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1Departments of Psychology, 2Physiology, and 3Centre for Neuroscience, University of Alberta, Edmonton, Alberta, Canada
Submitted 15 August 2007; accepted in final form 21 November 2007
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ABSTRACT |
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INTRODUCTION |
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). One of the major features of the activity in this region is the prevalence of collective oscillatory patterns that are expressed differentially during diverse behaviors and across the various stages of sleep. These synchronized patterns are thought to constrain and modulate hippocampal processing and are also considered as important influences for the expression of synaptic plasticity (Axmacher et al. 2006; Buzsáki 2002; Jensen and Lisman 2005). The two most-studied oscillatory patterns in the HPC are the theta rhythm, which is a large-amplitude, 3- to 12-Hz oscillation that appears during exploratory behavior and during rapid-eye-movement (REM) sleep (Bland 1986; Buzsáki 2002; Vanderwolf 1969; Vanderwolf et al. 1977), and sharp wave/ripple complexes, which are transient and irregularly occurring high-frequency (150–250) oscillations that appear during awake immobility, "involuntary" behaviors, and non-REM sleep (Buzsáki 1986; Suzuki and Smith 1987). Due to their different behavioral state dependencies, these two patterns are mutually exclusive and are thought to contribute differentially to sequential stages of memory processing (Buzsáki 1989). Interestingly, both patterns can also be spontaneously and alternately exhibited during urethan anesthesia (Ylinen et al. 1995a), which provides a tractable system to explore their influence on neurophysiological processing.
Recently, we have described a novel form of collective hippocampal activity—the slow oscillation (SO) (Wolansky et al. 2006). The SO consists of a large-amplitude slow (
1 Hz) extracellular rhythm that appears during deep slow-wave sleep as well as under urethan anesthesia. This pattern is similar to the SO that has been described in the neocortex (Steriade et al. 1993) and has been similarly demonstrated to correspond to swings of the membrane potential of hippocampal neurons from depolarized (spiking) levels to hyperpolarized (nonspiking) levels (so-called "up" and "down" states, respectively) (Hahn et al. 2006, 2007; Ji and Wilson 2007; Wolansky et al. 2006) cf. (Isomura et al. 2006). The SO is a state with electrographic and single-unit activity characteristics that separate it from either theta or the large-amplitude irregular activity state (LIA: during which sharp-wave/ripple complexes occur).
Interestingly, the hippocampal SO shows a dynamic and transient correlation with the neocortical SO that would allow for the synchronization (or alternatively desynchronization) of hippocampal and neocortical neuronal ensembles (Wolansky et al. 2006). Thus the SO could be a candidate platform for establishing bidirectional synaptic plasticity either via long-term potentiation or depression in an extended cortico- hippocampo-cortical circuit. Importantly in this regard, recent studies have suggested that non-REM sleep (and in particular the SO) is important for the consolidation of declarative (i.e., hippocampal-dependent) forms of memory (Bodizs et al. 2002; Marshall et al. 2006; Rasch et al. 2007). Given that the SO only appears during non-REM sleep, it may be that its pattern of collective brain-wide engagement is central to a systems-level consolidatory process.
To examine the influence of this novel state on the neurophysiological properties of the HPC, we performed evoked-potential analysis of the connections between areas CA3 and CA1 of the HPC (via the commissural or Schaeffer collateral pathway), between layer II cells of the entorhinal cortex and the dentate gyrus (DG) of the HPC [the medial perforant path (MPP) and lateral perforant path (LPP)], and between layer III cells of the entorhinal cortex and area CA1 of the HPC [the temporal ammonic (TA) pathway]. Our results demonstrate that these pathways can exhibit differential modulation dependent on state (i.e., greater excitability during either theta or SO) but that all show a rhythmical modulation of excitability that is dependent on the ongoing phase of the given rhythm.
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METHODS |
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Surgical, implantation, recording, and stimulating procedures
Animals were initially induced with gaseous isoflurane mixed with medical O2 at a minimum alveolar concentration (MAC) of 4 in an enclosed anesthetic chamber. After loss of righting reflexes, they were maintained on isoflurane (2.0–2.5 MAC) via a nose cone and implanted with a jugular catheter. Isoflurane was discontinued, and general anesthesia was achieved using slow intravenous administration of urethan (0.8 g/ml; final dosage, 1.8 ± 0.03 g/kg) via the jugular vein. Body temperature was maintained at 37°C using a servo-driven system connected to a heating pad and rectal probe (TR-100; Fine Science Tools, Vancouver, BC, Canada) for the remainder of the surgical and recording procedures. Level of anesthesia was assessed throughout the experiment by monitoring reflex withdrawal to a hind paw pinch. If any visible withdrawal occurred, the animal was administered a supplemental dose (0.01 ml) of urethan.
When the rats no longer exhibited a withdrawal reflex, they were moved to a stereotaxic apparatus for electrode placement. Stereotaxic coordinates were calculated from bregma and respective holes were drilled in the skull to allow electrode penetration in the brain. For single-electrode recordings, a single microwire (Teflon-coated stainless steel wire with a bare diameter of 125 µm; A-M Systems, Carlsborg, WA) was implanted at the level of stratum radiatum of area CA1 (AP, –3.3; ML, ±1.8 to ±2.1; DV, –2.5 to –3.2) or the molecular layer of the DG) (AP, –3.3; ML, ±1.8 to ±2.1; DV, –2.7 to 3.5). These placements were optimized for commissural and perforant path (PP) stimulation, respectively (see further in the following text). In some cases, a 16-contact linear multiprobe (100-µm spacing: Neuronexus Technologies, Ann Arbor, MI), was implanted in the vertical plane using the same coordinates as described in the preceding text for single electrodes. The depth was optimized for recording responses to either or both CA3 or PP stimulation.
For recordings from CA1, evoked potentials (EPs) were elicited by stimulating the contralateral CA3 area using an implanted bipolar electrode constructed from two twisted Teflon-insulated stainless steel wires (110 µm bare diameter) at the following coordinates (AP, –3.5; ML, –3.5; DV, –3.0 to –4.0). DG responses were recorded by stimulation of the ipsilateral PP (AP, –7.0; ML, –4.0 to –5.5; DV, –1.5 to –2.5) using an identical electrode. After the recording electrode was lowered into the general area (either CA1 or DG), the stimulating electrode was lowered until a negative-going EP was elicited by stimulating with a 0.2-ms biphasic current pulse at an intensity range of 30–210 µA, using an isolated constant current pulse generator (Model 2100; A-M Systems). Both electrodes were then adjusted to ensure a maximal response.
Single-electrode (monopolar) recordings were referenced to ground (stereotaxic apparatus) and amplified at a gain of 1,000 and filtered between 0.1 and 500 Hz using a differential AC amplifier (Model 1700; A-M Systems). Signals from the probe were also referenced to ground and amplified at a final gain of 1,000 and wide-band filtered between 0.7 Hz and 10 kHz via a 16-channel head stage (unity gain) and amplifier system (Plexon, Dallas, TX). All signals were digitized with a Digidata 1322A A-D board connected to a Pentium PC running the AxoScope acquisition program (Molecular Devices; Union City, CA). Signals were sampled at 
1 kHz and were digitized on-line after being low-pass filtered at 500 Hz (software controlled).
Experimental procedure
After suitable sites were located, an input/output curve was constructed by recording the response evoked at increasing levels of intensity of stimulation. In this way, both threshold and maximal values of current injection could be assessed. Subsequently, EPs were elicited at a stimulus intensity that evoked a population excitatory postsynaptic potential (pEPSP, also referred to as a field EPSP) at 70% of the maximum response. It was ensured that for experiments involving slope measurements of the pEPSP component of the EP that the current intensity used did not produce a population spike. The interstimulus interval was 8 s. In all experiments, an average EP or EP profile was recorded using a minimum of 16 sweeps. In experiments where the effects of stimulation of the PP were assessed using the multiprobe, an average paired-pulse profile (using an interpulse interval of 50 ms) was also recorded. Continuous recordings of spontaneous electroencephalographic (EEG; i.e., hippocampal local field potential) activity were also made over a 10- to 20-min period and ensured that alternations between activated (theta) and deactivated (SO) states were spontaneously occurring in the HPC (Wolansky et al. 2006). After recording of these spontaneous records, EPs were collected every 10 s across both spontaneous theta and slow oscillation states. Sweeps were 8 s in length, which was long enough to allow a positive determination of state based on spectral and autocorrelation analysis of sweeps. In addition, it allowed for a determination of the phase of the spontaneous cycle at the point of stimulation (2–3 s into the sweep).
After recording sessions, a small lesion was made at the tip of all single recording and stimulating electrodes by passing 1 mA of DC current for 5 s using an isolated constant current pulse generator (Model 2100; A-M Systems). To make the multiprobe track visible for histological purposes, the probe was moved slightly in two horizontal planes at its most ventral position.
Histological procedure
Rats were perfused transcardially, initially with physiological saline then with 4% Para formaldehyde in saline. Brains were extracted and stored overnight in 30% sucrose in 4% Para formaldehyde. The tissue was frozen with compressed CO2 and sliced at 60 µm with a rotary microtome (1320 Microtome; Leica, Vienna). Slices were then mounted on gel-coated slides, allowed to dry for a minimum of 24 h, subsequently stained using thionin, and fitted with a coverslip. Microscopic inspection of stained slices was used to verify recording loci. Digital photomicrographs (Canon Powershot S45; Canon, Tokyo, Japan) were taken on a Leica DM LB2 microscope, imported using Canon Remote Capture 2.7 software and processed with Corel PhotoPaint (Corel, Ottawa, Ontario, Canada).
Data analysis
POPULATION EPSP SLOPE AND STATE MEASUREMENTS.
The slope of the population pEPSP response was assessed by fitting a line to the initial negative component of the EP (Clampfit version 9.0 Molecular Devices). Slopes were computed for individual trace and were then averaged and compared as a function of EEG state and the phase of the ongoing spontaneous oscillation cycle. Slope measurements of the pEPSP component were chosen over measures of amplitude because the former correlate directly with the strength of synaptic transmission and are less subject to spurious field artifacts (Johnston and Wu 1995, p. 432–435). EEG state was classified as theta or SO based on the power spectrum and autocorrelation computed for each trace (Wolansky et al. 2006). Threshold power values for each of the SO (0.5–1.5 Hz) and theta (3–4 Hz) bandwidths were computed from the temporal variation of power values within these bandwidths derived from spontaneous EEG collected prior to stimulation trials. Traces that had suprathreshold power values for the SO and subthreshold power values for theta bandwidths were designated as SO, whereas conversely traces with suprathreshold power values for theta and sub threshold power values for SO bandwidths were designated as theta. Confirmation of a rhythmic state was achieved by subsequent assessment of rhythmicity in the autocorrelation function (Wolansky et al. 2006). Traces without rhythmicity were classified as LIA.
OSCILLATORY PHASE DETERMINATION.
For confirmed rhythmic states (either theta or the SO), the phase value at which the EP was triggered was calculated by fitting a sine wave to the bandwidth filtered EEG (3–4 Hz for theta and 0.5–1.5 Hz for SO). Phase was computed relative to the upward zero crossings of the oscillatory signal directly before and after the EP as a function of the period of the full sine wave connecting these two zero crossings. These values were then translated to a degree scale (from 0 to 360) where 0 signified the initial upward zero crossing, 90 the positive peak, 180 the downward zero crossing, 270 the negative peak, and 360 the final upward zero crossing of the sine function. Slope values of the pEPSP were measured as above for individual EPs. To eliminate any contamination of the ongoing rhythm to these slope measurements, we also computed slope values of the field activity just prior (50 ms) to the stimulation and subtracted these values from the pEPSP slope measurements (Wyble et al. 2000). Averaged slope values across phase windows were normalized to both their minimum and maximal values within each experiment to compute summary statistics.
CURRENT SOURCE DENSITY.
Current source density (CSD) analysis was conducted on spontaneous and averaged field potential profiles recorded using the linear multiprobe following the assumptions of Freeman (1975), Ketchum and Haberly (1993), and Rodriguez and Haberly (1989). An advantage of this form of analysis is that it is completely immune to volume-conducted potentials because it provides an estimate of transmembrane current flow (Johnston and Wu 1995, p. 435–438). Briefly, CSD was computed by estimating the second spatial derivative of unfiltered voltage traces derived from the multiprobe. This estimate was calculated using a three-point difference (differentiation grid size of 300 µm) on the voltage values across spatially adjacent traces
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DATA SUMMARY AND STATISTICS.
Arithmetic averages were computed within and between experiments and were reported together with the SE. Comparisons of interest were conducted using one-tailed paired t-test using an alpha (probability) value of 0.05. Descriptive circular statistics using the method of Batschelet (as described by Zar 1999, p. 608–610) were used to compute the oscillatory phase angle at which pEPSPs were preferentially maximal on binned slope data (bin width: 18°). Normalized slope values were used as vector lengths for each of the center points of the phase angle windows. These analyses were conducted on both individual experiments and the average across all experiments. The distribution of the preferred phases across all individual experiments was tested for homogeneity using the method of Hotelling (as described by Zar 1999, p. 638–639).
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RESULTS |
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We confirmed the location of all single-electrode and multiprobe locations. All CA1 recording positions were in the mid-apical dendritic layer of CA1 pyramidal cells (centered at s. radiatum or at the border with s. lacunosum moleculare). All DG recording positions were at the level of the hippocampal fissure or lower (in the molecular layer of the DG). Stimulation sites in the contralateral CA region were in or near CA3. These sites could be close to the lower blade of the CA3 pyramidal layer, in the mid-apical dendritic zone of s. radiatum of CA3 at the level of its vertical curvature, or in s. radiatum close to the CA1/CA3 border. Stimulation sites aimed at the PP were found to be in or just superior to the dorsal element of the angular bundle. Multiprobe tracts were all in a plane that traversed the CA1 pyramidal cell layer, through the hippocampal fissure and the DG. The termination of probe tracts was typically in s. granulosum or in the hilar region of the DG just ventral to the granule cell layer. The position of individual contact sites was estimated from the position of the histological tract in combination with comparisons to the distribution of spontaneous (theta and SO) and evoked potential profile measures (Wolansky et al. 2006). Summary placements and tracks for all experiments are shown in Fig. 1.
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As previously described (Wolansky et al. 2006), the activity of the HPC spontaneously alternated between activated (theta), transition (large-amplitude irregular activity: LIA), and deactivated (SO) patterns. All EPs were elicited during and across these spontaneous patterns. By performing spectrographic and autocorrelation analysis of ongoing EEG (Wolansky et al. 2006) for each stimulation trial, we were able to differentiate between all three states. Typical examples of hippocampal theta and SO states are shown in Fig. 2. As demonstrated, theta was characterized by highly rhythmic oscillations in the frequency bandwidth of 3–5 Hz, whereas the SO was characterized by even-larger-amplitude rhythmic oscillations in the 0.5- to 1.0-Hz frequency bandwidth. In comparison, LIA showed a lack of rhythmicity with high power levels across a wider range of the spectrum without clear frequency peaks.
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CA3-CA1 EPS.
EPs elicited by stimulation of contralateral CA3 and recorded at the level of s. radiatum in CA1 were similar to pEPSPs as previously described (Wyble et al. 2000). They exhibited a maximum negative peak at a latency of 13.07 ± 1.61 ms poststimulation. A typical evoked potential is shown in Fig. 3. Spontaneous alternations among theta, LIA, and SO states resulted in significant variations of synaptic excitability as measured by changes in the slope of the pEPSP. Slope values were consistently (5 of 5) and significantly (t = 5.66, P = 0.0024) larger during periods of SO as compared with periods of theta. Slope values measured during LIA were intermediate but significantly different to those measured during theta (t = 4.63, P = 0.0049) and the SO (t = 5.19, P = 0.0033; Fig. 4).
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; Canning et al. 2000; Leung et al. 1995). Assessment of the variation of synaptic excitability across states through measurement of pEPSP slopes produced mixed results. Comparing theta to SO, three of five experiments had significantly larger slope values in SO, whereas the other two had significantly larger slope values during theta. In all cases, slope values during LIA were intermediate to those found during theta and SO. In the three experiments in which slopes were largest during the SO, those evoked during LIA were significantly different from both SO and theta in one, and significantly different from SO (but not theta) in the remaining two (Fig. 6). In the two experiments in which slopes were largest in theta, those evoked during LIA were significantly different from theta (but not SO) in one and from SO (but not theta) in the other.
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; Canning and Leung 1997; Canning et al. 2000; Leung et al. 1995; McNaughton 1980), the EPs evoked by each of these pathways could be separated. As well, at paired-pulse intervals of 50 ms, the MPP demonstrates depression while the LPP and the TA pathway demonstrate facilitation (Leung et al. 1995; McNaughton 1980). In this way, we were able to determine the identity of the primary pathway (if any) that was activated.
Using these criteria we were able to separate MPP, LPP, and TA components of the EPs even in single experiments as shown in Figs. 7 and 8 In accordance with previous findings (Abraham and McNaughton 1984; Canning and Leung 1997; Canning et al. 2000; Leung et al. 1995; McNaughton 1980), MPP pEPSPs had shorter peak latencies (4.12 ± 0.20 ms) than LPP pEPSPs (5.48 ± 0.14 ms) while pEPSPs generated by TA stimulation showed the longest peak latencies (6.50 ± 0.21 ms). As well, at 50-ms intervals, paired-pulse potentials evoked by MPP stimulation showed depression (on average: 12.5 ± 3.1%) while both LPP and TA EPs were facilitated (on average: 11.4 ± 1.4 and 17.2 ± 2.1%, respectively).
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In contrast, the slopes of LPP pEPSPs were consistently larger during SO as compared with theta in all (n = 5) experiments and were significantly greater overall [t(4) = 3.15, P = 0.017; Fig. 7]. On average, slope values during LIA were not significantly different to those during theta overall, although in most experiments (4 of 5), they were intermediate between theta and SO values (Fig. 7). However, values during LIA were significantly lower overall as compared with those measured during SO [t(4) = 2.28, P = 0.0042].
Similarly to results for the LPP, the slope of TA pEPSPs were consistently larger during SO as compared with theta in all (n = 6) experiments (Fig. 7) and were significantly greater overall [t(5) = 3.03, P = 0.014]. On average, slope values during LIA were intermediate between theta and SO (Fig. 7), and although they were significantly different from those during SO [t(5) = 3.08, P = 0.0014], they were not significantly different from those during theta.
Further support of this differentiation was obtained in experiments where we conducted multiprobe recordings through CA1 and the DG (Fig. 8). These experiments allowed us to explore the voltage and CSD profiles of PP stimulation-evoked EPs. In some cases (and as shown in Fig. 8), we were able to distinguish all pathways simultaneously. As previously described (Canning et al. 2000), different sinks could be separated based on their spatiotemporal profile corresponding to MPP, LPP, and TA (see preceding text and Fig. 8). Confirmation of different pathways was provided by conducting paired-pulse stimulation and with a combination of histological and profile analysis of spontaneous rhythms (Wolansky et al. 2006). The average magnitude of sinks at these different levels across states were consistent with the slope results for each pathway. For the MPP, sinks were consistently (5 of 5 experiments) and significantly [t(4) = 2.54, P = 0.032] lower in amplitude during the SO as compared with theta. For the LPP and TA, sinks were consistently (4 of 5 and 4 of 4 experiments, respectively) and significantly larger in amplitude during the SO as compared with theta [LPP: t(4) = 2.28, P = 0.043; TA: t(3) = 3.95, P = 0.014; Fig. 8].
Influence of oscillatory phase on evoked EPs
In many of our experiments, we noted that there was substantial variation of slope values within each of the oscillatory field states of theta and SO. Previous studies have shown that synaptic excitability as measured by the slope of the pEPSP is related to the phase of the ongoing theta rhythm and is an important factor in the development of LTP (Greenstein et al. 1988; Hyman et al. 2003; Pavlides et al. 1988; Wyble et al. 2000). We were interested in determining whether the phase of the ongoing SO rhythm in the HPC could also modulate excitability in a similar way. Therefore we tested the influence of phase of both rhythms on the slope of evoked pEPSPs at all sites. A typical experimental protocol is shown in Fig. 9 using CA1 responses to CA3 stimulation during theta as an example.
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; Hyman et al. 2003; Rudell and Fox 1984; Rudell et al. 1980; Wyble et al. 2000) and as shown in Fig. 9, we found that the phase of the theta cycle had an obvious influence on the size and slope of pEPSPs. By separating evoked potentials based on whether they occurred on the rising or falling phases of the theta rhythm, we were able to demonstrate a significant difference in the average slope values. As shown for the example in Fig. 9, the size and slope of the pEPSP was larger during the falling phase and the average difference across multiple trials in the same experiment was significant [t(50) = 2.62, P = 0.009]. A similar analysis was conducted for both theta and the SO across all experiments. The average results for CA1 and DG EPs are shown in the left-most panels in Fig. 10 (Ai and Bi, respectively). In all cases, there was a significant and similar effect on pEPSP slopes when comparing the rising versus the falling phases of ongoing oscillatory activity. We found no differences in the DG responsiveness to stimulation of the different branches of the PP and thus these data were pooled. Slope values were always significantly larger during the falling as opposed to the rising phase [CA3–CA1 theta: t(3) = 4.84, P < 0.001; CA3–CA1 SO: t(4) = 3.17, P = 0.011; PP-DG theta: t(5) = 5.65, P < 0.001; PP-DG SO: t(5) = 5.65, P < 0.001].
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) and the SO (small 
) for every experiment (except 1 SO example in the DG) was located in a cluster on the left half of the unit circle between 90 and 270° (i.e., on the falling phase of the ongoing field cycle). The distribution of these values was subjected to a second-order analysis (see METHODS section) and the average preferred angle across all experiments calculated (TH: large ; SO: large ). In every case, these averages were distributed close to 180° (CA1: TH 167°, SO 160°; DG: TH 166°, SO 191°). With the exception of the SO in the DG, these distributions were all significantly different from homogeneity [CA1: TH f (2,2) = 44.26, P < 0.05; SO f (2,3) = 13.48, P < 0.05; DG: TH f (2,4) = 19.18, P < 0.05; SO f (2,4) = 2.92, P > 0.05].
An average distribution of normalized slope values across phase bins was also calculated across all experiments and is shown in the right-most panels of Fig. 10 (CA1: Aiii; DG: Biii). For illustrative purposes, a sine wave delineating the field cycle is superimposed on the data for theta (
) and SO (
). There is a clear cyclical modulation of slope values as a function of the ongoing phase of the field cycle for both TH and SO in both regions. These distributions were further subjected to a circular statistical analysis. The average preferred angle is denoted for both theta (
) and SO (
) for each of the distributions. Again, these values were located on the falling phase of the ongoing field cycle and were similar to those reported in the preceding text (CA1: TH 167°, SO 153°; DG: TH 165°, SO 181°).
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DISCUSSION |
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; Fox 1989; Leung 1980; Segal 1978; Winson and Abzug 1978; Wyble et al. 2000), we have confirmed that spontaneous fluctuations in hippocampal electrographic state produced a significant modulation of synaptic excitability in a variety of hippocampal pathways. Importantly, three novel findings have emerged. 1) The direction of changes in synaptic excitability across states was specific for the particular pathway studied. Our data complement and extend those of previous researchers, who documented opposite changes with state when comparing PP stimulation with CA3 stimulation (Herreras et al. 1988; Winson and Abzug 1978) by further showing that stimulation of the two branches of the PP (medial and lateral) yielded independent and contrasting state-dependent effects. This demonstrates that electrographic state in the hippocampal network provides an even more complex modulation of inputs arriving to and being processed by the HPC than originally thought. 2) The recently described SO state (Wolansky et al. 2006) promoted changes in hippocampal excitability that distinguish it from both the theta and LIA states. Thus this provides further evidence that the SO is a separate and specific state of hippocampal activity. 3) Significant variations of excitability within the rhythmic state of SO (similar to our and others results for theta) were predicted by the ongoing phase of the field cycle. Altogether, these findings have important implications for the processing and storage of information by the HPC and may provide clues to the communication and potential consolidation strategies employed in the cortico-hippocampo-cortical circuit that are crucial for declarative memory processes. Significance of state-dependent fluctuations in hippocampal excitability
Hippocampal processing is well known to be important for mnemonic processes (Eichenbaum 2004; Squire 1992). Its memory-related functions are thought to be engaged not only during wakefulness, when learning occurs and behavioral performance is engaged, but also during the patterns of activity that occur during "resting" periods (e.g., sleep) subsequent to the learning process (Born et al. 2006; Walker and Stickgold 2004). It is these patterns (such as those differentially expressed during REM and non-REM stages of sleep) that are thought to contribute to the long-term consolidation of declarative memories (Buzsáki 1989; Marshall et al. 2006; Rasch et al. 2007).
Recently we have shown that the expression of state-dependent alternations of activity that are present during sleep can also occur spontaneously under urethan anesthesia and that the similarities between the two suggest that urethane is a good model system for sleep itself (Clement et al. 2006; Dickson et al. 2007a,b). Indeed, and more specifically for collective activity in the hippocampus, previous researchers have exploited urethan as a model for a number of different patterns of hippocampal activity that are expressed during sleep including theta, gamma, and sharp-waves (Penttonen et al. 1998; Ylinen et al. 1995a,b). Indeed the theta state has a similar and overlapping bandwidth (3–6 Hz in urethan vs. 4–7 Hz in REM sleep) (Leung 1985; Vanderwolf et al. 1977), and the SO has an identical bandwidth (centered at 1 Hz) across urethan anesthesia and slow-wave sleep (Wolansky et al. 2006). As well, both states across urethan and sleep are affected in the same fashion by cholinergic agents: theta is promoted by muscarinic agonism, whereas the SO is promoted by muscarinic antagonism (Robinson et al. 1977; Wolansky et al. 2006).
Our present findings suggest that the spontaneously expressed and state-dependent patterns of activity observed in the HPC differentially regulate excitability in hippocampal input and output pathways. For example, CA1 excitability was observed to be maximal during the SO in response to stimulation of either CA3 or TA. Given that the SO is a prominent component of deep stages of slow-wave sleep, this implies that the output of CA1 is preferentially biased during these stages. Furthermore, given the dynamic correlation of the SO across the HPC and nCTX (Wolansky et al. 2006), this would mean that the timing of hippocampal output could be systematically synchronized and/or desynchronized with that in the nCTX. The coupling and decoupling of hippocampal and cortical ensembles achieved in this manner would be highly relevant for the associative and activity-dependent processes of long-term potentiation (LTP) and long-term depression (LTD) and could thus constitute a platform for the process of declarative memory consolidation.
Interestingly, and in contrast to the results for CA1, input to the DG was differentially modulated by state depending on which branch of the PP was stimulated. MPP stimulation produced a maximal response during theta, whereas LPP stimulation produced a maximal response during the SO. Responses during LIA, although variable, were intermediate to those between theta and the SO. This variability might be attributable to the difficulty in separating the stimulation and recording sites for each of the branches of the PP because most experiments had overlapping activation of both branches. However, the significant difference between the theta and SO states suggests that input from the medial EC via the MPP is preferentially processed by the DG during REM sleep, whereas input from the LPP via the lateral EC is preferentially processed by the DG during slow-wave sleep. The relevance of this difference is less clear although previous work has demonstrated differences in the hodological (Witter et al. 2000), physiological (Abraham and McNaughton 1984; Alonso and Klink 1993; Dahl et al. 1990; McNaughton 1980; Tahvildari and Alonso 2005), pharmacological (Bramham et al. 1988; Dahl and Sarvey 1989), and behavioral (Ferbinteanu et al. 1999; Hargreaves et al. 2005) significance of these two pathways in addition to the medial and lateral regions of the EC that give rise to them. State-dependent segregation via preferential processing of these two inputs at the level of the DG may very well have implications for the functional separation of episodic versus semantic declarative memory processes (Eichenbaum 2004, 2006).
Although mentioned in the preceding text, another finding related to the differential excitability of hippocampal input pathways relates to the TA. Like the LPP, the TA showed preferential excitability during the SO, suggesting that the direct entorhinal-CA1 pathway from EC is preferentially excitable during slow-wave sleep. One ramification of this would be enhanced reverberatory communication between the HPC and the EC within the entorhino-hippocampal loop (ECIII –CA1 –ECV –ECIII). The functionality of this reverberatory loop has been demonstrated physiologically (Kloosterman et al. 2004), and the importance of the TA in hippocampal-dependent mnemonic function has been demonstrated (Brun et al. 2002; Remondes and Schuman 2004). Oscillatory and synchronized reverberations within this circuit might mediate the solidification of medial temporal lobe representations during slow wave sleep.
Although our study of hippocampal pathways was extensive, further study of state-dependent influences in the remaining elements of the trisynaptic pathway is required. In particular, the mossy fiber pathway (DG-CA3) and the hippocampo-cortical pathway (CA1 to subiculum and EC) may show important differences in regards to state-dependent modulation. Indeed previous work suggests that the deep layers of the EC may be preferentially responsive to slow patterned activity as opposed to theta (Yun et al. 2002).
State-dependent changes in excitability of hippocampal circuitry are not only important for an understanding of physiological functioning but may also be relevant for pathology—especially that concerning epilepsies deriving from the medial temporal lobe. It is well known that certain forms of epilepsy can be expressed more prevalently during sleep, especially during non-REM stages (Foldvary-Schaefer and Grigg-Damberger 2006). Our findings might also be relevant for the sleep-related preponderance of epileptiform events deriving from medial temporal lobe structures (Herman et al. 2001). The SO may effectively reduce the threshold for hypersynchronous discharges in the HPC and may also result in an increased ability to generalize through cortical output pathways via the entorhinal cortex and medial temporal lobe (Herman et al. 2001). Further research is necessary to examine this possibility.
Cycle by cycle modulation of hippocampal excitability
Not only was state an important modulator of synaptic responsiveness but within each rhythmic state, whether theta or the SO, so too was the phase of the oscillatory field cycle. Such modulation provides the HPC with an even more fine-grained temporal mechanism to influence processing. In both CA1 and DG regions, the slope of the EP was larger during the falling phase of the cycle than the rising phase and excitability was systematically modulated across phases. Although previous researchers have documented similar results for the theta rhythm (Buzsáki et al. 1981; Rudell and Fox 1984; Rudell et al. 1980; Wyble et al. 2000), this is the first demonstration of such a cyclical modulation for the SO in the HPC.
For both cycles, the falling phase of the extracellular field potential rhythm corresponds to a transition point where the net flow of current is moving out of the extracellular medium and entering the intracellular space. At the intracellular level, this corresponds very simply to a transition from a more hyperpolarized level to one that is more depolarized. Thus the timing of enhanced synaptic efficacy is set to the period at which the membranes of postsynaptic neurons are moving toward the just-subthreshold range. Synaptic input arriving at these moments are likely to bring the postsynaptic membrane to threshold and discharge the cell earlier in the cycle than would occur spontaneously. A similar mechanism that additively couples linearly increasing excitation with subthreshold oscillatory activity is proposed to underlie the phase precession shown by hippocampal place cells relative to the ongoing theta rhythm as the animal passes through its spatial receptive field (Harris et al. 2002; Mehta et al. 2002; O'Keefe and Recce 1993). Our results show that there may also be a further cyclic modulation of synaptic excitability with respect to the field oscillation that is also phase-locked to the ongoing oscillation. One effect that this might have would be to extend the effective phase range of precession that is possible within an oscillatory cycle. Although it is unclear how phase precession occurring through phase-coupled enhancements in synaptic transmission might be important for processing during either hippocampal theta or SO within sleep, certainly the relative timing of discharge with respect to other neurons would have functional implications for ensemble binding and for plasticity (Holscher et al. 1997; Hyman et al. 2003; Pavlides et al. 1988).
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ACKNOWLEDGMENTS |
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FOOTNOTES |
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Address for reprint requests and other correspondence: C. T. Dickson, Depts. of Psychology and Physiology, and Centre for Neuroscience, University of Alberta, P217 Biological Sciences Bld., Edmonton, Alberta, T6G 2E9, Canada (E-mail: cdickson{at}ualberta.ca)
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INTRODUCTION
), and SO (
