Abstract
The thalamocortical projection to layer 4 (L4) is thought to be the main route by which sensory organs communicate with cortex. Sensory information is believed to then propagate through the cortical column along the L4→L2/3→L5/6 pathway. We discovered that sensory-evoked responses of L5/6 neurons derive instead from direct thalamocortical synapses. Many L5/6 neurons exhibited sensory-evoked post-synaptic potentials with the same latencies as L4. Paired in vivo recordings from L5/6 neurons and thalamic neurons revealed significant convergence of direct thalamocortical synapses onto diverse types of infragranular neurons, particularly in L5B. Pharmacological inactivation of L4 had no effect on sensory-evoked synaptic input to L5/6 neurons. L4 is thus not an obligatory distribution hub for cortical activity, and thalamus activates two separate, independent “strata” of cortex in parallel.
The conventional model of neocortex is that sensory processing begins in L4, which has been known for a century to be the principal target of thalamic afferents. Cortical layers are believed to transform sensory information as excitation spreads serially along the L4→L2/3→L5/6 pathway (1–4). This hierarchical serial model is consistent with anatomical observations that axons of excitatory L4 neurons primarily innervate L2/3 and axons of L2/3 pyramidal neurons arborize extensively in L5/6 (1, 4). L5 neurons comprise a major output of the cortex, having the most substantial axonal innervation of subcortical and cortical structures, while L6 neurons transmit feedback to thalamus and cortex (4–6).
The same thalamocortical (TC) axons that arborize so extensively in L4 also have sparser branches in the infragranular layers at the L5–L6 border (7–11), which have been assumed to be modulatory (3, 11, 12). Recent quantitative measurements of reconstructed TC axons suggest, however, that innervation of L5/6 may be significant albeit less than that of L4 (8). Therefore, L5/6 neurons might integrate sensory information from at least two classes of inputs: the direct thalamocortical pathway and the indirect L4→L2/3→L5/6 pathway. We investigated this in adult rats administered local anesthetics and a sedative, which better approximate wakefulness than does general anesthesia (13, 14). We made in vivo whole-cell recordings from 176 neurons in barrel cortex and juxtasomal recordings from 76 neurons in ventral posterior medial (VPM) nucleus of thalamus, areas processing tactile input from the facial whiskers during environment exploration.
The conventional model predicts that the responses of neurons in L5/6 should lag those in other layers. We compared the latencies of sensory-evoked sub- and supra-threshold responses of morphologically identified neurons in every layer of barrel cortex. Strong high-velocity whisker deflection evoked robust post-synaptic potentials (PSPs) in neurons in all cortical layers (Fig. 1A). L4 onset latencies preceded those in L2/3 (Fig. 1B, C; L4: 7.76 ± 0.16 ms, n = 24; L2/3: 11.04 ± 0.26 ms, n = 18; p < 10−13). While the average L5 (9.44 ± 0.3, n = 53) and L6 latencies (10.68 ± 0.67 ms, n = 13) were longer than that of L4, many L5 cells rivaled L4 in latency. Moreover, the longer-latency PSPs among L5 cells occur simultaneously with, not after, the onsets of L2/3 cells (Fig. 1B, C). Many L5 cells exhibited spike latencies as short as cells in L4 (Fig. 1D–F).
Short L5/6 latencies could result from substantial thalamocortical convergence, which can be estimated from the probability of finding TC-L5/6 connections. Ideally, synaptic measurements are made in vivo rather than in vitro to avoid issues related to lack of background synaptic input, the concentrations of extracellular ions and neuromodulators, and severing of axons during slice preparation. We used a previously developed technique to identify and quantify individual synaptic connections in living animals (14). Whole-cell recordings were made from neurons in L5/6 during simultaneous juxtasomal recording of action potentials from somatotopically aligned VPM neurons (Fig. 2A, B). The average PSP (aPSP) that a single thalamic cell produces in a cortical neuron (Fig. 2C, D) was estimated by spike-triggered averaging and corrected for the contribution of unrecorded inputs (see SOM).
Monosynaptic connections were observed onto L5/6 neurons (10 of 55 topographically aligned pairs tested, including morphologically identified and unidentified cells). Of the morphologically identified subset (Fig. 2E), connections were observed more frequently onto L5 pyramidal neurons (26%, 7 connected of 27 pairs tested) than onto L6 cells (9%, 1 of 11). Connections were not observed onto topographically unaligned cells or pyramidal neurons with apical trunks extending through the septal region between L4 barrels (Fig. 2E).
Individual TC connections onto infragranular neurons produced relatively small depolarizations (mean ± SD 571 ± 46.5 μV, median 463 μV, range 137 μV to 1.18 mV; Fig. 2F), similar to TC-L4 synapses (~500 μV; (14)). Mean onset latencies and 20–80% rise times were 2.40 ± 0.31 and 6.17 ± 4.55 ms, respectively. Neurons in each layer responded to conventional high-velocity stimuli with PSPs proportional to the probability of finding TC connections in that layer (Fig. 2G), consistent with direct TC connections producing sensory-evoked responses.
Morphological and physiological subtypes, which correlate with spatially intermingled L5/6 neuronal subclasses having distinct project targets (15, 16), may be preferentially thalamorecipient (9). Monosynaptic TC connections were observed most frequently on L5 thick-tufted neurons (44%, 4 connected of 9 pairs tested) but were also observed on L5 thin-tufted (17%, 3 of 18) and L6 (9%, 1 of 11) pyramidal neurons (Fig. 2H, I; Fig. S1A) and smooth interneurons (1 of 3). In vitro L5 thick-tufted neurons are typically “intrinsically bursting” (IB) whereas adapting trains of single spikes are more typical of the “regular-spiking” (RS) L5 thin-tufted neurons (9, 16). The predominant firing type of both morphological classes in vivo, however, was IB (Fig. S1B, C), possibly due to our awake-like conditions, and monosynaptic connections were observed onto both physiological cell types (Fig. S1D, E). By contrast, most connected cells had somata at depths of 1400–1600 μm, where thalamic axons arborize in L5B/6A (7, 8), even though we sampled substantially from depths shallower than 1400 μm (Fig. 2J, left). Neurons in the TC arborization zone near L5B had the largest sensory-evoked PSPs (Fig. 2J, right).
Given that a whisker’s representation in VPM contains ~200 neurons (14), 9–44% convergence is substantial, translating into ~20–90 thalamic connections per cell depending on its type. While individual TC synapses are weak, this number of synchronous convergent inputs may provide a second powerful pathway into the cortex, capable of directly driving the activity of L5 and responsive L6 cells. We therefore sought to dissect the contributions of the direct TC pathway and the indirect L4→L2/3→L5/6 pathway to the sensory responses of infragranular neurons, by inactivating L4 during sensory stimulation. Silencing of L4 was achieved by pressure ejection of lidocaine and confirmed by monitoring the local field potential (LFP) through the drug pipette. Beyond blocking action potentials in L4 cells, lidocaine suppresses axonal conduction within L4, along TC axonal branches that extend directly into L3, and along the radial trunk axons from L2/3 cells that traverse L4 to synapse in L5/6. This manipulation thus disconnects the upper and lower cortical layers, leaving intact the TC-L5/6 pathway.
To validate our manipulation, we performed whole-cell recordings of L4 neurons located 150 μm from the LFP/drug pipette (Fig. 3A). Lidocaine injection not only prevented these L4 cells on the other side of the barrel from discharging any action potentials, but also robustly and reliably eliminated virtually all spontaneous and sensory-evoked synaptic input (Fig. 3B–D; n = 6, from 10.71 ± 1.21 to 0.27 ± 0.08 mV, p = 0.0004). Given the high connectivity among L4 barrel neurons (p(connection) ~ 0.3; (4)), this dramatic reduction in synaptic input confirms that our manipulation silenced virtually all neurons in a barrel. Replacing the whole-cell pipette with an LFP pipette yielded similar results (Fig. S2A–C), further demonstrating that lidocaine inactivated a diameter exceeding 300 μm, more than the size of a barrel (~200–300 μm wide). Additionally, L4 inactivation reduced L2/3 synaptic inputs and prevented L2/3 spiking (Fig. S2D–F).
We then recorded synaptic inputs from morphologically identified neurons in L5/6 while inactivating the overlying L4 barrel (Fig. 3E). L5/6 pyramidal neurons deeper than 1350 μm from the pia were targeted to avoid direct drug effects on recorded cells and to sample the region of highest thalamocortical connectivity (Fig. 2J). Despite reducing the amplitude of the sensory-evoked LFP in L4 (n = 12; from 0.69 ± 0.09 to 0.21 ± 0.03 mV, p = 0.0001), lidocaine had virtually no effect on the sensory-evoked synaptic inputs of L5/6 neurons (Fig. 3F–G), in terms of amplitude (from 7.53 ± 0.98 to 7.58 ± 0.75 mV, p = 0.93; Fig. 3H) or onset latency (Fig. S3A, B). Mean and variance of spontaneous membrane potential fluctuations were similarly unaffected (Fig. S3B).
Even after L4 inactivation, sensory stimuli continued to evoke L5/6 action potentials (Fig. 3I, J; 0.16 ± 0.07 versus 0.12 ± 0.04 spikes/stimulus, p = 0.64). While L5/6 spiking was unaffected on average, some individual neurons appeared to increase/decrease their firing rates (Fig. 3J). To test whether this was simply due to spiking variability, L5/6 spiking during “test” and subsequent “re-test” periods were compared. Individual L5/6 cells exhibited a range of firing rate differences between the test and re-test periods similar to the pre- and post-lidocaine periods (Fig. S3C).
How can thalamus effectively elicit L5 spikes given that L5 receives less thalamocortical convergence and exhibits smaller PSPs than L4? The mean spontaneous membrane potential of each L5 neuron was significantly closer to its spike threshold, compared to neurons in L4 and L6 (Fig. 3K), and distance to threshold correlated with responsiveness (Fig. S3E). Therefore, the relative depolarization of L5 cells here enables less synaptic input than available to L4 to become suprathreshold in 53% of cells (Fig. S3F, G). In contrast the smaller sensory-evoked PSPs and relative hyperpolarization of L6 (Fig. 2G, 3K) render 81% of its cells silent (Fig. S3F, G), consistent with L6 corticothalamic cells being unresponsive to sensory stimulation (see 6).
Muscimol injection to inactivate VPM neurons but spare fibers of passage substantially reduced PSPs of aligned L5/6 neurons (Fig. S4A, B). Residual PSP did not derive from neighboring cortical columns (Fig. S4C, D). A likely source is the secondary thalamic area, the posterior medial (POm) nucleus which arborizes in L1 and L5A, consistent with some L5 cells receiving mixed VPM and POm input (17). We tested whether long-range inputs, including axons from POm, S2, M1, and the callosum, contribute to L5 sensory responses via synapses onto apical tufts in L1. Pial application of lidocaine blocks L1 synapses, indicated by its ability to silence L2 (Fig. S5A–C). L5 PSPs were unaffected by combined L1/L4 inactivation (Fig. S5D, E). If ascending pathways such as those from POm contribute to deep layer sensory responses, it is likely via axon collaterals in L5/6 rather than in L1.
Our study demonstrates that primary thalamic nuclei, like VPM, can simultaneously copy the same signals to L4 and L5B, where they are processed in parallel (Fig. 4B) instead of serially through L4 (Fig. 4A). The TC→L4→L2/3 pathway and the TC→L5/6 pathway appear independent with regard to ascending sensory signals. TC axons innervate both middle and deep layers in multiple species (human, monkey, rat, and cat) and neocortical systems (motor, visual, auditory, and somatosensory) (18–22). Tuning of extracellular units in infragranular layers of cat visual and rodent somatosensory cortex often persists following lesion of L2/3 (23, 24), and some such units respond as early as middle layers (25, 26). Direct thalamocortical engagement of infragranular neurons may therefore be a general feature of neocortex.
Neocortical columns may contain two separate processing systems or “strata”: an upper stratum (L4 and L2/3) and a lower stratum (L5/6) possibly subserving different functions. This architecture may elaborate receptive fields via intralaminar cross-columnar rather than interlaminar connections. Moreover, L2/3 targets other neocortical regions whereas L5/6 targets both cortical and subcortical structures. While some subcortical projections provide feedback (i.e., to brainstem and primary thalamic nuclei), many of the subcortical targets, especially those of L5, are action-related (striatum and spinal cord) or high-order (secondary thalamic nuclei, which innervate high-order cortical regions). Both strata therefore have direct access to the same sensory information and can alter behavior via different anatomical pathways. Consistent with the idea of two distinct systems, fate mapping studies recently demonstrated that the upper and lower strata develop from two distinct populations of radial glial cells (27).
Our results further demonstrate that propagation of excitation cannot be inferred solely from synaptic strength or axonal sparsity/density. L2/3’s extremely low firing rates (13, 28–30) may explain its minimal contribution to sensory signals in deep layers, which by contrast are highly active. The activity and interactions of the layers may be behaviorally gated by comparisons of motor, state, and sensory signals (6, 31, 32) or by induction of learning.
Supplementary Material
Acknowledgments
We thank Larry Abbott, Richard Axel, Attila Losonczy and Ken Miller for manuscript comments, Drew Baughman for technical support, and Marissa Ilardi for morphological reconstruction. Support: NINDS NS069679, Rita Allen Foundation, Klingenstein Fund, and NSF Student Fellowship.
REFERENCES AND NOTES
- 1.Gilbert CD, Wiesel TN. Nature. 1979;280:120. doi: 10.1038/280120a0. [DOI] [PubMed] [Google Scholar]
- 2.Douglas RJ, Martin KA. Annu Rev Neurosci. 2004;27:419. doi: 10.1146/annurev.neuro.27.070203.144152. [DOI] [PubMed] [Google Scholar]
- 3.Callaway EM. Neural Netw. 2004;17:625. doi: 10.1016/j.neunet.2004.04.004. [DOI] [PubMed] [Google Scholar]
- 4.Feldmeyer D. Front Neuroanat. 2012;6:24. doi: 10.3389/fnana.2012.00024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Oberlaender M, et al. Proc Natl Acad Sci U S A. 2011;108:4188. doi: 10.1073/pnas.1100647108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Lee S, Carvell GE, Simons DJ. Nat Neurosci. 2008;11:1430. doi: 10.1038/nn.2227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Wimmer VC, Bruno RM, de Kock CP, Kuner T, Sakmann B. Cereb Cortex. 2010;20:2265. doi: 10.1093/cercor/bhq068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Oberlaender M, Ramirez A, Bruno RM. Neuron. 2012;74:648. doi: 10.1016/j.neuron.2012.03.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Agmon A, Connors BW. J Neurosci. 1992;12:319. doi: 10.1523/JNEUROSCI.12-01-00319.1992. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Beierlein M, Connors BW. J Neurophysiol. 2002;88:1924. doi: 10.1152/jn.2002.88.4.1924. [DOI] [PubMed] [Google Scholar]
- 11.Viaene AN, Petrof I, Sherman SM. J Neurosci. 2011;31:12738. doi: 10.1523/JNEUROSCI.1565-11.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Guillery RW, Sherman SM. Neuron. 2002;33:163. doi: 10.1016/s0896-6273(01)00582-7. [DOI] [PubMed] [Google Scholar]
- 13.Constantinople CM, Bruno RM. Neuron. 2011;69:1061. doi: 10.1016/j.neuron.2011.02.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bruno RM, Sakmann B. Science. 2006;312:1622. doi: 10.1126/science.1124593. [DOI] [PubMed] [Google Scholar]
- 15.Chagnac-Amitai Y, Luhmann HJ, Prince DA. J Comp Neurol. 1990;296:598. doi: 10.1002/cne.902960407. [DOI] [PubMed] [Google Scholar]
- 16.Hattox AM, Nelson SB. J Neurophysiol. 2007;98:3330. doi: 10.1152/jn.00397.2007. [DOI] [PubMed] [Google Scholar]
- 17.Bureau I, von Saint Paul F, Svoboda K. PLoS Biol. 2006;4:e382. doi: 10.1371/journal.pbio.0040382. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Ferster D, LeVay S. J Comp Neurol. 1978;182:923. doi: 10.1002/cne.901820510. [DOI] [PubMed] [Google Scholar]
- 19.Blasdel GG, Lund JS. J Neurosci. 1983;3:1389. doi: 10.1523/JNEUROSCI.03-07-01389.1983. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Herkenham M. Science. 1980;207:532. doi: 10.1126/science.7352263. [DOI] [PubMed] [Google Scholar]
- 21.Huang CL, Winer JA. J Comp Neurol. 2000;427:302. doi: 10.1002/1096-9861(20001113)427:2<302::aid-cne10>3.0.co;2-j. [DOI] [PubMed] [Google Scholar]
- 22.Garcia-Marin V, Ahmed TH, Afzal YC, Hawken MJ. J Comp Neurol. 2013;521:130. doi: 10.1002/cne.23165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Schwark HD, Malpeli JG, Weyand TG, Lee C. J Neurophysiol. 1986;56:1074. doi: 10.1152/jn.1986.56.4.1074. [DOI] [PubMed] [Google Scholar]
- 24.Huang W, Armstrong-James M, Rema V, Diamond ME, Ebner FF. J Neurophysiol. 1998;80:3261. doi: 10.1152/jn.1998.80.6.3261. [DOI] [PubMed] [Google Scholar]
- 25.de Kock CP, Bruno RM, Spors H, Sakmann B. J Physiol. 2007;581:139. doi: 10.1113/jphysiol.2006.124321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Maunsell JH, Gibson JR. J Neurophysiol. 1992;68:1332. doi: 10.1152/jn.1992.68.4.1332. [DOI] [PubMed] [Google Scholar]
- 27.Franco SJ, et al. Science. 2012;337:746. doi: 10.1126/science.1223616. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.O’Connor DH, Peron SP, Huber D, Svoboda K. Neuron. 2010;67:1048. doi: 10.1016/j.neuron.2010.08.026. [DOI] [PubMed] [Google Scholar]
- 29.Hromadka T, Deweese MR, Zador AM. PLoS biology. 2008;6:e16. doi: 10.1371/journal.pbio.0060016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.de Kock CP, Sakmann B. Proc Natl Acad Sci U S A. 2009;106:16446. doi: 10.1073/pnas.0904143106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Niell CM, Stryker MP. Neuron. 2010;65:472. doi: 10.1016/j.neuron.2010.01.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Keller GB, Bonhoeffer T, Hubener M. Neuron. 2012;74:809. doi: 10.1016/j.neuron.2012.03.040. [DOI] [PubMed] [Google Scholar]
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