Previous studies have reported that the mirror neuron system plays a crucial role in social cognition. We examined whether the higher-order cognitive functions are involved in the activations in the mirror neuron area when we perceive simplified pseudo-postures. We measured 14 participants’ brain activation during the posture-recognition task using near-infrared spectroscopy. The participants’ task was to observe five sequentially presented target pseudo-postures and judge whether a test pseudo-posture was identical to one of the preceding five target pseudo-postures. The results in the majority of participants (<i>n</i> = 10/14) revealed that the activity in the inferior frontal mirror neuron area is modulated by perception of human-likeness, but not in the remaining four participants (<i>n</i> = 4/14). These results suggest that the degree of the activation of higher-order cognitive functions, which may be engaged in the inhibitory and/or facilitative processing of human body or bodily movement, leads to the distinctive activities in the inferior frontal mirror neuron area.
Previous studies have reported that when we observe somebody else executing an action, many areas of our own motor systems are activated. Functional magnetic resonance imaging (fMRI) studies have reported such activations in the ventral and dorsal premotor cortices, inferior parietal lobule, and primary motor cortex [
Recent studies indicate that some inhibitory mechanism is required to control automatic activity of MNS [
Thus, some studies have reported that the activation of these higher-order cognitive functions leads to differences in activities of MNS when the stimuli are not ambiguous such as grasping actions. However, it is still controversial whether the activities in MNS more sensitively reflect degree of engagement of higher-order cognitive functions when stimuli are ambiguous such as incomplete human-like objects. The first aim of the present study was to investigate the influence of higher-order cognitive functions on the activities in the fronto-parietal mirror neuron circuit during perception of more abstract and ambiguous postures (i.e., simplified pseudo-postures) that elicit a variety of interpretations.
Although it is widely acknowledged that the MNS is involved in action perception, it is not clear whether activity within the MNS depends on a tight match between actor and observer in terms of their forms-human versus robot [
Previous studies have shown that the fronto-parietal mirror neuron circuit responds not only to full displays of body actions, but also to point-light displays of human actions [
However, it is still not clear how higher-order cognitive functions such as cognitive control or a tendency of retrieving the conceptual knowledge of human body posture or bodily movement affect activity in the MNS. The present study was designed to address this issue by using the posture recognition task similar to Ito et al. [
list of five asymmetrical face-to-face target pseudo-postures sequentially presented and to judge whether a test pseudo-posture was identical to one of these preceding target postures. In the posture recognition task, complexities of the kinematic relation between the neighboring pseudo-postures were manipulated as a function of the number of joints responsible for a postural change between the neighboring pseudo-postures. The stimulus lists consisted of five target pseudo-postures that varied in the number of joints (one vs. four), named 1-step and 4-step conditions. The 1-step condition produced a smaller number of postural changes between a preceding pseudo-posture and a subsequent pseudo-posture, while the 4-step condition produced a larger number of postural changes. In the 4-step condition, the four joints varied simultaneously between a preceding pseudo-posture and a subsequent pseudo-posture. If the five target pseudo-postures are processed independently, there should be no difference in the recognition performances and brain activities between the 1-step and 4-step conditions.
We used this posture recognition task in order to investigate the influence of higher-order cognitive functions on the activities in the fronto-parietal mirror neuron circuit during the perception of the pseudo-postures. In the present study, we measured brain activation during the posture recognition task using near-infrared spectroscopy (NIRS). Our main aim in the experiment was to investigate whether the activity in MNS is affected by the degree of the activation of higher-order cognitive functions that are involved in visual perception of human body postures and bodily movement. In order to determine this, we examined the activities in the frontal mirror neuron area (the lower part of the precentral gyrus and the posterior part of the inferior frotal gyrus) during the perception of sequentially presented pseudo-postures.
In this experiment, we also focused on the intrusion of verbal encoding, i.e., the activations in the inferior frontal mirror neuron area might be caused by subvocalization during the observation of pseudo-postures. In order to test the effects of subvocalization, the observation of pseudo-postures was contrasted with two types of novel contour shapes that were covertly easy versus difficult to name as a control condition. We predict that a relatively higher activation in the posterior part of the left superior temporal gyrus and the angular gyrus (agreeing with the location of Wernicke’s area) may be observed due to the covert naming when the novel contour shapes are likely to be easily named [
We employed multichannel NIRS to measure the brain activity in the left frontal, left temporal, and occipital cortices. NIRS is a noninvasive neuroimaging method that measures cortical haemodynamic responses by using near-infrared light emitted from the emitter optodes placed on a person’s head [
Fourteen healthy right-handed (under) graduate students (6 males and 8 females; age: 18 to 27 years) from Nagoya University (Nagoya, Japan) participated in the experiment for pay. Written informed consent was obtained from all participants. All participants were native Japanese and naive to the purpose of the study, which was approved by the local ethics committee of the department of cognitive informatics at Nagoya University.
Endo, Saiki, Nakao, and Saito [
Endo and his colleagues estimated the association values of the 60 novel contour shapes in their preliminary study [
The target lists used in this experiment consisted of five novel contour shapes that were selected on the basis of the combinations of the easy-to-name shapes or the combinations of the difficult-to-name shapes. These easy- to-name and difficult-to-name shapes were not mixed within a target list. We designated the two picture-naming conditions for easy-to-name and difficult-to-name shapes as easy and difficult conditions, respectively.
The human posture used in Ito et al. [
The number of joints functioning during the changes between a preceding pseudo-posture and the subsequent pseudo-posture was calculated for any combination of 2 pseudo-postures from 68 basic pseudo-postures. The minimum number of joints was one, while the maximum number was four. We obtained 720 combinations of one joint, and 1024 combinations of four joints. The target lists consisted of five pseudo-postures that were selected from the combinations of one or four joints. We designated the joint conditions for one joint and four joints as the 1-step and 4-step conditions, respectively.
The novel contour shapes and pseudo-postures were displayed on a 17-inch monitor located at a distance of approximately 50 cm. All stimuli fit within the area of 8.5 × 7 cm on the monitor. None of the stimuli in a target list were used twice in the same target list.
The participants were presented two kinds of visual stimuli, i.e., novel contour shapes and pseudo-postures. Each stimulus type was run in a separate block. We used the ease of picture-naming in the novel contour shape condition (i.e., easy and difficult) and the number of steps in the pseudo-posture condition (i.e., one and four steps) as the independent variables.
The participants were tested individually. They were seated comfortably and asked to observe sequentially presented stimuli (novel contour shapes or pseudo-postures) and to judge whether a test stimulus was identical to one of the preceding five target stimuli. One experimental trial consisted of three experimental phases, i.e., study phase, test phase, and confidence judgment phase.
In the study phase, each trial was begun by presenting a white fixation point on a black background for 1 s, followed by a blank interval of 1 s with the presentation of the first target stimulus. The first target stimulus was presented for 1 s. A blank screen was displayed for 1 s, followed by the second target stimulus presented for the same duration as the first. Thus, both the stimulus duration and the stimulus onset asynchrony were 1 s. The fixation point and the target stimuli were displayed 8.5 cm to the left of the center of the screen. The participants were instructed to observe the sequentially presented stimuli and memorize them.
In the test phase, the fixation point was displayed for 1 s, followed by a blank interval of 1 s. Then, a test stimulus was presented until the participants responded. The fixation point and test stimulus were displayed 8.5 cm to the right from the center of the screen in order to eliminate the effect of the afterimage of the target stimuli on the screen. The task of the participants was to make a recognition judgment (yes or no) for the test stimulus. They were asked to press the “Y” key with the right index finger when the test stimulus was presented in the study phase, and to press the “N” key with the left index finger when it was not presented. They were encouraged to respond as quickly and accurately as possible. Participants were not given feedback on whether their response was correct or not.
In the confidence judgment phase, the participants were asked to rate the degree of their confidence in recognizing the answer being correct on a 4-point scale (from 1 = the least confident to 4 = the most confident). This confidence judgment was used for motivation to attend to the recognition task. After responding, participants were given an inter-trial interval of 10 s.
Prior to participating in the experimental trials, each participant completed a block of 12 practice trials. In the practice trials, the participants were asked to perform recognition after the presentation of digits from one to nine instead of novel contour shapes or pseudo-postures. The experimental session consisted of two blocks. Each stimulus type was run in a separate block. The two experimental blocks were fixed in an order of the novel contour shape and then pseudo-posture condition across participants. The first and second experimental blocks consisted of 12 trials in each block. The order of the easy and difficult conditions was counterbalanced across participants. In each picture-naming condition, half of the trials were assigned to the positive set in which a positive response was required, and the other half were assigned to the negative set in which a negative response was required. The positive/negative set was randomized within each picture-naming condition across participants. The order of the 1-step/4-step conditions and the number of positive/negative sets in the pseudo-posture condition were prepared in the same manner as those in the novel contour shape condition. After each experimental block there is a 2 minute rest period. The experimental session lasted for approximately 30 minutes.
After the recognition task, participants were given a questionnaire to report whether they had considered the pseudo-postures as the human postures or not. And then they were interviewed by one of the authors.
A 24-channel NIRS unit operated at 780 and 830 nm wavelengths (ETG-100; Hitachi Medical Co., Tokyo, Japan) was used to measure the temporal changes in oxygenated haemoglobin (oxy-Hb), deoxygenated haemoglobin (deoxy-Hb), and total haemoglobin (total-Hb) concentrations. Nine optodes were placed on the left temporal and occipital regions in a lattice pattern to form 12 channels for each region (6 × 6 cm). The middle optode in the lowest line on the left side was located on the nearby T3 position (according to the international 10 - 20 system for electroencephalogram recording). The center column of the optodes on the occipital region was adjusted to align with the inion (
We focused on the oxy-Hb concentration changes during the recognition task because oxy-Hb is the most sensitive parameter of regional cerebral blood flow [
All statistical analysis was carried out by Statistical Packages for Social Sciences (SPSS 19; IBM, Tokyo, Japan). The overall average hit rate in the novel contour shape condition (easy: 86%; difficult: 81%) and that in the pseudo-posture condition (1-step: 76%; 4-step: 83%) were higher than the 50% chance level. The proportions of hits were entered into a one-way ANOVA with the ease of picture-naming in the novel contour shape condition (easy and difficult) as the within-subject factor, and the number of steps in the pseudo-posture condition (1-step and 4-step) as the within-subject factor, independently. There were no significant main effects for the ease of picture-naming (F < 1) or the number of steps (F(1, 13) = 1.27, ns).
The overall average correct rejection rates in the novel contour shape condition (easy: 88%; difficult: 95%) and that in the pseudo-posture condition (1-step: 67%; 4-step: 90%) were higher than the 50% chance level. The proportions of correct rejections were entered into a one-way ANOVA with the ease of picture-naming in the novel contour shape condition (easy and difficult) as the within-subject factor, and the number of steps in the pseudo-posture condition (1-step and 4-step) as the within-subject factor, independently. There was no significant main effect for the ease of picture-naming (F(1, 13) = 1.01, ns). On the other hand, there was a significant main effect for the number of steps (F(1, 13) = 6.19, p < 0.05). This main effect of the number of steps was due to the high correct rejection rate under the 4-step condition as compared to that under the 1-step condition. These results in the step condition are consistent with the results in Ito et al. [
The experimental trials associated with incorrect responses (i.e., miss or false alarm) were excluded from further analysis. We analyzed the experimental trials associated with correct responses (i.e., hit or correct rejection). We analyzed the group-averaged values of the z-scores for oxy-Hb concentration changes during each period except the pre-task period, that is, from the first-fixation period to the second-post-task period (the 11 measurement periods). To compare the brain activity in the easy and difficult conditions, we conducted a two-way repeated- measures ANOVA [2 (easy and difficult) × 11 (measurement periods)] of the z-scores for each channel. To avoid the effect caused by multiple comparisons, an α level of <0.05 after Shaffer’s modified sequentially rejective Bonferroni correction for multiple comparisons (hereafter, Shaffer’s modified Bonferroni correction) was used to identify significant associations. We focused on the channels that showed a significant main effect of the ease of picture-naming, and an interaction between the picture-naming condition and the period because we presumed that the cortical haemodynamic responses would be modulated by the ease of picture-naming.
In the left temporal region, we found significant main effects of the ease of picture-naming in channels 5, 7, and 10 (F(1, 13) = 14.44, p < 0.01; F(1, 13) = 6.40, p < 0.05; F(1, 13) = 8.92, p < 0.05, respectively), and significant interactions between the picture-naming condition and period in channels 1 and 9 (F(10, 130) = 2.05, p < 0.05; F(10, 130) = 2.39, p < 0.05, respectively). Post-hoc comparisons using Shaffer’s modified Bonferroni correction revealed that these interactions were due to the large responses under the easy condition as compared to those under the difficult condition during the target-presentation period (p < 0.05).
On the other hand, in the occipital region, we found significant main effects of the ease of picture-naming in channels 13, 15, 20, 21, and 24 (F(1, 13) = 6.00, p < 0.05; F(1, 13) = 6.37, p < 0.05; F(1, 13) = 5.99, p < 0.05; F(1, 13) = 4.87, p < 0.05; F(1, 13) = 9.63, p < 0.01, respectively), and significant interactions between the picture-naming condition and period in channels 13, 15, 16, 20, 22, 23, and 24 (F(10, 130) = 2.09, p < 0.05; F(10, 130) = 2.25, p < 0.05; F(10, 130) = 2.34, p < 0.05; F(10, 130) = 2.00, p < 0.05; F(10, 130) = 2.07, p < 0.05; F(10, 130) = 3.00, p < 0.01; F(10, 130) = 3.46, p < 0.01, respectively). Post-hoc comparisons using Shaffer’s modified Bonferroni correction revealed that these interactions were due to the large responses under the easy condition as compared to those under the difficult condition during the period from target-presentation to confidence-judgment (p < 0.05). Taken together, in all the channels that showed significant differences between the easy and difficult conditions, the oxy-Hb concentrations under the easy condition were higher than those under the difficult condition. We found that higher activation occurs in the left temporal region (channels 5, 7, 9, and 10) and the occipital region (channels 13, 15, 16, 20, 21, 22, 23, and 24) during the observation of novel contour shapes in the easy condition than in the difficult condition.
Based on the three-dimensional probabilistic anatomical craniocerebral correlation [
encoding [
We presumed that the channels 13, 15, 16, 20, 21, 22, 23, and 24 roughly cover the occipital lobe. The results in the novel contour shape condition showed that the occipital visual cortex is activated during the observation of easy-to-name shapes. We can now interpret the activation of the occipital cortex as due to the visual pro- cessing related to the picture-naming in which a visual representation of the object is computed from the visual image.
To compare the brain activity in the 1-step and 4-step conditions, we conducted a two-way repeated-measures ANOVA [2 (1-step and 4-step) × 11 (measurement periods)] of the z-scores on each channel. We focused on the channels that showed a significant main effect of the step number and interaction between the step condition and the period because we presumed that the cortical haemodynamic responses would be modulated by the number of steps.
In the left temporal region, we found significant main effects of the step number in channel 1 (F(1, 13) = 6.49, p < 0.05), and interactions between the step condition and period in channels 6 and 8 (F(10, 130) = 2.16, p < 0.05; F(10, 130) = 2.87, p < 0.01, respectively). On the other hand, there were no significant main effects of the step number and interactions in the occipital region. Post-hoc comparisons using Shaffer’s modified Bonferroni correction revealed that these interactions were due to the large responses under the 4-step condition as compared to those under the 1-step condition during the post-task periods both in channel 6 and 8 (p < 0.05), while the interaction in channel 6 was also due to the large response under the 1-step condition as compared to that under the 4-step condition during the target-presentation period (p < 0.05). Focusing on the brain activity during the target presentation period, higher activation occurred under the 1-step condition in channel 6, but not in channel 8. The activation under the 1-step and 4-step conditions in channel 8 showed a comparable level. These results suggest that the brain activity in the left frontal region is modulated by the number of joints, and the brain function in channel 6 is distinctly different from that in channel 8.
Referring to the introspection sheets of 14 participants, they were divided into two groups according to whether they perceived the pseudo-postures as the human postures or not: 10 of them marked that they perceived the pseudo-postures as the human postures (High Sensitivity group, HS), while four of them did not (Low Sensitivity group, LS).
The LS group did not show the same pattern of activation with the HS group in channel 8, while it showed the same pattern of activation in channel 6. We did not find significant main effects and interactions in channels 6 and 8 in the LS group because of the small sample size lacking of statistical power within the LS group. Although the relatively small sample size in the current study means that our results should be interpreted with caution, in the LS group, both the 1-step and 4-step conditions in the channel 8 seemed to show activation on the level of the base line during the target-presentation period, which is dissimilar to the activation patter in the channel 8 in the HS group. Furthermore, the channel 6 in the LS group seemed to show relatively higher activation to the base line, which is similar to the activation pattern in channel 6 in the HS group.
These results in the HS group and the LS group might suggest that the perception of pseudo-postures as human postures, or the extraction of human-likeness from the sequentially presented pseudo-postures triggers the posterior part of the inferior frontal gyrus (BA44: channel 8) to visualize the kinematic relation between sequentially presented peudo-postures as a human bodily movement.
We found a significant activation in the left frontal region (channel 1) both in the novel contour shape and the pseudo-posture conditions. These results indicated that the average values of the z-scores for oxy-Hb concentration changes under the easy condition were higher than those under the difficult condition, while the group-av- eraged values of the z-scores for oxy-Hb concentration changes under the 1-step condition were higher than those under the 4-step condition.
Based on the 3-dimensional probabilistic anatomical craniocerebral correlation [
The purpose of the present study was to investigate how higher-order cognitive functions affect the activities in the fronto-parietal mirror neuron circuit during the perception of simplified pseudo-postures. In order to address this issue, we examined brain activity during the observation of sequentially presented pseudo-postures.
First, in this study, we compared the brain activation during the observation of pseudo-postures and novel contour shapes. The present data for the pseudo-postures demonstrated that distinct activation patterns are observed in the frontal mirror neuron circuit consisting of the two cortical areas, while no activation related to the number of steps is observed in the left superior temporal gyrus, left angular gyrus, or occipital cortex (i.e., the areas related to the verbal encoding). This seems to imply that the MNS may respond to artificial human-like objects [
Second, we verified that higher activation occurred under the 1-step condition in the left channel 6, but not in the left channel 8 during the target presentation period, showing a different pattern of activation in the lower part of the precentral gyrus (BA6) and the posterior part of the inferior frontal gyrus (BA44), respectively. In order to assess the effects of the higher-order cognitive functions, i.e., retrieving the conceptual knowledge of human body posture for perceiving the pseudo-postures as human postures and inhibitory control of automatic response tendencies evoked by human-like stimuli, we divided the 14 participants into a high sensitivity group (10 participants) who perceived the pseudo-postures as the human postures and a low sensitivity group (four participants) who did not. The HS group demonstrated the pattern of activation in the left channels 6 and 8 as did the 14-participants group, while the LS group did not. In particular, it is worthy to note that the LS group showed little or no activation in the left channel 8 (the posterior part of the inferior frontal gyrus; BA44), while the LS group showed a similar activation pattern with the HS group in the left channel 6, even though it was not significant in the LS group. Thus, observers who do not detect the possibility of human body form during the observation of individual pseudo-postures seem to show no activation of the BA44. This could be explained by the involvement of BA44 in mapping of an externally triggered representation of an observed pseudo-posture onto internally retrieved representations of human body postures by identifying the similarity between the particular spatial configuration of limbs of the human body and that of the pseudo-posture. Therefore, this mapping process would be suppressed in the LS group.
If the lower part of the precentral gyrus (BA6) is modulated by the number of joints functioning in a similar structure to the human upper limbs in all participants regardless of the perception of a pseudo-posture as a human posture, presumably, the lower part of the precentral gyrus is involved in computing configurational changes of sequentially presented pseudo-postures. The present data in the lower part of the precentral gyrus is consistent with previous studies that have shown the involvement of the premotor area in the representation of sequential information such as the motor plans [
Whereas the lower part of the precentral gyrus (BA6) is modulated by the number of joints responsible for a postural change between the neighboring postures, the posterior part of the inferior frontal gyrus (BA44) is modulated by the perception of a pseudo-posture as a human posture. Thus, the posterior part of the inferior frontal gyrus seems to be activated when participants attended to the biological characters (humanlike appearance) of the pseudo-postures, but might be normally under inhibitory control. One of the most promising brain regions, which pertain to the inhibitory control of motoric embodiment, is the prefrontal cortex, i.e., the anterior part of inferior frontal gyrus [
We conclude that the degree of the activation of higher-order cognitive functions leads to the distinctive activities in the inferior frontal mirror neuron area consisting of the lower part of the precentral gyrus and the posterior part of the inferior frontal gyrus. This implies that the activities in MNS are modulated by the degree of intervention from other brain regions that would be engaged in higher-order cognitive functions such as inhibitory and/or facilitative processing of human body or bodily movement.
We thank Paul Langman, PhD, for his careful reading of the manuscript and assistance with English usage.
Novel contour shape | Channel | Period | |||||||||||
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Pre | Fix 1 | Targ 1 | Targ 2 | Targ 3 | Targ 4 | Targ 5 | Fix 2 | Test | Conf | Post 1 | Post 2 | ||
Easy | 5 | 0 | 0.56 | 2.31 | 4.07 | 4.13 | 2.95 | 1.79 | 1.19 | 0.48 | 0.07 | −0.30 | 1.36 |
9 | 0 | 0.18 | 1.18 | 1.85 | 1.71 | 0.39 | −0.74 | −0.80 | −0.63 | −1.04 | −3.38 | −2.24 | |
10 | 0 | 0.98 | 4.54 | 8.08 | 8.36 | 6.45 | 4.29 | 3.41 | 3.40 | 1.42 | −2.20 | 0.11 | |
15 | 0 | −0.05 | 1.97 | 4.53 | 6.09 | 5.87 | 5.89 | 6.71 | 6.77 | 4.77 | 2.49 | 1.67 | |
16 | 0 | 0.35 | 2.12 | 4.18 | 5.60 | 6.01 | 5.00 | 4.90 | 4.92 | 4.10 | 2.33 | 1.60 | |
20 | 0 | 0.19 | 1.16 | 2.60 | 3.33 | 3.40 | 3.33 | 3.96 | 4.01 | 1.50 | −1.04 | −1.45 | |
21 | 0 | 0.32 | 1.42 | 3.28 | 4.16 | 3.72 | 2.93 | 3.17 | 3.50 | 1.76 | −0.87 | −0.14 | |
22 | 0 | 0.38 | 0.99 | 2.82 | 4.65 | 5.63 | 5.93 | 6.90 | 7.56 | 4.66 | 0.78 | 0.68 | |
23 | 0 | 0.41 | 2.09 | 4.24 | 4.99 | 4.55 | 3.79 | 3.62 | 3.49 | 1.50 | −0.89 | −1.10 | |
24 | 0 | 0.25 | 1.76 | 3.72 | 4.01 | 3.42 | 3.18 | 3.82 | 3.69 | 1.20 | −3.83 | −3.30 | |
Difficult | 5 | 0 | 0.65 | 1.72 | 3.55 | 2.83 | −0.23 | −3.93 | −4.94 | −4.11 | −3.00 | −4.11 | −4.26 |
9 | 0 | −0.08 | 1.04 | 1.46 | 0.65 | −1.04 | −2.40 | −2.77 | −0.89 | 1.72 | −0.09 | 0.01 | |
10 | 0 | 0.17 | −0.26 | −1.61 | −3.18 | −4.94 | −6.04 | −6.37 | −5.56 | −7.31 | −8.55 | −5.61 | |
15 | 0 | 0.79 | 1.17 | 1.29 | 0.93 | −0.23 | −1.84 | −2.62 | −2.04 | −2.59 | −4.17 | −4.84 | |
16 | 0 | 1.08 | 2.18 | 2.48 | 1.32 | −0.11 | −1.99 | −2.28 | −1.74 | −1.41 | −3.40 | −3.51 | |
20 | 0 | −0.01 | 0.59 | 0.23 | −0.71 | −1.72 | −2.03 | −1.80 | −1.17 | −1.63 | −2.72 | −2.18 | |
21 | 0 | 0.70 | 0.60 | −0.30 | −0.85 | −1.10 | −1.18 | −0.76 | −0.39 | −3.19 | −5.21 | −4.85 | |
22 | 0 | 0.78 | 1.34 | 0.67 | −1.49 | −3.99 | −4.59 | −3.53 | −6.31 | −13.4 | −9.51 | −5.69 | |
23 | 0 | 0.19 | 0.55 | 0.59 | −0.55 | −3.45 | −6.26 | −6.44 | −5.57 | −6.94 | −7.04 | −7.59 | |
24 | 0 | 0.55 | 0.78 | −0.32 | −2.55 | −4.36 | −5.75 | −5.09 | −4.72 | −9.36 | −11.4 | −10.1 |