Inhibition dominates sensory responses in the awake cortex.

The activity of the cerebral cortex is thought to depend on the precise relationship between synaptic excitation and inhibition. In the visual cortex, in particular, intracellular measurements have related response selectivity to coordinated increases in excitation and inhibition. These measurements, however, have all been made during anaesthesia, which strongly influences cortical state and therefore sensory processing. The synaptic activity that is evoked by visual stimulation during wakefulness is unknown. Here we measured visually evoked responses--and the underlying synaptic conductances--in the visual cortex of anaesthetized and awake mice. Under anaesthesia, responses could be elicited from a large region of visual space and were prolonged. During wakefulness, responses were more spatially selective and much briefer. Whole-cell patch-clamp recordings of synaptic conductances showed a difference in synaptic inhibition between the two conditions. Under anaesthesia, inhibition tracked excitation in amplitude and spatial selectivity. By contrast, during wakefulness, inhibition was much stronger than excitation and had extremely broad spatial selectivity. We conclude that during wakefulness, cortical responses to visual stimulation are dominated by synaptic inhibition, restricting the spatial spread and temporal persistence of neural activity. These results provide a direct glimpse of synaptic mechanisms that control sensory responses in the awake cortex.

To investigate the impact of wakefulness on the synaptic basis of visual selectivity, we performed local field potential (LFP) recordings and whole-cell recordings of membrane potential (Vm) in layer 2/3 of primary visual cortex (V1) in both anaesthetised and awake mice.

We first examined spontaneous activity, and found it to be profoundly affected by wakefulness (Fig. 1a,b). Under two widely used anaesthetic regimes, slow fluctuations in both Vm and LFP[18] were common (Fig. 1a, Supplementary Fig. 4). During wakefulness these slow fluctuations were abolished and replaced by higher frequency activity in both Vm and LFP (Fig. 1b, Supplementary Fig. 1). Indeed, in nearly all cases, Vm was distributed unimodally during waking[19,20], but bimodally during anaesthesia (Supplementary Fig. 1a,b). Spontaneous firing rates were similarly low in the two conditions (anaesthetised, 0.3 ± 0.2 spikes/s, n = 14; awake, 0.1 ± 0.1 spikes/s, n = 14; p = 0.07). These results indicate that V1 in awake mice rarely exhibits the spontaneous fluctuations that are common in anaesthesia or sleep[7,20] and that have been reported in area S1 of quietly awake mice[11].

Figure 1

Spontaneous and evoked activity in anaesthetised versus awake V1

a) Spontaneous membrane potential (Vm) and simultaneous local field potential (LFP) measured in V1 under anaesthesia. Spikes truncated.

b) Same as a, during wakefulness.

c) Visually evoked LFP response across space during anaesthesia. Averages of 15 trials per location. Dashed line, best location. Bottom, single trial (grey) and average (black) responses at best location.

d) Same as c, during wakefulness.

e) Anaesthetised Vm responses to stimuli at best location, single trials (grey) and average (black, ± SEM). Spikes truncated.

f) Same as e, during wakefulness. c-f from 4 different mice.

g) Distribution of Vm response durations at best location, across population (n = 14), measured under anaesthesia. Arrow: mean duration.

h) Same as g, during wakefulness.

We next probed visual responses with flashed bars, and found a striking effect of wakefulness on response duration (Fig. 1c-f). Briefly flashed bars (100 ms duration,1.5 s intervals) elicited long-lasting LFP responses under anaesthesia (Fig. 1c; 553 ± 22 ms, n = 7 mice) and much briefer responses during wakefulness (Fig. 1d; 171 ± 11 ms, n = 7 mice; p < 0.001). This striking difference in LFP response duration was seen across the depth of cortex (Supplementary Fig. 2). Awake Vm responses were also rapidly truncated (Fig. 1h; 148 ± 31 ms, n=14) compared to anaesthetised responses (Fig. 1g; 553 ± 73 ms, n=14; Supplementary Fig. 3). These prolonged responses in both Vm and LFP were remarkably similar across anaesthetic regimes, and persisted regardless of the depth of anaesthesia (Supplementary Figs. 4,5).

This marked difference in awake versus anaesthetised responses was not confounded by the presence of spontaneous alternations of excitability seen during anaesthesia (Fig. 2). We asked whether responses under anaesthesia differed when neurons were spontaneously hyperpolarized (Down) compared to depolarized (Up)[7]. Once we corrected for the tendency of Vm to spontaneously alternate between these states (Fig. 2c), we found that Vm responses evoked from either state during anaesthesia were remarkably similar in amplitude and duration (Fig. 2e), and were much longer than responses during wakefulness (Fig. 2f).

Figure 2

Anaesthetised responses are long lasting regardless of cortical state.

a) Distribution of spontaneous Vm during anaesthesia (n = 14 neurons).

b) Same as a, during wakefulness (n = 14 neurons).

c) Average (± SEM) anaesthetised Vm responses, sorted by pre-stimulus Vm level. Means of depolarized (black) and hyperpolarized (grey) groups (indicated by arrows in a). Pre-stimulus baseline Vm was subtracted before averaging. Dashed lines indicate average spontaneous Vm (blank stimuli), sorted similarly into two groups.

d) Same as c, during wakefulness (n = 14).

e) Average anaesthetised Vm response for hyperpolarized (black) and depolarized (grey) trials, after subtraction of spontaneous Vm traces.

f) Same as e, during wakefulness. Light grey line: Grand average of all anaesthetised responses (for comparison).

Responses in awake mice were also more selective across visual space (Fig. 3a-e). Vm responses were twice as spatially selective during wakefulness than under anaesthesia. This difference in spatial localization was even more pronounced for spikes[21] (Fig. 3e), even when we accounted for sustained responses during anaesthesia by restricting spike counts to the earliest portion of the sensory response (0-200 ms; Supplementary Fig. 6).

Figure 3

Responses are spatiotemporally restricted during waking

a) Evoked spikes per trial (normalized by each neuron’s response at best location). Symmetric locations on either side of zero combined. “Centre” defined as 0 ± 9°; “Surround” as ± 18-45°. Response window defined by average duration of population Vm response (Fig. 1g,h). n=14 for each group. ± SEM throughout figure.

b) Under anaesthesia (black), centre (left) and surround (right) stimuli evoked more spikes (p<0.001 for both) than during spontaneous activity (dashed). During wakefulness (green) spikes were fewer than under anaesthesia (p < 0.001 for both); centre evoked more spikes than surround (p < 0.009), and surround was not significantly different from spontaneous. 9/14 neurons active during anaesthesia, 5/14 active during waking.

c) Same as a, for peak Vm responses (normalized by each neuron’s response at best location).

d) Same as b, for peak Vm responses. Centre responses were greater than surround responses in both conditions (p < 0.04 for both), and all responses were greater than spontaneous activity (dashed lines, p < 0.001 for all). Awake responses were larger than anaesthetised responses (p< 0.001 for both).

e) Vm and spike responses were more spatially selective during waking. (Vm: anaesthetised, 0.3 ± 0.06; awake, 0.6 ± 0.06; p< 0.001; Spikes: anaesthetised 0.1 ± 0.1; awake, 0.6 ± 0.2; p< 0.001).

f) Spike-triggered average of Vm under anaesthesia (black) and wakefulness (green). Spike threshold (peak of second derivative of Vm) aligned at 0 mV.

Surprisingly, we observed fewer visually-evoked spikes during waking than under anaesthesia (Fig. 3b). This difference was particularly evident during stimulation of regions surrounding the centre of the receptive field. Under anaesthesia, stimuli in these regions evoked significantly more firing (0.6 ± 0.2 spikes/trial) than blank stimuli (0.3 ± 0.2 spikes/trial; p < 0.001). In awake animals, instead, stimuli in this region produced no net increase in spikes above spontaneous activity (0.08 ± 0.03 vs. 0.08 ± 0.04; p = 0.89).

The lower spike counts seen during wakefulness were also associated with a reduced variability in Vm responses (awake SD, 3.5 ± 0.03 mV; n=14; anaesth SD, 4.4 ± 0.03 mV, n=14, p < 0.001). This lower variability reduced threshold crossings of awake Vm, despite peak responses that were on average more depolarized than those during anaesthesia (Fig. 3d). Spike threshold was not different in wakefulness (−40.0 ± 1.1 mV) and anaesthesia (−40.0 ± 1.2 mV, p = 0.6). However, spikes evoked during wakefulness were quickly followed by a significant and long-lasting hyperpolarization (Fig. 3f). We hypothesized that this hyperpolarization — and indeed the finer spatiotemporal resolution of awake responses— was indicative of enhanced synaptic inhibition.

To test this hypothesis, we blocked the intrinsic conductances[22,23] in single neurons, and recorded synaptic currents in voltage clamp mode near the reversal potentials for glutamatergic excitation and GABAergic inhibition (Supplementary Fig. 7). We then estimated the relative change in total conductance (ΔG; Supplementary Figs. 7, and 8) visible at the soma[24] in response to visual stimulation. Resting conductance and peak evoked conductance were unaffected by wakefulness (Supplementary Figs. 7). Therefore, differences between awake and anaesthetised Vm must instead result from changes in the relative strength of excitatory and inhibitory conductances, ΔGe and ΔGi.

Under anaesthesia, the estimated excitatory and inhibitory conductances behaved just as expected from previous studies[1,5,7,8,17,22,23,25,26] (Fig. 4a). Upon stimulation, increased excitation was quickly followed by inhibition, and thereafter the two covaried at a sustained and elevated level for hundreds of ms after stimulus offset. In other words, ΔGe and ΔGi were balanced, in that they had similar amplitude and time course.

Figure 4

Visually evoked conductances are dominated by inhibition in awake V1.

a) ΔGe and ΔGi evoked by centre stimulation during anaesthesia (n = 5). ±SEM throughout.

b) Same, during waking (n=8).

c) ΔGe and ΔGi evoked by surround stimulation during anaesthesia. Same neurons as a.

d) Same, during waking. Same neurons as b.

e) Spatial profiles of excitation and inhibition under anaesthesia (left) versus wakefulness (right). ΔGe (red) and ΔGi (blue) normalized to peak ΔGe at centre (grey dashed line) for each neuron and averaged across population. Data were fitted with Gaussian (± SD, shaded) or linear (awake Gi, ± SD) functions. Scale bar, 18° width across RF centre.

During wakefulness, instead, inhibition dominated excitation during the entire time course of the visual response (Fig. 4b). During the initial 100 ms of response, the ratio of inhibition ΔGi to excitation ΔGe was 1.4-2.9 (geometric mean divided-times geometric s.e.), significantly larger than the ratio of 0.7-1.0 measured under anaesthesia (p < 0.05, one-tailed two-sample t-test; Supplementary Fig. 9). Inhibition remained above baseline significantly longer than excitation (by 29 ± 13 ms; p < 0.001), but both excitation and inhibition disengaged within 200 ms, mirroring the rapid termination of awake Vm and LFP responses observed earlier (cf. Fig. 1,2). Wakefulness also reduced the amplitude of ΔGe, presumably because the intracortical sources of excitation were themselves subject to the same enhanced inhibition as the recorded neuron.

Strikingly, in awake animals, visually evoked inhibition was strongly activated even by stimuli placed far away from the receptive field centre (Fig. 4d, Supplementary Fig. 9). During anaesthesia, by contrast, placing stimuli in these surrounding regions evoked little inhibition (Fig. 4c). Across all recordings in anaesthetised mice (n = 6), ΔGi over the first 100 ms of the response was 1.8-2.4 times larger for stimuli in the centre than in the surround (significantly > 1; p < 0.005, one-tailed t-test). In awake mice, instead, ΔGi was remarkably unselective for position: it was not significantly different in amplitude whether elicited from the centre or from the surround (p = 0.07). In fact, in every neuron recorded during wakefulness (n = 16; Supplementary Fig. 9) the ΔGi to ΔGe ratio for surround stimulation that was greater than 1; across the population, the surround-evoked ΔGi to ΔGe ratio was 0.8-1.1 under anaesthesia and a much larger 2.7-3.5 during wakefulness (p < 0.01).

Although retinotopy is the primary determinant of sensory responses in visual cortex, synaptic conductances are known to also depend on stimulus orientation[5,8,22,23]. We asked whether changing stimulus orientation would have any effect on our observations. The results echoed those described above: regardless of stimulus orientation, during wakefulness Vm responses were brief, and inhibition dominated across visual space (Supplementary Figs. 10 and 11).

Taken together, these data identify a novel characteristic of awake cortical processing— elevated and spatially extended inhibition— that is associated with more spatiotemporally selective sensory responses (Fig. 4e). While previous measurements of sensory responses in anaesthetised animals have debated the exact role of inhibition [1-5,7,8,17,22,23,25,26], our findings reveal that inhibition is a decisive factor in the awake cortex: it dominates excitation in amplitude and over time (Fig. 4b,d) and is evoked from regions of visual space that extend far beyond the central regions of the receptive field (Fig. 4e). This elevated inhibition during wakefulness is consistent with earlier suggestions[11,27,28] and reveals a regime of sensory processing that could not be observed during anaesthesia or sleep, where more balanced excitation and inhibition are evoked from large regions of space and persist long after the stimulus has disappeared. Enhanced inhibition in the awake cortex is ideally poised to extinguish any spatial or temporal spread of feedforward activity elicited by a sensory input. Accordingly, during wakefulness, we observed a brisk and highly selective impulse response to spatially localized visual stimuli.

What factors might regulate the strength of inhibition in the awake cortex? Neuromodulators can desynchronize LFP and Vm [29], depolarize interneurons[30], and alter response reliability and sensory perception[10,13,19]. It will be important to examine such factors, including the contributions of laminar connectivity and interneuron subtypes[1-4] to the elevated inhibitory conductances that we observed during wakefulness. Having identified inhibition as a major determinant of spatially selective and temporally succinct visual responses in the awake cortex, we suggest that behavioural factors such as attention and reward may also exert their influence by modulating inhibition.

Online Methods

Female C57BL6J mice aged 4-6 weeks were used in both anaesthetised and awake recordings, and all procedures were performed under license from the UK Home Office in accordance with the Animal (Scientific Procedures) Act 1986.

Recordings under anaesthesia

Anaesthesia was induced with chlorprothixene (10−5 mg kg−1 IP) and urethane (1.5 mg kg−1, 10% w/v IP; All data presented in Figs.1-4), or with chlorprothixene (as above) and isoflurane (0.25 - 1%). Atropine sulfate (0.07 mg kg−1 SC) was injected to maintain clear airways, dexamethasone (2 mg kg−1 IM) was used to prevent edema, and rimadyl (4 mg kg−1 SC) was administered as an analgesic and anti-inflammatory. Body temperature was maintained at 37.1° with a feedback regulated heating pad. A tracheotomy was performed (during urethane experiments), and animals were passively ventilated with pure O2. The stimulated eye was protected with a gas permeable contact lens. The unstimulated eye was gently sutured shut. A small headplate with chamber was implanted over monocular regions of visual cortex (0.5 mm A, 2mm L from lambda suture). Two small (<0.5 mm) craniotomies were drilled (within 200-400 μm of each other) for the separate entry of LFP and patch pipettes. A third craniotomy was drilled over anterior retrosplenial cortex for insertion of an Ag/AgCl reference wire. The dura was carefully removed just before insertion of whole-cell pipettes. Warm HEPES buffered artificial cerebrospinal fluid (aCSF, in mM: 135 NaCl, 5.4 KCl, 5 HEPES, 1 MgCl2, 1.8 CaCl2; pH 7.3) filled the chamber to prevent desiccation and maintain ionic balance.

Recordings during wakefulness

Awake mice were implanted with a lightweight headplate with chamber under isoflurane anaesthesia, and allowed to recover for two days. On the third day, animals were acclimated to head fixation for between 10-60 minutes, with sweet liquid reward given at the start and end of training. The duration of training was increased over 4-5 days until mice were sitting comfortably for 3 hours. On the day of recording, craniotomies as described above were performed under isoflurane anaesthesia, the animal was allowed to recover for 3 hours, and a single 3 hour recording session commenced. The dura was opened just before recording. Mice displayed frequent grooming, whisking, and postural adjustments during experiments. They were also given sweet liquid reward every 30 minutes to keep them comfortable and hydrated.

Recordings

Patch pipettes (4-7 MΩ) were pulled on a Narishige PC-10 and filled with (in mM): 135 K gluconate, 6 KCl, 10 HEPES, 4 MgATP, 0.3 Na2ATP, 0.1 EGTA, 8 phosphocreatine, pH adjusted to 7.3 with KOH, 290-295 mOsm. For voltage clamp recordings, K gluconate was substituted with 140 Cs+ methanesulfonate. 0.5 QX-314 and 5 TEA were included to block voltage gated Na+ and K+ conductances. While searching for neurons, diffusion of blockers was limited by using low pressures (20-30 mBar); more importantly, the LFP electrode served as an internal control for visual responsiveness. LFP response amplitudes and tuning were unaltered after using pipettes containing channel blockers.

Whole cell recordings were obtained with a MultiClamp 700B in voltage clamp mode using standard techniques[31]. Pipette capacitance was neutralized before break-in. Average seal resistances for anaesthetised and awake voltage clamp recordings were 3.8 ± 1.7 GΩ and 6.3 ± 1.3 GΩ, respectively. Seal resistances for anaesthetised and awake current clamp recordings were 4.5 ± 1.2 GΩ and 5.3 ± 1.1 GΩ, respectively. Initial access resistance ranged from 9-30 MΩ. This value generally increased within a few minutes and then stabilized. If initial access was greater than 50MΩ the recording was not included for further analysis. Access resistance during visual stimulation was not different between anaesthetised and awake recordings in current clamp (Anaesth: 36 ± 6 MΩ; Awake: 39 ± 3 MΩ) or voltage clamp (Anaesth: 38 ± 5 MΩ; Awake: 38 ± 4 MΩ). Access resistance was compensated online during voltage clamp recordings and optimized manually. Series compensation averaged 63 ± 1%, yielding an effective series resistance of 22 ± 3 MΩ and 24 ± 3 MΩ during anaesthetised and awake voltage clamp recordings, respectively. Junction potential was not corrected. Voltage division through the uncompensated series resistance was corrected offline[17].

This method limits distortion of the somatically recorded current by ongoing voltage fluctuations and membrane capacitance[5,22]; however, due to the necessity of intrinsic current blockade, it also masks potential contributions of active dendritic conductances [32]. This method also requires multiple trials and holding potentials; it thus cannot assess the simultaneous relationship of excitation and inhibition within single trials [33].

As in previous studies[2,34], to better estimate excitatory conductance we used a holding potential of about +20 mV rather than 0 mV, as this mitigates the voltage decay across the dendrites. Current clamp recordings had zero current injection during stimulation protocols. Input resistance and series resistance were monitored between protocols with current pulse trains or voltage steps. Firing rate adaptation to supra-threshold pulses and broad spike-widths confirmed that our recordings were from regular spiking pyramidal neurons[35]. Across all anaesthetised (n=22; −305 ± 27 μm) and awake (n = 30; −279 ± 27 μm) whole-cell recordings, there was no significant difference in laminar depth (p = 0.94), as estimated from the micromanipulator reading after it was zeroed upon contact with the cortical surface.

Acquisition, visual stimulation and analysis

All analyses and acquisition were performed in MATLAB. Vm was low-pass filtered at 20 kHz; during voltage clamp, Im was low-pass filtered at 2 kHz; LFP was filtered from 0.1-100 Hz. Data was acquired via a National Instruments board and was synchronized to stimulus onset by a photodiode signal.

The LCD monitor was positioned 24 cm away from the mouse and at 0° elevation and 30-45° azimuth. The azimuthal position was adjusted so that the centre of the LFP receptive field was roughly centred on the screen. Stimuli were presented on a grey background, and randomly interleaved across space, with 8 – 20 repetitions per stimulus location. A blank screen (the grey background) was randomly presented every 11 stimulus presentations, for the same duration as the stimulus trials. Stimuli were delivered monocularly. The unstimulated eye was gently sutured (anaesthetised) or shielded by black aluminium foil (awake). Throughout the entire recording session, the monitor was continuously illuminated with the same grey screen. This was to ensure that spontaneous cortical state was not affected by transitions to and from complete darkness of the monitor.

In awake recordings, upon establishing stable whole-cell configuration, 1-2 minutes of spontaneous activity was recorded before the presentation of any flashed bars. This data was used for all calculations of spontaneous activity (Figs. 1a-b, 2a-b; Supplementary Figs. 1,4); there were no systematic differences with the interleaved blank data. In some awake protocols we shortened the interstimulus interval (ISI) to 300 ms because the evoked responses returned to baseline well before this interval. There was no difference between the magnitude or duration of evoked conductances with longer (1.5 s) vs. shorter ISI (n = 3). For measurements of Vm (Figs. 2,3; Supplementary Fig. 3) any spikes were median filtered (7 ms) and the resulting trace smoothed.

In a subset of experiments, we optimized the orientation of flashed bars for each individual neuron (Fig. S10) by first presenting full screen drifting gratings (50% contrast; spatial frequency 0.03 cycles / deg; temporal frequency 2 Hz; 2s duration) varying randomly in orientation (30 degree steps). The preferred orientation was designated as the one that evoked the largest number of spikes (or largest depolarization of Vm), while the orthogonal orientation was 90 degrees away from preferred. Bars identical to all other experiments (9 degree width; 100 ms duration, 1.5 s or 0.3 s ISI) were then presented randomly across space along the two axes defined by the preferred and orthogonal orientations.

To obtain robust estimates of Vrev and ΔG during the responses, we considered the response onset as the time when ΔG was 5-10% above baseline for 10 consecutive ms. Across the population of neurons, this time point occurred 30-40 ms after stimulus onset, so Vrev, ΔG, ΔGe, and ΔGi were averaged starting 40 ms after stimulus onset, across the population (Fig. 4; n = 5 urethane anaesthesia, n = 8 awake; both groups tested identically with vertically oriented bars). Additional recordings of conductances under isoflurane anaesthesia (n = 1), and in awake mice presented bars varying in orientation (n = 4) were not included in these plots to maintain equivalent group comparison (but see Supplementary Fig. 9).

The state dependence of visual responses during anaesthesia (Fig. 2) was analysed by sorting trials (within neurons) by pre-stimulus Vm level. The upper- and lower-most quartiles (that is, the 25% most depolarized and 25% most hyperpolarized non-overlapping trials) were then averaged across the population, and largely correspond to trials when stimuli where delivered in Up versus Down states, respectively[36]. Blank stimuli were also sorted in this manner in order to estimate the spontaneous state transitions from Down to Up, and vice versa, in the absence of sensory stimulation.