Abstract
Functional receptive fields of neurons in sensory cortices undergo progressive refinement during development1-4. Such refinement may be attributed to the pruning of non-optimal excitatory inputs, reshaping of the excitatory tuning profile through modifying the strengths of individual inputs, or strengthening of cortical inhibition. These models have not been directly tested, due to the technical difficulties in assaying the spatiotemporal patterns of functional synaptic inputs during development. In this study, in vivo whole-cell voltage-clamp recordings were applied to the recipient layer 4 neurons in the rat primary auditory cortex (A1) to determine the developmental changes in the frequency-intensity tonal receptive fields (TRFs) of their excitatory and inhibitory inputs. To our surprise, co-tuned excitation and inhibition were observed right after the onset of hearing, suggesting that a tripartite thalamocortical circuit with relative strong feedforward inhibition is formed independent of auditory experience. The frequency ranges of tone-driven excitatory and inhibitory inputs first expand within a few days after the hearing onset and then persist into adulthood. The latter phase is accompanied by a sharpening of the excitatory but not inhibitory frequency tuning profile, which results in a relatively broader inhibitory tuning in adult A1 neurons. Thus, the development of cortical synaptic TRFs after hearing onset is marked by a slight breakdown of priorly formed excitation-inhibition balance. Our results suggest that functional refinement of cortical TRFs does not require a selective pruning of inputs, but may depend more on a fine adjustment of excitatory input strengths.
To account for the refinement of spike receptive fields (i.e. RFs of spiking/suprathreshold responses) in sensory cortices during postnatal development, three synaptic mechanisms can be proposed (Fig. 1a). First, selective pruning of excitatory inputs at RF peripheries reduces the total range of inputs. Second, modifying the strengths of individual inputs, e.g. weakening the inputs at RF peripheries, can effectively reduce the size of the spike RF without changing the total input range. Third, broadening of the inhibitory tuning and/or strengthening of inhibition can also effectively reduce the spike RF size. However, these models could not be directly revealed by previous anatomical, extracellular recording or cortical slice studies. It is also worth noting that although inhibition is proposed to play an important role in regulating the critical period for cortical plasticity5, how the inhibitory circuits undergo developmental changes has not been well elucidated. In this study, we intended to address these issues in the rat A1, the functional development of which is marked by a progressive refinement of the tonotopic map and sharpening of spike TRFs of neurons3,6. Synaptic TRFs in the recipient layer 4 of the adult A1 are characterized by approximately balanced excitation and inhibition as well as a stereotypic temporal delay of inhibition relative to excitation7-10, which can be attributed to a tripartite thalamocortical feedforward circuit9,11, 12.
To examine the developmental changes in synaptic TRFs, whole-cell voltage-clamp recordings were made from layer 4 neurons of rats at different ages. Brief tones of various frequencies and intensities were applied to map TRFs (see Methods). Excitatory responses were recorded at -80mV, while inhibitory responses at 0mV. As shown in Fig. 1b, these synaptic inputs could be reasonably clamped. We first examined whether there was an initial mismatch between excitatory and inhibitory TRFs in early development, as suggested by a study in the developing Xenopus retinotectal system13. At postnatal day 12-13 (P12-P13), the ear canals are just opened and auditory responses can first be detected in the A13,6. Surprisingly, at this stage right after the hearing onset, excitatory and inhibitory TRFs already appeared well matched in the frequency-intensity space (Fig. 1c). The intensity thresholds for evoking excitatory and inhibitory responses were both notably high, mostly at or above 70dB sound pressure level (SPL). Comparison of excitatory and inhibitory tuning curves (i.e. the envelope of peak response amplitudes) revealed that they did not match well at the threshold intensity (Fig. 1d, 70dB). However, at intensities above the threshold, they did match reasonably well in terms of frequency range and shape (Fig. 1d, 90dB; Supplementary Fig. 1), similar as reported in the adult A17-9.
To quantify the degree of mismatch between the excitatory and inhibitory tuning curves, we used a mismatch index (MMI; see Methods). For a group of P12-P14 neurons, MMI value was in general high for synaptic tuning curves at threshold intensity (Fig. 1e). This, however, should not be simply interpreted as poorly matched excitatory and inhibitory tunings, but rather can be attributed to the unreliability of synaptic responses at the threshold and the limited number of sampling trials. In fact, similarly high MMI values at threshold intensity were also observed for adult neurons (Fig. 1e). This argues for the necessity of examining excitation-inhibition balance at intensity levels above threshold. Indeed, at higher intensities, P12-P13 neurons exhibited low MMI values comparable to adult neurons (Fig. 1e), indicating that the excitation-inhibition balance as observed in the adult A1 is already established at stages right after the hearing onset. Given that the intensity threshold for auditory nerve-brainstem evoked response (ABR) at P12-P13 is similarly high as the cortical response (70 -100 dB)14,15, the cortex and subcortical nuclei may not be effectively driven under usual auditory environment at stages around the hearing onset. Therefore the establishment of excitation-inhibition balance is likely independent of auditory experience, reminiscent of the formation of ocular dominance columns and orientation maps in the developing visual cortex which is visual experience-independent16,17. These observations also support the previous hypothesis that at or even before the hearing onset, the hard wiring is already present between auditory nuclei in the ascending pathway18.
We next examined older stages. Compared to P12-P13, the intensity threshold for synaptic responses at P16 drastically reduced and the frequency-intensity area for synaptic responses markedly expanded (Fig. 2a). The intensity threshold did not appear to further decrease after P16 (Fig. 2b-c). For all the neurons, excitatory and inhibitory synaptic TRFs appeared largely matched (Fig. 2a-c). Comparing the synaptic tuning curves at the same relative intensity level (Fig. 2d), we did not observe appreciable developmental changes in the total frequency responding range of synaptic inputs (TFRR; see Methods). However, the shape of the excitatory tuning curve in relation to that the inhibitory tuning curve appeared quite different between P16 and P80. At P16, the excitatory and inhibitory tuning curves both exhibited a broad peak, and they matched exquisitely. At P80, the peak of the excitatory tuning curve appeared much sharpened, while that of the inhibitory tuning curve remained broad (Fig. 2d, Supplementary Fig.1). Thus, the excitatory and inhibitory tuning curves at P80 appeared less matched. This observation of a slight mismatch between excitatory and inhibitory tunings is consistent with our previous report10, which shows that a relatively broader inhibitory tuning can generate an equivalent lateral inhibitory sharpening effect.
To summarize the developmental changes in synaptic TRFs, neurons were grouped into four developmental stages: stage 1 (ST1), from P12 to P14; ST2, from P15 to P18; ST3, from P19 to P25; and ST4, P80 and older. There was a rapid decrease in intensity threshold from ST1 to ST2 for both excitatory and inhibitory TRFs (Fig. 3a). The intensity threshold of the inhibitory TRF was mostly the same as that of the excitatory TRF. Only in a small fraction of neurons, it was slightly (≤10 dB) higher. In parallel, the intensity threshold of spike TRFs, as examined by cell-attached recordings (see Methods), became lowered with development (Fig. 3a), which is consistent with previous results3,6. This change in intensity threshold is likely attributed to the functional maturation of the periphery, since the intensity threshold for ABR decreases from 70-100 dB at P12-13 to 30-50 DB at P16 (ref 14,15). The ranges of excitatory and inhibitory inputs became enlarged from ST1 to ST2, as shown by the TFRRs at 10 dB above threshold (Fig. 3b). The TFRRs did not further change after ST2 (Fig. 3b). The bandwidth of the excitatory tuning curve at the level of 50% of the peak (BW50%) initially increased from ST1 to ST2 (Fig. 3c), consistent with the change in TFRR. However, after ST2, it significantly decreased, indicating that the shape of the excitatory tuning curve is sharpened without reducing the total range of inputs. In contrast, BW50% of the inhibitory tuning curve remained stable after ST2 (Fig. 3c), indicating that the inhibitory tuning does not undergo a significant developmental sharpening. The differential development of excitatory and inhibitory tunings leads to a slight breakdown of the priorly formed excitation-inhibition balance, as indicated by a significantly higher MMI at ST4 than at ST2 (Fig. 3d). At more mature stages, the relatively broader inhibitory tuning was observed for neurons exhibiting various characteristic frequencies (CF) (Supplementary Fig. 2). It is worth noting that despite the slight mismatch, excitation and inhibition are by and large in balance, as indicated by the strong correlation between their amplitudes (Supplementary Fig. 3).
We noted that in another study, Dorrn et al. found that the developmental establishment of balanced excitation and inhibition in the auditory cortex was a protracted process, with a relatively low level of co-tuning shortly after the hearing onset. This apparently opposite observation may be attributed to several differences in their experimental designs. First, while our study focused on the thalamocortical circuit in layer 4, their recorded neurons spanned layer 3 to 6 and exhibited surprisingly broad frequency ranges of synaptic inputs cross all stages, apparently exceeding their 0.5-32 kHz testing range. Second, they chose a fixed intensity (70 dB) for examining the co-tuning of excitation and inhibition. The synaptic tuning/co-tuning may vary with the intensity level relative to the threshold of synaptic TRFs, which decreases during development. Nevertheless, both studies demonstrated that shortly after the hearing onset, excitation and inhibition with similar amplitudes and temporal relationship as in adults have already engaged in auditory-evoked responses.
We did not observe significant developmental changes in the ratio between the peak amplitudes of inhibition and excitation (I/E ratio) evoked by tones of preferred frequency, or in their absolute amplitudes (Fig. 3e). The onset latencies of excitatory and inhibitory responses become shorter with age, whereas the relative delay of inhibition to the onset of excitation (about 2ms) remains more or less constant across different stages (Fig. 3f), further suggesting that the tripartite thalamocortical feedforward circuit is already formed at the onset of hearing.
The above data suggest that instead of a selective pruning of inputs at RF peripheries, adjusting the strengths and tuning pattern of excitatory inputs may be a major mechanism for the functional refinement of cortical TRFs. To further understand the impacts of the observed synaptic changes on spike receptive fields, we derived spike TRFs of the recorded neurons by integrating the experimentally determined excitatory and inhibitory synaptic conductances in an integrate-and-fire model (see Methods). To estimate the accuracy of our method of deriving spike TRFs, we carried out sequential cell-attached recording and whole-cell voltage-clamp recording to obtain the bona fide spike TRF and synaptic conductances from the same cell. As shown in one example (Fig. 4a), the spike TRF derived from the synaptic conductances was largely consistent with the recorded spike TRF. For five experiments, the percentage deviation of the bandwidth of the derived spike TRF at 10dB above threshold from that of the recorded spike TRF was 3.7% ± 10.0% (mean ± s.d.), suggesting that in these recorded cells the integration of synaptic inputs based on their spectrotemporal interactions could provide a reasonable estimation of the spike output. The summary of bandwidths of the derived spike TRFs shows that spike TRFs are first broadened from ST1 to ST2, and then refined afterwards (Fig. 4b). Furthermore, spike TRFs as examined by cell-attached recordings displayed the same developmental trend (Fig. 4b). These results are consistent with the previous extracellular recording studies3,6,19, indicating that the observed changes in the patterns of excitatory and inhibitory inputs can largely explain the developmental refinement of spike TRFs.
The developmental changes in the frequency responding ranges and tuning profiles suggest two phases of auditory cortical development: an initial expansion of the synaptic TRFs, and a later modification of the synaptic tuning profiles. The refinement of auditory spike TRFs is mainly contributed by two factors (Fig. 4c). First, instead of the generally proposed reduction of the input range, modulation of the strengths of existing excitatory inputs leads to a sharpening of the excitatory tuning profile. Second, the relatively stable inhibitory tuning compared to the excitatory tuning results in a slight breakdown of the prior excitation-inhibition balance, allowing a lateral inhibitory sharpening effect on the spike TRF at more mature stages10. Thus, the modulation of excitatory connections primarily guides the functional development of the auditory cortex, resulting in sharply tuned frequency selectivity and a more distinctive frequency gradient in the tonotopic map.
Methods summary
All experimental procedures used in this study were approved under USC/IACUC. Sprague-Dawley rats from P12 to 3 months old were anaesthetized with ketamine/xylazine. Extracellular multiunit recordings were used to locate the rat A17,9,10. In vivo whole-cell voltage-clamp recordings were applied as previously described7-10, 20-23. Excitatory and inhibitory synaptic currents were separated by clamping the cell's membrane potential at -80 mV and 0 mV respectively. The pipette (4-7 MΩ) contained intracellular solution (in mM): 125 Cs-gluconate, 5 TEA-Cl, 2 CsCl, 1 EGTA, 10 HEPES, 4 MgATP, 0.3 GTP, 10 phosphocreatine, 1.5 QX-314, pH 7.2. Cell-attached loose-patch recordings9,10,23-25 (with pipette containing ACSF) were used to detect spike responses of the recorded neuron. The study focused on excitatory pyramidal neurons in the recipient layer 4 (Ref, 26,27). Pure tones (0.5–64 kHz at 0.1 octave intervals, 25-ms duration, 3ms ramp, a total of 568 testing stimuli) at eight sound intensities (from 0-70 dB SPL except for P12-P14 rats for which 20-90dB were applied) were delivered through a calibrated free-field speaker. Frequency-intensity receptive fields (TRFs) of tone-evoked synaptic and spike responses were reconstructed, and frequency tuning curves of excitatory and inhibitory responses were derived for each testing intensity. As previously described, we computed the excitatory and inhibitory conductances7-10,22,23,25,28,29, as well as the derived membrane potential response8,22,23,25,30 for the recorded neurons.
Supplementary Material
Acknowledgments
This work was supported by grants to L.I.Z. from the US National Institutes of Health/National Institute on Deafness and Other Communication Disorders (R01DC008983, R21DC008588), the Searle Scholar Program, the Klingenstein Foundation, and the David and Lucile Packard Foundation (Packard Fellowships for Science and Engineering). H.W.T. is supported by the US National Institutes of Health (EY018718 and EY019049) and The Karl Kirchgessner Foundation. Z.X. is supported by National Natural Science Foundation of China (Grant Nos. 30730039, 30970982, and 30670665).
Footnotes
Author Contributionons: Y.J.S., G.K.W., P.L. and M.Z. performed the experiments. Y.J.S., B.-h.L. and Z.X. carried out the data analysis. H.W.T. and L.I.Z. designed the experiments and analysis, and wrote the manuscript.
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