Abstract.
In neocortical pyramidal neurons, action potentials (APs) propagate from the axon into the dendritic tree to influence distal synapses. Traditionally, AP backpropagation was studied in the thick apical trunk. Here, we used the principles of optical imaging developed by Cohen to investigate AP invasion into thin dendritic branches (basal, oblique, and tuft) of prefrontal cortical L5 pyramidal neurons. Multisite optical recordings from neighboring dendrites revealed a clear dichotomy between two seemingly equal dendritic branches belonging to the same cell (“sister branches”). We documented the variable efficacy of AP invasion in basal and oblique branches by revealing their AP voltage waveforms. Using fast multisite calcium imaging, we found that trains of APs are filtered differently between two apical tuft branches. Although one dendritic branch passes all spikes in an AP train, another branch belonging to the same neuron, same cortical layer, and same path distance from the cell body, experiences only one spike. Our data indicate that the vast differences in dendritic voltage and calcium transients, detected in dendrites of pyramidal neurons, arise from a nonuniform distribution of A-type conductance, an aggregate number of branch points in the path of the AP propagation and minute differences in dendritic diameter.
Keywords: prefrontal cortex, voltage-sensitive dye, voltage imaging, calcium imaging, long term potentiation, dendritic integration
1. Introduction
Action potentials (APs) propagate from the axon initial segment into the dendritic tree1 to depolarize distal dendritic segments, trigger dendritic influx of calcium ions, and influence the integration and long-term efficacy of distal synapses.2,3 In apical and basal pyramidal dendrites, backpropagating APs decrease in amplitude as they reach progressively distal locations.1,4 In long () basal dendrites, the attenuation is substantial.5,6 In short basal dendrites (), the AP attenuation slope is not so steep.7–11 Notable differences in AP backpropagation efficacy exist even among the most homogenous class of dendritic branches, basal dendrites, which are anatomically positioned at the shortest distance from the soma. One must then wonder about the inhomogeneities (in the AP invasion efficacy) that may exist among more distal apical-oblique and apical-tuft branches. Due to the weak excitability of the dendritic membrane12–14 and the existence of a number of dendritic branch points (BPs) along the path from the soma,15,16 individual oblique and tuft branches may experience vastly different voltage and calcium transients during the propagation of the same AP. If two sister branches (two basal, two oblique, or two tuft dendrites) experience several-fold different amounts of calcium influx during an AP, then the rules of spike timing-dependent plasticity (STDP)17–19 will dictate that certain synaptic contacts will be favored in this process merely due to their impinging on one and not another sister branch. This would imply that the formation and function of neuronal circuits depend not only on synaptic contacts arriving in the precise cortical layer at a precise path distance from the soma, but also on a precise dendritic branch in that layer, as not all sister branches are allowing the same feedback from the axon initiation site, in the form of a backpropagating AP. In the case of axon fibers, notable amplitude heterogeneity was observed in axon varicosities of cerebellar basket cells20 and cortical pyramidal cells.21 The first evidence that neighboring regions of the dendritic tree can experience notably different calcium signals during repetitive AP firing came from pioneering studies on hippocampal CA1 pyramidal cells.16 Here, we used the principles of optical imaging and actual equipment developed by Cohen to investigate the rules of AP invasion in sister branches of layer 5 (L5) pyramidal neurons in the rat medial prefrontal cortex (PFC). Simultaneous optical recordings from neighboring dendrites revealed that the AP-invasion dichotomy is present not only between two cells22–24 but also between two morphologically similar, seemingly equal branches, belonging to one cell. Specifically, we documented the variable efficacy of AP invasion in basal and oblique branches by revealing AP voltage waveforms. Using calcium imaging, we found that trains of APs are filtered differently between individual apical tuft branches. Although one tuft branch passes all spikes in an AP triplet, another tuft branch belonging to the same neuron, same cortical layer, and same path distance from the cell body, experiences only one spike. By sampling dendritic optical signals with high temporal and spatial resolutions, these data revealed that APs fail at BPs in the apical tuft. Following the biocytin reconstructions of recorded neurons, we established a negative correlation between AP signal size and dendritic diameter. Thinner branches always experienced larger AP signals than thicker branches in the same dendritic tree. Our modeling study suggests that very large differences in dendritic signal amplitude are most likely due to uneven distribution of dendritic A-type channels. Further experimentations with A-type current antagonist () confirmed the ability of such conductance to modulate the AP amplitude-ratio between sister branches corroborating our model’s predictions. Combined these data indicate that the vast differences in dendritic voltage and calcium transients that occur during the same AP event arise from the nonuniform distribution of A-type conductance, number of BPs along the path of AP propagation, and minute differences in dendritic diameter between individual branches in the apical tuft.
2. Results
2.1. AP Propagation Failures in Basal Dendrites
Voltage-sensitive dye (VSD) imaging method9 was used to record AP waveforms from the most distal segments of basal branches, dendritic tips [Fig. 1(a), and regions of interest, ROIs 1 to 3]. Simultaneously with optical imaging, the APs were recorded via patch pipette on the cell body [Fig. 1(b), ROI 0]. In the example shown in Fig. 1, AP waveforms were analyzed in three basal branches belonging to the same neuron. In two branches, the half-width of a single-backpropagating AP was similar to that measured in the cell body. During a train of three somatic APs (interspike interval 12.5 ms), the amplitudes of three dendritic spikes were relatively uniform in the most distal segments of two basal branches (Fig. 1, ROI 1 and ROI 3). However, in one sister dendrite, the AP half-width was about twice that obtained in the soma and the amplitude of the first spike in the triplet was less than half that of the third spike (Fig. 1, ROI 2), suggesting a failure of the first AP to invade the distal tip of the basal dendrite. This outcome, the failure of the first AP to invade the dendritic terminal, was detected in five basal dendrites belonging to five pyramidal neurons.
Next, we used the AP half-width as a parameter of the AP invasion efficacy in basal dendrites.5 VSD recordings of dendritic AP waveforms obtained from proximal dendritic segments at distances ranging from 36 to away from the cell body [Fig. 1(c)] produced AP half-widths clustered around 1 ms (, , ) clearly indicating that proximal dendritic segments were successfully invaded by backpropagating APs. VSD recordings of dendritic AP waveforms obtained from the most distal segments of 53 basal dendrites in 33 rat PFC L5 pyramidal neurons showed a much wider range of AP half-widths [Fig. 1(d)]. The majority of dendritic AP half-widths fall in a range , consistent with previously published measurements.7,8,10,11 However, a significant number of dendrites (11 out of 53) exhibited distorted AP waveforms with the AP half-width two to five standard deviations greater than the mean established in proximal recordings [Fig. 1(d), gray area]. Moreover, a small group of basal dendrites (10 out of 53) were characterized with severely distorted AP waveforms, more than five standard deviations above the mean [Fig. 1(d), above the gray area], suggesting a failure of the first AP to invade the tips of basal dendrites. The length of a dendritic branch was not the sole determining factor because dendritic segments of similar path distance from the soma (e.g., ) showed marked heterogeneity in the AP half-width [Fig. 1(d)].
Next, we compared amplitudes of the third and first dendritic spikes in triplets of APs [Fig. 1(b)]. In proximal dendritic segments ( away from the cell body), the third/first signal amplitude ratio was on average [, , Fig. 1(e)]. Note that an amplitude ratio around 1.0 indicates successful invasion of the first AP [Fig. 1(b), ROI 1].5,8 Although the AP amplitude ratios were in proximal dendritic segments [Fig. 1(e)], in distal dendritic tips these values were scattered in a markedly wider range [Fig. 1(f)]. A significant number of dendrites exhibited third/first signal amplitude ratios two to five standard deviations above the mean established in proximal segments [Fig. 1(f), gray area]. Moreover, a small group of basal dendrites (8 out of 52) were characterized with severely distorted AP ratios, more than five standard deviations above the mean [Fig. 1(f), above the gray area], suggesting a failure of the first AP to invade the tips of these basal dendrites.
2.2. AP Propagation Failures in Apical Oblique Dendrites
In apical oblique dendrites, such as in basal dendrites, we found sister branches exhibiting highly different voltage profiles under the experimental paradigm involving triplets of APs. In the example shown in Figs. 2(a) and 2(b), two oblique segments in the same cortical layer, belonging to the same L5 pyramidal neuron, exhibit two different levels of AP attenuation and AP amplitude filtering. One oblique dendrite is experiencing three sharp spikes [Fig. 2(b), ROI 2], whereas in the other branch, the first AP is clearly failing [Fig. 2(b), ROI 1]. It is important to state that the AP invasion process is most successful in proximal segments of basal dendrites7,10 therefore, the properties of AP waveforms established in basal dendrites (Fig. 1) will next be used to gauge AP backpropagation efficacy in the apical oblique tree. The VSD measurements of AP half-widths in apical oblique branches produced values that were overall greater than the mean value (1.13 ms) obtained in proximal segments of basal dendrites [Fig. 2(c), dashed line]. A significant number of “oblique” data points (6 out of 27) fell two to five standard deviations above the 1.13-ms mark [Fig. 2(c), gray area], whereas some points were scattered more than five standard deviations above the mean [Fig. 2(c), above the gray area], suggesting a complete failure of the first spike to invade these oblique branches. Identical conclusions emerged in respect to the third/first spike amplitude ratio in oblique dendrites [Fig. 2(d)]. In summary, the VSD recordings suggested that synaptic contacts near the tips of basal dendrites and apical oblique dendrites experience vastly different voltage depolarizations during single-AP firing, as well as during the first AP in a repetitive firing episode.
2.3. AP Propagation Failures in Apical Tuft Dendrites
AP invasion was studied in apical tuft dendrites of rat PFC L5 pyramidal neurons using calcium imaging.25,26 All neurons in this experimental group () were filled with a mixture containing calcium-sensitive dye (OGB1) and a fluorescent probe (AF594) for tracking dendrites [Fig. 3(a)]. Triplets of APs were triggered by somatic current injection via patch pipette with a 120-ms interspike interval (8.3 Hz). AP-associated dendritic signals were recorded simultaneously from several sister branches in the visual field [Fig. 3(b)]. In the example shown in Fig. 3, three apical tuft branches experienced vastly different outcomes of AP invasion. The backpropagating AP clearly failed in branch ROI 2 while successfully invading two neighboring branches (ROI 1 and ROI 3) located at the same path distance from the soma. A lack of optical signal in the apical tuft branch ROI 2 could be due to a small signal-to-noise ratio, or it could be due to dendritic injury occurring during slice preparation. In each dendrite with documented failure of AP invasion (6 out of 18 neurons), we were able to test and confirm dendritic viability using a higher frequency of AP firing.27 In the example shown in Fig. 3, increasing the AP frequency to 50 Hz (20-ms interspike interval) produced robust Ca2+ signals in ROI 2 [Fig. 3(d)], thus showing that dendritic branch ROI 2 was normally functioning in the previous trial [Fig. 3(c)]. In summary, these data showed that during an invasion of backpropagating AP into the apical tuft of L5 pyramidal neurons, a subset of dendritic branches do not receive the AP-mediated influx despite the fact that at the same moment of time (during the same AP event) the remainder of the apical dendritic tree is amply flushed with . In every neuron studied in this way (), we observed significant amplitude differences between dendritic in the apical tuft. Large interdendritic differences persisted even after boosting the dendritic signals with increased AP frequencies [Fig. 3(d), compare ROI 2 against ROI 3].
2.4. Effect of Dendritic Diameter on the Efficacy of AP Propagation
In order to test whether dendritic diameter affects the efficacy of AP invasion in terminal dendritic branches of the apical tuft, we performed a series of experiments in which optical imaging was followed by morphological analysis. All neurons in this group () were filled with an internal solution in which a histological stain (biocytin) was added to a mixture of fluorescent dyes OGB1 and AF594. This allowed us to reconstruct pyramidal neurons (in Neurolucida) after the optical imaging session [Fig. 4(a)]. Using a magnification lens, the dendritic diameters were measured in those dendritic segments where optical data were acquired [Fig. 4(b)]. Comparisons between sister branches were performed using a ratio between signal amplitudes [Fig. 4(c)] and a ratio between dendritic diameters [Fig. 4(b)]. We found that in an overwhelming majority of the cases (12 out of 15 pairs of sister branches) a branch with a narrower diameter experienced a higher amplitude of the local signal than its sister with a larger diameter [Fig. 4(d)]. A paired -test analysis showed that signal amplitudes in thinner branches [Figs. 4(b) and 4(c), ROI 2] were significantly greater (, pairs) than the signal amplitudes in sister branches with larger diameters [Figs. 4(b) and 4(c), ROI 1]. Thinner branches have a higher surface-to-volume ratio (SVR), which may account for the observed higher accumulation of intracellular in thinner branches [Fig. 4(d)]. The measured dendritic diameters [Fig. 4(b)] allowed us to calculate SVR for each branch in the pair. In order to “predict” the signal discrepancy based on SVR differences, the SVR of a thinner branch was divided by the SVR of a thicker branch [Fig. 4(e1), ). This number represents a predicted difference in signal amplitude between two sister branches based solely on their diameters. In the majority of dendritic pairs, both ratios, the one based on experimental measurements ( amplitude ratio) and the one based on calculations “SVR-ratio,” were greater than 1 [Fig. 4(e1)]. However, their exact numerical values were not in agreement [Fig. 4(e1), compare light and dark gray bars]. In fact, linear regression analysis indicated a very poor fit between the values predicted from calculating SVR ratios and the measured signal amplitude ratios [Fig. 4(e2)], suggesting that factors other than SVR influenced the reported differences in amplitudes between sister branches during the same AP event. Those additional factors may include a difference in endogenous calcium buffers between two sister branches (less likely) and a difference in voltage gated channels (more likely).
2.5. Modeling AP-Ca2+ Signals in the Apical Tuft
Multicompartmental models are useful tools for analyzing multisite data and for generating a testable hypothesis.7,10,13,28 We used a reconstructed PFC L5 pyramidal cell [Fig. 5(a)] to test the variability of AP-induced dendritic depolarizations in the apical tuft. A-type voltage-gated potassium conductance () populates dendrites of pyramidal neurons and opposes AP propagation into the dendritic tree.29 At one end of the parameter range, we set a uniform density of so that dendritic AP waveforms were large in amplitude and fast in dynamics [Fig. 5(b), ]. On the end of the parameter range, we adjusted a uniform density so that dendritic AP waveforms were heavily attenuated [Fig. 5(c), ]. We explored several levels of uniform density in between the two aforementioned extremes. Neither modeling experiment was able to produce large differences in the dendritic AP amplitude between dendritic segments at a similar path distance from the cell body [Figs. 5(b) and 5(c), ROIs 1 to 6]. These data indicate that with a realistic neuronal morphology comprising natural variations in dendritic diameter and uniform density of dendritic conductance, it is rather difficult to create conditions that mimic AP invasion in one and failure in another apical tuft branch [Fig. 3(c)].
2.6. Nonuniform Distribution of A-Type Dendritic Conductance () Underlies Heterogeneity of Dendritic Excitability among Sister Branches
We next hypothesized that a nonuniform distribution of contributed to the observed heterogeneity in AP invasion of the apical dendrites (Figs. 3 and 4). To test this hypothesis, we endowed one apical tuft branch with a cluster of [Fig. 5(d), gray highlight] while keeping a uniform conductance density () in the remainder of the dendritic tree. We increased the conductance in the cluster (fivefold, ) until the backpropagating AP failed to depolarize that the dendritic segment and the difference between the branch with cluster (ROI 6) and a branch without cluster (ROI 1) were pronounced [Fig. 5(e)]. We next hypothesized that a block of conductance with (Ref. 30) may remove large differences in signals observed between sister branches in real experiments (Figs. 3 and 4). In the modeling experiment, we assumed a 50% efficacy of , which resulted in a reduction of global conductance from 250 to (50%) and a reduction of local cluster of conductance from 1250 to (50%). Following a 50% reduction in conductance [Fig. 5(f)], the two dendritic voltage waveforms exhibited much lesser difference in voltage amplitudes, while dendritic currents () became very similar [Fig. 5(f), ROIs 1 and 6]. In summary, the modeling data suggested that an abrupt increase in local conductance density (clustering of channels) can reproduce the observed heterogeneity in AP invasion of the apical dendrites (Figs. 3 and 4). The modeling data also suggested that a selective block of neuronal conductance may remove the heterogeneity in signals among apical tuft branches.
2.7. Block of A-Type Current ( Conductance) causes Stronger Potentiation of AP-Ca2+ Signal in the “Weaker” Branch
In the next series of experiments, the model predictions shown in Figs. 5(d)–5(f) were tested in real neurons [Figs. 6(a1) and 6(b1)]. signals were recorded simultaneously from several apical tuft branches before and after bath application of conductance antagonist (). In control measurements, two sister branches were selected with notably different signal amplitudes [Fig. 6(a2)]. A sister branch with a greater signal amplitude was named the “stronger branch.” Each pair of branches consisted of one strong and one weak branch [Figs. 6(a1) and 6(b1)]. After the treatment, the signal amplitudes increased drastically in both branches of the strong-weak pair [Figs. 6(a3) and 4(b3)]. In every case without exception, the -induced increase in signal amplitude () was greater in the weaker branch than in the stronger branch [Fig. 6(c), cells, pairs of dendrites]. We next calculated signal amplitude ratios between the stronger and weaker sisters in two experimental conditions, before (control) and after application of conductance antagonist [Fig. 6(d)]. treatment removed the difference between strong and weak branches in each pair. The strong/weak amplitude ratio in the condition approached the value of 1.0 [Fig. 6(d), dark bars]. In every instance within this experimental group, the blockade of conductance reduced the difference between a strong and weak sister branch in the pair [Fig. 6(d)]. In three cases (Cells 1, 2, and 3b), the difference between strong and weak was almost completely removed, consistent with the modeling result shown in Figs. 5(d)–5(f).
2.8. Branch-Specific and Spike-Order-Specific Filtering of Backpropagating APs
In this experimental series, PFC L5 pyramidal neurons () were stimulated through somatic patch pipette to produce three APs with an interspike interval of 120 ms. In 27 out of 107 neurons, transients were not detected in the apical tuft [Fig. 7(a1), “NO signal”]. In 80 out of 107 cells, the AP-induced transients were detected in midsegments of at least one apical tuft branch [Fig. 7(a2), “YES”]. In the entire group of 107 pyramidal cells, a total of 325 apical tuft branches were analyzed for the presence of successful AP invasion. Four types of the AP invasion outcomes were observed. The most common outcome (39.7%) was an apparent lack of any transients [Fig. 7(a2), 0 AP peaks detected]. The second most common outcome (35.1%) was a signal associated with the first spike only [Fig. 7(a2), “1”]. In 13.8% of branches (45 out of 325), we detected peaks associated with first two APs in a train [Fig. 7(a2), “2”]. A one-to-one match between somatic APs and dendritic calcium peaks [Fig. 7(a2), “3”] was detected in only 11.4% of apical tuft branches analyzed in this experimental group (37 out of 325). In 32 out of 107 neurons, the number of peaks (successful AP invasions) was not the same in all neighboring apical tuft branches. In the illustrative example shown in Figs. 7(b1)–7(b3), one dendritic branch experiences three APs while two other branches, belonging to the same neuron, experience only one AP at the same instance of time [Fig. 7(b4), rectangle]. In another example, three APs invade apical tuft branches [Figs. 7(c1) and 7(c2), ROI 2 and 3] while only two APs “break” into the neighboring apical tuft dendrite (ROI 1). These data unequivocally show that at the same instance of time two apical tuft branches at an identical path distance from the cell body experience vastly different voltage and transients depending on the temporal order of APs in a train.
2.9. APs are Lost at Branch Points
In order to determine the effect of BPs on AP filtering, simultaneous multisite recordings were performed from apical tuft dendrites with multiple branches emanating from parent dendrites [Fig. 7(d1), ROIs 2 to 7]. In this particular example, a backpropagating train of APs crosses four successive BPs on its way from the main apical trunk to the ROI 7 [Fig. 7(d1)]. Optical recordings performed at multiple locations before and after a given BP revealed that the propagation process is shedding off late APs at each BP. More specifically, out of three APs moving from the cell body through ROI 1, only two APs survived the passage through BP-2 and were detected in ROI 3 [Fig. 7(d2)]. Out of two APs detected in ROI 3 only one AP survives the passage through BP-3. From ROI 1 to ROI 7, the backpropagating train of APs travels through four BPs and loses a total of two spikes on this journey. Note that in this particular case, the experimental measurements documented a gradual loss of spikes at each BP location [Fig. 7(d2)]. In some other cases, a train of three spikes [Figs. 7(e1)–7(e3), ROI a2] was swiftly “decimated” to one AP by a single BP [Figs. 7(e1)–7(e3)], compare ROI a3 and ROI a4]. The first AP in a train does not pass through a distal BP unhurt. Based on drastic discrepancies in amplitude of the optical signals before and after BP, it can be deduced that even the successful invaders of distal apical tuft are reduced in amplitude [Fig. 7(e4), compare ROI a1 and ROI a4]. The total number of BPs is a very important parameter of AP backpropagation into the apical tuft. A difference as small as just one BP between two AP propagation paths may cause notable differences in the amount of AP filtering at two dendritic locations. In the example shown in Fig. 7(e), one dendritic branch (ROI a4) experiences only one AP, while the neighboring dendritic branch, positioned at a similar path distance from the soma, experiences three APs at the same moment of time [Fig. 7(e3), ROI b3]. One extra BP [Figs. 7(e1) and 7(e2), arrow] is the principal difference between the two propagation processes at ROI a4 and ROI b3. In summary, these data indicate that BPs effectively filter trains of backpropagating APs at a low AP firing frequency () by removing later spikes in a train. BPs cut down the number of total spikes invading distal dendritic segments in the apical tufts of L5 pyramidal neurons.
3. Discussion
Optical imaging provides a unique access to cellular compartments too small to tolerate glass electrode recordings.31,32 Here, we used the basic principles and recording equipment developed by Cohen and Lesher.33 In the present study, voltage-sensitive and calcium-sensitive dye recordings in basal, apical oblique, and apical tuft dendrites of PFC L5 pyramidal neurons revealed a pronounced heterogeneity of voltage and calcium transients occurring in individual branches at the same distance from the soma and at the same moment of time. Notable differences in dendritic signal dynamics or amplitude were documented among dendritic branches situated in the same cortical layer (two basal, two oblique, or two apical tuft branches) belonging to the same pyramidal cell.
3.1. Voltage Waveforms in Basal and Oblique Dendrites
It was previously shown that the voltage waveforms of backpropagating APs decrease in amplitude with distance from the cell body.12 At the current state of methodology, the dendritic VSD imaging technique cannot be used to compare signal amplitudes from two locations on the same cell. Despite a linear relation between the optical and electrical signals,33 the optical signals obtained with internally applied VSDs cannot be calibrated based on a whole-cell recording from the soma. Voltage imaging signal-amplitude, expressed as fractional change in resting light intensity (), varies along the dendritic tree depending on the exact ratio between the lipophilic membrane experiencing a voltage change (e.g., plasma membrane) and the lipophilic membrane not seeing these membrane potential changes (e.g., internal organelles). Because this membrane ratio varies between neuronal compartments (soma, axon initial segment, axon, proximal, middle, or distal dendrite) the amplitude of an optical signal in one compartment (e.g., soma) is very different from an optical signal caused by the same voltage change but in a different compartment (e.g., dendrite). As a consequence, voltage imaging cannot be used to determine the amplitude of dendritic AP in millivolts based solely on the somatic whole-cell recording, as discussed in Ref. 7. Actually, absolute values in millivolts can be attained from remote dendrites if voltage imaging is combined with a reliable calibrating signal such as nonattenuating AP34 or glutamate reversal potential.35 However, calibration was not attempted here. In the absence of absolute membrane potential values, this project relied on AP shape (half-width) and relative change in AP amplitude within a triplet of APs. Significant increases in AP duration and/or significant changes in relative AP amplitude between subsequent APs are the known signs of altered efficacy of AP propagation or impending AP failure.5 In contrast to the conclusions of Kampa and Stuart,5 we found that in the majority of basal dendrites the backpropagating APs invaded the most distal ends of the dendritic branches. In our experiments, there is no uncertainty about the fate of an AP distal to the recording site because in the majority of our measurements the recording site was at the tip of the dendrite (Fig. 1). The discrepancy between our study and that by Kampa and Stuart5 may simply be because we obtained good signal-to-noise ratios by averaging just four sweeps, while Kampa and Stuart5 used excessive averaging of up to 100 sweeps. Excessive averaging introduces AP jitter (small variations of the AP latency) and disrupts the shape and amplitude of the briefest signals, which in this case was the first AP [Fig. 1(b)]. No calibration was supplied to determine the amplitude of VSD signals observed in the study of Kampa and Stuart.5 Both studies, Kampa and Stuart5 and the present study, rely on relative signal amplitudes, a method previously used in VSD measurements to compare glutamate-mediated dendritic plateau potentials and backpropagating AP in the same segment of a basal dendrite.36 In general, AP-invasion dichotomy was considered to be an intercellular process, in which two cells of the same class (two hippocampal CA1 pyramidal neurons) exhibit two extreme outcomes of AP backpropagation—invasion and failure.22 Our recordings of AP voltage waveforms performed on multiple dendrites of the same neuron [Fig. 1(a)] provide unequivocal evidence of an “intracellular” AP-invasion dichotomy. That is, AP invades some but not all dendrites belonging to the same pyramidal cell [Fig. 1(b)]. In summary, systematic VSD imaging revealed a pronounced heterogeneity of AP efficiency in both basal and apical oblique dendrites of PFC L5 pyramidal neurons.
3.2. AP-Induced Dendritic Calcium Signals in the Apical Tuft
Previously published dendritic imaging data indicate that single AP (or low-frequency AP train) either failed or succeeded in inducing dendritic transients in the apical tuft of cortical pyramidal neurons.16,23,25,37–40 Half of these studies claimed an apparent failure of a single AP, whereas the other half claimed a successful invasion of distal apical dendrites by a single AP. In the present study, we found evidence to support both views; the failures and the successes. In 25.3% of L5 pyramidal neurons tested in this way, the transients were not detected in any branch of the apical tuft [Fig. 7(a)]. In the remaining 74.7% of the cells, clear signals were detected in at least one apical tuft branch in response to a single-somatic AP or triplet of APs at a slow firing rate (). The observed dichotomy of AP backpropagation in pyramidal neurons belonging to one putative class of cells (PFC L5 pyramidal cells) can be attributed to subtle differences in either the diameter of the primary apical dendrite, branching pattern or distribution, density, or modulatory state of voltage-gated channels along the somatodendritic axis,41 as previously concluded by Golding et al.,21 who used hippocampal CA1 neurons in their study.22 Here, we extend the Golding et al. repertoire of dendritic heterogeneities in five directions. First, we confirm the presence of dendritic dichotomy in PFC L5 pyramidal cells. Second, we determined that the smaller diameter apical tuft branches experience a higher amplitude of transients than their sister branches in the same cell (Fig. 4). Third, we provide evidence that a nonuniform distribution of A-type conductance is responsible for the observed heterogeneity among sister branches in the apical tuft (Figs. 5 and 6). Fourth, we reveal differential filtering of AP trains in apical tuft branches, resulting in an unequal number of APs arriving in two neighboring sister branches [Fig. 7(b)]. Fifth, we determined that dendritic BPs cleave off the late spikes in an AP train. As an AP train backpropagates into more and more distal dendritic segments fewer and fewer spikes remain in the train [Fig. 7(d)].
3.3. Branch-Specific AP Invasion Efficacy
The present study revealed that dendritic segments of similar path distance from the soma showed a marked heterogeneity in the amount of influx during the same AP event (Fig. 3), consistent with the findings in hippocampal CA1 neurons.16 Spruston et al.16 used imaging to study sister branches. We used voltage imaging to learn that the voltage waveforms of backpropagating APs exhibit dramatic differences between two or more sister branches belonging to the same cell. This is a surprising finding in basal dendrites given their relatively short path distance from the cell body and the fact that a significant portion of dendritic depolarization comes from a passive spread of voltage from the soma into a basal dendrite.7,13,38 Previous publications stated that APs fail to invade basal dendrites5,6 implicating a robust physiological principle applicable to all basal dendrites in one pyramidal neuron. New data clearly showed that basal dendrites cannot be considered as a monolith compartment with a predictable excitability profile. Although some basal dendrites receive little depolarization during low frequency firing, a significant number of basal dendrites are successfully invaded by backpropagating AP, as evident from imaging,7,8 and voltage imaging8,11 of the most distal segments on these basal dendrites.
Apical oblique branches were traditionally studied by imaging,30 while the voltage waveforms of backpropagating APs in apical oblique dendrites were not readily available, but see Refs. 7 and 42. The present study revealed that the same type of the AP-invasion uncertainty found in the basilar dendritic tree also exists in apical oblique branches of PFC L5 pyramidal neurons (Fig. 2). Therefore, the apical oblique dendrites cannot be considered as a monolith, gradually changing compartment, with a predictable excitability profile, solely dependent on the path distance from the soma. Instead, some oblique branches receive small, while other oblique branches, belonging to the same neuron, receive large depolarizations during low frequency AP firing.
3.4. Order-Specific AP Invasion Efficacy
At AP firing frequencies smaller than 10 Hz, individual apical tuft branches belonging to the same neuron, develop highly heterogeneous voltage profiles. At identical path distances from the soma, two dendritic segments positioned on two neighboring apical tuft branches experience dramatically different outcomes of AP invasion. In the present project, high sampling rates (200 to 500-Hz frame rate) allowed us to detect peaks corresponding to each AP in the train (Fig. 7), whereas a multisite approach allowed us to compare peaks in two or more apical tuft dendrites occurring at the same moment of time. The dichotomy between apical tuft branches described in Fig. 3(c) was based on the passage or failure of the first AP in the train of APs. However, even in the case in which the first AP invaded both apical tuft branches, the AP backpropagation process still had notably different outcomes for later spikes in a train.43 Our recordings showed that the number of peaks in any given apical branch varied between 0, 1, 2, and 3 [Fig. 7(a2)]. For example, one apical branch was invaded with all three spikes in a train, whereas in the neighboring branch only the first AP was successful [Fig. 7(b)].
Failing APs bring negligible into dendrites (Fig. 3), therefore, it is highly possible that -dependent dendritic processes would undertake completely different paths in two neighboring apical tuft branches during the same episode of neuronal electrical activity [Fig. 7(f)]. Based on the rules of STDP, the synaptic inputs coinciding with the second and third spikes in a train will potentiate in one and depress in another branch of the same pyramidal neuron at the same moment of time. Complex scenarios for synaptic plasticity rules in neurons with long dendrites (cortical pyramidal neurons) have been proposed in the past. Some of these rules were based on the absolute distance between the synaptic input site and the soma.44–47 These studies implicate that synaptic inputs arriving in different cortical layers are subject to different learning rules.44,45 Here, we unequivocally show that two synaptic inputs converging into the same cortical layer (; ; ), and arriving on the same pyramidal neuron, at the same distance from the cell body, encounter dramatically different dendritic voltage and calcium transients (Figs. 1–3). Therefore, the layer specificity of synaptic inputs may not be a good predictor of excitatory postsynaptic potential–AP interactions.
3.5. Intraneuronal Functional Maps can be Very Complex
Several functional parameters that are known to possess orderly gradients within a single neuron29,48 have prompted a notion of intraneuronal topographic functional maps. Narayanan and Johnston49 define a functional map within a neuron as an orderly progression of a functional parameter on the topography of the neuron. A functional map, as depicted in Fig. 1 of Ref. 49, may apply to the thick apical trunk, but it does not apply to thin dendrites (oblique and tuft) according to our new experimental data. Individual dendrites, branching off the main apical trunk (oblique and tuft dendrites), possess unique, highly divergent, branch-specific properties (Figs. 1–7), which cannot be predicted from the generalized spatial distributions of dendritic voltage-gated conductances (Fig. 1 of Ref. 49).
3.6. Mechanisms of AP Heterogeneity in Sister Dendrites
Although it is entirely obvious that passive22,50,51 and active dendritic properties29,48,52–54 may underlie the difference in AP backpropagation efficacy between proximal and distal dendritic regions,24,37,38,40,55 it is considerably more difficult to understand why two daughter branches stemming from the same parent dendrite, at a similar path distance from the soma, exhibit highly variable voltage and calcium dynamics during the same AP backpropagation event (Fig. 3).16,56 Three major factors determine the success or the failure of an AP to invade an apical tuft branch. The first factor is the diameter of a daughter branch. AP propagates (backpropagates) from a thick apical trunk (parent) into several thin apical tuft branches (daughters). The effect of a variable cable diameter on the propagation of regenerative membrane potentials was thoroughly dissected in the classical works of neuro-biophysics.50,57,58 Briefly, the daughter branches with smaller diameters are endowed with greater input impedance, and therefore, present lesser obstacle for an AP emanating from the parent dendrite than daughter branches with larger diameters (Fig. 4). This theoretical conclusion is supported by our current data, as signal amplitudes were always greater in thinner branches [Fig. 4(d)]. However, the greater signal in the thinner branch can also be explained by a more favorable SVR in the thinner branch [Fig. 4(e1), light gray bars]. Due to this inherent sensitivity of the signal to SVR, the current data cannot be used to conclude that the observed differences in signal amplitudes (Figs. 3 and 4) were caused by greater voltage depolarizations (stronger AP invasion). Nevertheless, the current data clearly established that thinner branches do experience substantially greater signal amplitudes during the same AP event [Figs. 4(d) and (e1)]. The second factor which determines the extent of AP invasion is a nonuniform distribution of A-type dendritic conductance (Fig. 5). Fast-activating A-type channels act to prevent large, rapid dendritic depolarizations, thereby regulating orthograde and retrograde propagation of dendritic potentials in CA1 pyramidal cells.29,59 As in hippocampus, these channels effectively prevent and limit the backpropagation of APs into the basal, oblique, and apical dendrites of neocortical pyramidal neurons too.10,29,30,60 The modeling experiments (Fig. 5) showed that naturally occurring differences in the daughter branch diameter can only account for small but not large differences in amplitudes between two apical tuft sisters. The first AP in a low frequency train is a biophysical equivalent of a single AP. As slow voltage-gated dendritic currents (h-current and -currents) have a minimal impact on a single AP, a differential invasion of the first AP in a train [Fig. 3(c)] can be achieved by combining the daughter diameter with a nonuniform distribution of fast voltage-gated dendritic conductances ( or ). There is little evidence of variations in dendritic conductance density along a dendrite,14 and if experimental data do sometimes point to a nonuniform distribution of dendritic channels, the gradients of conductance with distance from the cell body are very shallow.6,10 The story of the A-type membrane conductance, on the other hand, is laid with examples of highly nonuniform channel distributions.10,60–65 Our computational model explored the effect of a channel cluster in apical tuft branches. The modeling data indicated that sister branches carrying clusters of A-type channels would show a greater rate of single-AP failures than the neighboring sister branches without such clusters [Fig. 5(e)]. The modeling data indicated that a selective block of A-type channels would effectively eliminate differences in voltage and calcium transients between the tuft sisters [Fig. 5(f)]. This model prediction was confirmed in real experiments using an A-type channel antagonist (Fig. 6). Combined modeling and pharmacology experiments (Figs. 5 and 6) suggest that in straight dendrites with fewer BPs, A-type channels are responsible for a highly heterogeneous nature of AP invasion into the sister branches of the apical tuft. In conclusion, the observed large differences in amplitudes between two apical tuft sister branches seem to depend on the total number of BPs [Figs. 7(d) and 7(e)], dendritic diameter (Fig. 4) and nonuniform distribution of A-type channels in the membrane.
4. Summary
Branch-specific invasion of the AP (Figs. 1–3) and branch-specific filtering of AP trains (Fig. 7) strongly indicate that a feedback AP signal (backpropagating AP) interacts with synaptic contacts in a manner that cannot be predicted from the generalized spatial distributions of passive and active dendritic properties obtained from patch electrode recordings along the thick apical trunk. The focus of the current project was on fine (thin) dendritic branches, basal oblique, and tuft dendrites. During an episode of slow () AP firing (triplet of APs with 120-ms interspike interval) some of these thin dendrites receive 0 spikes, some receive just one spike, while others experience two or even all three spikes in a train. An orderly progression of a functional parameter on the topography of a neuron (Fig. 1 of Ref. 49) [Acker and Antic,10 their Figs. 7(a) and 7(b)] cannot be used to precisely describe signal integration in real neurons because dendritic segments belonging to the same class of dendrites (basal, oblique, or tuft), positioned at the same path distance from the soma experience vastly different voltage and calcium transients at the same moment of time. Synaptic inputs seeking robust coupling with the axonal output (AP initiation site) must not only choose an appropriate cortical layer and an appropriate pyramidal cell, but more importantly they must “choose” a specific dendritic branch. The heterogeneity of AP invasion efficacies among two seemingly equivalent sister branches (two basal, two oblique, and two apical tuft dendrites) probably serves to increase the complexity of signal integrations at the level of an individual neuron, to expand the list and range of neuronal parameters eligible for modulatory/plastic changes, and to further reduce the deterministic aspect while increasing the stochastic nature of cortical processing.66 Paradoxically, information processing is not only dependent on signal strength but also on a certain amount of basic noise and randomness.67–69
5. Methods
5.1. Brain Slice and Electrophysiology
Sprague-Dawley rats (P21–42) were anaesthetized with isoflurane inhalation, decapitated, and the brains extracted with the head immersed in ice-cold, artificial cerebrospinal fluid (ACSF), according to an animal protocol approved by the Center for Laboratory Animal Care, University of Connecticut. ACSF contained (in millimeters): 125 NaCl, 26 , 10 glucose, 2.3 KCl, 1.26 , 2 , and 1 , pH 7.4. Coronal slices () were cut from frontal lobes. All experimental measurements were performed at 32°C to 34°C. Whole-cell recordings were made from visually identified layer five pyramidal neurons within the medial PFC, including prelimbic and infralimbic cortex. Intracellular solution contained (in millimeters): 135 potassium gluconate, 2 , 3 , 10 -phosphocreatine, 0.3 , and 10 Hepes (pH 7.3). Electrical signals were amplified with a Multiclamp 700B and digitized with two input boards: (1) Digidata Series 1322 A (Molecular Devices, Union City, California) and (2) Neuroplex (RedShirtImaging, Decatur, Georgia). Only cells with a membrane potential more negative than (not corrected for junction potential) and AP amplitudes exceeding 80 mV (measured from the baseline) were included in this study. APs were evoked with depolarizing current steps injected into the cell body (intensity 1.0 to 1.5 nA; duration 1.5 to 2.0 ms).
5.2. Dye Injection
VSD (JPW-3028, provided by Leslie Loew, UConn Health)70 and calcium-sensitive dye (Oregon Green BAPTA-1, OGB1, Invitrogen) were dissolved in intracellular solution. The protocol for VSD injection was previously described in Ref. 7. Briefly, neurons were filled through whole-cell patching pipettes with JPW-3028. Loading pipettes were filled with two varieties of the same intracellular solution, one with and one without the dye. Dye-free solution was occupying the tip of the pipette, while the back of the pipette lumen was loaded with dye-rich solution (400 to ). The purpose of dye-free solution in the pipette tip was to prevent dye-leak during the maneuver through brain slice tissue. This procedure is considerably less important for calcium-sensitive dye injection. JPW3028 was injected at room temperature for 30 to 45 min. The filling pipette was carefully pulled out (outside-out patch) and brain slices were left to incubate for 2 to 3 h at room temperature. Right before optical recordings, the cells were re-patched with a dye-free pipette at (32°C to 34°C). In calcium imaging experiments, Alexa Fluor 594, AF594 () was included in the intracellular solution to aid the positioning of dendrites inside the camera visual field. The calcium-sensitive dyes were injected for 30 to 45 min before optical recordings.
5.3. Dendritic Voltage and Calcium Imaging
Multisite dendritic imaging was performed on an Olympus BX51WI microscope equipped with a 40× objective, two camera ports and a low-ripple light source for epi-illumination—Xenon arc lamp (OptiQuip, Highland Mills, New York). Functional dendritic imaging was performed with a NeuroCCD camera (, RedShirtImaging, LLC, Decatur, Georgia). Voltage and calcium signals were sampled at a 2000 or 200 Hz frame rate, respectively. Optical filters were from Chroma Technology (Rockingham, Vermont) and Omega Optical (Brattleboro, Vermont). The filters for Alexa Fluor 594 were Chroma exciter , dichroic Q595LP, and emitter HQ630/60m. The filters for Oregon Green Bapta-1 contained Omega exciter 500AF25, dichroic 525DRLP, and emitter 530ALP. The filter set for voltage-imaging (JPW-3028) consisted of Chroma exciter D510/60, dichroic 570dcxru, and emitter E600lp. A spike-triggered averaging routine available in Neuroplex (RedShirtImaging, Decatur, Georgia) was used to improve the quality of measurements (signal-to-noise ratio).
5.4. Data Analysis
Analysis of optical data, including spatial averaging, high pass filtering, and low pass filtering, was conducted with Neuroplex 8.0.0 (RedShirtImaging, LLC). To process off-line calcium imaging data, we applied a Butterworth high pass filter at a 0.1-Hz cut-off and a Gaussian low pass filter at a 90-Hz cut-off; for voltage imaging processing, the high and low pass filters were set at Butterworth 1 Hz and Gaussian 900 Hz unless otherwise specified. Electrical recordings were analyzed in AxoScope9.2 (Axon Instruments, Inc.).
Statistical tests were performed using SigmaPlot 8.02. All statistics were done on raw data points before normalization. Paired student’s -test was used for comparing data obtained from sister branches belonging to the same neuron. Significance was set as value and high significance as . Values are presented as . In the calculation of the SVR, dendritic segments were treated as right circular cylinders. The lateral surface of a dendritic segment equals to , where “” is the dendritic diameter, and “” is the length of the dendritic segment. The volume equals to . Hence, . If the signal size depends on SVR only, then one can predict the difference between two branches based solely on dendritic diameters. In other words, the SVR of a thin branch divided by the SVR of the thick branch (SVR_thin/SVR_thick) should match the ratio “”.
5.5. Model Simulation
Simulations were performed in NEURON (Ref. 71). The model cell was based on a biocytin-reconstructed PFC layer 5 pyramidal cell. The morphology with incorporated voltage-gated channels is copied from10 and available in ModelDB (Ref. 72). Voltage-gated sodium channels were distributed on the model’s soma, axon, and apical dendrites with maximal conductance densities of 900, 5000, and , in each region, respectively. The large axonal sodium conductance was used for robust axonal AP initiation. Delayed rectifier potassium channel conductance density was except in the model’s axon, where it was . In the soma, A-type potassium channels of the “proximal” type73 were added with a conductance density of . In the apical dendrites, the distal A-type potassium conductance density was set uniformly at and varied between trials in the range from 250 to . The axon included a low-threshold activated, slowly inactivating potassium current with a conductance density of beyond a distance from the soma. A low-threshold voltage-dependent calcium conductance was distributed on the dendrites (locations from the soma) with a conductance density of along with a high-voltage-activated calcium conductance at . The soma and perisomatic regions contained 8 and of low-threshold and high-voltage-activated calcium conductance, respectively. Passive membrane properties were as follows: specific intracellular , specific membrane , . To account for dendritic spines, a “spine factor” of 1.5 was used to increase capacitance and leak conductance in the dendrites beyond a distance of .
Acknowledgments
This work was supported by National Institutes of Health grant (MH063503), NARSAD Young Investigator Award and Institutional HCRAC grant. We are grateful to Douglas L. Oliver and Deborah Bishop (University of Connecticut) for help with Neurolucida reconstructions. We are grateful to Leslie M. Loew (University of Connecticut) for providing voltage-sensitive dyes, to Corey D. Acker (University of Connecticut) for help with NEURON, to Dejan Zecevic (Yale University) for expert advice on voltage imaging and to Chun Xiao Bleau (RedShirtImaging) for active supporting of the multisite imaging software.
Biographies
Wen-Liang Zhou obtained his PhD degree from the University of Connecticut and now works in the laboratory of Marina Picciotto at Yale University.
Shaina M. Short obtained her PhD degree from the University of Connecticut and now works in the laboratories of Justus Verhagen and Gordon Shepherd at Yale University.
Matthew T. Rich obtained his master’s degree from Hartford University and he is now a graduate student in the laboratory of Mary M. Torregrossa at the University of Pittsburgh.
Katerina D. Oikonomou obtained her PhD degree from the University of Connecticut and now works in the laboratories of Larry Hoffman and Felix Schweizer at UCLA.
Mandakini B. Singh is a PhD student in the neuroscience program at the University of Connecticut.
Enas V. Sterjanaj obtained his master’s degree from Hartford University, currently works in the genetic testing lab at Charles River, and is applying for admission into a graduate PhD program.
Srdjan D. Antic is a researcher at the University of Connecticut, School of Medicine. He obtained an MD degree in medicine and an MS degree in biophysics at Belgrade University, Serbia. He was trained in several laboratories, including the laboratories of Dejan Zecevic (Yale University), Lawrence B. Cohen (MBL, Woods Hole), and Patricia Goldman-Rakic (Yale University).
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