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[Preprint]. 2024 Jul 18:2024.07.16.603741. [Version 1] doi: 10.1101/2024.07.16.603741

Primary auditory thalamus relays directly to cortical layer 1 interneurons

Lucas G Vattino 1,2, Cathryn P MacGregor 1,4, Christine Junhui Liu 1,2,3,4, Carolyn G Sweeney 1,2, Anne E Takesian 1,2,5
PMCID: PMC11275971  PMID: 39071266

Abstract

Inhibitory interneurons within cortical layer 1 (L1-INs) integrate inputs from diverse brain regions to modulate sensory processing and plasticity, but the sensory inputs that recruit these interneurons have not been identified. Here we used monosynaptic retrograde tracing and whole-cell electrophysiology to characterize the thalamic inputs onto two major subpopulations of L1-INs in the mouse auditory cortex. We find that the vast majority of auditory thalamic inputs to these L1-INs unexpectedly arise from the ventral subdivision of the medial geniculate body (MGBv), the tonotopically-organized primary auditory thalamus. Moreover, these interneurons receive robust functional monosynaptic MGBv inputs that are comparable to those recorded in the L4 excitatory pyramidal neurons. Our findings identify a direct pathway from the primary auditory thalamus to the L1-INs, suggesting that these interneurons are uniquely positioned to integrate thalamic inputs conveying precise sensory information with top-down inputs carrying information about brain states and learned associations.

Keywords: cortical layer 1, auditory cortex, VIP, NDNF, medial geniculate body, GABAergic inhibitory interneurons, primary thalamus

Introduction

Our perception of the external world is powerfully influenced by internal states and learned associations. Given that our acoustic environment is generally a chaos of sounds, accurate perception requires that the auditory circuits dynamically allocate resources to process only meaningful information. For this, the auditory system relies on the convergence of sound information with signals that convey contextual information such as vigilance, locomotion, and the acquisition of rewards13. In the auditory cortex (ACx), sound processing relies on the coordinated activity of excitatory and inhibitory neurons to represent the spectro-temporal structure of sounds from signals arriving from the auditory thalamus, the medial geniculate body (MGB)46. These ascending inputs are integrated with an elaborate network of top-down and neuromodulatory projections that filter and modify the auditory signals, acutely influencing sound perception and sound-driven behaviors718. Moreover, the convergence of these top-down and neuromodulatory inputs with sensory signals can induce long-lasting changes in ACx that may underlie auditory learning7,1930. However, where these diverse inputs converge within the complex ACx circuits is not well understood.

Across sensory cortices, the outermost cortical layer (layer 1, L1) is densely populated by axons arising from neuromodulatory centers9,21,24,3135, other sensory, motor, and associative cortices3644, as well as limbic regions4446. L1 in sensory cortices is also characterized by a dense lattice of axons arising from higher-order thalamic nuclei4754. Within the primary auditory cortex (A1), axons from the higher-order auditory thalamus, the medial (MGBm) and dorsal (MGBd) divisions of the MGB, predominantly target L151,52. These higher-order thalamic neurons receive inputs from auditory midbrain, thalamic and cortical areas, as well as from neuromodulatory and integrative centers throughout the brain, and are thought to convey multimodal sensory and non-sensory information to the ACx47,55,56. There are also a number of intriguing reports across sensory systems that axons originating in the primary thalamic nuclei, thought to primarily target cortical L4, also extend to L124,44,46,49,51,5759. These nuclei relay fast sensory signals that are tuned to specific features of auditory, visual, and somatosensory stimuli. For example, the primary auditory thalamus, the ventral subdivision of the MGB (MGBv), receives ascending inputs from the central nucleus of the inferior colliculus and relays fast, frequency-tuned sound information to A15,56,60. MGBv axons are known to densely innervate L3b and L4 but have been recently shown to extend to L124,51,57,59. Moreover, the thin band of MGBv axons within L1 in ACx is frequency-tuned and may form a coarse topographic map of sound frequency representation that mirrors the tonotopic map in L424,51. Therefore, across sensory modalities, L1 is a site where diverse multimodal, neuromodulatory, top-down and sensory inputs may be integrated34,61,62, but the cellular targets of these inputs have not been fully identified.

L1 is populated by sparse GABAergic inhibitory INs that can be subdivided into two major subtypes based on the expression of the molecular markers vasoactive intestinal peptide (VIP) and neuron-derived neurotrophic factor (NDNF)63. Interest in these L1-INs has recently intensified as several studies have revealed that they powerfully modulate cortical activity and underlie context-dependent behavior and learning8,21,39,44,47,6467. VIP- and NDNF-INs robustly express neuromodulatory receptors6871 and receive inputs from neuromodulatory regions, such as the cholinergic basal forebrain39,44,72. In the ACx, L1-INs also receive inputs from other sensory cortices, as well as top-down inputs from cortical association areas such as the prefrontal, retrosplenial and insular cortices, among others39. Therefore, L1-INs have been recently highlighted as mediators of top-down inputs that broadcast information about global brain states and contextual cues across cortex34,73. However, an alternative model of these L1-INs is that they are activated by specific sensory inputs inherited by the axons from the primary thalamic nuclei that arborize in L124,34,51. This circuit organization would place L1-INs in a unique position to integrate neuromodulatory and top-down inputs with inputs relaying feature-specific sensory information34,62. This model is consistent with the recent evidence that L1-INs send spatially precise projections to their cortical targets24,39,74,75, punching ‘holes’ in local inhibitory networks to modulate the gain of cortical columns44,67. For example, small subsets of L1-INs in ACx within cortical frequency columns may be recruited by specific sounds signaled by the axons from the primary MGBv. In turn, these L1-INs may activate cortical columns to tune the cortical neurons below21,24,39,44,75, via both narrowly descending projections that target other INs and horizontal projections to pyramidal neuron dendrites24,63,75. Thus, identifying the sources of thalamic input to L1-IN subtypes will provide important insight into their function within the cortical network.

Here, we mapped the connectivity between the auditory thalamus and the two major L1-IN subtypes and characterized the electrophysiological properties of the thalamocortical synapses onto these INs. Unexpectedly, we found that L1-INs subtypes receive the vast majority of their auditory thalamic inputs from the primary MGBv. Moreover, we found that the MGBv neurons form strong monosynaptic connections with L1 VIP- and NDNF-INs in A1, comparable in strength, kinetics, and short-term plasticity to the thalamocortical synapses onto L4 excitatory pyramidal (L4 Pyr) neurons. Together, our results identify a direct relay pathway between the MGBv and L1 VIP- and NDNF-INs in ACx, suggesting that these interneurons process information about the spectro-temporal features of sounds inherited from this primary auditory thalamus. These findings point to L1-INs as sites within the complex cortical circuitry where precise auditory information and neuromodulatory signals converge to modulate deeper-layer ACx neurons in a sound-specific manner. Together, these results contribute to our understanding of the specific inputs that recruit L1-INs, providing new insight into the auditory cortical circuits that mediate context-dependent sensory processing and learning.

Results

VIP- and NDNF-INs in superficial ACx receive the majority of thalamic inputs from the MGBv

The auditory thalamus is composed of several distinct subnuclei that receive inputs from diverse brain regions56 and relay both sensory and non-sensory information to the ACx. To investigate the connectivity between these thalamic subnuclei and VIP- and NDNF-INs in superficial ACx, we used rabies virus-based monosynaptic retrograde tracing76 (Figure 1A). We restricted rabies virus infection to VIP- and NDNF-INs by injecting a Cre-dependent adeno-associated viral vector (AAV) encoding the avian EnvA receptor, TVA, fused to mCherry into superficial ACx of adult Vip-IRES-Cre or Ndnf-IRES-Cre mice. We also co-injected a Cre-dependent AAV encoding the rabies virus glycoprotein (RVG) to allow for retrograde transfer of RVG-deleted rabies virus. To restrict our starter cell population to the superficial cortical layers, we injected these viruses just below the pial surface. Two weeks later, the mice were injected in the same site with EnvA-pseudotyped RVG-deleted rabies virus encoding nuclear-localized EGFP (RV-nEGFP). Coronal brain sections were collected one week following the RV-nEGFP injection, and the 3-D brain volume containing all the infected starter cells and the auditory thalamus was imaged and reconstructed. We used semi-automatic cell counting to quantify the number and distribution of infected starter cells within ACx and putative presynaptic neurons within auditory thalamic regions.

Figure 1. VIP- and NDNF-INs in ACx receive monosynaptic inputs from diverse auditory thalamic subnuclei.

Figure 1.

(A) Schematic of the experimental procedure to identify presynaptic neurons in thalamus that synapse onto VIP- and NDNF-INs. Mice were injected in the left ACx with Cre-dependent viruses expressing the avian EnvA receptor (TVA-mCherry) and the rabies virus glycoprotein (RVG). Two weeks later, a constitutive RVG-deleted, EnvA-pseudotyped rabies virus expressing nuclear-targeted EGFP (RV-nEGFP) was injected into the same sites. The TVA allows for RV-nEGFP to infect starter cells, and the RVG enables retrograde monosynaptic infection of presynaptic partners. Following one week, brain sections (50 μm) were collected, incubated with DAPI and anti-calretinin to delineate the higher-order auditory thalamic regions. Sections were then imaged and aligned to a common coordinate framework atlas for posterior starter and presynaptic cell counting. Scale bar: 2 mm.

(B) Example confocal images of starter cells (arrows) in ACx of Vip-IRES-Cre and Ndnf-IRES-Cre mice. Starter cells are identified by the co-expression of TVA-mCherry and RV-nEGFP. Scale bar: 50 μm. Inset: Detail of the starter cells indicated with blue arrows. Scale bar: 10 μm.

(C) Distribution of starter cells across cortical depth. Numbers of total starter cells in auditory cortical areas (A1, AuD, AuV and TeA) are indicated for each genotype.

(D) Example epifluorescent images of presynaptic RV-nEGFP+ cells at two different anterior-posterior (AP) coordinates encompassing the auditory thalamic regions. Calretinin immunostaining delineates the higher-order auditory thalamic areas, whereas the region showing no calretinin staining corresponds to the primary MGBv.

(E) Distribution of the density of RV-nEGFP+ presynaptic cells within auditory thalamic regions. Each data point represents an individual mouse.

A1: primary ACx; AuD: auditory dorsal area; AuV: auditory ventral area; TeA: temporal association cortex; MGBv: ventral division of the medial geniculate body; MGBm: medial division of the medial geniculate body; MGBd: dorsal division of the medial geniculate body; MZMG: marginal zone of the medial geniculate body; PIN: posterior intralaminar nucleus; PP: peripeduncular nucleus.

Starter cells were identified by the co-expression of RV-nEGFP and TVA-mCherry (Figure 1B and Supplementary Figure 1 - controls for the specificity of TVA-mCherry to Cre-expressing neurons are included in Supplementary Figure 2AC). The majority of NDNF-IN starter cells were located close to the pial surface whereas the majority of VIP-IN starter cells were located along the L1/L2 border (Figure 1B,C and Supplementary Figure 1), consistent with the distribution of these cortical INs shown in previous studies63,77. The majority of infected starter cells were located in A1, but we found some starter cells in abutting regions (Supplementary Figure 1). Putative presynaptic neurons were identified by the expression of only RV-nEGFP (Figure 1D - controls showing the requirement of RVG for monosynaptic transfer of RV-nEGFP are included in Supplementary Figure 2DH). To delineate the MGB subdivisions, we aligned the brain sections to a unified common coordinate framework atlas (YSK atlas)78 in combination with immunostaining against calretinin, a marker for higher-order auditory thalamic regions51,52,79 (Figure 1D).

Consistent with previous anatomical studies mapping thalamic inputs to the ACx, we found a robust source of presynaptic neurons in the ipsilateral MGB80. We found a scattering of presynaptic neurons to VIP- and NDNF-INs located in the higher-order auditory thalamus, in line with anatomical studies showing strong innervation of superficial ACx by these nuclei47,51,52,59 (Figure 1D,E). Strikingly, however, the largest fraction of presynaptic neurons within auditory thalamus to both superficial IN subtypes was located within the primary subdivision of the MGB, the MGBv (Figure 1D,E). We found just modest differences between VIP- and NDNF-INs in the distribution of presynaptic neurons across the distinct auditory thalamic subregions, with a slightly higher fraction of higher-order thalamic inputs to NDNF-INs (Supplementary Table 1). However, these results could be due to small differences in the distribution of starter cells across auditory cortical areas (Supplementary Figure 1). Together, our findings suggest that both VIP- and NDNF-INs within superficial ACx receive monosynaptic connections from neurons arising from several distinct subdivisions of the auditory thalamus; however, the vast majority of presynaptic neurons are concentrated in the primary MGBv.

MGBv neurons form functional monosynaptic connections with L1 VIP- and NDNF-INs in ACx

To confirm that the MGBv neurons form direct, functional synapses onto the L1-INs in ACx, we performed whole-cell voltage clamp recordings from L1 VIP-INs, L1 NDNF-INs and L4 pyramidal excitatory (L4 Pyr) neurons in the same slices while optogenetically activating MGBv afferents. We labeled these L1-INs by injecting AAVs encoding Cre-dependent TdTomato and Flp-dependent mNeonGreen within the ACx of adult Vip-IRES-Cre x Ndnf-IRES-FlpO mice. In the same procedure, we injected an AAV encoding ChR2 fused to mCherry within the MGBv of these mice (Figure 2A, left). We observed strong bands of mCherry-labeled MGBv axon terminations within L4 and L1 of ACx (Figure 2A, right), as shown previously24,51,81. To characterize the thalamocortical synapses onto the L1-IN subtypes, we obtained optogenetically-evoked excitatory postsynaptic currents (EPSCs) from L1 VIP-INs, L1 NDNF-INs, and L4 L4 Pyr neurons in A1 by recording at a holding potential (Vhold) of −70 mV. Cells were filled with biocytin for post-hoc anatomical reconstructions (Figure 2B,C). We found robust light-evoked EPSCs in all three cell types that we confirmed to be monosynaptic by blockade with the voltage-gated Na+ channel blocker TTX (1 μM) and rescue with the voltage-gated K+ channel blocker 4-AP (1 mM)82,83 (Figure 2D). In the presence of TTX and 4-AP, all three cell types exhibited short EPSC onset latencies, consistent with optogenetically-activated monosynaptic responses (Figure 2E and Supplementary Table 2). We further confirmed that these monosynaptic responses were mediated by glutamate receptors by the elimination of EPSCs with the AMPA receptor blocker DNQX (20 μM) and the NMDA receptor blocker AP5 (50 μM) (Figure 2D). Surprisingly, we found no differences in monosynaptic EPSC amplitudes among L1 VIP-INs, L1 NDNF-INs, and L4 Pyr neurons (Figure 2E and Supplementary Table 2). The response magnitude depends on the number of stimulated axons, which may vary across slices with differences in ChR2 viral expression. To control for these potential differences, monosynaptic EPSCs in L1-INs were normalized to those recorded in L4 Pyr within the same slice. We found no significant differences in the normalized amplitudes across the three cell types (Figure 2E and Supplementary Table 2). Together, our results indicate that both L1 VIP- and NDNF-INs in ACx receive functional monosynaptic inputs from the MGBv, and that the amplitudes of these EPSCs in L1-INs are comparable to those recorded in L4 Pyr neurons.

Figure 2. VIP- and NDNF-INs in layer 1 of ACx receive functional monosynaptic inputs from the ventral portion of the MGB (MGBv).

Figure 2.

(A) Left. Schematic of the experimental procedure to obtain ChR2-mediated monosynaptic currents in layer 1 (L1) VIP-INs (green), L1 NDNF-INs (magenta) and layer 4 pyramidal excitatory (L4 Pyr; gray) neurons within thalamocortical slices. Right. Confocal image of a representative thalamocortical slice showing mCherry-ChR2 expression in the ventral division of the medial geniculate body (MGBv) and thalamocortical axons within layers L1 and L4 of primary auditory cortex (A1). Scale bar: 500 μm.

(B) Reconstruction of recorded L4 Pyr, L1 VIP- and L1 NDNF-INs (). Scale bar: 100 μm.

(C) Schematic of the recording conditions to obtain light-evoked EPSCs from L4 Pyr, L1 VIP- and L1 NDNF-INs by activating ChR2-expressing MGBv axons. Recordings from at least one neuron of each type were obtained in every slice.

(D) Example voltage clamp recordings (Vhold = −70 mV; mean ± SD of 10 trials) showing the effects of sequential addition of TTX and 4-AP on light-evoked EPSCs. Currents were abolished by glutamatergic receptor blockers DNQX and AP5.

(E) Peak amplitude (left) and onset latency (middle) of monosynaptic EPSCs recorded in TTX and 4-AP from the three cell types. EPSC amplitudes normalized to the average EPSC amplitude of the L4 Pyr neurons recorded in the same slice (right). See Supplementary Table 2 for details on statistical tests. N.S., p > 0.05.

L1-INs and L4 Pyr neurons show comparable thalamic-evoked monosynaptic responses

While we relied on optogenetic experiments to detect monosynaptic connections between the MGBv and L1-INs, the use of AAV vectors, ChR2, TTX, and 4-AP can influence the synaptic response properties84,85. We therefore used electrical stimulation of thalamic axons to compare the properties of thalamocortical synapses onto L1 VIP-INs, L1 NDNF-INs and L4 Pyr neurons in A1. We cut thalamocortical slices from Vip-IRES-Cre x Ai9 or Ndnf-IRES-Cre x Ai9 mice, which express TdTomato in either VIP- or NDNF-INs. The peri-horizontal thalamocortical slice24,60,86 preserves the axons between the MGBv and cortex, allowing for the direct electrical stimulation of thalamocortical axons using a bipolar electrode (). We first studied the EPSCs (Vhold = −70 mV) evoked by electrical activation of putative single thalamic axons using minimal stimulation (Figure 3A; )87,88. We found that minimal stimulation-evoked EPSC amplitudes in L1 VIP- and NDNF-INs were comparable to those recorded in L4 Pyr neurons (Figure 3B,C and Supplementary Table 2). The onset latencies of putative single thalamic axon responses were significantly longer for the L1-INs as compared to the L4 Pyr neurons, reflecting an expected transmission delay of thalamic axons between L4 and L124,89 (Figure 3C and Supplementary Table 2). However, the three cell types showed comparable rise times, measured as the time between the onset of the response and the peak of the EPSC (Figure 3C and Supplementary Table 2). These data show that L1 VIP- and NDNF-INs in A1 show responses to activation of putative single thalamic axons that are comparable to those observed in L4 Pyr neurons.

Figure 3. Synaptic properties of thalamocortical inputs onto L4 Pyr, L1 VIP-INs and L1 NDNF-INs.

Figure 3.

(A) Schematic of the experimental procedure to record EPSCs electrically-evoked by minimal stimulation of the thalamic axons within thalamocortical slices. The stimulus intensity was adjusted to obtain a 50% failure rate. Minimal stimulation-evoked EPSCs were recorded from L1 VIP- and NDNF-INs in A1 from Vip-IRES-Cre and Ndnf-IRES-Cre mice, respectively, whereas L4 Pyr neurons were recorded in both genotypes.

(B) Example EPSCs evoked by minimal stimulation (Vhold = −70 mV) in L4 Pyr, L1 VIP-INs, and L1 NDNF-INs. Traces correspond to five successful trials (black) and five failures (gray).

(C) Quantification of amplitude (left), onset latency (middle), and rise time (right) of minimal stimulation-evoked EPSCs.

(D) Example responses to trains of electrical stimulation applied to the thalamic axons at 20 Hz (Vhold = −70 mV; mean ± SD of 5 trials). The recording procedure was the same as described in (A), except that the electrical stimulus intensity was twice the threshold.

(E,F) Amplitudes normalized to the EPSC amplitude evoked by the first electrical stimulus of the train (left) and ratio of the EPSC amplitudes in response to the last and first stimuli of the train (P10/P1, right) for each cell type during 10 Hz (E) and 20 Hz (F) repetitive stimulation.

(G) Schematic of the experimental approach to record thalamic-evoked EPSCs with suprathreshold electrical stimuli to recruit intracortical inputs. Red dotted line represents the threshold to evoke EPSCs in response to electrical stimulation of thalamic axons. The recording procedure was as described in (A), except that stimulation intensity was 5X the threshold.

(H) Example evoked EPSCs in response to suprathreshold stimulation of the thalamic axons (Vhold = −70 mV; mean ± SD of 10 trials).

(I) Quantification of peak amplitude (left), decay time constant (Τdecay, middle) and rise time (right). Stimulation artifacts were replaced by arrows for clarity in B, D and H. See Supplementary Table 2 for details on statistical tests. *p < 0.05, **p < 0.01, ***p <0.001, ****p <0.0001.

L1-INs show short-term depression of thalamic-evoked responses

Previous studies have shown that L4 Pyr neurons in ACx exhibit short-term depression in response to thalamic stimulation87,90, associated with synapses with a high initial probability of release91. This is in contrast to some IN subtypes in cortex that show facilitating thalamic inputs, suggesting low initial release probability of glutamate onto these neurons that is enhanced by repetitive stimulation92,93. Here, we analyzed the short-term plasticity of the thalamic responses in L1-INs by applying trains of electrical stimuli to the thalamocortical axons (Figure 3DF). We found short-term depression for all cell types, as revealed by the significantly smaller EPSC amplitude in response to the last pulse in the train as compared to the first EPSC, both at 10 Hz and 20 Hz (Figure 3E,F, left, and Supplementary Table 2). We found no differences in the short-term depression across cell types, quantified as the ratio between the evoked EPSC amplitudes in response to the last and first stimulation pulses (Figure 3E,F, right, and Supplementary Table 2). Therefore, both L1 VIP- and NDNF-INs in A1 show robust short-term depression of thalamic-evoked responses, comparable to the characteristic depression observed in L4 Pyr neurons.

Suprathreshold thalamic responses in L1-INs are smaller and slower than those recorded in L4 Pyr neurons

Finally, we aimed to understand how intracortical connectivity shapes the thalamic-driven responses of A1 L1-INs by using suprathreshold electrical stimulation to recruit both monosynaptic and disynaptic inputs (Figure 3G). Consistent with the strong recurrent connectivity of excitatory neurons in ACx94,95, L4 Pyr cells showed large suprathreshold EPSCs when thalamic axons were stimulated with an electrical current five times greater than the threshold stimulation intensity (Figure 3H). Both L1 VIP-INs and NDNF-INs showed significantly smaller suprathreshold EPSC amplitudes and slower EPSC decay kinetics as compared to L4 Pyr neurons (Figure 3H,I and Supplementary Table 2). Rise kinetics were similar for all three cell types under these recording conditions (Figure 3H,I and Supplementary Table 2). Together, these results highlight potential differences in the intracortical connectivity between L4 Pyr neurons and L1-INs in A1, indicating that the L1-INs are less coupled to the local cortical circuit.

Discussion

Sensory cortices integrate information about specific features of the sensory environment with contextual signals that convey information about behavioral state, aversive and rewarding outcomes, and expectations2,96. The sites and mechanisms for this integration within the complex cortical circuits are not fully understood. Across sensory cortices, recent studies have highlighted the L1-INs as hubs for inputs from diverse sensory and non-sensory brain regions that modulate the activity and plasticity of deeper-layer excitatory neurons in an experience- and state-dependent manner21,24,39,44,47,48,6466,97. However, thalamocortical synapses onto these L1-INs have not been fully characterized. In this study, we investigated the connectivity between the auditory thalamus and the two largest groups of L1-INs, VIP- and NDNF-INs63, within A1. Our results show that the majority of presynaptic thalamic neurons targeting these interneurons are located within the primary auditory thalamus, the MGBv. These L1-INs receive strong, monosynaptic connections from the MGBv with similar strength to the well-studied L4 Pyr neurons. Together, these results suggest that L1-INs receive robust inputs from neurons arising from the tonotopically-organized MGBv that convey information about the precise spectral and temporal features of sounds5,56,60.

We identify a robust pathway from the primary auditory thalamus (MGBv) directly to two major subtypes of L1-INs. These results are unexpected given that the canonical cortical model dictates that the primary sensory thalamic nuclei target the middle cortical layers (L3b and L4). Our retrograde tracing experiments show that the ipsilateral MGB forms monosynaptic connections with VIP- and NDNF-IN subpopulations in superficial ACx (Figure 1), consistent with previous reports showing thalamic inputs to inhibitory INs within the superficial layers of sensory cortices39,44,46,72,98. The MGB is composed of three major subdivisions: 1) the primary ventral division (MGBv) that contains neurons exhibiting short latency responses to sound, sharp frequency tuning and synchronized responses to amplitude modulated sounds, 2) the dorsal division (MGBd) that is composed of neurons that exhibit long-latency responses, broad, multi-peaked frequency tuning and less synchronization to amplitude modulations, and 3) the medial division that contains neurons with heterogeneous frequency tuning and modulation by non-auditory inputs6,56,99. Anatomical studies across species show that neurons arising from the MGBd generally target the superficial cortical layers59,100,101 and that large diameter axons from MGBm target L1100. Therefore, we were not surprised to find that both VIP- and NDNF-INs within superficial ACx receive inputs from the MGBd and MGBm. We also discovered a small input to these superficial INs from the multisensory PIN/PP regions in the auditory thalamus. This result is in agreement with recent studies showing higher-order thalamic inputs to NDNF-INs in auditory association areas47 and visual cortex44. The higher-order auditory thalamic regions receive multimodal inputs from diverse cortical and thalamic areas that receive somatosensory and visual information, non-sensory midbrain structures and neuromodulatory centers47,52,55. Projections from higher-order nuclei to L1 are prominent across sensory cortices, targeting both L1-INs and the apical dendrites of deeper layer excitatory neurons4751,102105, and are functionally relevant in learning and plasticity4749,53,104.

Strikingly, the vast majority of presynaptic MGB neurons targeting the superficial VIP- and NDNF-INs were located in the primary MGBv. This primary thalamic nucleus receives the majority of its inputs from the inferior colliculus in the midbrain and sends tonotopically-organized projections to ACx5,24,51,56,60. These tufted neurons all belong to one morphological class of thalamic neurons that differ from the stellate neurons that are only located within the higher-order MGB subdivisions99. It has been shown across species that these MGBv neurons predominantly target L4 of A159,86,106. More recently, however, it has been reported that MGBv neurons can also bifurcate in L4 and send collaterals towards superficial cortical layers51, also shown for first-order visual and somatosensory thalamic neurons58,107,108. This raises the possibility that the same frequency-tuned MGBv neurons may target both L4 Pyr and L1-INs within the same cortical column. However, it should be noted that in visual cortex, primary thalamic inputs may convey distinct sensory information to L1 and L434. Our results motivate future in vivo studies that examine the auditory information that is conveyed by MGBV inputs to the L1-INs.

Our functional experiments revealed robust, monosynaptic thalamocortical connections onto L1 VIP- and NDNF-INs in A1 that were comparable in strength to those recorded in the L4 Pyr excitatory neurons (Figure 2 and Figure 3). Moreover, the short-term depression of thalamic-evoked responses was similar between the L1-INs and L4 Pyr neurons, suggesting similar presynaptic release properties onto these cell types. This short-term depression of MGB-evoked responses also resembles that observed in parvalbumin (PV)-expressing INs87,92,109, which receive strong thalamic inputs across sensory cortex57,92 but differ from the somatostatin (SST)-expressing INs, which show short-term facilitation of thalamic-evoked inputs92,93,109. These results are consistent with anatomical studies showing that MGB neurons robustly innervate L1 within ACx5,24,39,47,51,57,59. Interestingly, only a subset of deeper-layer VIP-INs in ACx and primary somatosensory barrel cortex respond to stimulation of the MGBv57 or primary ventrobasal (VB) nucleus of the somatosensory thalamus105, respectively. Similarly, ~65% of 5-HT3AR-expressing neurons, which include both VIP- and NDNF-IN subpopulations63,110, within L3/4 of the primary somatosensory cortex receive weak monosynaptic inputs from the VB70. VIP- and NDNF-INs are heterogeneous populations and these IN subtypes in the superficial cortex show distinct morphological properties as compared to those in deeper layers63,75,111,112. Therefore, VIP- and NDNF-INs in the outermost layer in the ACx may differ from those residing in the deeper layers and be uniquely positioned to receive strong sensory inputs.

Although the L1-INs and L4 Pyr neurons showed similar monosynaptic inputs from the MGB, large differences emerged between these cell types as the thalamic stimulation was increased to recruit recurrent intracortical activity. The currents recorded in L1 VIP- and NDNF-INs in response to suprathreshold thalamic stimulation were significantly more prolonged than those recorded in L4 Pyr excitatory neurons. It has been reported that MGBv inputs onto L4 Pyr are located along the perisomatic domain, whereas intracortical inputs are widely distributed across the dendritic arbor106. Although information about the subcellular distribution of thalamic and intracortical inputs onto VIP- and NDNF-INs is lacking, it is possible that the convoluted dendritic arbors that characterize these L1-INs63,75,112 affect the kinetics of responses originating from intracortical synapses on distal dendrites. Alternatively, the observed differences may arise from a different composition of glutamatergic receptor subtypes, which can differ between excitatory and inhibitory neuronal classes113,114. Future work that maps the thalamocortical and intracortical inputs onto subcellular domains of L1-INs may reveal the mechanisms underlying these observed differences in thalamic-driven responses.

Suprathreshold thalamic stimulation also evoked significantly smaller responses in L1 VIP- and NDNF-INs as compared to L4 Pyr excitatory neurons. Pyr neurons in ACx receive inputs across their dendritic arbors from local excitatory neurons106 that may dominate their spiking activity115 and shape their tuning to sensory stimuli116119. Indeed, in our experiments suprathreshold thalamic stimuli evoked large EPSCs in Pyr cells, likely reflecting the excitatory inputs from L4, L2/3 and L6 Pyr neurons94,95. In contrast, L1 VIP- and NDNF-INs showed smaller EPSCs, suggesting that L1-INs are more disconnected from the local excitatory network34, although they receive inhibitory inputs from nearby interneurons39,63,111. These results highlight the function of L1-INs as integrators of unprocessed bottom-up sensory inputs with long-range top-down contextual inputs.

Due to their ability to integrate a wide range of inputs, VIP- and NDNF-INs in L1 have been described as sensors of global behavioral states and events, such as locomotion, attention, or reinforcement34,62. For this reason, most previous studies focused on inputs originating from subcortical regions like the cholinergic basal forebrain or the zona incerta8,21,71,97, multisensory thalamic regions47,48,53,54,104 and diverse sensory cortices40,58,120. However, the results presented here highlight that L1 VIP- and NDNF-INs in ACx are also vastly innervated by the primary auditory thalamus that conveys specific information about sound. Our results are consistent with previous results showing that L1-INs are activated by sensory stimuli39, and recent results from our laboratory showing that L1 VIP- and NDNF-INs exhibit tuning to simple and complex sound stimuli (personal communication, Sweeney, Thomas, Takesian). Together, these findings contribute to a growing shift in our view of these L1-INs towards ‘local circuit modulators’ rather than global broadcasters of behavioral states across cortex.

Our model of L1-INs as ‘local circuit modulators’ is consistent with recent findings that L1-INs send spatially precise axonal projections to specific cortical neuronal subtypes24,39,44. Although L1-INs produce the inhibitory neurotransmitter GABA, subsets of these interneurons have a specialized disinhibitory function in cortex— because they target other inhibitory interneurons, their activity leads to a net withdrawal of inhibition from glutamatergic neurons. NDNF-INs target PV interneurons, which reduces perisomatic inhibition onto deeper-layer Pyr neurons44,74 and VIP-INs target SST-INs, which reduces dendritic inhibition onto these Pyr neurons66,67. Both NDNF- and VIP-INs also directly inhibit the distal dendrites of Pyr neurons39,47,74,121. Disinhibiting L1-INs may directly project to the deeper layers to activate the cortical column, whereas other L1-INs project laterally to silence neighboring columns. In fact, in vitro and in vivo studies have demonstrated that these superficial interneurons increase the gain of cortical circuits44,65,66, punching ‘holes’ in the inhibitory networks below67. In the ACx, our results suggest that small groups of L1-INs within the same cortical column may be co-activated by frequency-tuned MGBv axons within the L1 tonotopic map24,51. Activation of these L1-IN ensembles may tune the sound-driven responses of the underlying thalamorecipient L4 Pyr neurons. New approaches for gain- and loss-of-function of small L1-IN ensembles may provide insight into their function in controlling the tuning and plasticity of deeper-layer excitatory neurons.

In addition to controlling moment-to-moment cortical activity, L1-INs are emerging as critical contributors to developmental and adult cortical plasticity and learning24,39,48,64. Indeed, both VIP- and NDNF-INs in ACx are activated by reinforcing stimuli, such as air puffs and footshocks, and are critical for auditory associative learning39,66. Interestingly, L1-INs may be sites of plasticity themselves39,122,123. For example, it has been shown that NDNF-INs undergo long-term changes in auditory-evoked responses following fear conditioning39. Thus, the MGBv and neuromodulatory synapses onto L1-INs may undergo heterosynaptic plasticity, causing long-term changes in how the L1-INs are recruited by sensory and non-sensory stimuli to dynamically modulate sensory-driven cortical activity. Our results open new avenues for future studies that will determine how distinct thalamic inputs to the L1-INs control their activity and plasticity during sound processing and learning.

Methods

Mice.

Vip-IRES-Cre, Vip-WT, Ndnf-IRES-Cre, Ndnf-IRES-FlpO and Ai9 mice were purchased from Jackson Laboratories. Mice were bred in house and housed under standard laboratory conditions (12:12 hr light:dark cycle, access to food and water ad libitum). Both male and female adult (P60–90) mice were used for experiments. All experiments were approved by the Institutional Animal Care and Use Committee at Massachusetts Eye and Ear.

Surgeries.

Mice were deeply anesthetized with isoflurane 5% in O2 and moved to a stereotactic surgery rig, where isoflurane levels were lowered to 1.5%−2% and maintained throughout the procedure. At the start of the surgery, Buprenex (0.01 mg/ml; dosage 0.05 ml/10 g) and Meloxicam (0.2 mg/ml; dosage 0.1 ml/10 g) were administered via subcutaneous injections. After shaving and disinfecting the head, a small incision was made in the skin to expose the skull. The skull was leveled, and burr holes were made using a dental drill (MH170, Foredom Electric Co.) at the corresponding coordinates. For auditory cortex (ACx) surgeries, the head was rotated to the right to obtain a clear visual of the left ACx. All injections were performed using glass capillaries pulled with a micropipette puller (P-97, Sutter Instrument) and using a syringe (1701RN 10 μl, 80030, Hamilton Company) with a motorized piston (UltraMicroPump UMP3, World Precision Instruments) or a motorized programmable injector (Nanoject III, 3–000-207, Drummond Scientific Co.).

For electrophysiological recordings of monosynaptic primary thalamic inputs onto layer 1 (L1) VIP and NDNF interneurons (VIP- and NDNF-INs), and layer 4 Pyr (L4 Pyr) excitatory neurons, Vip-IRES-Cre x Nndf-IRES-FlpO mice were injected within the ventral portion of the left medial geniculate body (MGBv, in mm: AP: −3.12, ML: 2, DV: −3.1) with AAV2-CAG-ChR2-mCherry (1.55×1012; 100 nl at 20 nl/min). During the same surgical procedure, these mice were simultaneously injected with AAV8–CAG-FLEX-tdTomato and AAV1-CAG-fDIO-mNeonGreen (1.7×1012 and 9×1012, respectively; 500 nl at 20 nl/min) in two separate sites within the left ACx (in mm, AP = −2.0/−2.5, ML = 4.7, DV = −0.5, raising the glass capillary 0.1 mm every 100 nl injected).

For monosynaptic rabies virus tracing experiments, Ndnf-IRES-Cre or Vip-IRES-Cre mice were injected with Cre-dependent viruses expressing the avian EnvA receptor, TVA, fused to mCherry (TVA-mCherry) and the rabies virus glycoprotein (RVG) in the left ACx (in mm, AP = −2.3, ML = 4.7, DV = −0.1/−0.2; AAV8-CAG-FLEX-TCB-mCherry, 5.06×1012; AAV8-Ef1a-DIO-oG-WPRE-hGH, 1.24 × 1013; 200 nl in total at 20 nl/min). Two weeks later, a constitutive RVG-deleted, EnvA-pseudotyped rabies virus expressing nuclear-targeted EGFP (RV-nEGFP) was injected into ACx (Sabatini lab gift). Coordinates were the same as for Cre-dependent viruses and two injections were made at anteroposterior ends of the same burr hole (3.5×108; 200 nl per site, at 20 nl/min). We validated our monosynaptic tracing strategy with control experiments. The first control confirmed that the starter neurons were restricted to Cre-expressing neurons by injecting all three viruses in WT mice (WT littermates, Ndnf-WT, or Vip-WT). We did not find any starter cells in ACx or presynaptic cells in auditory thalamic regions (Supplementary Figure 2AC), confirming the requirement of the Cre recombinase to obtain starter cells. The second control evaluated potential leak expression of RV-nEGFP by omitting the injection of the virus that allows for RVG expression in Vip/Ndnf-IRES-Cre mice. Despite robust expression of starter cells in ACx, no presynaptic RV-nEGFP+ cells were observed in the thalamus (Supplementary Figure 2DH).

In vitro whole-cell recordings.

Mice were anesthetized with isoflurane 5% in O2 and Fatal Plus administered intraperitoneally (18 mg/ml; dosage 0.1 ml/10 g). Immediately following anesthesia, mice were perfused with ice cold slicing artificial cerebrospinal fluid (ACSF) containing (in mM)124: 160 sucrose, 28 NaHCO3, 2.5 KCl, 1.25 NaH2PO4, 7.25 glucose, 20 HEPES, 3 Na-pyruvate, 3 Na-ascorbate, 7.5 MgCl2, 1 CaCl2. Following perfusion, mice were decapitated, the brain was quickly removed and thalamocortical slices (300 μm) obtained at an angle of 15° from horizontal view86 were collected in ice cold slicing ACSF on a vibrating microtome (Leica Microsystems; VT1200S). Slices were placed in a chamber for 30–35 minutes at 35° C in recovery ACSF, containing (in mM)124: 92 NaCl, 28.5 NaHCO3, 2.5 KCl, 1.2 NaH2PO4, 25 glucose, 20 HEPES, 3 Na-pyruvate, 5 Na-ascorbate, 4 MgCl2, 2 CaCl2. After recovery, slices were transferred to a chamber with recording ACSF, containing (in mM): 125 NaCl, 2.5 KCl, 1.25 NaH2PO4, 25 NaHCO3, 25 glucose, 1 MgCl2, 2 CaCl224 and maintained for at least one hour at room temperature. Slices were moved to the recording chamber and maintained under continuous superfusion with recording ACSF at near-physiological temperature (31–33° C) throughout all recordings. All solutions were continuously bubbled with CO2-O2 (95%−5%).

Patch pipettes (3–5 MΩ) were obtained from borosilicate glass capillaries pulled with a micropipette puller (P-97, Sutter Instrument) and filled with voltage-clamp internal solution, containing (in mM)125: 100 KCl, 40 K-gluconate, 8 NaCl, 10 HEPES, 2 MgCl2, 0.1 EGTA, 2 Mg-ATP, 0.3 Na-GTP and 5 QX-314 (lidocaine); pH 7.2 with KOH. Data were acquired from cells with initial series resistance below 30 MΩ (60% compensation). Data were collected at a sampling rate of 10 kHz with a Multiclamp 700B amplifier (Molecular Devices), low-pass filtered at 3 kHz and digitized with a digital-to-analog converter board (National Instruments, NI-USB-6343). Custom-designed Matlab software was used for data acquisition and analysis (modified from Sabatini lab). All experiments were carried out in a motorized upright microscope (Scientifica, SliceScope Pro 1000) coupled to a CCD camera (Hamamatsu Photonics, Orca Flash 4.0 or Q Imaging, Retiga Electro). A subset of recorded cells was filled with biocytin 0.1–0.2% and slices were incubated with 4% PFA in 0.1 M phosphate buffer (PB) overnight. On the following day, slices were washed in phosphate buffer saline (PBS) and incubated in Alexa Fluor-488/700 Streptavidin for 2 hours to analyze the morphology of the filled neurons.

Optogenetic experiments to record MGBv monosynaptic inputs onto L1 VIP-INs, L1 NDNF-INs and L4 Pyr neurons were carried out in Vip-IRES-Cre x Ndnf-IRES-FlpO mice expressing ChR2 in the MGBv. To identify VIP- and NDNF-INs, we used Cre- and Flp-dependent reporters in ACx, while L4 Pyr neurons were identified by their characteristic morphology under IR-DIC. Light-evoked monosynaptic responses to a wide-field 470 nm LED pulse (CoolLED, pE-100; 5 ms, ~14 mW/mm2) were recorded in voltage-clamp configuration (Vhold = −70 mV) in the presence of bath-applied 1 μM TTX and 1 mM 4-AP. Recordings were obtained from at least one cell from each subtype in every slice to allow for the normalization of evoked currents in L1 VIP- and NDNF-INs to those in L4 Pyr neurons. This controlled for variability in ChR2 expression across slices. Glutamatergic currents were abolished by 20 μM DNQX and 50 μM AP5.

For electrically-evoked synaptic responses, experiments were performed in Vip-IRES-Cre or Ndnf-IRES-Cre crossed with the Ai9 mouse line (Cre-dependent TdTomato), which allowed for the identification of L1 VIP-INs and NDNF-INs, respectively. L4 Pyr neurons were identified as described above. We recorded electrically-evoked excitatory postsynaptic currents (EPSCs) from L1 VIP-INs, L1 NDNF-INs and L4 Pyr cells in whole-cell voltage clamp configuration (Vhold = −70 mV). The thalamic axons were stimulated by placing a custom-made bipolar electrode (FHC, M21CEP(CT1)) on the white matter to deliver 0.5 ms current pulses using a constant current stimulus isolator (A.M.P.I., Iso-Flex). For each recorded cell, the electrical stimulation threshold was determined as the current intensity required to evoke EPSCs. Minimal stimulation experiments used a stimulation intensity near threshold to obtain a 50% failure rate87, and 50 trials were recorded for each cell at an interstimulus interval (ISI) of 10 seconds (s). During post-hoc analysis, a Kernel density estimation was performed on the distribution of minimal stimulation-evoked EPSC amplitudes, and the amplitude of the smallest peak was reported as the putative single axon response for a given neuron. For short-term plasticity experiments, electrical stimulation was slightly increased to twice the threshold determined for each cell, and 5 trials were acquired with an ISI of 30 seconds. To evaluate responses to suprathreshold thalamic stimulation, the electrical stimulus was increased to 5 times the threshold determined for each cell, and 10 trials were acquired with an ISI = 10 seconds. Optogenetically- and electrically-evoked EPSC recordings were obtained from VIP- and NDNF-INs residing exclusively in L1 below the L1/L2 boundary of the primary ACx (A1), estimated to be at around 100 μm71. For VIP- and NDNF-INs, the average depth of recorded neurons was 103.37 ± 28.79 μm, and 60.35 ± 22.52 μm, respectively.

Immunohistochemistry.

One week following the RV-nEGFP injections, mice were anesthetized with isoflurane 5% in O2 and Fatal Plus administered intraperitoneally (18 mg/ml; dosage 0.1 ml/10 g). Mice were subsequently perfused with 4% PFA in 0.1 M PB and brains were incubated in PBS with azide overnight. The following day, brains were washed (3x) in PBS and transferred to a 30% sucrose in PBS solution. Brains were incubated for 3 days or until they sunk to the bottom of the container. The brains were then removed from the solution, lightly patted dry to remove any droplets of solution, placed in a falcon tube and on dry ice until frozen. Full brains were sliced into coronal sections (50 μm) using a cryostat. Floating slices were maintained in PBS with azide at 4°C. Slices spanning the ACx region and the auditory thalamus were immunostained with anti-calretinin and anti-mCherry antibodies (both at 1:2000; secondaries were used at 1:500), treated with 60 nM DAPI and mounted. Images were acquired on a confocal microscope at 20X (Leica Microsystems, SP8) or on a slide scanner at 10X (Olympus, VS200).

Image analysis.

Quantification of monosynaptic rabies tracing experiments was performed using the NeuroInfo software. Serial images (10X) were converted to jp2 format and loaded into Assemble Serial Sections within the BrainMaker workflow. Individual slices were defined as sections through automatic detection of slice edges. Section order was manually reviewed and edited. Automated section alignment was performed using section shape and image features to yield accurate results. The alignment was manually reviewed and adjusted. Automatic cell detection was then performed using the Detect Cells pipeline, and manually reviewed. Cells were detected across all sections. RV-nEGFP- TVA-expressing cells were detected on the FITC and mCherry channels, respectively. The Colocalize Markers tool was used to identify neurons expressing both the fluorophore markers for RV-nEGFP- and TVA-mCherry-expressing cellswithin 7 μm distance). Sections were then aligned to an unified common coordinate framework atlas (YSK atlas)78 using the Section Registration workflow. Calibration was performed based on the same atlas. Manual registration adjustments were made until the sections aligned with the atlas overlay, using calretinin immunostaining to confirm the accuracy of our method. Data points were then exported by selecting Map Experimental Data to Atlas and selecting all planes to be mapped to all brain regions.

Statistical analysis.

Statistics were conducted using GraphPad Prism or Matlab. Electrophysiology data was analyzed by a Wilcoxon matched-pairs signed rank test, the Friedman non-parametric repeated measures ANOVA or the Kruskal-Wallis non-parametric ANOVA, followed by Dunn’s multiple comparisons test. Differences in cell counts across regions of the auditory thalamus were assessed using a Wilcoxon matched-pairs signed rank test. Data are represented as mean ± SEM and traces are represented as mean ± SD, unless otherwise noted. The number of cells (n) and mice used in this study are provided in Supplementary Table 1 and Supplementary Table 2.

Supplementary Material

Supplement 1
media-1.docx (7.1KB, docx)
Supplement 2
media-2.docx (8.3KB, docx)
Supplement 3

Acknowledgments

This work was supported by funds from the NIH NIDCD R01DC018353, and NIDCD F32DC018211 (to C.G.S.), the Nancy Lurie Marks Family Foundation, the Bertarelli Foundation, the Pew Latin American Fellows Program (to L.G.V.), the Herchel Smith Graduate Fellowship (to C.J.L.), the Science and Innovation Fellowship from Center on the Developing Child at Harvard University (to C.J.L.), the Amelia Peabody Scholarship (to C.J.L.). We thank Dr. Bernardo Sabatini (Harvard Medical School) and his lab members for kindly providing the SAD-ΔG-H2B-EGFP (RV-nEGFP) virus, the electrophysiology acquisition software, and for allowing us to use their slide scanner. We thank Dr. Daniel Polley (Mass Eye and Ear, Harvard Medical School) and his lab members for technical assistance and discussions, Dr. Maryse Thomas and Steven Minderler for feedback on the figures and manuscript, and Kasey Smith and Benjamin Glickman for animal care.

Footnotes

Declaration of interests

The authors declare no competing interests.

References

  • 1.Fritz J.B., Elhilali M., David S.V., and Shamma S.A. (2007). Auditory attention — focusing the searchlight on sound. Current Opinion in Neurobiology 17, 437–455. 10.1016/j.conb.2007.07.011. [DOI] [PubMed] [Google Scholar]
  • 2.Angeloni C., and Geffen M.N. (2018). Contextual modulation of sound processing in the auditory cortex. Curr. Opin. Neurobiol. 49, 8–15. 10.1016/j.conb.2017.10.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Kuchibhotla K., and Bathellier B. (2018). Neural encoding of sensory and behavioral complexity in the auditory cortex. Curr. Opin. Neurobiol. 52, 65–71. 10.1016/j.conb.2018.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Blackwell J.M., and Geffen M.N. (2017). Progress and challenges for understanding the function of cortical microcircuits in auditory processing. Nat. Commun. 8, 2165. 10.1038/s41467-017-01755-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Winer J.A., Miller L.M., Lee C.C., and Schreiner C.E. (2005). Auditory thalamocortical transformation: structure and function. Trends Neurosci. 28, 255–263. 10.1016/j.tins.2005.03.009. [DOI] [PubMed] [Google Scholar]
  • 6.Lee C.C. (2013). Thalamic and cortical pathways supporting auditory processing. Brain and Language 126, 22–28. 10.1016/j.bandl.2012.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Froemke R.C., Merzenich M.M., and Schreiner C.E. (2007). A synaptic memory trace for cortical receptive field plasticity. Nature 450, 425–429. 10.1038/nature06289. [DOI] [PubMed] [Google Scholar]
  • 8.Kuchibhotla K.V., Gill J.V., Lindsay G.W., Papadoyannis E.S., Field R.E., Sten T.A.H., Miller K.D., and Froemke R.C. (2017). Parallel processing by cortical inhibition enables context-dependent behavior. Nat. Neurosci. 20, 62–71. 10.1038/nn.4436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Zhu F., Elnozahy S., Lawlor J., and Kuchibhotla K.V. (2023). The cholinergic basal forebrain provides a parallel channel for state-dependent sensory signaling to auditory cortex. Nat. Neurosci., 1–10. 10.1038/s41593-023-01289-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Hurley L.M., and Hall I.C. (2011). Context-dependent modulation of auditory processing by serotonin. Hear. Res. 279, 74–84. 10.1016/j.heares.2010.12.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Metherate R., Intskirveli I., and Kawai H.D. (2012). Nicotinic filtering of sensory processing in auditory cortex. Front. Behav. Neurosci. 6, 44. 10.3389/fnbeh.2012.00044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Cody P.A., and Tzounopoulos T. (2022). Neuromodulatory Mechanisms Underlying Contrast Gain Control in Mouse Auditory Cortex. J. Neurosci. 42, 5564–5579. 10.1523/JNEUROSCI.2054-21.2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Schneider D.M., Nelson A., and Mooney R. (2014). A synaptic and circuit basis for corollary discharge in the auditory cortex. Nature 513, 189–194. 10.1038/nature13724. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Edeline J.-M. (2003). The thalamo-cortical auditory receptive fields: regulation by the states of vigilance, learning and the neuromodulatory systems. Exp. Brain Res. 153, 554–572. 10.1007/s00221-003-1608-0. [DOI] [PubMed] [Google Scholar]
  • 15.Leach N.D., Nodal F.R., Cordery P.M., King A.J., and Bajo V.M. (2013). Cortical cholinergic input is required for normal auditory perception and experience-dependent plasticity in adult ferrets. J. Neurosci. 33, 6659–6671. 10.1523/JNEUROSCI.5039-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Winkowski D.E., Bandyopadhyay S., Shamma S.A., and Kanold P.O. (2013). Frontal cortex activation causes rapid plasticity of auditory cortical processing. J. Neurosci. 33, 18134–18148. 10.1523/JNEUROSCI.0180-13.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Fritz J.B., David S.V., Radtke-Schuller S., Yin P., and Shamma S.A. (2010). Adaptive, behaviorally gated, persistent encoding of task-relevant auditory information in ferret frontal cortex. Nat. Neurosci. 13, 1011–1019. 10.1038/nn.2598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.David S.V., Fritz J.B., and Shamma S.A. (2012). Task reward structure shapes rapid receptive field plasticity in auditory cortex. Proc. Natl. Acad. Sci. U. S. A. 109, 2144–2149. 10.1073/pnas.1117717109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Polley D.B., Steinberg E.E., and Merzenich M.M. (2006). Perceptual learning directs auditory cortical map reorganization through top-down influences. J. Neurosci. 26, 4970–4982. 10.1523/JNEUROSCI.3771-05.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Froemke R.C., Carcea I., Barker A.J., Yuan K., Seybold B.A., Martins A.R.O., Zaika N., Bernstein H., Wachs M., Levis P.A., et al. (2013). Long-term modification of cortical synapses improves sensory perception. Nat. Neurosci. 16, 79–88. 10.1038/nn.3274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Letzkus J.J., Wolff S.B.E., Meyer E.M.M., Tovote P., Courtin J., Herry C., and Lüthi A. (2011). A disinhibitory microcircuit for associative fear learning in the auditory cortex. Nature 480, 331–335. 10.1038/nature10674. [DOI] [PubMed] [Google Scholar]
  • 22.Guo W., Robert B., and Polley D.B. (2019). The Cholinergic Basal Forebrain Links Auditory Stimuli with Delayed Reinforcement to Support Learning. Neuron 103, 1164–1177.e6. 10.1016/j.neuron.2019.06.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Glennon E., Valtcheva S., Zhu A., Wadghiri Y.Z., Svirsky M.A., and Froemke R.C. (2022). Locus coeruleus activity improves cochlear implant performance. Nature. 10.1038/s41586-022-05554-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Takesian A.E., Bogart L.J., Lichtman J.W., and Hensch T.K. (2018). Inhibitory circuit gating of auditory critical-period plasticity. Nat. Neurosci. 21, 218–227. 10.1038/s41593-017-0064-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Ji W., and Suga N. (2007). Serotonergic modulation of plasticity of the auditory cortex elicited by fear conditioning. J. Neurosci. 27, 4910–4918. 10.1523/JNEUROSCI.5528-06.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Kilgard M.P., and Merzenich M.M. (1998). Cortical map reorganization enabled by nucleus basalis activity. Science 279, 1714–1718. 10.1126/science.279.5357.1714. [DOI] [PubMed] [Google Scholar]
  • 27.Yan J., and Zhang Y. (2005). Sound-guided shaping of the receptive field in the mouse auditory cortex by basal forebrain activation. Eur. J. Neurosci. 21, 563–576. 10.1111/j.1460-9568.2005.03878.x. [DOI] [PubMed] [Google Scholar]
  • 28.Blundon J.A., Bayazitov I.T., and Zakharenko S.S. (2011). Presynaptic gating of postsynaptically expressed plasticity at mature thalamocortical synapses. J. Neurosci. 31, 16012–16025. 10.1523/JNEUROSCI.3281-11.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Chun S., Bayazitov I.T., Blundon J.A., and Zakharenko S.S. (2013). Thalamocortical long-term potentiation becomes gated after the early critical period in the auditory cortex. J. Neurosci. 33, 7345–7357. 10.1523/JNEUROSCI.4500-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Weinberger N.M. (2003). The nucleus basalis and memory codes: auditory cortical plasticity and the induction of specific, associative behavioral memory. Neurobiol. Learn. Mem. 80, 268–284. 10.1016/s1074-7427(03)00072-8. [DOI] [PubMed] [Google Scholar]
  • 31.Trottier S.A., Evrard B., Vignal J.-P., Scarabin J.-M., and Chauvel P.A. (1996). The serotonergic innervation of the cerebral cortex in man and its changes in focal cortical dysplasia. Epilepsy Research 25, 79–106. 10.1016/0920-1211(96)00033-2. [DOI] [PubMed] [Google Scholar]
  • 32.Kajstura T.J., Dougherty S.E., and Linden D.J. (2018). Serotonin axons in the neocortex of the adult female mouse regrow after traumatic brain injury. J. Neurosci. Res. 96, 512–526. 10.1002/jnr.24059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Mechawar N., Cozzari C., and Descarries L. (2000). Cholinergic innervation in adult rat cerebral cortex: a quantitative immunocytochemical description. J. Comp. Neurol. 428, 305–318. . [DOI] [PubMed] [Google Scholar]
  • 34.Huang S., Wu S.J., Sansone G., Ibrahim L.A., and Fishell G. (2023). Layer 1 neocortex: Gating and integrating multidimensional signals. Neuron. 10.1016/j.neuron.2023.09.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Eggermann E., Kremer Y., Crochet S., and Petersen C.C.H. (2014). Cholinergic signals in mouse barrel cortex during active whisker sensing. Cell Rep. 9, 1654–1660. 10.1016/j.celrep.2014.11.005. [DOI] [PubMed] [Google Scholar]
  • 36.Mowery T.M., Kotak V.C., and Sanes D.H. (2016). The onset of visual experience gates auditory cortex critical periods. Nat. Commun. 7, 1–11. 10.1038/ncomms10416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Ying R., Hamlette L., Nikoobakht L., Balaji R., Miko N., and Caras M.L. (2023). Organization of orbitofrontal-auditory pathways in the Mongolian gerbil. J. Comp. Neurol. 531, 1459–1481. 10.1002/cne.25525. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Sun W., Tang P., Liang Y., Li J., Feng J., Zhang N., Lu D., He J., and Chen X. (2022). The anterior cingulate cortex directly enhances auditory cortical responses in air-puffing-facilitated flight behavior. Cell Rep. 38, 110506. 10.1016/j.celrep.2022.110506. [DOI] [PubMed] [Google Scholar]
  • 39.Abs E., Poorthuis R.B., Apelblat D., Muhammad K., Pardi M.B., Enke L., Kushinsky D., Pu D.-L., Eizinger M.F., Conzelmann K.-K., et al. (2018). Learning-Related Plasticity in Dendrite-Targeting Layer 1 Interneurons. Neuron 100, 684–699.e6. 10.1016/j.neuron.2018.09.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Ibrahim L.A., Mesik L., Ji X.-Y., Fang Q., Li H.-F., Li Y.-T., Zingg B., Zhang L.I., and Tao H.W. (2016). Cross-Modality Sharpening of Visual Cortical Processing through Layer-1-Mediated Inhibition and Disinhibition. Neuron 89, 1031–1045. 10.1016/j.neuron.2016.01.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Leinweber M., Ward D.R., Sobczak J.M., Attinger A., and Keller G.B. (2017). A Sensorimotor Circuit in Mouse Cortex for Visual Flow Predictions. Neuron 95, 1420–1432.e5. 10.1016/j.neuron.2017.08.036. [DOI] [PubMed] [Google Scholar]
  • 42.Lee S., Kruglikov I., Huang Z.J., Fishell G., and Rudy B. (2013). A disinhibitory circuit mediates motor integration in the somatosensory cortex. Nat. Neurosci. 16, 1662–1670. 10.1038/nn.3544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Ledderose J.M.T., Zolnik T.A., Toumazou M., Trimbuch T., Rosenmund C., Eickholt B.J., Jaeger D., Larkum M.E., and Sachdev R.N.S. (2023). Layer 1 of somatosensory cortex: an important site for input to a tiny cortical compartment. Cereb. Cortex. 10.1093/cercor/bhad371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Cohen-Kashi Malina K., Tsivourakis E., Kushinsky D., Apelblat D., Shtiglitz S., Zohar E., Sokoletsky M., Tasaka G.-I., Mizrahi A., Lampl I., et al. (2021). NDNF interneurons in layer 1 gain-modulate whole cortical columns according to an animal’s behavioral state. Neuron 109, 2150–2164.e5. 10.1016/j.neuron.2021.05.001. [DOI] [PubMed] [Google Scholar]
  • 45.Yang Y., Liu D.-Q., Huang W., Deng J., Sun Y., Zuo Y., and Poo M.-M. (2016). Selective synaptic remodeling of amygdalocortical connections associated with fear memory. Nat. Neurosci. 19, 1348–1355. 10.1038/nn.4370. [DOI] [PubMed] [Google Scholar]
  • 46.Wall N.R., De La Parra M., Sorokin J.M., Taniguchi H., Huang Z.J., and Callaway E.M. (2016). Brain-Wide Maps of Synaptic Input to Cortical Interneurons. J. Neurosci. 36, 4000–4009. 10.1523/JNEUROSCI.3967-15.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Pardi M.B., Vogenstahl J., Dalmay T., Spanò T., Pu D.-L., Naumann L.B., Kretschmer F., Sprekeler H., and Letzkus J.J. (2020). A thalamocortical top-down circuit for associative memory. Science 370, 844–848. 10.1126/science.abc2399. [DOI] [PubMed] [Google Scholar]
  • 48.Williams L.E., and Holtmaat A. (2019). Higher-Order Thalamocortical Inputs Gate Synaptic Long-Term Potentiation via Disinhibition. Neuron 101, 91–102.e4. 10.1016/j.neuron.2018.10.049. [DOI] [PubMed] [Google Scholar]
  • 49.Roth M.M., Dahmen J.C., Muir D.R., Imhof F., Martini F.J., and Hofer S.B. (2016). Thalamic nuclei convey diverse contextual information to layer 1 of visual cortex. Nat. Neurosci. 19, 299–307. 10.1038/nn.4197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Rubio-Garrido P., Pérez-de-Manzo F., Porrero C., Galazo M.J., and Clascá F. (2009). Thalamic input to distal apical dendrites in neocortical layer 1 is massive and highly convergent. Cereb. Cortex 19, 2380–2395. 10.1093/cercor/bhn259. [DOI] [PubMed] [Google Scholar]
  • 51.Vasquez-Lopez S.A., Weissenberger Y., Lohse M., Keating P., King A.J., and Dahmen J.C. (2017). Thalamic input to auditory cortex is locally heterogeneous but globally tonotopic. Elife 6. 10.7554/eLife.25141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Cai D., Yue Y., Su X., Liu M., Wang Y., You L., Xie F., Deng F., Chen F., Luo M., et al. (2019). Distinct Anatomical Connectivity Patterns Differentiate Subdivisions of the Nonlemniscal Auditory Thalamus in Mice. Cereb. Cortex 29, 2437–2454. 10.1093/cercor/bhy115. [DOI] [PubMed] [Google Scholar]
  • 53.La Terra D., Bjerre A.-S., Rosier M., Masuda R., Ryan T.J., and Palmer L.M. (2022). The role of higher-order thalamus during learning and correct performance in goal-directed behavior. Elife 11. 10.7554/eLife.77177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Chou X.-L., Fang Q., Yan L., Zhong W., Peng B., Li H., Wei J., Tao H.W., and Zhang L.I. (2020). Contextual and cross-modality modulation of auditory cortical processing through pulvinar mediated suppression. Elife 9. 10.7554/eLife.54157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Lee C.C. (2015). Exploring functions for the non-lemniscal auditory thalamus. Front. Neural Circuits 9, 69. 10.3389/fncir.2015.00069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Polley D.B., and Takesian A.E. (2022). Thalamocortical Circuits for Auditory Processing, Plasticity, and Perception. In The Thalamus (Cambridge University Press; ), pp. 237–268. 10.1017/9781108674287.014. [DOI] [Google Scholar]
  • 57.Ji X.-Y., Zingg B., Mesik L., Xiao Z., Zhang L.I., and Tao H.W. (2016). Thalamocortical Innervation Pattern in Mouse Auditory and Visual Cortex: Laminar and Cell-Type Specificity. Cereb. Cortex 26, 2612–2625. 10.1093/cercor/bhv099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Ibrahim L.A., Huang S., Fernandez-Otero M., Sherer M., Qiu Y., Vemuri S., Xu Q., Machold R., Pouchelon G., Rudy B., et al. (2021). Bottom-up inputs are required for establishment of top-down connectivity onto cortical layer 1 neurogliaform cells. Neuron 109, 3473–3485.e5. 10.1016/j.neuron.2021.08.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Smith P.H., Uhlrich D.J., Manning K.A., and Banks M.I. (2012). Thalamocortical projections to rat auditory cortex from the ventral and dorsal divisions of the medial geniculate nucleus. J. Comp. Neurol. 520, 34–51. 10.1002/cne.22682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Hackett T.A., Barkat T.R., O’Brien B.M.J., Hensch T.K., and Polley D.B. (2011). Linking topography to tonotopy in the mouse auditory thalamocortical circuit. J. Neurosci. 31, 2983–2995. 10.1523/JNEUROSCI.5333-10.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Cauller L. (1995). Layer I of primary sensory neocortex: where top-down converges upon bottom-up. Behav. Brain Res. 71, 163–170. 10.1016/0166-4328(95)00032-1. [DOI] [PubMed] [Google Scholar]
  • 62.Pardi M.B., Schroeder A., and Letzkus J.J. (2023). Probing top-down information in neocortical layer 1. Trends Neurosci. 46, 20–31. 10.1016/j.tins.2022.11.001. [DOI] [PubMed] [Google Scholar]
  • 63.Schuman B., Machold R.P., Hashikawa Y., Fuzik J., Fishell G.J., and Rudy B. (2019). Four Unique Interneuron Populations Reside in Neocortical Layer 1. J. Neurosci. 39, 125–139. 10.1523/JNEUROSCI.1613-18.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Fu Y., Kaneko M., Tang Y., Alvarez-Buylla A., and Stryker M.P. (2015). A cortical disinhibitory circuit for enhancing adult plasticity. Elife 4, e05558. 10.7554/eLife.05558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Fu Y., Tucciarone J.M., Sebastian Espinosa J., Sheng N., Darcy D.P., Nicoll R.A., Josh Huang Z., and Stryker M.P. (2014). A Cortical Circuit for Gain Control by Behavioral State. Cell 156, 1139–1152. 10.1016/j.cell.2014.01.050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Pi H.-J., Hangya B., Kvitsiani D., Sanders J.I., Huang Z.J., and Kepecs A. (2013). Cortical interneurons that specialize in disinhibitory control. Nature 503, 521–524. 10.1038/nature12676. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Karnani M.M., Jackson J., Ayzenshtat I., Sichani A.H., Manoocheri K., Kim S., and Yuste R. (2016). Opening Holes in the Blanket of Inhibition: Localized Lateral Disinhibition by VIP Interneurons. J. Neurosci. 36, 3471–3480. 10.1523/JNEUROSCI.3646-15.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Rudy B., Fishell G., Lee S., and Hjerling-Leffler J. (2011). Three groups of interneurons account for nearly 100% of neocortical GABAergic neurons. Dev. Neurobiol. 71, 45–61. 10.1002/dneu.20853. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Askew C.E., Lopez A.J., Wood M.A., and Metherate R. (2019). Nicotine excites VIP interneurons to disinhibit pyramidal neurons in auditory cortex. Synapse 73, e22116. 10.1002/syn.22116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Lee S., Hjerling-Leffler J., Zagha E., Fishell G., and Rudy B. (2010). The largest group of superficial neocortical GABAergic interneurons expresses ionotropic serotonin receptors. J. Neurosci. 30, 16796–16808. 10.1523/JNEUROSCI.1869-10.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Poorthuis R.B., Muhammad K., Wang M., Verhoog M.B., Junek S., Wrana A., Mansvelder H.D., and Letzkus J.J. (2018). Rapid Neuromodulation of Layer 1 Interneurons in Human Neocortex. Cell Rep. 23, 951–958. 10.1016/j.celrep.2018.03.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Tasaka G.-I., Maggi C., Taha E., and Mizrahi A. (2022). The local and long-range input landscape of inhibitory neurons in mouse auditory cortex. J. Comp. Neurol. 10.1002/cne.25437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Ibrahim L.A., Schuman B., Bandler R., Rudy B., and Fishell G. (2020). Mining the jewels of the cortex’s crowning mystery. Curr. Opin. Neurobiol. 63, 154–161. 10.1016/j.conb.2020.04.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Hartung J., Schroeder A., Vázquez R.A.P., Poorthuis R.B., and Letzkus J.J. (2023). Layer 1 NDNF Interneurons are Specialized Top-Down Master Regulators of Cortical Circuits. bioRxiv, 2023.10.02.560136. 10.1101/2023.10.02.560136. [DOI] [PubMed] [Google Scholar]
  • 75.Jiang X., Wang G., Lee A.J., Stornetta R.L., and Zhu J.J. (2013). The organization of two new cortical interneuronal circuits. Nat. Neurosci. 16, 210–218. 10.1038/nn.3305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Hyun M., Taranda J., Radeljic G., Miner L., Wang W., Ochandarena N., Huang K.W., Osten P., and Sabatini B.L. (2021). Social isolation uncovers a circuit underlying context-dependent territory-covering micturition. Proc. Natl. Acad. Sci. U. S. A. 118. 10.1073/pnas.2018078118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Anastasiades P.G., Collins D.P., and Carter A.G. (2021). Mediodorsal and Ventromedial Thalamus Engage Distinct L1 Circuits in the Prefrontal Cortex. Neuron 109, 314–330.e4. 10.1016/j.neuron.2020.10.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Chon U., Vanselow D.J., Cheng K.C., and Kim Y. (2019). Enhanced and unified anatomical labeling for a common mouse brain atlas. Nat. Commun. 10, 5067. 10.1038/s41467-019-13057-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Lu E., Llano D.A., and Sherman S.M. (2009). Different distributions of calbindin and calretinin immunostaining across the medial and dorsal divisions of the mouse medial geniculate body. Hear. Res. 257, 16–23. 10.1016/j.heares.2009.07.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Zhao M., Ren M., Jiang T., Jia X., Wang X., Li A., Li X., Luo Q., and Gong H. (2022). Whole-Brain Direct Inputs to and Axonal Projections from Excitatory and Inhibitory Neurons in the Mouse Primary Auditory Area. Neurosci. Bull. 38, 576–590. 10.1007/s12264-022-00838-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Slater B.J., Sons S.K., Yudintsev G., Lee C.M., and Llano D.A. (2019). Thalamocortical and Intracortical Inputs Differentiate Layer-Specific Mouse Auditory Corticocollicular Neurons. J. Neurosci. 39, 256–270. 10.1523/JNEUROSCI.3352-17.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Petreanu L., Mao T., Sternson S.M., and Svoboda K. (2009). The subcellular organization of neocortical excitatory connections. Nature 457, 1142–1145. 10.1038/nature07709. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Wallace M.L., Saunders A., Huang K.W., Philson A.C., Goldman M., Macosko E.Z., McCarroll S.A., and Sabatini B.L. (2017). Genetically Distinct Parallel Pathways in the Entopeduncular Nucleus for Limbic and Sensorimotor Output of the Basal Ganglia. Neuron 94, 138–152.e5. 10.1016/j.neuron.2017.03.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Linders L.E., Supiot L.F., Du W., D’Angelo R., Adan R.A.H., Riga D., and Meye F.J. (2022). Studying Synaptic Connectivity and Strength with Optogenetics and Patch-Clamp Electrophysiology. Int. J. Mol. Sci. 23. 10.3390/ijms231911612. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Jackman S.L., Beneduce B.M., Drew I.R., and Regehr W.G. (2014). Achieving high-frequency optical control of synaptic transmission. J. Neurosci. 34, 7704–7714. 10.1523/JNEUROSCI.4694-13.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Cruikshank S.J., Rose H.J., and Metherate R. (2002). Auditory thalamocortical synaptic transmission in vitro. J. Neurophysiol. 87, 361–384. 10.1152/jn.00549.2001. [DOI] [PubMed] [Google Scholar]
  • 87.Rose H.J., and Metherate R. (2005). Auditory thalamocortical transmission is reliable and temporally precise. J. Neurophysiol. 94, 2019–2030. 10.1152/jn.00860.2004. [DOI] [PubMed] [Google Scholar]
  • 88.Isaac J.T., Crair M.C., Nicoll R.A., and Malenka R.C. (1997). Silent synapses during development of thalamocortical inputs. Neuron 18, 269–280. 10.1016/s0896-6273(00)80267-6. [DOI] [PubMed] [Google Scholar]
  • 89.Salami M., Itami C., Tsumoto T., and Kimura F. (2003). Change of conduction velocity by regional myelination yields constant latency irrespective of distance between thalamus and cortex. Proc. Natl. Acad. Sci. U. S. A. 100, 6174–6179. 10.1073/pnas.0937380100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Lee C.C., and Sherman S.M. (2008). Synaptic properties of thalamic and intracortical inputs to layer 4 of the first- and higher-order cortical areas in the auditory and somatosensory systems. J. Neurophysiol. 100, 317–326. 10.1152/jn.90391.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Regehr W.G. (2012). Short-term presynaptic plasticity. Cold Spring Harb. Perspect. Biol. 4, a005702. 10.1101/cshperspect.a005702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Takesian A.E., Kotak V.C., Sharma N., and Sanes D.H. (2013). Hearing loss differentially affects thalamic drive to two cortical interneuron subtypes. J. Neurophysiol. 110, 999–1008. 10.1152/jn.00182.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Tan Z., Hu H., Huang Z.J., and Agmon A. (2008). Robust but delayed thalamocortical activation of dendritic-targeting inhibitory interneurons. Proc. Natl. Acad. Sci. U. S. A. 105, 2187–2192. 10.1073/pnas.0710628105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Barbour D.L., and Callaway E.M. (2008). Excitatory Local Connections of Superficial Neurons in Rat Auditory Cortex. J. Neurosci. 28, 11174–11185. 10.1523/JNEUROSCI.2093-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Kratz M.B., and Manis P.B. (2015). Spatial organization of excitatory synaptic inputs to layer 4 neurons in mouse primary auditory cortex. Front. Neural Circuits 9, 17. 10.3389/fncir.2015.00017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Khan A.G., and Hofer S.B. (2018). Contextual signals in visual cortex. Curr. Opin. Neurobiol. 52, 131–138. 10.1016/j.conb.2018.05.003. [DOI] [PubMed] [Google Scholar]
  • 97.Schroeder A., Pardi M.B., Keijser J., Dalmay T., Groisman A.I., Schuman E.M., Sprekeler H., and Letzkus J.J. (2023). Inhibitory top-down projections from zona incerta mediate neocortical memory. Neuron. 10.1016/j.neuron.2022.12.010. [DOI] [PubMed] [Google Scholar]
  • 98.Yao S., Wang Q., Hirokawa K.E., Ouellette B., Ahmed R., Bomben J., Brouner K., Casal L., Caldejon S., Cho A., et al. (2023). A whole-brain monosynaptic input connectome to neuron classes in mouse visual cortex. Nat. Neurosci. 26, 350–364. 10.1038/s41593-022-01219-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Bartlett E.L. (2013). The organization and physiology of the auditory thalamus and its role in processing acoustic features important for speech perception. Brain and Language 126, 29–48. 10.1016/j.bandl.2013.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Huang C.L., and Winer J.A. (2000). Auditory thalamocortical projections in the cat: laminar and areal patterns of input. J. Comp. Neurol. 427, 302–331. . [DOI] [PubMed] [Google Scholar]
  • 101.Jones E.G., and Burton H. (1976). Areal differences in the laminar distribution of thalamic afferents in cortical fields of the insular, parietal and temporal regions of primates. J. Comp. Neurol. 168, 197–247. 10.1002/cne.901680203. [DOI] [PubMed] [Google Scholar]
  • 102.Audette N.J., Urban-Ciecko J., Matsushita M., and Barth A.L. (2018). POm Thalamocortical Input Drives Layer-Specific Microcircuits in Somatosensory Cortex. Cereb. Cortex 28, 1312–1328. 10.1093/cercor/bhx044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Harris J.A., Mihalas S., Hirokawa K.E., Whitesell J.D., Choi H., Bernard A., Bohn P., Caldejon S., Casal L., Cho A., et al. (2019). Hierarchical organization of cortical and thalamic connectivity. Nature 575, 195–202. 10.1038/s41586-019-1716-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.El-Boustani S., Sermet B.S., Foustoukos G., Oram T.B., Yizhar O., and Petersen C.C.H. (2020). Anatomically and functionally distinct thalamocortical inputs to primary and secondary mouse whisker somatosensory cortices. Nat. Commun. 11, 3342. 10.1038/s41467-020-17087-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Sermet B.S., Truschow P., Feyerabend M., Mayrhofer J.M., Oram T.B., Yizhar O., Staiger J.F., and Petersen C.C. (2019). Pathway-, layer- and cell-type-specific thalamic input to mouse barrel cortex. Elife 8. 10.7554/eLife.52665. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Richardson R.J., Blundon J.A., Bayazitov I.T., and Zakharenko S.S. (2009). Connectivity patterns revealed by mapping of active inputs on dendrites of thalamorecipient neurons in the auditory cortex. J. Neurosci. 29, 6406–6417. 10.1523/JNEUROSCI.0258-09.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Morgenstern N.A., Bourg J., and Petreanu L. (2016). Multilaminar networks of cortical neurons integrate common inputs from sensory thalamus. Nat. Neurosci. 19, 1034–1040. 10.1038/nn.4339. [DOI] [PubMed] [Google Scholar]
  • 108.Oda S., Kishi K., Yang J., Chen S., Yokofujita J., Igarashi H., Tanihata S., and Kuroda M. (2004). Thalamocortical projection from the ventral posteromedial nucleus sends its collaterals to layer I of the primary somatosensory cortex in rat. Neurosci. Lett. 367, 394–398. 10.1016/j.neulet.2004.06.042. [DOI] [PubMed] [Google Scholar]
  • 109.Beierlein M., Gibson J.R., and Connors B.W. (2003). Two dynamically distinct inhibitory networks in layer 4 of the neocortex. J. Neurophysiol. 90, 2987–3000. 10.1152/jn.00283.2003. [DOI] [PubMed] [Google Scholar]
  • 110.Tremblay R., Lee S., and Rudy B. (2016). GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits. Neuron 91, 260–292. 10.1016/j.neuron.2016.06.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Apicella A.J., and Marchionni I. (2022). VIP-Expressing GABAergic Neurons: Disinhibitory vs. Inhibitory Motif and Its Role in Communication Across Neocortical Areas. Front. Cell. Neurosci. 16, 811484. 10.3389/fncel.2022.811484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Gouwens N.W., Sorensen S.A., Baftizadeh F., Budzillo A., Lee B.R., Jarsky T., Alfiler L., Baker K., Barkan E., Berry K., et al. (2020). Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells. Cell 183, 935–953.e19. 10.1016/j.cell.2020.09.057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Hestrin S. (1993). Different glutamate receptor channels mediate fast excitatory synaptic currents in inhibitory and excitatory cortical neurons. Neuron 11, 1083–1091. 10.1016/0896-6273(93)90221-C. [DOI] [PubMed] [Google Scholar]
  • 114.Cauli B., Porter J.T., Tsuzuki K., Lambolez B., Rossier J., Quenet B., and Audinat E. (2000). Classification of fusiform neocortical interneurons based on unsupervised clustering. Proc. Natl. Acad. Sci. U. S. A. 97, 6144–6149. 10.1073/pnas.97.11.6144. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Krause B.M., Raz A., Uhlrich D.J., Smith P.H., and Banks M.I. (2014). Spiking in auditory cortex following thalamic stimulation is dominated by cortical network activity. Frontiers in Systems Neuroscience 8. 10.3389/fnsys.2014.00170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Carcea I., Insanally M.N., and Froemke R.C. (2017). Dynamics of auditory cortical activity during behavioural engagement and auditory perception. Nature Communications. 10.1038/ncomms14412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Kaur S., Lazar R., and Metherate R. (2004). Intracortical Pathways Determine Breadth of Subthreshold Frequency Receptive Fields in Primary Auditory Cortex. J. Neurophysiol. 91, 2551–2567. 10.1152/jn.01121.2003. [DOI] [PubMed] [Google Scholar]
  • 118.Natan R.G., Rao W., and Geffen M.N. (2017). Cortical Interneurons Differentially Shape Frequency Tuning following Adaptation. Cell Reports 21, 878–890. 10.1016/j.celrep.2017.10.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Happel M.F.K., Jeschke M., and Ohl F.W. (2010). Spectral Integration in Primary Auditory Cortex Attributable to Temporally Precise Convergence of Thalamocortical and Intracortical Input. Journal of Neuroscience. 10.1523/JNEUROSCI.0689-10.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Mesik L., Huang J.J., Zhang L.I., and Tao H.W. (2019). Sensory- and Motor-Related Responses of Layer 1 Neurons in the Mouse Visual Cortex. J. Neurosci. 39, 10060–10070. 10.1523/JNEUROSCI.1722-19.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Pfeffer C.K., Xue M., He M., Huang Z.J., and Scanziani M. (2013). Inhibition of inhibition in visual cortex: the logic of connections between molecularly distinct interneurons. Nat. Neurosci. 16, 1068–1076. 10.1038/nn.3446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Kumar M., Handy G., Kouvaros S., Zhao Y., Brinson L.L., Wei E., Bizup B., Doiron B., and Tzounopoulos T. (2023). Cell-type-specific plasticity of inhibitory interneurons in the rehabilitation of auditory cortex after peripheral damage. Nat. Commun. 14, 1–23. 10.1038/s41467-023-39732-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Chittajallu R., Auville K., Mahadevan V., Lai M., Hunt S., Calvigioni D., Pelkey K.A., Zaghloul K.A., and McBain C.J. (2020). Activity-dependent tuning of intrinsic excitability in mouse and human neurogliaform cells. Elife 9. 10.7554/eLife.57571. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Beaulieu-Laroche L., Brown N.J., Hansen M., Toloza E.H.S., Sharma J., Williams Z.M., Frosch M.P., Cosgrove G.R., Cash S.S., and Harnett M.T. (2021). Allometric rules for mammalian cortical layer 5 neuron biophysics. Nature 600, 274–278. 10.1038/s41586-021-04072-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Takesian A.E., Kotak V.C., and Sanes D.H. (2010). Presynaptic GABA(B) receptors regulate experience-dependent development of inhibitory short-term plasticity. J. Neurosci. 30, 2716–2727. 10.1523/JNEUROSCI.3903-09.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]

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