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During auditory fear conditioning, it is well established that lateral amygdala (LA) neurons potentiate their response to the tone conditioned stimulus, and that this potentiation is required for conditioned fear behavior. Conditioned tone responses in LA, however, last only a few hundred milliseconds and cannot be responsible for sustained fear responses to a tone lasting tens of seconds. Recent evidence from inactivation and stimulation studies suggests that the prelimbic (PL) prefrontal cortex is necessary for expression of learned fears, but the timing of PL tone responses and correlations with fear behavior have not been studied. Using multi-channel unit recording techniques in behaving rats, we observed sustained conditioned tone responses in PL that were correlated with freezing behavior on a second-to-second basis during the presentation of a 30-sec tone. These tone responses were also correlated with conditioned freezing across different experimental phases (habituation, conditioning, extinction). Moreover, the persistence of PL responses after extinction training was associated with failure to express extinction memory. Together with prior inactivation findings, the present results suggest that PL transforms transient amygdala inputs to a sustained output that drives conditioned fear responses and gates the expression of extinction. Given the relatively long latency of conditioned responses we observed in PL (~100 ms after tone onset), we propose that PL integrates inputs from the amygdala, hippocampus, and other cortical sources to regulate the expression of fear memories.
Learning to predict danger in the environment is vital for survival. The brain is equipped with neural circuits that detect the coincidence of cues (e.g., tone conditioned stimulus, CS) with dangerous outcomes (e.g., electrical shock). Three decades of research have established that potentiation of CS inputs within the amygdala is critical for learning these stimulus-danger associations, and that amygdala activity is required for subsequent expression of fear memory (LeDoux, 2000; Davis and Whalen, 2001; Maren and Quirk, 2004; Paré et al., 2004). Strong support for the amygdala hypothesis is derived from unit recording studies showing that neurons in the lateral nucleus of the amygdala (LA) elicit potentiated tone responses that correlate with the acquisition and extinction of conditioned fear (Quirk et al., 1995; Paré and Collins, 2000; Repa et al., 2001).
While conditioned responses in LA may be responsible for triggering fear to the CS, there is a mismatch between the duration and timing of CS-elicited activity in LA, and CS-elicited fear responses. A commonly used measure of conditioned fear in rodents is freezing, which is a sustained response that can outlast the CS presentation. Conditioned tone responses in LA are very short, only lasting a few hundred milliseconds (Quirk et al., 1995; Paré and Collins, 2000; Goosens and Maren, 2004), and therefore cannot be responsible for maintaining freezing response. This suggests that there are additional structures downstream from LA that show sustained conditioned responses, and are responsible for sustaining freezing. To date, however, no such structures have been described, leaving in doubt the physiological mechanisms by which CSs generate freezing responses.
One candidate structure for generating sustained conditioned fear is the prelimbic (PL) subregion of the medial prefrontal cortex (mPFC). PL receives sensory inputs from the lateral and basal subregions of the amygdala (McDonald, 1991; Laviolette et al., 2005; Herry et al., 2008), as well as from the hippocampus and other cortical sources involved in fear conditioning (Maren et al., 1997; Thierry et al., 2000). Furthermore, PL projects back to and drives neurons in the basal amygdala (McDonald et al., 1996; Vertes, 2004; Likhtik et al., 2005), which is necessary for fear expression (Anglada-Figueroa and Quirk, 2005). Pharmacological inactivation of PL abolishes expression of conditioned fear (Blum et al., 2006; Corcoran and Quirk, 2007), and microstimulation of PL augments conditioned fear (Vidal-Gonzalez et al., 2006). Thus, PL activity seems to be critical for fear expression, but the hypothesis that the time course of PL activity parallels the time course of conditioned fear remains untested.
Another important question is whether PL activity influences extinction of fear. Substantial evidence indicates that activity in the adjacent infralimbic (IL) mPFC facilitates recall of extinction (reviewed in Quirk and Mueller, 2008). Failure to recall extinction results from deficient IL activity (Herry and Garcia, 2002; Milad and Quirk, 2002; Barrett et al., 2003; Burgos-Robles et al., 2007), but it may also result from excessive activity in PL. To address these questions, here we compared the activity profile of PL neurons with freezing behavior on a second-to-second time scale, during auditory fear conditioning and extinction.
Male Sprague-Dawley rats were individually housed and handled as described previously (Quirk et al., 2000). Food was restricted to 18 g/day of standard laboratory rat chow until rats reached 85% of their free-feeding weight. Rats were then trained to press a bar for food on a variable interval schedule of reinforcement of 60 seconds (VI-60), in order to maintain constant levels of activity against which freezing can be reliably measured (Quirk et al., 2000). Food was available throughout all phases of the experiment. All procedures were approved by local Institutional Animal Care and Use Committee in compliance with the NIH Guidelines for the care and use of laboratory animals (Publication number DHHS NIH 86-23).
Using surgical procedures explained elsewhere (e.g., Quirk et al., 2000), rats were implanted in the prelimbic (PL) subregion of the medial prefrontal cortex with movable arrays of microwires (16 wires of 22 μm in diameter; Stablohm 650; California Fine Wire). Before electrodes were implanted, the tip of each wire was plated with gold by passing a cathodal current of 1 μA while cables were submerged in a gold solution. This procedure was performed to reduce impedance to a range of 250–350 kΩ. Electrodes were implanted in stereotaxic coordinates 2.9 mm anterior, 0.5–0.8 mm lateral, and 4.0 mm ventral from bregma. Rats were allowed 5–7 days to recover from surgery. Rats were then acclimated to recording procedures while electrodes were driven in steps of 44 μm to isolate extracellular waveforms.
Rats were fear conditioned and extinguished in standard operant chambers (Coulbourn Instruments, Whitehall, PA) located inside sound-attenuating boxes (Med Associates, Burlington, VT) in an isolated testing room. Details of the apparatus have been described in our previous studies (e.g., Quirk et al., 2000). Rats received 5 habituation trials (sine wave tones at 4 kHz, 75 dB, 30 sec) immediately followed by fear conditioning consisting of 5 tone presentations that co-terminated with mild footshocks (0.4 mA, 0.5 sec). At the end of the conditioning phase, rats were transported to their homecages, and two hours later they were brought back to the same operant chamber to receive extinction training, consisting of 20 tone-alone trials. Twenty-four hours later, rats were returned to the chambers to test for recall of extinction with additional tone-alone trials. The interval between successive tones was variable with an average of 2.5 minutes.
The behavior of rats was monitored with digital video cameras (Micro Video Products, Bobcaygeon, Ontario, Canada), and analyzed from video tapes. Freezing, defined as the absence of all movements except those related to breathing (Blanchard and Blanchard, 1972), served as the measurement of fear. An experimenter blinded with respect to experimental phase quantified the total time that rats spent freezing during the 30-sec tone presentations, using a digital stopwatch. For a finer temporal resolution, freezing was also scored in a second-to-second time scale. Freezing data were plotted in single trials, and comparisons across experimental phases were made using repeated measures analyses of variance (ANOVA) with post hoc Tukey HSD tests (Statistica, StatSoft, Tulsa, OK).
Extracellular waveforms exceeding a voltage threshold were digitized at 40 kHz and stored on a PC. Waveforms were recorded during pretone, tone, and posttone periods, each lasting 30-sec. Shock artifacts during the conditioning phase were prevented from entering the recording files by turning off recording during shock delivery. Waveforms were then sorted offline using three-dimensional plots of principal component and voltage vectors (Offline Sorter, Plexon, Dallas, TX). Clusters formed by individual neurons were tracked across conditioning, extinction and recall phases by applying cluster boundaries and manually checking for goodness of fit. Timestamps of neural spiking and flags for the occurrence of tones and shocks were imported to NeuroExplorer for analysis (NEX Technologies, Littleton, MA).
A total of 81 PL neurons from 17 rats were maintained throughout habituation, conditioning and extinction phases on day 1. Of these 81, 51 neurons from 15 rats were maintained on the recall phase on day 2. PL activity was examined across seconds to evaluate tone-induced changes in activity, and across experimental phases to evaluate training-induced changes in activity. Two trials per phase were averaged and examined for the detection of tone responses: trials 4–5 in habituation, trials 4–5 in conditioning, trials 1–2 in extinction training (“early extinction”), trials 19–20 in extinction (“late extinction”), and trials 1–2 at extinction recall.
To detect tone-elicited changes in PL activity, we divided the 30-sec tone into ten bins, each 3-sec in duration. A z-score for each of these bins was calculated, relative to ten pretone bins of equal duration. PL neurons were classified as showing excitatory tone responses if any two tone bins exceeded 2.58 z’s (p < 0.01, two-tails). The same criterion was used to detect inhibitory tone responses (z’s < −2.58). Chi-square (χ2) test was used to detect differences in the proportion of tone-responsive neurons across phases. Furthermore, group peri-event time histograms were generated by averaging z-scores of all tone-responsive neurons, and comparisons across experimental phases were made using repeated measures ANOVA. Pearson’s correlational test was used to compare PL activity and freezing responses across seconds, in which each point in the correlation was composed by the average PL activity and the average freezing for a given 3-sec bin (22 bins in total: 2 pretone bins, 10 tone bins, and 10 posttone bins).
Burst firing was also examined by measuring the percent of spikes within bursts. As in our previous study (Burgos-Robles et al., 2007), a burst was defined as three or more consecutive spikes with an interspike interval of less than 25 ms between the first two spikes and less than 50 ms for subsequent spikes. This criterion is consistent with previously reported firing properties of prefrontal neurons (Shi and Zhang, 2003; Laviolette et al., 2005). ANOVA was used to detect significant training-induced changes in bursting.
Spike synchrony was also assessed, by computing cross-correlations between simultaneously recorded neurons. Cross-correlations were examined for 255 cell pairs, from which 108 were excluded due to low firing rates by reference cells. Correlograms were generated in 10-ms bins, they were smoothed using Gaussian filter with filter-width of 3 bins, and 5 trials were considered in each training phase. Furthermore, shift-predictor correlograms were generated by averaging over all possible trial shuffles, and they were subtracted from the raw correlograms. Significant peaks were detected within 100 ms of the reference spikes using paired T-tests (significance level, p < 0.001) that compared 20 bins around reference spikes (from −100 to 100 ms in the correlograms) with 20 baseline bins (from −500 to −300 ms). Training-induced changes in spike synchrony were detected by comparing across phases the average firing rate around reference spikes using paired T-test.
At the conclusion of experiments, a marking lesion was produced at the tip of the recording wires by passing an anodal current of 25 μA for 18 sec. Rats were perfused with 10% buffered formalin, brains were removed, and microlesions were marked with a green reaction (6% ferrocyanide) while fixing the tissue in a 30% sucrose – 10% buffered formalin solution. Location of marking lesions was reconstructed onto atlas coronal templates adapted from Swanson (1992) from 40 μm Nissl-stained brain sections.
Multi-channel unit recordings were performed rats undergoing auditory fear conditioning and extinction (see Fig. 1). Freezing behavior served as a measure of fear. As shown in Fig. 1D, rats acquired significant levels of freezing to the tone as conditioning proceeded (repeated measures ANOVA: F(4,64) = 59.2, p < 0.001), and diminished freezing with extinction training (F(19,304) = 23.5, p < 0.001). Rats showed substantial recall of extinction 24 hr later (freezing levels at the beginning of extinction vs. at the beginning of recall, F(1,16) = 23.9, p < 0.001).
Tone responses were examined for 81 PL neurons recorded from 17 rats that were maintained throughout habituation, conditioning and extinction training. Fear conditioning dramatically increased the spiking rate of a number of PL neurons, throughout the presentation of tones. These sustained excitatory responses can be observed in Fig. 2A, which shows spike trains of two representative neurons prior to fear conditioning (during habituation trials) and after fear conditioning (during early extinction trials). Peri-event time histograms for these neurons revealed that tone-elicited responses were typical of high-fear states (conditioning and early extinction), but not of low-fear states (habituation and late extinction).
The percentage of neurons showing excitatory tone responses (z > 2.58 in two or more tone bins) was calculated at different time points of the experiment. As illustrated in Fig. 2B, fear conditioning increased the percentage of neurons showing excitatory responses from 11% to 26% (black-filled area in pie charts; χ2 = 4.98, p = 0.026). This conditioning effect was reversed by extinction training, which reduced the percentage of responsive neurons from 23% to 10% (χ2 = 4.95, p = 0.026). Only a small proportion of neurons showed inhibitory tone responses (gray-filled area in pie charts), which did not change significantly with conditioning or extinction (p’s > 0.27).
Combined with prior inactivation studies, the sustained nature of PL conditioned responses suggests that they contribute to the generation of sustained freezing responses. To examine this hypothesis, we compared the activity of PL neurons showing significant excitatory tone responses with freezing on a second-to-second timescale. We observed that conditioned responses in PL were correlated with the time course of freezing. The top panel on Fig. 3A shows the time course of freezing prior to conditioning (habituation), after conditioning (early extinction), and after extinction (late extinction). Second-to-second freezing significantly differed among the training phases, according to repeated measures ANOVA (main effect of training phase, F(2,48) = 35.2, p < 0.001; seconds, F(21,1008) = 8.48, p < 0.001; phase vs. seconds interaction, F(42,1008) = 8.23, p < 0.001). PL activity tended to parallel freezing responses in all phases. The lower panel in Fig. 3A illustrates the average activity of those PL neurons showing excitatory tone responses during early extinction (19/81 neurons, 23%). Similar to freezing during early extinction, the activity of these neurons significantly increased at tone onset, remained high throughout the tone presentation, outlasted the tone, and gradually came back to pretone levels. Furthermore, as with freezing, the response of these neurons returned to habituation levels by the end of extinction training. An ANOVA comparing tone responses across phases showed significantly higher tone-elicited PL activity during early extinction (training phase, F(2,54) = 13.9, p < 0.001; seconds, F(21,1134) = 2.67, p < 0.001; interaction, F(42,1134) = 3.38, p < 0.001). A bin-by-bin comparison of PL activity (Fig. 3A, lower panel) and freezing (Fig. 3A, top panel) showed that the two measures were significantly correlated during early extinction (r = 0.83, df = 20, p < 0.001). No significant correlations were observed during habituation (r = 0.41, p = 0.06) and late extinction (r = 0.07, p = 0.76).
A significant correlation between PL activity and freezing during early extinction supports the hypothesis that PL activity contributes to the generation of freezing. An alternative hypothesis is that freezing triggers PL activity. To distinguish between these two alternatives, we examined the response latency of freezing and PL activity during early extinction, in 1-sec bins. As shown in Fig. 3B, the onset of PL tone responses (blue line plot) preceded the onset of freezing responses (gray bar graph). Significant tone-induced increased activity in PL was evident from the very first second after tone onset, whereas significant freezing did not occur until two seconds after tone onset. To assess the earliest tone response latency in PL, we examined activity in 100-ms bins. PL tone responses were not evident until after 100 ms after tone onset (see Fig. 3C). These findings argue against the hypothesis that PL tone responses are induced by freezing.
To further test our hypothesis that PL activity parallels freezing, we took advantage of within-subject variability to performed activity-behavior correlations for single PL neurons. For each neuron-rat pair, activity and freezing were averaged across 5 trials during early extinction. This analysis showed that changes in PL activity across the tone paralleled changes in freezing. As shown in Fig. 4, more neurons showed positive correlations with freezing than negative correlations (66% vs. 34%; binomial probability test, p = 0.007). Furthermore, 24% of the activity-freezing pairs showed significant positive correlations (r’s > 0.55, p’s < 0.01), whereas only 4% showed significant negative correlations (r’s < −0.55) (proportion of significant positive vs. negative correlations, χ2 = 7.85, p = 0.005). Altogether, the present findings support the hypothesis that PL activity mediates conditioned fear responses.
In addition to increased rate during the tone, PL neurons showed increased bursting following conditioning. As shown in Fig. 5, levels of bursting during the tone increased with conditioning, and tended to reduce with extinction training (Fig. 5A; F(2,36) = 3.69, p = 0.035; habit vs. early ext, p = 0.029; early ext vs. late ext, p = 0.19). Training-induced changes in bursting paralleled changes in firing rate during the tone (Fig. 5B; F(2,36) = 11.7, p < 0.001; habit vs. early ext, p < 0.001; early ext vs. late ext, p = 0.0013), although these increases were not correlated with each other across neurons (see Fig. 5C; r = −0.09, df = 17, p = 0.71). This suggests that increased bursting was not an epiphenomenon of increased rate. In contrast to the tone, spontaneous activity during pretone periods did not differ across phases (pretone bursting: F(2,36) = 0.73, p = 0.49; pretone rate: F(2,36) = 1.32, p = 0.28).
Cross-correlations between simultaneously recorded neurons showed increased synchrony during tone periods as a function of conditioning. Correlograms for 36 of 147 cell pairs (24%) showed significant peaks within 100 ms of reference spikes (see Material and Methods for analysis on cross-correlations). The average correlogram for these 36 cell pairs (corrected with shift-predictors) is shown in Fig. 5D. Compared to the habituation phase, early extinction showed significantly more activity around reference spikes (t(35) = 2.69, p = 0.011), consistent with increased spike synchrony. Together with increased bursting, this suggests that conditioning increases the impact of PL on its target structures.
Does PL activity influence recall of extinction? To address this question, we examined tone responsiveness of PL neurons twenty-four hours after extinction training. Similar to our previous study (Burgos-Robles et al., 2007), freezing levels at recall were bimodally distributed across rats, with a cut-off at 50% freezing (see Fig. 6A). Of 15 rats tested, 8 rats showed less than 50% freezing, indicating good recall of extinction (Low-Fear subgroup), and 7 rats showed more than 50% freezing, indicating poor recall of extinction (High-Fear subgroup). Repeated measures ANOVA confirmed a main effect of subgroup at the recall phase (F(1,13) = 37.9, p < 0.001), and revealed no significant subgroup difference during conditioning (F(1,13) = 0.47, p = 0.50) and extinction training (F(1,13) = 3.70, p = 0.077).
We therefore compared excitatory PL tone responses in these two subgroups of rats. As shown in Fig. 6B, high-fear rats showed significantly larger PL tone responses at recall than low-fear rats (t(16) = 2.16, p = 0.046). Furthermore, high-fear rats exhibited a somewhat higher percentage of tone responsive neurons during conditioning (32% vs. 22%), extinction training (37% vs. 19%) and recall (47% vs. 28%, see Fig. 6C). However, due to low n’s these proportions did not reach significance. Thus, increased conditioning in PL neurons may contribute to poor recall of extinction the following day.
We performed multi-channel unit recordings in behaving rats to determine the firing profile of prelimbic neurons during auditory fear conditioning and extinction. We observed that activity of PL neurons is correlated with the expression of fear, across multiple domains: (1) PL neurons showed conditioned responses that dissipated with extinction; (2) PL conditioned responses were sustained throughout the presentation of conditioned tones, correlating with the expression of tone-induced freezing; and (3) the magnitude of tone responses in PL was higher in rats that failed to recall extinction. These findings suggest that PL activity is important for the expression of fear and extinction memories.
Behavioral studies support the idea that PL controls fear expression. Pharmacological inactivation of PL considerably reduced the expression of fear to conditioned tones and contexts (Blum et al., 2006; Corcoran and Quirk, 2007). Deficits in fear expression were also observed following manipulations that impaired glutamate and nitric oxide neurotransmission in PL (Resstel et al., 2007). Furthermore, electrical stimulation of PL increased expression of conditioned fear (Vidal-Gonzalez et al., 2006). Thus, these inactivation and stimulation findings suggest that PL contributes to the expression of conditioned fear, and that the amygdala, while necessary for fear expression (LeDoux, 2000; Davis and Whalen, 2001; Maren and Quirk, 2004; Paré et al., 2004), is not sufficient.
Prior studies have reported fear-related conditioned responses in PL neurons, but did not correlate these responses with behavior. Conditioned responses in PL have been observed in heart rate and eyeblink conditioning tasks (Maxwell et al., 1994; Powell et al., 1996; McLaughlin et al., 2002), and in delay and trace fear conditioning (Baeg et al., 2001; Laviolette et al., 2005; Gilmartin and McEchron, 2005). These authors could not correlate PL responses with sustained fear behavior because they used short-duration conditioned stimuli (e.g., 2-sec) or used restrained or anesthetized preparations that did not allow for the measurement of behavior. Using a long-duration stimulus (30-sec) in unrestrained rats, we were able to observe sustained conditioned responses in a subset of PL neurons that correlated with sustained freezing behavior during both conditioning and extinction. This suggests that PL drives fear behavior and modulates extinction. In support of this hypothesis, recent studies examining neuronal activity with cFos showed that PL activation is correlated with fear expression (Herry and Mons, 2004; Ferreira-Netto et al., 2007; Knapska and Maren, 2008) and extinction failure (Muigg et al., 2008).
PL neurons may receive short-lasting responses from the amygdala, but how are these converted into sustained conditioned responses? In addition to inputs from the basolateral amygdala, PL receives input from the hippocampus and auditory cortex (McDonald, 1991; Thierry et al., 2000; Gabbott et al., 2006). Co-stimulation of the amygdala and the hippocampus produces excitatory convergence in PL neurons (Ishikawa and Nakamura, 2003), suggesting that PL may integrate signals from various structures to produce sustained responding. It is also likely that fear-induced release of neuromodulators such as norepinephrine and dopamine in PL (Hugues et al., 2007) increases the excitability of PL neurons, thus making PL more responsive to amygdala, hippocampal and tone inputs. In support of this model, it was recently shown that the noradrenergic antagonist propranolol reduced the firing rate of PL neurons and reduced fear expression (Rodriguez-Romaguera et al., 2009), and that dopamine increased PL excitability by reducing local inhibition (Floresco and Tse, 2007). In this manner, neuromodulators could augment the impact of PL inputs to produce sustained responding. Thus, PL may act as a site of convergence that integrates auditory, contextual, and stress-related signals to calculate an appropriate behavioral response to a conditioned stimulus (Corcoran and Quirk, 2007) (see model in Fig. 7).
Several lines of evidence suggest that PL drives fear expression via the basal amygdala (BA). PL projects to, and excites, neurons in BA (Room et al., 1985; McDonald et al., 1996; Vertes, 2004; Likhtik et al., 2005), and post-training lesions of BA abolish fear expression (Anglada-Figueroa and Quirk, 2005). Thus, PL could drive BA, which in turn projects to output neurons in the central nucleus of the amygdala to produce fear responses (Kapp et al., 1979; LeDoux et al., 1988; Goosens and Maren, 2001). Complementary pathways by which PL may drive fear responses include direct projections to the ventrolateral periaqueductal gray (PAG) which mediates expression of conditioned freezing, the ventral striatum which mediates avoidance responses, and the lateral hypothalamus which mediates autonomic conditioned responses (LeDoux et al., 1988; Brog et al., 1993; De Oca et al., 1998; Amorapanth et al., 1999; Floyd et al., 2000; Schoenbaum and Setlow, 2003; Gabbott et al., 2005). One prediction from our model is that neurons in BA, PAG, striatum and hypothalamus may show sustained conditioned responses, similar to those we observed in PL.
Interestingly, we observed that rats showing poor recall of extinction had a higher percentage of PL neurons responding to tones. This was true during the recall test, as well as shortly after conditioning, suggesting that these rats had excessive consolidation of fear memory. Extinction failure could therefore be caused by excessive activity in PL, combined with deficient activity in the infralimbic (IL) prefrontal cortex, a structure responsible for inhibiting fear after extinction (Herry and Garcia, 2002; Milad and Quirk, 2002; Barrett et al., 2003; Vidal-Gonzalez et al., 2006; Burgos-Robles et al., 2007). In this way, recall of fear and extinction memories may depend on the optimal balance of activity between PL and IL. This concept may be clinically relevant, as it is known that recall of extinction in humans is modulated by activity in prefrontal homologues of PL and IL, the dorsal anterior cingulate and the ventromedial prefrontal cortex (Phelps et al., 2004; Kalisch et al., 2006; Milad et al., 2007b, a; 2007b). In fact, anxiety disorders are associated with decreased activity in vmPFC coupled with increased activity in dACC (Shin et al., 2006; 2007; Liberzon and Sripada, 2008; Milad et al., 2008). Thus, future therapies for anxiety disorders may be aimed at restoring the balance of activity within this prefrontal network, as recently suggested (Quirk et al., 2006; Schienle et al., 2007; Schiepek et al., 2008).
The authors thank Kevin A. Corcoran, Francisco Sotres-Bayon, Ki A. Goosens, and Mohammed R. Milad for providing comments on the manuscript. This study was supported by the NIH grants MH058883, MH081975, and RR03051 (RCMI). ABR was supported by an NIMH Supplement for Underrepresented Minorities, and IGV was supported by the American Psychological Association Diversity Program in Neuroscience (MH018882). The present study contains part of the doctoral thesis of Ivan Vidal-Gonzalez, who passed away on August 25, 2006. Ivan’s passion for neuroscience, and for helping others, is an example to us all.