Learned behaviors typically involve context-dependent processing of sensory information based on current motivation and previous experience to convert the sensory information into a useful motor output. Such learned, goal-directed sensorimotor transformations are likely to involve multiple brain areas, including the participation of distinct regions of the neocortex. It is therefore important to investigate the spatiotemporal dynamics of cortical activity during execution of a learned, goal-directed sensorimotor transformation.
Voltage-sensitive dye (VSD) imaging offers the opportunity to measure cortical spatiotemporal dynamics in vivo with approximately millisecond temporal resolution and spatial resolution, revealing highly dynamic responses to sensory stimulation with complex spatiotemporal spread.1,2 Both spontaneous and evoked VSD signals have been found to correlate well with subthreshold membrane potential fluctuations of simultaneously recorded L2/3 pyramidal neurons in vivo under anesthesia.34.5.–6 VSD imaging therefore appears to be useful for imaging the spatiotemporal dynamics of ensemble electrical activity in the mammalian neocortex.
Whisker sensation is important for rodents,7,8 and the spatiotemporal dynamics of cortical processing of whisker-related information have previously been studied extensively using VSD imaging in anesthetized animals and in awake animals not trained to perform any task.34.5.–6,910.11.12.13.188.8.131.52.18.19.–20 The deflection of a single whisker initially evokes a highly localized sensory response, mapping onto the appropriate barrel column in the primary somatosensory cortex (S1).3,5,11 However, the sensory response typically spreads over the next milliseconds, invading neighboring cortical barrel columns, depending upon stimulus strength,3,6 developmental age,21,22 ongoing spontaneous cortical activity,4 and ongoing whisker-related behavior.5,13 In addition, separate secondary hotspots of activity can be observed within tens of milliseconds of whisker deflection, including prominent depolarization of a frontal cortical region, in mouse located anterior and lateral to Bregma, the whisker motor cortex (M1).13,15,16 The sensory response in whisker M1 depends upon activity in S1 because it is almost entirely blocked by inactivating S1.13 Whisker M1 contains a functional whisker sensory map, which is compressed and mirror-reflected relative to the S1 map.13,15 Anatomically, S1 axons directly innervate M1 in a columnar somatotopic manner.13,2324.25.26.–27 Stimulation of mouse whisker M1 evokes rhythmic whisking.15,28,29 Interestingly, the apparent same brain region has been reported to relate to several other aspects of behavior, including orienting,30 licking,31 and rotor-rod performance.32
The dynamic pattern of cortical activity evoked by a sensory stimulus depends on ongoing behavior and current task requirements, and it is therefore of interest to examine the spatiotemporal dynamics of the sensorimotor cortex during task performance. Here, we imaged neocortical function using VSD during a simple sensorimotor task in which a thirsty mouse converts a single brief whisker-deflection into licking for water reward. Previous investigations of closely related whisker-dependent detection tasks have found task-dependent correlations in action potential firing and membrane potential dynamics of individual neocortical neurons recorded in S13334.35.–36 and M1,37 as well as in striatal projection neurons.38 Inactivation of S1 disrupts behavioral performance in whisker-detection tasks, reducing hit rates.33,34,39 Stimulation of S1 readily substitutes for whisker stimulation in learning and execution of this task.33 S1 therefore appears to play a critical role in the sensorimotor transformation of whisker stimulus into licking motor output. It is unlikely that whisker S1 has a direct motor function with respect to licking, and presumably S1 functions by sending signals to other parts of the brain. Indeed, S1 projects directly to many other brain regions.25 In terms of ipsilateral corticocortical connectivity, S1 prominently, directly, and reciprocally innervates S2 and whisker M1. Because of the lateral aspect of S2, in this study we were unable to image this cortical region, but all experiments included both S1 and whisker M1. Our results suggest highly distributed sensorimotor processing that depended strongly upon whisking and licking during task performance.
Materials and Methods
All experimental procedures were approved by the Swiss Federal Veterinary Office.
Animals, Surgery, and Behavioral Training
Mice were implanted with a metal head-restraint post at five to nine weeks after birth under isoflurane anesthesia. All whiskers were trimmed except for the C2 whiskers on either side. The behavioral training was carried out more or less as previously described,33,35,36,38 except that (i) in this study, we had an explicit cue from shutter and imaging light indicating trial onset and (ii) unlike in the previous studies, here we did not abort trials with prestimulus licking. Briefly, water-restricted mice were taught to associate a 1-ms magnetic pulse applied to iron particles attached to the right C2 whisker delivered 2.5 s after the trial onset cue with water availability, delivered via a reward spout. A drop of water was delivered if the mouse licked within the reward time window (0.1 to 1 s postwhisker stimulus). Catch trials (no whisker stimulus) were randomly interleaved with whisker stimulus trials to obtain the false-alarm rates. Behavioral control and behavioral data collection were carried out with custom written computer routines using an ITC18 (Instrutech) interfaced through IgorPro (Wavemetrics). After training, mice were subsequently used for a single session of VSD imaging.
Voltage-Sensitive Dye Imaging
A craniotomy over the dorsal cortex was carried out under isoflurane (1.5%) anesthesia. Extreme care was taken at all times not to damage the cortex, especially during removal of the dura. The VSD RH1691 was dissolved at in Ringer’s solution containing (in mM) 135 NaCl, 5 KCl, 5 HEPES, 1.8 , and . This dye solution was topically applied to the exposed cortex and allowed to diffuse into the cortex for 1 to 2 h. The cortex was subsequently washed to remove unbound dye and covered with 1% agarose before gluing a cover slip on top. The mouse was subsequently returned to its home cage for at least 1 h to recover. The VSD was excited with 630-nm light from a 100-W halogen lamp gated by a Uniblitz shutter (Vincent Associates) under computer control via an ITC18 (Instrutech) communicating with custom software running within IgorPro (Wavemetrics). The excitation light was reflected using a 650-nm dichroic and focused onto the cortical surface with a 50-mm camera lens (Nikon). Fluorescence was collected via the same optical pathway, but without reflection of the dichroic, long pass filtered 665 nm, and focused onto the sensor of a high-speed MiCam Ultima (Scimedia) camera via a 50-mm video lens (Navitar). This high-speed CMOS camera has a detector with . The field of view was , and therefore every pixel collected light from a cortical region of . Images were collected with 2-ms temporal resolution and analyzed offline using custom written routines in IgorPro, Python, and MATLAB®. Bleaching of fluorescence was corrected by subtraction of correct rejection trials, i.e., trials without whisker stimulation and without licking. Time courses of fluorescence changes were quantified as from regions of interest covering (corresponding to of cortex). To compare VSD signals from different animals, regions of interest were centered on the locations of the earliest responses in S1 and M1. Responses from these functionally identified regions were then compared or averaged across different experiments. The amplitudes of the early sensory-evoked responses were calculated as the change in the VSD signal () from baseline (an average of the five frames immediately before the stimulus) to the peak of the response (an average of three frames centered upon the maximum of the trial-averaged response). The amplitudes of the late response components were quantified as the change in fluorescence () comparing the average over 100 to 300 ms with the prestimulus baseline averaged across trials.
In some experiments, we used high-speed video filming to quantify whisker movements. The mouse was illuminated with infrared light and filmed through a 50-mm video lens (Navitar) with a high-speed camera (Optronis). The behavioral images were obtained at 2-ms intervals between frames synchronized to the VSD imaging through Transistor-transistor logic pulses. Custom-written routines in IgorPro were used to semiautomatically track whisker position.
All values are presented as the median together with the 25th and 75th percentiles of the distribution, except where otherwise stated. Statistical testing was carried out in IgorPro. We used the Wilcoxon signed-rank test for paired data, and the Wilcoxon–Mann–Whitney test for unpaired data. All tests were two-sided. The sensitivity index d prime () from signal detection theory was computed as (hit rate) – (false alarm rate), with the scores computed in Excel using the function NORMSINV. We applied Bonferoni’s correction for multiple comparisons, with differences being considered statistically significant for values lower than , where is the number of statistical comparisons being carried out.
Voltage-Sensitive Dye Imaging During Task Performance
Water-scheduled mice were trained to lick a water-reward spout in response to a C2 whisker deflection evoked by a 1-ms magnetic pulse acting on iron particles attached to the C2 whisker [Fig. 1(a)].33 If the mouse licked the spout within 1 s of the whisker stimulus, a water reward was delivered. The beginning of each trial was indicated by the noise of the shutter opening to illuminate the dorsal neocortex with red light 2.5 s before the whisker stimulus. Whisker stimulus and no-stimulus catch trials were randomly interleaved. After week of daily training sessions, the mice learned to lick in response to the whisker stimulus and to withhold licking on catch trials. In the last training day (the day before VSD imaging), the mice () performed with a median hit rate of 0.81 (interquartile range 0.65 to 0.85), a median false alarm rate of 0.30 (interquartile range 0.18 to 0.36), and a median of 1.38 (interquartile range 0.89 to 1.98). The cortex was then stained with VSD RH1691 and imaged in a single final behavioral session. During the imaging session, the mice () had a median hit rate of 0.41 (interquartile range 0.27 to 0.58), a median false alarm rate of 0.07 (interquartile range 0.03 to 0.09), and a median of 1.55 (interquartile range 0.80 to 1.77) [Fig. 1(b)]. VSD fluorescence was imaged with 2-ms frame rates, and we found that the spatiotemporal responses were highly variable from trial to trial [Fig. 1(c)]. We quantified single-trial response amplitudes at the time of the peak of the average evoked response (within the first 100 ms after whisker deflection) relative to prestimulus fluorescence. The coefficient of variation in single-trial in S1 was median 0.71 (interquartile range 0.59 to 0.88), and in M1 was median 1.03 (interquartile range 0.77 to 1.35) across mice (). A similar high trial-to-trial variability of the amplitude of evoked postsynaptic potentials was previously reported in whole-cell membrane potential recordings from S1 during performance of a closely related whisker-detection task.33
Hit Versus Miss Trials
Our next goal was to investigate some of the behavioral variables correlating with trial-to-trial variability. We began this analysis by distinguishing hit trials in which the mouse licked after the whisker stimulus from miss trials in which the mouse did not lick after the whisker stimulus (Fig. 2). To help separate sensory and motor components, in this study, we specifically analyzed hit trials in which the reaction time was longer than 300 ms. This included 71% of all hit trials, with 29% of hit trials being excluded because of reaction times below 300 ms. However, analysis of all hit trials pooled together irrespective of reaction time gave essentially the same results.
In data from individual mice [Fig. 2(a)] and in the grand average data with images spatially aligned to the C2 whisker representation [Fig. 2(b)], the earliest components of the sensory response appeared to be similar between hit and miss trials. The initial response was a highly localized depolarization in S1 (see imaging frame at 16 ms after C2 whisker deflection). Over the next milliseconds, the response spread within S1 and initiated a secondary hotspot of depolarization in M1 (see imaging frame at 32 ms after C2 whisker deflection). The early response was quantified as the peak change in VSD fluorescence () over the first 100 ms after C2 whisker deflection compared to the baseline fluorescence immediately before whisker stimulation averaged across trials. The ratio of the amplitude of the early sensory response for hit and miss trials was computed for each mouse, and median values were calculated across mice. The median hit-to-miss ratio for the early response in S1 was 1.19 (interquartile range 0.91 to 1.42), and for M1, it was 1.35 (interquartile range 0.93 to 1.72) ( mice) [Fig. 2(c)]. On average, for each mouse, we analyzed 38 hit trials and 75 miss trials ( mice).
A difference between hit and miss trials became obvious at times later than 100 ms after the whisker stimulus, with the VSD response distributed across a large area of the dorsal mouse neocortex, as seen in both individual mice [Fig. 2(a)] and the grand average [Fig. 2(b)] (see imaging frames at 150 and 250 ms after C2 whisker deflection). The late response was quantified as the change in fluorescence () comparing the average over 100 to 300 ms with the prestimulus baseline averaged across trials. The median late hit-to-miss ratio was 1.81 (interquartile range 1.32 to 3.14) in S1 and 2.80 (interquartile range 2.06 to 3.73) in M1 [Fig. 2(c)]. The late hit-to-miss ratio was significantly larger than the early hit-to-miss ratio for both S1 () and M1 () [Fig. 2(c)].
We also computed the hit-to-miss ratio of the grand average VSD responses for each pixel at both early and late times [Fig. 2(d)]. The hit-to-miss ratio map indicated that the early evoked VSD response averaged over 10 to 50 ms after whisker stimulus was close to unity across the dorsal neocortex [Fig. 2(d)]. The hit-to-miss ratio computed across the grand average responses from 100 to 300 ms after whisker stimulus showed that late sensorimotor depolarization was considerably larger in hit trials than miss trials across the entire dorsal neocortex [Fig. 2(d)]. The late hit-to-miss ratio had a clear spatial pattern, with the smallest values in the neighborhood of S1 and the largest values in frontal regions. In particular, the highest hit-to-miss ratios appeared to localize to regions anterior, medial, and lateral to whisker M1. Thus, whereas the initial response of the dorsal neocortex showed little difference comparing hit and miss trials, at later times, the neocortex was much more depolarized in hit trials compared to miss trials, with the largest hit-related excitation in frontal cortical regions.
Impact of Prestimulus Whisking on Behavioral Performance
Ongoing whisker-related behavior has been shown to make a major impact upon responses evoked by whisker stimulation in previous membrane potential recordings of individual layer 2/3 neurons27,40 and also in previous VSD imaging studies.5,13 In a subset of experiments, we therefore filmed C2 whisker movements during task performance with a high-speed camera at 500 Hz, matched frame by frame to the VSD imaging. The whisker movements were subsequently tracked offline by semiautomated procedures.
As shown in the example traces, prestimulus whisking was largely absent on hit trials but was prominent in some miss trials [Fig. 3(a)]. We quantified whisking as the standard deviation (SD) of whisker angle in 100 ms bins. The grand average SD of whisker angle was larger in miss than hit trials at all times quantified from immediately after the audiovisual cue (indicating trial initiation) until the time of the whisker stimulus 2.5 s later [Fig. 3(b)]. Hit trials therefore appeared to be associated with less whisker movement in the period between the cue and the whisker stimulus. For statistical analysis, we computed the SD of C2 whisker angle over the first 500 ms after cue presentation (postcue) and for the 500 ms immediately preceding the whisker stimulus (prestim) for each mouse, separating between hit and miss trials. Hit trials had a postcue median whisker angle SD of 1.35 deg (interquartile range 0.99 to 2.04 deg). Miss trials had a postcue median whisker angle SD of 3.16 deg (interquartile range 2.13 to 3.37 deg). Hit trials had a prestim median whisker angle SD 0.74 deg (interquartile range 0.66 to 0.81 deg). Miss trials had a prestim median whisker angle SD of 2.49 deg (interquartile range 1.30 to 2.82 deg). Hit trials had significantly less whisking than miss trials in both postcue () and prestim () periods [Fig. 3(c)]. There was a significant reduction in whisking in the prestim period compared to the postcue period in both hit () and miss () trials [Fig. 3(c)].
We classified trials into prestimulus whisking or prestimulus quiet (nonwhisking) using a threshold of 2 deg of whisker angle SD in the 500-ms prestimulus period. Using this criterion, 29% of trials had prestimulus whisking. In prestimulus quiet trials, the median hit rate was 57% (interquartile range 46% to 69%) [Fig. 3(d)]. In prestimulus whisking trials, the median hit rate was 32% (interquartile range 18% to 44%) [Fig. 3(d)]. The hit rate in prestimulus whisking trials was significantly lower than the hit rate in prestimulus quiet trials (). Prestimulus whisking therefore appears to cause a substantial reduction in behavioral performance in this whisker-deflection detection task.
Impact of Prestimulus Whisking on Voltage-Sensitive Dye Responses
We next investigated the impact of prestimulus whisking on the evoked VSD responses, comparing hit and miss trials with and without prestimulus whisking (Fig. 4). On average, for each mouse, we analyzed 42 prestimulus quiet hit trials, 12 prestimulus whisking hit trials, 35 prestimulus quiet miss trials, and 19 prestimulus whisking miss trials ( mice). The grand average early response over the first 100 ms after the C2 whisker deflection appeared similar for prestimulus-quiet hit and prestimulus-quiet miss trials [Fig. 4(a)]. At later times, prestimulus-quiet hit trials appeared to be more depolarized compared to prestimulus-quiet miss trials. Prestimulus-whisking trials in general appeared to have smaller-amplitude early responses, with prestimulus-whisking miss trials appearing to have responses of smaller amplitude and shorter duration with a lesser spatial extent. At later times, prestimulus-whisking hit trials appeared more depolarized than prestimulus-whisking miss trials.
We found that the early evoked response in S1 was significantly smaller in prestimulus-whisking miss trials compared to both prestimulus-quiet hit () and prestimulus-quiet miss () trials [Fig. 4(b)]. Similarly, the early evoked response in M1 was also significantly smaller in prestimulus-whisking miss trials compared to both prestimulus-quiet hit () and prestimulus-quiet miss () trials [Fig. 4(b)]. The median values and interquartile ranges are given in Table 1.
Prestimulus whisking versus quiet, and hit versus miss trials for S1 and M1 at early and late times. Data for Fig. 4.
|Cortical region||Prestimulus quiet or whisking?||Hit or miss?||Early peak 0 to 100 ms: median ΔF/F0 (IQR)||Average late 100 to 300 ms: median ΔF/F0 (IQR)|
|S1||Quiet||Hit||0.25% (0.17% to 0.37%)||0.11% (0.08% to 0.14%)|
|S1||Quiet||Miss||0.22% (0.16% to 0.34%)||0.06% (0.04% to 0.11%)|
|S1||Whisking||Hit||0.21% (0.14% to 0.37%)||0.09% (0.05% to 0.12%)|
|S1||Whisking||Miss||0.15% (0.10% to 0.21%)||0.03% (0.00% to 0.04%)|
|M1||Quiet||Hit||0.20% (0.09% to 0.47%)||0.10% (0.08% to 0.17%)|
|M1||Quiet||Miss||0.19% (0.10% to 0.40%)||0.07% (0.04% to 0.10%)|
|M1||Whisking||Hit||0.23% (0.07% to 0.34%)||0.12% (0.08% to 0.18%)|
|M1||Whisking||Miss||0.09% (0.08% to 0.16%)||0.03% (0.00% to 0.04%)|
In the late period of the sensorimotor response (100 to 300 ms after whisker stimulus), there were many significant differences in S1 comparing the four trial types [Fig. 4(c)]. Hit trials had significantly larger late depolarization compared to miss trials for both prestimulus-quiet () and prestimulus-whisking () conditions. Miss trials with prestimulus-whisking had significantly less late depolarization than both hit () and miss () prestimulus-quiet trials. The late response in M1 was significantly smaller in prestimulus-whisking miss trials compared to hit trials of both prestimulus-whisking () and prestimulus-quiet () trial types. The median values and interquartile ranges are given in Table 1.
Prestimulus whisking correlates with increased miss rates, and, in these miss trials, small responses are evoked by C2 whisker deflection at both early and late times in both S1 and M1.
In a previous study of a closely related whisker detection task, mice were found to protract their whiskers rhythmically after the whisker stimulus in all hit trials.33 However, in prestimulus-quiet miss trials, the mouse does not necessarily make whisker movements after the whisker stimulus. We therefore compared three trial types of VSD responses: (i) prestimulus-quiet hit trials in which the mouse would always initiate poststimulus whisking, (ii) prestimulus-quiet miss trials in which the mouse would initiate poststimulus whisking, and (iii) prestimulus-quiet miss trials in which the mouse remained quiet (not moving its whiskers) after the whisker stimulus. On average, for each mouse, we analyzed prestimulus quiet trials for 42 hit trials with poststimulus whisking, 20 miss trials with poststimulus whisking, and 15 miss trials without poststimulus whisking ( mice). The grand average responses appeared to indicate that poststimulus-quiet miss trials were accompanied by smaller, shorter, and more localized sensory responses compared to poststimulus-whisking trials [Fig. 5(a)]. The largest early responses appeared to occur in miss trials with poststimulus whisking, whereas the largest late responses appeared to occur in hit trials [Fig. 5(a)].
For the early sensory response in S1, statistical analysis revealed that poststimulus-quiet miss trials had significantly smaller responses than hit trials (). In M1, the early sensory response was significantly larger in trials with poststimulus whisking compared to poststimulus-quiet trials (hit with poststimulus whisking versus miss with poststimulus quiet, ; miss with poststimulus whisking versus miss with poststimulus quiet, ) [Fig. 5(b)]. The median values and interquartile ranges are given in Table 2.
Poststimulus whisking versus quiet, and hit versus miss trials for S1 and M1 at early and late times. Data for Fig. 5.
|Cortical region||Prestimulus quiet or whisking?||Hit or miss?||Poststimulus quiet or whisking?||Early peak 0 to 100 ms: median ΔF/F0 (IQR)||Average late 100 to 300 ms: median ΔF/F0 (IQR)|
|S1||Quiet||Hit||Whisking||0.22% (0.18% to 0.28%)||0.11% (0.07% to 0.13%)|
|S1||Quiet||Miss||Whisking||0.26% (0.18% to 0.32%)||0.07% (0.03% to 0.10%)|
|S1||Quiet||Miss||Quiet||0.16% (0.12% to 0.22%)||0.03% (0.01% to 0.06%)|
|M1||Quiet||Hit||Whisking||0.18% (0.12% to 0.30%)||0.09% (0.07% to 0.15%)|
|M1||Quiet||Miss||Whisking||0.28% (0.16% to 0.43%)||0.06% (0.02% to 0.09%)|
|M1||Quiet||Miss||Quiet||0.06% (0.05% to 0.14%)||0.03% (0.00% to 0.04%)|
At late times (100 to 300 ms after whisker stimulus), prestimulus-quiet miss trials without poststimulus whisking had significantly smaller depolarization compared to hit trials in both S1 () and M1 () [Fig. 5(c)]. The median values and interquartile ranges are given in Table 2.
The presence or absence of poststimulus whisking in miss trials therefore correlates with important differences in the spatiotemporal dynamics of cortical activity.
Through VSD imaging of the dorsal mouse neocortex, we found highly distributed and dynamic sensorimotor processing of a whisker stimulus and its conversion into licking motor output for reward. Sensorimotor processing differed strongly during late periods of hit versus miss trials. Prestimulus whisking suppressed sensorimotor responses to whisker stimulation and reduced hit rates. In some trials, the mouse did not lick or move its whiskers, and these trials also had small responses to whisker stimulation. Our analysis therefore begins to reveal behavioral correlates of sensorimotor processing in dorsal mouse neocortex during execution of a simple whisker detection task.
Comparison with Naïve Mice
The spatiotemporal dynamics of the early VSD response over the first 100 ms after deflection of the C2 whisker during task performance in mice after learning was qualitatively similar to previous results obtained in naïve awake mice adapted to head restraint but not carrying out any task.13 In naïve mice, we found early localized responses in S1, which spread within S1 and S2, followed by excitation of the frontal wM1 region,13 similar to the pattern of activity observed here in task-performing mice (Fig. 2). Furthermore, sensory responses were reduced in amplitude when naïve mice were whisking during stimulus delivery,13 just as we observed here in the task-performing mice (Fig. 4). When naïve mice actively moved their whiskers immediately after whisker deflection, there were larger responses in both S1 and M1 compared to trials without such sensory-evoked whisker movements.13 Similarly, in task-performing mice, there was also more activity across the neocortex in trials with sensory-evoked licking (Fig. 2). However, at times longer than 100 ms after whisker deflection, the VSD responses of naïve and trained mice were qualitatively different, with only trained mice exhibiting the prolonged highly distributed licking-related activity in hit trials across sensorimotor cortex.
Differential Sensorimotor Processing in Hit Versus Miss Trials
During the VSD imaging, the 1-ms deflection of the C2 whisker evoked licking to obtain a reward in 41% of trials, whereas in trials without whisker stimulus, mice only licked on 7% of trials for which they were not rewarded. Mice therefore discriminated trials with and without whisker stimulus, giving rise to a of 1.55. The largest differences between the VSD responses in hit and miss trials were at late times, more than 100 ms after whisker stimulus [Fig. 2(c)]. This is in agreement with previous data from membrane potential recordings in S1 during closely related whisker detection tasks.33,34,36 Within the imaged portion of the contralateral dorsal neocortex, the largest hit versus miss differences were located in the frontal cortex in regions surrounding whisker M1, located at anterior and lateral to Bregma [Fig. 2(d)]. The frontal region showing strong hit versus miss differences may include a neocortical region involved in goal-directed licking, the anterior lateral motor cortex, which is located at anterior and lateral to Bregma,41,42 although this region was often located close to the edge of our craniotomy. The quantification of the late response was carried out from 100 to 300 ms, preceding the 300-ms minimum first lick response time included in our analyses. The excitation of frontal tongue/jaw-related motor/premotor areas might therefore causally contribute to driving the licking motor output in our task, and future experiments should directly investigate these cortical regions in detail. However, it is important to note that all regions of the dorsal neocortex included in our imaging experiments were more depolarized in general in hit compared to miss trials, so many cortical regions might contribute to generating the licking motor command necessary for hit trials. A key future experiment will therefore be to inactivate many different cortical regions and examine the impact upon task performance, as recently carried out in a whisker object localization task.41,43 It will be equally important to investigate where in the cortex one can stimulate to substitute for whisker stimulation in our whisker detection task. So far, it has been reported that optogenetic stimulation of S1 can substitute for whisker stimulation in both learning and execution of the task.33 It will be of great interest to quantitatively map the ability to evoke licking across many neocortical areas in trained mice. Such future experiments will suggest necessary and sufficient maps of cortical activity for performing the detection task, which would form an important complement to the correlational data of this study.
Whisking-Related Modulation of Behavioral Performance and Sensorimotor Processing
Previous studies have noted that passive whisker deflections give rise to bigger sensory evoked responses in S1 when the animal is in a quiet state without whisker movements compared to the response evoked by the same peripheral stimulus delivered when the animal is actively moving its whiskers.5,13,27,40,44 Our results now further reveal that whisking appears to reduce performance in a whisker stimulus detection task with perceived stimuli reported through goal-directed licking. The hit rate for prestimulus quiet trials was 57%, but in prestimulus whisking trials, it was reduced to only 32% [Fig. 3(d)]. Mice reduced whisking in the 500-ms prestimulus period compared to the 500-ms postcue period [Fig. 3(c)], perhaps enhancing stimulus perception, and suggesting that the audiovisual cue could have provided the mouse with information about the timing of expected whisker stimuli. It is also possible that the audiovisual cue itself induced transient whisking, but we cannot directly address this since we did not film whisker movements before cue onset. In the future, it will be of great interest to explicitly manipulate cue timing and saliency and study the effects upon psychophysical thresholds for performance in the detection task across different whisker stimulus intensities.
Prestimulus whisking increased the fraction of miss trials. In these prestimulus whisking miss trials, the early sensory evoked response in both S1 and M1 was small in amplitude, duration, and spatial extent (Fig. 4). The increased probability of failing to lick in response to whisker stimulus in prestimulus whisking trials may therefore result from the weaker depolarization being unable to drive sufficient numbers of action potentials in the appropriate neurons in the neuronal networks underlying the sensorimotor transformation of whisker stimulus into licking motor output.
That prestimulus whisking trials had smaller amplitude responses and were associated with decreased hit rates likely contributes to the grand average hit versus miss comparison (Fig. 2), in which the early response over the first 100 ms after the C2 whisker stimulus was slightly larger on average in hit compared to miss trials, with a 19% larger early response in S1 and a 35% larger early response in M1. Similarly, a slightly larger early sensory-evoked response in hit trials compared to miss trials was previously reported in single-cell electrophysiological measurements from S1 during similar whisker detection tasks.34,36 Prestimulus whisking might also have contributed to miss trials in these previous studies. However, there are likely to be many different ways in which the neuronal networks contributing to the transformation of the whisker stimulus into a licking motor command might fail in miss trials.
Voltage-Sensitive Dye Imaging—Technical Considerations
In this study, we applied VSD RH1691 to the dorsal mouse neocortex to image cortical spatiotemporal dynamics during task performance. This technique provides interesting data on the spatiotemporal dynamics of cortical activity on the millisecond timescale. However, VSD imaging as applied in this study also has many limitations. Most importantly, the technique is highly invasive, requiring large craniotomies and long staining periods after dura removal. The difficulty in obtaining a good preparation for imaging and also subsequently having good performance in the detection task severely limited our dataset. Mice appeared to be less motivated to lick during the imaging session compared to the previous training day, with reduced hit rates and reduced false-alarm rates, which resulted in little change to . In the future, it will be of great interest to image cortical dynamics with genetically encoded fluorescent voltage sensors, which have recently been improving significantly.4546.47.–48 Such genetically encoded sensors would allow longitudinal imaging during task learning and measurement from specific genetically defined populations of neurons. In the near future, it is therefore likely that we will learn much more about the spatiotemporal dynamics of cortical activity in specific cell types during specific behaviors.
Large-areas of dorsal neocortex depolarize in a highly dynamic spatiotemporal pattern during the execution of a simple goal-directed sensorimotor task in which a mouse converts the 1-ms deflection of the C2 whisker into licking motor output to receive a water reward. Future experiments must investigate in which way these patterns of neocortical activity participate causally in task execution and learning.
This work was funded by grants from the European Molecular Biology Organization (AK), Human Frontier Science Program Long-Term Fellowship (AK), Human Frontier Science Program Grant (CCHP), Swiss National Science Foundation (CCHP), SystemsX.ch (CCHP), and European Research Council (CCHP). The authors declare that they have no conflicts of interest.
Alexandros Kyriakatos obtained his Bachelor of Arts and Sciences in psychology from the American College of Greece. He obtained his PhD in neuroscience from Karolinska Institute, Sweden, investigating neuromodulation of spinal locomotor networks. As a postdoctoral fellow, he then joined the laboratory of Prof. Carl Petersen at the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland to investigate cortical sensorimotor processing in mice using voltage-sensitive dye imaging.
Vijay Sadashivaiah received his bachelor’s degree in electrical engineering from PES University (India) in 2015. He participated in the Summer Research Program at the Ecole Polytechnique Federale de Lausanne in Switzerland and afterward joined the Graduate School of Biomedical Engineering at Johns Hopkins University, where he is currently a master’s student. He is an active member of the Biomedical Engineering Society and Institute of Electrical and Electronics Engineers.
Yifei Zhang received his Bachelor of Engineering degree from Tsinghua University, China, in 2013, and his Master of Science degree from the EPFL, Switzerland, in 2016.
Alessandro Motta received his bachelor’s degree in 2014 and his master’s degree in 2016, both in life sciences from EPFL, Switzerland.
Matthieu Auffret is a PhD student in the Laboratory of Sensory Processing headed by Prof. Carl Petersen at the EPFL, Switzerland. His work focuses on large-scale sensory-motor integration in mouse cortex. He received his bachelor’s degree in life sciences in 2011 and his master’s degree in bioengineering in 2013, both from the EPFL, Switzerland. He performed his master’s project at Harvard University studying low-field MRI.
Carl C. H. Petersen is professor of neuroscience at the EPFL, Switzerland, where he investigates sensory perception in mice using electrophysiological and optical techniques. He investigated calcium signaling during his PhD in Cambridge, UK, supervised by Prof. Sir Michael Berridge. Then he trained in neurophysiology with Prof. Roger Nicoll at the University of California San Francisco, USA, and Prof. Bert Sakmann at the Max Planck Institute for Medical Research in Heidelberg, Germany.