place-selective firing of CA1 pyramidal cells during sharp wave/ripple network patterns in exploratory behaviour. Neuron. 2006, 49: 143-155. 10.1016/j.neuron.2005.10.037.View ArticlePubMedGoogle Scholar
- Renaudineau S, Poucet B, Laroche S, Davis S, Save E: Impaired long-term stability of CA1 place cell representation in mice lacking the transcription factor zif268/egr1. Proc Natl Acad Sci USA. 2009, 106: 11771-11775. 10.1073/pnas.0900484106.PubMed CentralView ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.