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. Author manuscript; available in PMC: 2010 Sep 10.
Published in final edited form as: J Neurosci. 2010 Mar 10;30(10):3739–3744. doi: 10.1523/JNEUROSCI.4844-09.2010

Functional Dissociation of the Frontoinsular and Anterior Cingulate Cortices in Empathy for Pain

Xiaosi Gu 1,2, Xun Liu 1, Kevin G Guise 1,2, Thomas P Naidich 3, Patrick R Hof 4, Jin Fan 1,4
PMCID: PMC2845539  NIHMSID: NIHMS186285  PMID: 20220007

Abstract

The frontoinsular cortex (FI) and the anterior cingulate cortex (ACC) are known to be involved in empathy for others’ pain. However, the functional roles of FI and ACC in empathetic responses have not yet been clearly dissociated in previous studies. In this study, participants viewed color photographs depicting human body parts (hands or feet) in painful or non-painful situations and performed either pain judgment (painful/non-painful) or laterality judgment (left/right) of the body parts. We found that activation of FI, rather than ACC, showed significant increase for painful compared to non-painful images, regardless of the task requirement. These findings suggest a clear functional dissociation between FI and ACC in which FI is more domain-specific than ACC in processing of empathy for pain.

Keywords: empathy, fMRI, insula, anterior cingulate cortex, pain, Emotion

Introduction

Empathy, the ability to understand and echo other people’s sensory and emotional states, enables us to relate to one another and form social relationships. Recent studies on neural mechanisms of empathy for pain (Singer et al., 2004; Jackson et al., 2005; Gu and Han, 2007), disgust (Wicker et al., 2003), as well as pleasant experiences (Jabbi et al., 2007), have revealed that empathy is subserved by a cortical network primarily consisted of the frontoinsular cortex (FI) and the anterior cingulate cortex (ACC). FI and ACC are co-activated in virtually all neuroimaging studies on pain (Peyron et al., 2000; Wager et al., 2004) and empathy for pain (Singer et al., 2004; Jackson et al., 2005; Gu and Han, 2007). Activation levels of these two regions correlate with subjective ratings of the unpleasantness of pain and dispositional measures of empathy, suggesting that both regions account for the affective-motivational rather than the sensory-discriminative aspect of pain (Singer et al., 2004; Jackson et al., 2005).

The FI has been historically considered as a limbic sensory region, and is responsible for polymodal sensory integration, representation of visceral responses (Critchley, 2004; Critchley et al., 2004) and conscious awareness of bodily sensations and subjective feelings (Craig et al., 2000). In contrast, the ACC is known as a limbic motor cortex that participates in voluntary control of multiple domains of behaviors such as self-initiated behaviors (Cohen et al., 1999), pain (Davis et al., 1994; Rainville et al., 1997), emotion and personality (Cohen et al., 2001), learning the value of actions (Kennerley et al., 2006), and social interaction (Rudebeck et al., 2006). It is likely that bodily states are generated in the ACC and mapped back as feelings in the insula.

Although it is widely accepted that both FI and ACC are co-activated in processing empathy for others’ pain, and much of the research has focused on the commonality of FI and ACC, it remains unclear why such structurally distinct regions appear functionally inseparable and what distinct roles they each play in cognitive processes such as empathy for pain. The current study aimed to investigate the specific roles of FI and ACC involved in empathy for others’ pain using a modified empathy paradigm (Jackson et al., 2005; Gu and Han, 2007) in which subjects viewed color photographs depicting other people’s hands and feet in painful or non-painful (neutral) situations (Fig. 1). Because FI and ACC activation is usually correlated with task difficulty (Naito et al., 2000; Hahn et al., 2007; Eckert et al., 2009), the cognitive load of experimental conditions were carefully matched in our paradigm. We hypothesized that FI, rather than ACC, would play a more specific role in empathetic processing of pain and show empathy-specific activation in response to photographs depicting painful situations compared to non-painful photographs, irrespective of the task requirement as long as the tasks enlist equivalent cognitive load. We also hypothesized that empathetic responses processed in FI can be elicited automatically without explicit cognitive demand to empathize with another individual.

Figure 1.

Figure 1

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Sample stimuli of the experimental stimuli set of 216 digital color photographs showing another person’s left or right body hand/foot in painful or non-painful situations. Each stimulus was displayed for 2,500 ms followed by a fixation of 1,500 ms. Subjects were asked to choose between “non-painful” and “painful” for the Task Pain (TP), and “left” and “right” for the Task Laterality (TL) through button press.

Materials and Methods

Subjects

Eighteen healthy adults (nine women; 22–28 years old, mean age of 24.8 years) participated in the study. All subjects were right-handed, had normal color vision, and reported no previous or current psychiatric or neurological conditions. Subjects were informed of the study requirements and provided written consent prior to participation. The study was approved by the Institutional Review Board of Mount Sinai School of Medicine (MSSM).

Stimuli and Procedure

Experimental stimuli included a set of 216 digital color photographs showing another person’s left or right hand or foot in painful or non-painful situations that are similar to the stimuli used in previous studies (Jackson et al., 2005; Gu and Han, 2007). There were 54 photographs (30 foot photos and 24 hand photos) in each of the four categories (painful-left, painful-right, non-painful-left, non-painful-right; Fig. 1). The photographs depicted incidents that may happen in everyday life and were taken from the first-person perspective so that subjects would not have to perform mental rotation before judging pain or laterality. The images were slightly blurred with a Gaussian filter to remove any gender or age bias. Half of the photographs showed painful events and the other half showed non-painful events that were identical in physical properties (i.e., context, brightness, contrast). The photographs were rated by an independent group of 30 subjects based on a 5-point scale from 1 as “not painful at all” to 5 as “extremely painful”. The pain ratings of painful and non-painful photographs (3.5 ± 0.7 and 1.1 ± 0.2, respectively) were significantly different (t(29) = 20.73, P < 0.001). The tasks were chosen from a variety of cognitive tasks based on their cognitive load indexed by reaction time (RT) and accuracy from a pilot behavioral study.

An event-related design was used. There were a total of four runs. In two runs, subjects were instructed to judge whether the person in the photograph was suffering from pain or not (Task Pain, TP); in the other two runs, they were told to judge the laterality of the hand/foot (Task Laterality, TL). The order of the four runs (2 TP runs and 2 TL runs) was counterbalanced between subjects. Each run included 27 trials of painful photographs and 27 trials of non-painful photographs. In addition, 27 null trials of blank screen with a fixation in the center were included to jitter the inter-trial intervals. The order of trials (including null trials) in each run was simulated to determine the optimal randomization for design efficiency (http://afni.nimh.nih.gov/pub/dist/HOWTO/howto/ht03_stim). Such manipulation prioritized the detection of stimulus-related effects that were the main effects of interest. This yielded a 2 (task: TP versus TL) × 2 (stimulus: painful versus non-painful) factorial design with four experimental conditions (TP-painful, TP-non-painful, TL-painful, TL-non-painful). Each photograph was displayed for 2,500 ms followed by a fixation of 1,500 ms. Subjects were instructed to respond as quickly and accurately as possible.

fMRI data acquisition and analysis

All MRI data were obtained on a 3 T Siemens Allegra MRI system at MSSM. Foam padding was used to keep the subjects’ head still. All images were acquired along axial planes parallel to the anterior commissure-posterior commissure (AC-PC) line. A high-resolution T2-weighted anatomical volume of the whole brain was acquired on an axial plane parallel to the AC-PC line with a turbo spin-echo pulse sequence. The fMRI imaging was performed using a gradient-echo echo-planar imaging (GE-EPI) sequence using the following protocol: 40 axial slices, 4 mm thick, and skip = 0 mm, TR = 2500 ms, TE = 27 ms, flip angle = 82°, FOV = 240 mm, and matrix size = 64×64. Slices were obtained corresponding to the T2-weighted anatomical images. Four series of EPIs corresponding to the four runs were acquired. Each series started with 2 dummy volumes before the onset of the task to allow for equilibration of T1 saturation effects, followed by 154 image volumes for each run.

Event-related analyses of the fMRI data from the two tasks were conducted using statistical parametric mapping (SPM5; Wellcome Department of Imaging Neuroscience, London, UK). The functional scans were adjusted for slice timing, realigned to the first volume, coregistered to the T2 image, normalized to a standard template (MNI, Montreal Neurological Institute), and spatially smoothed with an 8×8×8 mm full-width-at-half-maximum (FWHM) Gaussian kernel. General linear modeling (GLM) (Friston et al., 1995) was then conducted for the functional scans from each participant by modeling the observed event-related BOLD signals and regressors to identify the relationship between the task events and the hemodynamic response. Regressors were created by convolving a train of delta functions representing the sequence of individual events with the default SPM basis function, which consists of a synthetic hemodynamic response function composed of two gamma functions (Friston et al., 1998). There were four, 2 (TP, TL) × 2 (painful, non-painful), regressors. Six parameters generated during motion correction were entered as covariates. Linear contrasts of the parameter estimates were made to identify the main effects of task and stimulus, and the interaction effect between task and stimulus, resulting in images of contrast estimate for these effects of each participant. These images from all participants were entered into a second-level group analysis conducted with a random-effects statistical model. Significant activations related to effects of interest were identified with voxel-wise P value exceeding 0.05, corrected for false discovery rate (FDR) (Genovese et al., 2002) in conjunction with cluster-wise P value exceeding 0.05 uncorrected, to control for regional effects and represent topographical inferences (resampled as 2×2×2 mm).

To define ROIs, we first compared all four experimental conditions against baseline fixation. The contrast of all (combined) conditions versus baseline was used for localizing ROIs (as opposed to a combination of individual conditions each compared versus baseline which would be biased) because this contrast is orthogonal to the effects of interest. Spherical ROIs of 6-mm radius were created using the MarsBaR toolbox (http://marsbar.sourceforge.net) for ACC (posterior rostral cingulate zone, RCZp; see Fan et al., 2008) and bilateral FI (mean parameter estimates were averaged across left and right FI). Parameter estimates were extracted from each ROI for each of the four experimental conditions from each subject using MarsBaR, and then entered into an ANOVA. This subsequent ANOVA is independent from previous contrasts because each contrast in the ANOVA is orthogonal to the main effect of all conditions versus baseline. Separate psychophysiological interaction (PPI) analyses were also performed using FI or ACC as the seed (see Supplementary Materials for details).

Results

Behavioral results

Mean reaction times of four experimental conditions (TP-painful, TP-non-painful, TL-painful, TL-non-painful) were 1014 ± 135 ms, 1025 ± 115 ms, 1022 ± 109 ms, and 985 ± 138 ms (mean ± SD), respectively (Fig. 2A). There was no significant main effect of task (F < 1) or stimulus (F < 1), and there was a marginally significant interaction (F(1,17) = 3.65, P = 0.07). Post hoc comparisons showed that there was no significant RT difference between judging pain of painful and non-painful stimuli (TP-painful versus TP-non-painful; P > 0.05); however, judging laterality of painful stimuli was significantly slower than judging non-painful stimuli (TL-painful versus TL-non-painful; P < 0.05). This Stroop type effect (Stroop, 1935) suggests that painful stimuli might attract attention and interfere with laterality judgment even though the painful aspect of stimuli was unrelated to task requirement.

Figure 2.

Figure 2

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Behavioral results. (A) Reaction times (RT) for four experimental conditions. There was no significant main effect of task or stimulus; the task-by-stimulus interaction was marginally significant (P = 0.07). (B) Accuracy for four experimental conditions. There was a small but significant stimulus but not task effect; the main effect of stimulus and the interaction were not significant.

Accuracy for TP-painful, TP-non-painful, TL-painful, and TL-non-painful was 93 ± 6%, 95 ± 4%, 94 ± 6%, and 96 ± 3% (Fig. 2B). There was a small (1%) but significant stimulus effect (F(1,17) = 7.15, P = 0.016). Painful stimuli had a lower accuracy than non-painful stimuli. There was no significant main effect of the task (F(1,17) = 1.35, P = 0.26). The interaction was not significant (F < 1).

fMRI results

Region of interest (ROIs) analysis

We performed ROI analysis on FI and ACC based on the activation of these two regions in all experimental conditions compared to baseline fixation (Fig. 3A and Table 1). The coordinates of the ROIs were as the following: ACC (centered at [0 8 46]) and bilateral FI (centered at [−32 24 −4] and [34 24 4]).

Figure 3.

Figure 3

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ROI analysis of the parameter estimates of ACC and FI for four experimental conditions (TP-non-painful, TP-painful, TL-non-painful, TL-painful). (A) Localization of ACC and FI ROIs derived from activations common to all four experimental conditions. (B) ACC showed comparable activation levels to all four conditions; FI showed significant increased activation for painful compared to non-painful stimuli independent of the task. This ROI-by-stimulus interaction was significant (see Results for details). (C) Responses in left FI and right FI separately. Error bars represent 95% confidence intervals. ACC: anterior cingulate cortex; FI: frontoinsular cortex.

Table 1.

Brain activations averaged across all four experimental conditions

MNI coordinates
Region BA Z k
x y z
R fusiform gyrus 37 32 −54 −10 7.73 29,123
R superior occipital gyrus 18 20 −94 6 7.46
L middle occipital gyrus 18 −30 −88 14 7.12
L fusiform gyrus 37 −32 −58 −16 6.89
L SII 3 −56 −20 22 5.40
L SI 3 −58 −24 42 5.40
bilateral ACC 32 0 8 46 6.5 1,025
R frontal operculum 44 48 10 30 4.44 929
R somatomotor cortex 6 26 −6 52 4.25
L insula* −32 24 4 4.29 119
R frontal operculum 47 48 20 −6 4.07 194
R insula 34 24 4 3.17
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PFDR < 0.05, voxel size = 2×2×2 mm. ACC, anterior cingulate cortex; SI, primary somatosensory cortex; SII, secondary somatosensory cortex; BA, Brodmann area.

*

cluster-level P = 0.08 uncorrected.

Parameter estimates of the four experimental conditions were extracted from FI and ACC ROIs (Fig. 3B) and entered into a three-way ANOVA model with the following factors: ROI (FI, ACC), task (TP, TL), and stimulus (painful, non-painful). There was no significant effect of task (F < 1); there was a marginally significant effect of stimulus (F(1,17) = 3.47, P = 0.08); there was a significant main effect of ROI (F(1,17) = 80.94, P < 0.001); there was a significant ROI-by-stimulus interaction (F(1,17) = 5.79, P < 0.05); none of the other interactions were significant (Fs < 1). We further examined the effect of stimulus within each ROI averaged across tasks. Planned comparisons showed that the differential activation between painful and non-painful stimuli reached significance for FI (F(1,17) = 12.39, P < 0.01) but not for ACC (F < 1). These findings suggest that neural activity of FI is more selectively sensitive to painful stimuli than that of ACC regardless of whether subjects were explicitly asked to judge others’ pain, which may imply a more specific role of FI than ACC in empathy for others’ pain.

To examine whether there is a laterality effect of bilateral FI activation, we also conducted ANOVA with left FI and right FI as separate ROIs (Fig. 3C). There was no significant main effect of task (F < 1) or laterality (F(1,17) = 1.45, P > 0.05); the main effect of stimulus was still significant (F(1,17) = 12.39, P < 0.01). There was a significant laterality-by-stimulus interaction (F(1,17) = 5.57, P = 0.03), indicating that the increased activation for painful stimuli was greater in left FI than in right FI. None of the other interactions were significant (Fs < 1). Planned comparisons were then conducted to examine the differential activation for painful and non-painful stimuli (pooled over tasks) for left FI and right FI separately: this difference in activation reached significance for both left FI (F(1,17) = 23.36, P < 0.001) and right FI (F(1,17) = 4.84, P < 0.05).

Whole brain analysis

We also performed whole brain analysis to verify our findings from the ROI analysis. We directly compared the brain activation maps of painful and non-painful stimuli averaged across tasks. Increased activation for painful stimuli compared to non-painful stimuli was found in bilateral FI but not in ACC (Fig. 4A and Table 2). Other brain regions that showed significant activation for painful stimuli include bilateral primary and secondary somatosensory cortex, somatomotor cortex, superior medial prefrontal cortex (smPFC), pre-supplementary motor area (pre-SMA), occipitotemporal visual areas, cerebellum, and thalamus (Table 2). We also list regions that showed less activation for painful than non-painful stimuli. These include visual occipitotemporal cortices, middle and superior prefrontal cortices, subgenual cingulate cortex, putamen, and caudate nucleus.

Figure 4.

Figure 4

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Whole brain analysis. (A) Stimulus effect: painful versus non-painful stimuli (averaged across tasks). (B) Task effect: TP versus TL. (C) Pair-wise comparison: judging pain of painful stimuli versus non-painful stimuli. (D) Pair-wise comparison: judging laterality of painful stimuli versus non-painful stimuli. FI, but not ACC, showed a significant increase in activation for painful stimuli regardless of the task.

Table 2.

Whole brain analysis: stimulus effects

MNI coordinates
Region BA Z k
x y z
painful > non-painful
L middle occipital gyrus 37 −44 −64 0 6.54 2,771
L inferior occipital gyrus 19 −44 −74 −6 6.36
R middle occipital gyrus 18 34 −84 4 5.79 2,194
R inferior temporal gyrus 37 54 −58 −2 5.57
R inferior occipital gyrus 18 26 −90 −4 5.44
L SI/SII 2 −56 −30 38 6.08 2,878
L superior parietal lobule 7 −38 −46 58 5.70
L inferior parietal lobule 40 −34 −42 44 4.84
R superior parietal lobule 7 26 −54 58 5.25 2,032
R SI/SII 3 56 −22 40 5.19
L somatomotor cortex 6 −48 4 22 4.92 2,942
L frontal operculum 44/47 −52 12 6 4.46
L insula −36 22 −2 4.39
R frontal operculum 44/47 52 12 8 4.81 1,423
R somatomotor cortex 6 54 8 28 4.40
R superior temporal pole 38 40 12 −20 4.32 105
R insula 32 14 −20 3.27
L superior medial frontal gyrus 8 −4 38 46 4.00 478
presupplementary motor area 8 0 20 54 3.17
L superior occipital gyrus 19 −24 −70 34 3.86 89
L cerebellum 20 −76 −22 3.70 97
L thalamus −14 −8 −12 3.55 106
non-painful > painful
R lingual gyrus 18 12 −72 −6 5.48 7,471
R precuneus 18/19 2 −40 50 4.95
R angular gyrus 39 42 −62 30 4.95 1,257
R superior temporal gyrus 41 44 −34 20 4.65 342
R middle frontal gyrus 8 24 28 48 4.58 635
R superior frontal gyrus 9 26 44 38 4.00
L angular gyrus 7/39 −34 −68 7 4.14 457
L middle occipital gyrus 39 −36 −62 30 3.51
L superior temporal gyrus 42 −52 −40 16 4.14 311
L Rolandic operculum −46 −16 16 3.13 76
L Rolandic operculum −62 −6 14 4.05 79
L subgenual cingulate cortex 25 −4 34 0 3.59 209
L middle temporal gyrus 22 −58 −16 2 3.36 192
L putamen −18 10 −4 3.95 147
L caudate nucleus −6 18 −6 3.69
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PFDR < 0.05, voxel size = 2×2×2 mm. SI, primary somatosensory cortex; SII, secondary somatosensory cortex; BA, Brodmann area.

No activation difference reached significance for the contrast between TP and TL (Fig. 4B), or the task-by-stimulus interaction effects TP (painful > non-painful) > TL (painful > non-painful) and TL (painful > non-painful) > TP (painful > non-painful). Similar to the painful versus non-painful contrast, pair-wise comparisons between painful and non-painful stimuli under Task Pain (TP: painful > non-painful) yielded significant activation in FI bilaterally, somatosensory, superior parietal, and occipitotemporal visual areas, but not in ACC (Fig. 4C and Table 4). Pair-wise comparison between painful and non-painful stimuli under Task Laterality (TL: painful > non-painful) also yielded significant activation in FI bilaterally rather than ACC (Fig. 4D). Other activation patterns are listed in Table 4.

Discussion

Our main findings are twofold. First, FI robustly responded to the sight of others’ pain bilaterally, regardless of whether the observer was explicitly asked to evaluate pain. Second, ACC activation did not differentiate between painful and non-painful stimuli, or between pain judgment and laterality judgment; that is, increase in activation due to empathy for pain was significantly greater in FI than in ACC. These findings showed a clear functional dissociation between FI and ACC in the process of empathizing with others’ pain.

A unique role of FI in empathy for pain

The main contribution of the current study is that we showed that FI, instead of ACC, differentially responded to the sight of others’ pain, regardless of whether subjects needed to empathize intentionally with others, indicating that FI may be functionally more specific than ACC to process empathetic responses without effortful thought about, or evaluation of, other people’s situations. The FI has been traditionally conceived of as a limbic sensory region that integrates multimodal sensory information. It has been recently proposed that the FI is able to translate sensory information into conscious awareness of bodily sensations and emotional feelings (Critchley et al., 2004; Craig, 2009). Our findings support this view by showing that FI is consistently active when painful feelings are elicited regardless of the cognitive requirement of the task, which distinguishes the FI from other brain regions (such as ACC) that are traditionally considered to process empathy for pain.

Another important aspect of our observation is the automaticity of FI recruitment in processing empathy. Our data indicate that even when subjects’ attention is not explicitly focused on others’ pain, empathetic responses in FI still occur to the same extent as when subjects are explicitly evaluating pain, suggesting that FI activation in response to the sight of others’ pain can be a quite automatic process, in which top-down modulation may not be necessarily required. This automaticity of FI activation provides a neural mechanism for the perception-action model of empathy, which states that the sight of another person’s emotional state directly and immediately elicits a mental representation of that state in the observer (Preston and de Waal, 2002). Considering the interoceptive function of insula (Critchley et al., 2004; Craig, 2009), this process can be achieved through a direct mapping of another person’s physiological state to one’s own internal state in FI and its interconnected sensory regions (Carr et al., 2003; Singer et al., 2009). This finding is also in accordance with the late appraisal model of empathy (de Vignemont and Singer, 2006) in that empathetic responses occur immediately after emotional cues (increased FI activation for painful stimuli regardless of the cognitive task), accompanied by the appraisal process in parallel (equal yet significant increment in ACC activation for each experimental condition compared to fixation). In this context, the present study shows that FI, but not ACC, is specialized in processing empathy for others’ pain and that FI activation in response to pain empathy can be elicited automatically, independent from the explicit task requirement. In addition, we conducted psychophysiological interaction (PPI) analysis (see Supplementary Materials) to explore how the context of empathy for painful stimulus might modulate the functional connectivity between the seed regions, namely, ACC and FI, and other brain regions. Under the context of painful stimuli, the FI showed significant decrease in functional connectivity primarily with SMA, smPFC, and inferior frontal gyrus, which have been suggested to participate in mentalizing and empathetic processes (Gallagher et al., 2000; Carr et al., 2003; Decety and Chaminade, 2003; Gu and Han, 2007; Akitsuki and Decety, 2009), and are considered part of the “social brain” (Blakemore, 2008). As a key region in the pain matrix, FI works with a network of brain regions within and outside of the pain matrix in order to convey the awareness of another individual’s emotional states to generate isomorphic feelings in oneself.

Revisit the role of ACC in pain and empathy

In contrast to significant increase in FI activation by pain, ACC activation was not significantly increased for the sight of others’ pain (painful versus non-painful stimuli) or the evaluation of others’ situation (TP versus TL) in our experiment, suggesting that ACC may not be specific for either automatic or controlled empathetic responses. Although ACC activation has been considered as a neurobiological marker of empathy for pain in previous studies, the role of ACC in general information processing has rarely been taken into account, which is confounded with empathy processing. Therefore, as a key manipulation in our design, we purposely equated cognitive loads for the empathy task (TP) and the control task (TL) as indexed by comparable RTs. Hence, although our findings appear to conflict with previous studies that reported involvement of ACC in empathy, they support the idea that ACC may not be specific for empathy, but rather, participate in this process through its general role in voluntary control of behaviors. For instance, ACC is involved in perspective taking (Ruby and Decety, 2004; Lamm et al., 2007), which is an important process in empathy. It is noteworthy that although empathy for pain did not activate dorsal ACC, it did activate pre-SMA, together with the cerebellum (Table 1), which supports the view that pain often triggers motor preparation as well as inhibition, or “fight or flight” responses to pain, which possess great survival significance (Peyron et al., 2000). It is noteworthy that under the context of empathy for pain, the functional connectivity between ACC and visual attention areas (occipitotemporal cortex and brain areas along the intraparietal sulcus) was significantly decreased as revealed by the PPI analysis (see Supplementary Material), suggesting that the involvement of ACC in empathy for pain might be implemented though its role in visual attention and response anticipation.

Functional dissociation between FI and ACC

Increase in FI activation without the concurrent increase in ACC activation in the current study not only clarifies our understanding about differential roles of each region subserved in pain and empathy, but also elucidates their discrepancy in general cognitive processes. Most studies on the roles of FI and ACC in cognitive function focused on the co-activation of these two regions in cognitively demanding tasks and the coordination of these two regions in processing salience related information (Seeley et al., 2007; Sridharan et al., 2008). However, it is worth noting that a recent study by Sridharan and colleagues (Sridharan et al., 2008) suggested that FI, rather than ACC, serves as the causal outflow hub at the junction of the central executive network and default mode network by showing that the right FI had the highest number of causal outflow connections, the lowest number of causal inflow connections, and the shortened path lengths among all regions tested in a Granger Causality Analysis. The authors proposed that the right FI has a strong causal influence on ACC and may generate signals to trigger hierarchical voluntary control. It is likely that in the empathy for pain paradigm, FI initially identifies the most homeostatically significant input of pain and integrates highly interoceptive information with outer-world representations, in order for ACC to transform this evaluative signal into voluntary control over behavioral decisions (Craig, 2009). We showed for the first time that when cognitive load is carefully matched between painful and non-painful conditions, the FI, but not the ACC, specifically responds to empathy for pain, suggesting a more direct and essential role of FI than ACC in processing empathy for pain. This finding challenges the current consensus that the ACC is indispensable in empathetic responses, and singles out the importance of the FI in empathetic processes.

Supplementary Material

Supp1

Table 3.

Pair-wise comparisons of brain activation between experimental conditions

MNI coordinates
Region BA Z K
x y z
TP(painful > non-painful)
L middle temporal gyrus 37 −44 −64 −2 7.09 2,035
L inferior occipital gyrus 19 −46 −72 −6 6.27
L middle occipital gyrus 18 −28 −94 0 5.38
R inferior temporal gyrus 37 54 −60 −4 5.64 1,551
R middle occipital gyrus 18 36 −86 6 5.17
L SI/SII 2 −56 −30 34 5.64 1,739
L superior parietal gyrus 40 −40 −44 58 4.41
R superior parietal gyrus 7 26 −52 58 5.36 1,557
R SI 2 42 −38 58 5.14
R inferior parietal gyrus 7 30 −48 52 5.14
R frontal operculum 44 52 10 24 4.58 373
R superior temporal pole 38 40 10 −18 4.22 98
R frontal operculum 38 32 18 −20 3.19
R middle temporal gyrus 21 48 4 −20 3.15
L somatomotor cortex 6 −48 4 24 4.11 499
L frontal operculum 6 −60 10 12 3.52
L insula −34 20 2 4.03 467
L insula −38 −2 0 3.91 136
R frontal operculum 47 40 32 −8 3.90 180
TL(painful > non-painful)
L inferior occipital gyrus 19 −44 −72 −6 5.48 2,075
L middle occipital gyrus 18 −32 −92 8 5.38
R middle occipital gyrus 18 34 −86 8 5.12 1,496
R inferior temporal gyrus 19 46 −72 −8 4.97
L frontal operculum −50 10 6 4.82 1,425
L somatomotor cortex 6 −50 2 28 4.01
L superior parietal gyrus 2 −32 −46 58 4.70 2,116
L inferior parietal gyrus 2 −42 −34 44 4.70
R superior parietal gyrus 7 24 −54 56 4.48 721
R somatosensory cortex 3 52 −22 38 3.84
R frontal operculum 50 10 6 4.22 198
L superior medial frontal gyrus 8 −4 32 44 3.65 97
R somatomotor cortex 44 54 8 28 3.37 119
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PFDR< 0.05, voxel size = 2×2×2 mm. SI, primary somatosensory cortex; SII, secondary somatosensory cortex; BA, Brodmann area.

Acknowledgments

The authors would like to thank Dr. Michael I. Posner for helpful comments. This research was supported by National Institute of Health (NIH) Grants R21MH083164 to J. F., by National Center for Research Resources (NCRR) Grant MO1 RR00071, and by The James S. McDonnell Foundation (grant 22002078) to P. R. H. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH or NCRR. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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