Journal of Experimental Psychology: General
2014, Vol. 143, No. 2, 755–762
© 2013 American Psychological Association
0096-3445/14/$12.00 DOI: 10.1037/a0033477
Power Changes How the Brain Responds to Others
Jeremy Hogeveen
Michael Inzlicht
Wilfrid Laurier University
University of Toronto Scarborough
Sukhvinder S. Obhi
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Wilfrid Laurier University
Power dynamics are a ubiquitous feature of human social life, yet little is known about how power is
implemented in the brain. Motor resonance is the activation of similar brain networks when acting and
when watching someone else act, and is thought to be implemented, in part, by the human mirror system.
We investigated the effects of power on motor resonance during an action observation task. Separate
groups of participants underwent a high-, neutral, or low-power induction priming procedure, prior to
observing the actions of another person. During observation, motor resonance was determined with
transcranial magnetic stimulation (TMS) via measures of motor cortical output. High-power participants
demonstrated lower levels of resonance than low-power participants, suggesting reduced mirroring of
other people in those with power. These differences suggest that decreased motor resonance to others’
actions might be one of the neural mechanisms underlying power-induced asymmetries in processing our
social interaction partners.
Keywords: power, motor resonance, human mirror system, TMS, social cognitive neuroscience
process other individuals. Despite what we know about the effects
of power on social information processing, the majority of the
evidence is indirect, and the mechanisms underlying power’s influence remain a mystery. To begin to address this issue, we used
transcranial magnetic stimulation (TMS) to provide a direct and
online measure of power’s impact on how the brain responds to
observed action.
The profound evolution of primate neocortex was influenced by
the computational demands of living in a complex social environment (Dunbar & Shultz, 2007). For primates, a key factor creating
structure within the social environment is power. In nonhuman
primates, an animal’s power is partly determined by the degree to
which they dominate conspecifics. Those that are able to exert
dominance over others gain greater access to valuable resources
like food and potential mates (Dunbar, 1980; Lewis, 2002; Watts,
2010). In human societies, power similarly creates “dependence
asymmetries,” wherein the powerless depend heavily on the powerful for resources, whereas the powerful enjoy relatively unabated
access to resources (Russell & Fiske, 2010). This asymmetry
results in differences in how the powerful and the powerless
The Psychological Impact of Power
The psychological literature on power indicates a reliable relationship between power and information processing style (Ames,
Rose, & Anderson, 2006; Fiske, 1993; Fiske & Dépret, 1996;
Guinote, 2007a, 2007b; Obhi, Swiderski, & Brubacher, 2012;
Smith & Trope, 2006; van Kleef et al., 2008). High-power individuals are able to ignore peripheral information and focus on task
relevant details, thereby improving goal pursuit (Guinote, 2007a,
2007b), cognitive flexibility (Smith & Trope, 2006), and executive
functioning (Smith, Jostmann, Galinsky, & van Dijk, 2008).
Therefore, when powerful individuals ignore peripheral information during a nonsocial task, it may improve their performance.
Conversely, when the powerful ignore “peripheral” information in
social settings, the outcome can be quite negative from the perspective of the powerless.
The powerful, because they already control resources, tend not
to process individuating information about the less powerful. In
contrast, the powerless, because they do not control resources, are
motivated to process individuating information about the powerful
(Fiske & Dépret, 1996; Goodwin, Gubin, Fiske, & Yzerbyt, 2000).
Power-driven differences in the processing of others are also
evident in the inability of high-power-primed participants to take
the visual, cognitive, and emotional perspectives of others, relative
to participants who feel relatively powerless (Anderson, Keltner,
Editor’s Note. Mauricio Delgado served as the action editor for this
article.—IG
This article was published Online First July 1, 2013.
Jeremy Hogeveen, Centre for Cognitive Neuroscience and Department
of Psychology, Wilfrid Laurier University, Waterloo, Ontario, Canada;
Michael Inzlicht, Department of Psychology, University of Toronto Scarborough, Toronto, Ontario, Canada; Sukhvinder S. Obhi, Centre for Cognitive Neuroscience and Department of Psychology, Wilfrid Laurier University.
This research was made possible by research grants from the Natural
Science and Engineering Research Council and the Social Science and
Humanities Research Council (SSHRC), held by Sukhvinder S. Obhi, and
an SSHRC Canada Graduate Scholarship awarded to Jeremy Hogeveen.
Correspondence concerning this article should be addressed to Sukhvinder S. Obhi, Department of Psychology, Wilfrid Laurier University, 75
University Avenue West, Waterloo, Ontario, N2L 3C5, Canada. E-mail:
sobhi@wlu.ca
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HOGEVEEN, INZLICHT, AND OBHI
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756
& John, 2003; Galinsky, Magee, Inesi, & Gruenfeld, 2006). Similarly, socioeconomic status (SES) has been linked to empathic
accuracy, with high-SES individuals making less accurate judgments about others’ affective states than low-SES individuals
(Kraus, Côté, & Keltner, 2010). As a result, the powerful often
form a relatively shallow understanding of others, compared to the
less powerless.
Despite the strong evidence that high power leads to reduced
processing of others’ actions and emotions, there are conflicting
findings in the literature. For example, Schmid Mast, Jonas, and
Hall (2009) found that high power actually improves empathic
accuracy, and Côté et al. (2011) have also shown that high power,
combined with a prosocial orientation, leads to improved empathic
ability. Therefore, the relationship between power and the degree
to which people process their social interaction partners is not
straightforward. In the present investigation, we begin to address
this ambiguity using a direct index of the degree to which people
process others’ actions.
The Neural Representation of Observed Actions
In recent years, researchers have shown that the human brain is
exquisitely tuned to the perceptual and cognitive demands of
processing others (Hari & Kujala, 2009). One reliable finding from
this work that appears to be important for human social perception
is resonant or vicarious activity, whereby perceiving an interaction
partner automatically activates neural circuits that would underlie
their experience (Keysers & Gazzola, 2009). For example, with
respect to action observation, neural circuits that are related to
action execution become active when the person observes someone else making the same action; in other words, the observer’s
brain resonates with the model’s motor behavior (Hogeveen &
Obhi, 2011; Iacoboni, 2009; Oberman & Ramachandran, 2007;
Obhi & Hogeveen, 2010; Rizzolatti & Sinigaglia, 2010). We refer
to the network of brain regions involved in this process as the
motor resonance system (cf. Hogeveen & Obhi, 2012). Motor
resonance includes the human parietofrontal mirror system, and
many believe that resonance reflects mirror system activity (Fadiga, Craighero, & Olivier, 2005; Fadiga, Fogassi, Pavesi, &
Rizzolatti, 1995).
A reliable index of resonance is the amplitude of motor-evoked
potentials (MEPs) recorded from a specific muscle via electromyography (EMG), while a person observes another person acting.
Figure 1.
An MEP is elicited by applying a single, fixed intensity TMS pulse
over an area of the motor cortex that corresponds to a muscle
underlying the observed action. For a given intensity of stimulation, changes in MEP amplitude reflect changes in the excitability
of motor cortical representations (see Figure 1; for a review, see
Fadiga et al., 2005).
Power and Motor Resonance: The Present Study
Researchers suggest that motor resonance provides a scaffold
for understanding the actions of our interaction partners (cf. Brass,
Ruby, & Spengler, 2009; Decety & Sommerville, 2009; Grafton,
2009; Spunt & Lieberman, 2012), and those actions are frequently
less important to those with high-power status (Fiske, 1993; Fiske
& Dépret, 1996; Goodwin et al., 2000; Russell & Fiske, 2010).
Yet, previous investigations of power and the processing of others’
actions and emotions have yielded conflicting results, sometimes
suggesting an increase (e.g., Côté et al., 2011), and elsewhere a
decrease (e.g., Galinsky et al., 2006), in interpersonal sensitivity.
In the present study, we examine whether power can increase or
decrease interpersonal sensitivity by examining the effects of
power priming on motor resonance.
The present study had participants write an essay documenting
a high-, neutral, or low-power experience, and then used a direct
and online technique to index motor resonance during a passive
observation task. The power priming procedure—recalling a memory with or without power—is a well-established technique that
has demonstrated a wide range of downstream effects, with the
high-power condition often found to decrease interpersonal sensitivity relative to low-power priming (Galinsky, Magee, Gruenfeld,
Whitson, & Liljenquist, 2008; Galinsky et al., 2006). To the extent
that resonance is an automatic response when observing the actions of others, any changes in resonance as a function of power
can be construed as a “default” effect of power on the brain. Again,
as previous researchers have suggested, it is reasonable to expect
that such differences in resonance may contribute to the differences in how high- and low-power individuals process other people. Specifically, given the balance of the literature suggests that
people in positions of power tend to act in a self-interested manner
and display reduced interpersonal sensitivity to their powerless
counterparts (Fiske, 1993; Galinsky, Gruenfeld, & Magee, 2003;
Galinsky et al., 2008, 2006; Keltner, Gruenfeld, & Anderson,
2003; Russell & Fiske, 2010), we hypothesized that high-power
Schematic of the experiment. TMS ⫽ transcranial magnetic stimulation.
POWER AND MOTOR RESONANCE
priming would decrease resonance, whereas low-power priming
would increase it.
Method
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Participants
Forty-five participants took part in the experiment for financial
remuneration or partial course credit. On the basis of previous
between-group MEP studies, it was determined that 36 participants
would be sufficient to achieve statistical power of 80% (d ⫽ 1.19;
Fitzgibbon et al., 2012; Fourkas, Bonavolontà, Avenanti, & Aglioti, 2008). However, since we were combining the MEP measure
with a priming technique that typically demonstrates slightly
smaller effects (d ⫽ 0.80; Galinsky et al., 2008, 2006), we ran nine
additional participants to attain sufficient statistical power. Participants were assigned to the high-power (n ⫽ 18; 11 female, 7 male;
M ⫽ 20.59 years, SD ⫽ 2.12), low-power (n ⫽ 17; 13 female, 4
male; M ⫽ 20.65 years, SD ⫽ 2.12), or neutral (n ⫽ 10; 8 female,
2 male; M ⫽ 18.63 years, SD ⫽ 0.81) condition. All participants
had normal or corrected-to-normal vision, and all but five participants were right-handed. Participants were screened for contraindications to TMS prior to participation, and informed consent was
obtained from all participants.
Apparatus and Stimuli
The TMS experiment was programmed with SuperLab (Version
4; Cedrus Corporation, San Pedro, California) and run on a Dell
desktop computer with stimuli displayed on a 20-in. (50.8-cm)
LCD monitor. TMS was carried out with a Magstim Rapid2 system
(Magstim Company Ltd., Wales). EMG data was recorded with a
Biopac psychophysiological recording system (Biopac Systems
Inc., Goleta, California). MEPs were measured with pairs of 8-mm
surface electrodes placed in a belly-tendon arrangement over the
abductor pollicis brevis muscle of participants’ right hand. The
EMG signal was acquired with a 1,000-Hz sampling rate, amplified (to 5.0 mV), and filtered (bandpass 10 –500 Hz), and sent to
a laptop computer for offline analysis.
Stimuli were videos depicting a right hand (palm facing down)
squeezing a rubber ball between the thumb and index finger, such
that the ball was substantially deformed (see Figure 1). The videos
consisted of a single squeeze repeated three to seven times. Video
editing was performed with Adobe Premiere Pro CS4 (Adobe
Systems Inc., San Jose, California). All inferential statistical analysis was performed with SPSS statistics (Version 17; SPSS Inc.,
Chicago, Illinois).
Procedure
Participants entered the laboratory, were seated in front of the
computer, and asked to write an essay. Participants in the lowpower group wrote about an experience where someone had power
over them; those in the neutral group wrote about what happened
the day before they came in for the study; and lastly, participants
in the high-power condition described an experience where they
had power over someone else. In the literature, this essay writing
procedure for priming power has demonstrated a profound and
far-reaching impact on a variety of downstream behavioral mea-
757
sures, affecting participants’ ability to recognize emotional facial
expressions (Galinsky et al., 2006), their tendency to conform to
others’ behavior (Galinsky et al., 2008), and even something as
fundamental as their sense of agency (Obhi et al., 2012). Therefore, we reasoned that it would be an apt technique for activating
high, neutral, or low power prior to measuring motor resonance
during a TMS/action observation session.
For the TMS setup, participants were seated in a Brainsight Gen
3 TMS chair (Rogue Research, Montréal, Canada). The experimenter located the vertex and hand area of left primary motor
cortex (M1) using a standard landmark technique (Hogeveen &
Obhi, 2012). A Brainsight neuronavigation system (Rogue Research, Montréal, Canada) ensured stable coil positioning throughout the experiment (Lepage, Tremblay, & Théoret, 2010). Lastly,
akin to several studies in the literature, stimulator output was
lowered to determine the minimum intensity capable of eliciting
visible MEPs (⬃1 mV peak to peak) on more than 50% of TMS
pulses, which was used as the protocol intensity rather than stimulating at 110%–120% of resting motor threshold (Enticott et al.,
2012; Hogeveen & Obhi, 2012; Lepage et al., 2010). Stimulation
intensity ranged from 49% to 75% (M ⫽ 61%) of stimulator
output.
In the first part of the TMS experiment, baseline corticospinal
excitability was determined by delivering 30 TMS pulses while
participants viewed a fixation cross. Next, participants began the
action observation block, which contained 75 total trials, containing a fixation cross (2,000 ms), followed by videos of the handsqueezing action (3,750 – 8,750 ms). TMS pulses were delivered at
points of maximum squeeze intensity on 30 of the trials. During
the baseline block, participants counted the number of seconds the
fixation was presented. Similarly, during the action observation
block, participants counted the number of squeezes contained in
each video. TMS pulses in both blocks occurred 3,128, 4,328,
5,494, or 6,728 ms after trial onset. Therefore, the task and
temporal information during baseline and action observation were
matched, making fixation cross versus action videos the only
difference between the two blocks.
Results
For each participant, raw MEPs greater than 3 standard deviations from their mean were omitted from analysis. This resulted in
the removal of 1.38% of the data. Our main dependent measure of
motor resonance was the change in MEP amplitude between the
baseline block and the action observation block— henceforth referred to as MEP facilitation. For this measure, participants with a
mean change falling outside 2.5 standard deviations of the group
average for each experimental condition (high power, neutral, low
power) were excluded. This procedure resulted in removal of one
participant in the high-power condition.
MEP Facilitation: Power Groups
Our main analysis was a one-way analysis of variance with one
factor at three levels (i.e., power: high, neutral, or low). Since we
hypothesized that higher power would lead to a reduction in MEP
facilitation, we ran a linear contrast to test this prediction. Accordingly, we obtained a significant linear effect of power on MEP
facilitation, F(1, 42) ⫽ 5.44, p ⫽ .03, d ⫽ 0.72. Crucially,
HOGEVEEN, INZLICHT, AND OBHI
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758
participants in the high-power condition displayed lower MEP
facilitation (M ⫽ ⫺4.10%, SD ⫽ 28.51%) than participants in the
low-power condition (M ⫽ 26.06%, SD ⫽ 35.84%), t(32) ⫽ 2.72,
p ⫽ .01, d ⫽ 0.96 (see Figure 2A). Mean MEP facilitation for the
neutral group (M ⫽ 12.14%, SD ⫽ 51.17%) fell between the two
power groups. However, despite being numerically intermediate,
MEP facilitation for the neutral group was not statistically different from either power priming condition: high power versus neutral, t(26) ⫽ 1.08, p ⫽ .14, d ⫽ 0.42; low power versus neutral,
t(26) ⫽ 0.85, p ⫽ .20, d ⫽ 0.34. Thus, participants in the highpower group displayed significantly less MEP facilitation than
participants in the low-power group, but the neutral condition did
not differ from either of the power conditions significantly.
Since the number of female participants differed between the
high- and low-power conditions, we ran targeted t tests to examine
any potential gender differences in motor resonance in the present
sample. There was no differences in MEP facilitation between
male (M ⫽ 6.47%, SD ⫽ 49.47%) and female (M ⫽ 13.20%, SD ⫽
34.88%) participants across the three experimental groups, t(43)⫽
⫺0.52, p ⫽ .61, d ⫽ 0.15. Importantly, there were no gender
differences for participants in the high- or low-power group (male,
M ⫽ 11.01%, SD ⫽ 51.54%; female, M ⫽ 10.96%, SD ⫽
27.49%), t(32) ⬍ 0.01, p ⬎ .99, d ⬍ 0.01. Therefore, the gender
imbalance between the two power groups is unlikely to have
mediated the effect of power priming on MEP facilitation.
The coders provided reliable judgments of power (r ⫽ .72, p ⬍
.001) and valence (r ⫽ .79, p ⬍ .001), and therefore aggregate
scores were adopted for further analyses. Aggregate power displayed a significant linear trend as a function of the power condition, F(1, 42) ⫽ 117.25, p ⬍ .001, d ⫽ 3.34, with a similar results
for emotional valence, F(1, 42) ⫽ 16.78, p ⬍ .001, d ⫽ 1.27.
Power scores in the high-power group (M ⫽ 1.68, SD ⫽ 0.88)
were significantly higher than the low-power group (M ⫽ ⫺1.44,
SD ⫽ 0.81), t(32) ⫽ 10.74, p ⬍ .001, d ⫽ 3.80, and the neutral
condition fell in between the two power conditions (M ⫽ 0.23,
SD ⫽ 0.82): low power, t(26) ⫽ 5.31, p ⬍ .001, d ⫽ 2.08; high
power, t(26) ⫽ 4.36, p ⬍ .001, d ⫽ 1.71. High-power essays (M ⫽
0.68, SD ⫽ 1.53) also contained significantly more positive affect
information than the low-power essays (M ⫽ ⫺1.24, SD ⫽ 1.09),
t(32) ⫽ 4.19, p ⬍ .001, d ⫽ 1.48. The neutral condition (M ⫽ 0.04,
SD ⫽ 1.46) was statistically similar to the high-power condition in
terms of emotional valence (p ⬎ .2), but was significantly more
positive than the low-power condition, t(26) ⫽ 2.66, p ⫽ .01, d ⫽
1.04. Thus, aside from neutral and high power containing similar
emotional valence, the amount of power and emotional content of
the essays was in accordance with our expectations, with highpower participants describing more powerful and emotionally positive experiences than low-power participants.
Next, to ensure that it was not the activation of a motoric
memory that drove group differences in MEP facilitation, independent coders also judged the amount of action described in each
essay. The coders were given the following instructions prior to
scoring the essays:
Power, Valence, and Action in the Essays
Independent coders rated each essay for power and emotional
valence, on a 7-point scale. Emotion was included because high
power is correlated with positive affect (Keltner et al., 2003).
Power was ranked from most powerless to neutral to most powerful, whereas emotion was ranked from most negative to neutral
to most positive. Coders were given very basic instructions prior to
scoring the essays:
Power: How much power did the participant hold in the essay? From
⫺3 (least power) to ⫹3 (most power).
Valence: How powerful was their description of emotion in the essay?
From ⫺3 (most negative valence) to ⫹3 (most positive valence).
Action: Amount of action described in the essay? From 1 (least
action) to 7 (most action).
Unfortunately, the coders disagreed slightly on the amount of
action described in each essay (r ⫽ .21, p ⫽ .18). However, since
any argument that recalling an action-laden memory drove the
effect of power priming on MEP facilitation would predict differences between the two power groups, and action was coded reliably for those conditions (r ⫽ .38, p ⫽ .03), aggregate scores were
used for further analysis. Unlike power and emotional valence, the
action content in the essays did not display a significant linear
trend as a function of power priming, F(1, 42) ⫽ 0.26, p ⫽ .61.
The amount of action described in each essay was significantly
higher in the neutral condition (M ⫽ 4.50, SD ⫽ 1.18) than in the
Figure 2. (A) Motor-evoked potential (MEP) facilitation and standard error of the mean (bars) for the three
experimental conditions. ⴱ p ⬍ .05. (B) Degree of power described in the essays significantly predicted MEP
facilitation.
POWER AND MOTOR RESONANCE
high-power condition (M ⫽ 2.56, SD ⫽ 1.14), t(26) ⫽ 4.33, p ⬍
.001, d ⫽ 1.68, or low-power condition (M ⫽ 2.76, SD ⫽ 1.21),
t(26) ⫽ 3.371, p ⬍ .001, d ⫽ 1.46. Crucially, there was no
difference in the amount of action described by participants in the
high- and low-power conditions, t(32) ⫽ ⫺0.51, p ⫽ .61.
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Relationship Between Rated Power and
MEP Facilitation
In order to establish a continuous measure of the impact of
power priming on MEP facilitation during action observation, a
linear regression was run on all participants, regressing MEP
facilitation onto coder-rated power, valence, and action. The overall model was not adequate, F(3, 41) ⫽ 1.28, p ⫽ .30, owing to the
fact that the valence and action coefficients did not significantly
differ from 0: valence ⫽ 7.9%, t(41) ⫽ 1.60, p ⫽ .06; action ⫽
0.4%, t(41) ⫽ 0.10, p ⫽ .46. Interestingly, the power coefficient
was significantly different from 0, power ⫽ ⫺9.3%, t(41) ⫽
⫺1.89, p ⫽ .03, d ⫽ 0.59, suggesting that, when valence and
action are held constant, a one-unit increase in power (as operationalized by the degree of power described in the essays) predicts
a significant drop in MEP facilitation (see Figure 2B). Furthermore, to ensure that the gender imbalance between groups was not
mediating power’s effect on MEP facilitation, we added gender to
the regression. In this model, the power coefficient remained
significant, power ⫽ ⫺9.7%, t(40)⫽ ⫺1.97, p ⫽ .03, d ⫽ 0.62.
Discussion
All behavior is the result of a confluence of internal drives and
external influences (Obhi, 2012; Obhi & Haggard, 2004a, 2004b;
Obhi, Matkovich, & Gilbert, 2009; Passingham, Bengtsson, &
Lau, 2010). An important external influence is the behavior of
conspecifics, and the degree to which an individual is prone to
influence or be influenced by others is (at least partially) determined by their power (Galinsky et al., 2003). Given the suggestion
that motor resonance provides a scaffold for understanding observed actions (Brass et al., 2009; Decety & Sommerville, 2009;
Grafton, 2009; Spunt & Lieberman, 2012), and the powerful tend
to be less inclined to gain a deep understanding of the less
powerful (Anderson et al., 2003; C. M. Cheng & Chartrand, 2003;
Dalton, Chartrand, & Finkel, 2010; Galinsky et al., 2006; van
Kleef et al., 2008), we asked whether motor resonance would be
less sensitive to observed actions in high-power relative to lowpower individuals. Our results support this, and suggest a linear
relationship between power and the motor resonance system,
whereby increasing levels of power are associated with decreasing
amounts of resonance.
These results support the view that rather than seek individuating information about new interaction partners, those with power
tend to rely on stereotypes (Fiske, 1993; Fiske & Dépret, 1996;
Russell & Fiske, 2010). Since stereotyping often serves to rationalize prejudice toward a group, our results may help to explain the
previously reported link between increased prejudice and reduced
resonance (Avenanti, Sirigu, & Aglioti, 2010; Gutsell & Inzlicht,
2010).
Though several researchers agree that high power leads to
reduced processing of others’ actions and emotions relative to low
power (e.g., Fiske, 1993; Galinsky et al., 2006), some studies have
759
demonstrated an improved interpersonal sensitivity after highpower priming (Côté et al., 2011; Schmid Mast et al., 2009). By
priming high or low power and measuring the downstream impact
on motor resonance during passive action observation, the present
study helps to resolve this issue, at least with respect to what we
have termed the default effect of power. Specifically, reduced
motor resonance in high-power, relative to low-power, individuals
could represent one of the neural mechanisms underlying the
tendency for increased power to result in decreased processing of
social input in the majority of the psychological literature on
power (see also Muscatell et al., 2012).
Given that our MEP results provide a direct and online read-out
of motor resonance to a simple action stimulus, we propose that the
default effect of high power appears to be reduced interpersonal
sensitivity. That said, future work is needed to determine the
individual and situational factors that might mediate the variable
relationship between power and interpersonal sensitivity, as reported in the literature.
Future Directions
Future research will be needed to determine the mechanisms
through which power impacts motor resonance. Though it is dangerous to rely solely on brain imaging to infer mental activity (cf.
Poldrack, 2006), extant neuroimaging data are crucial for generating testable predictions for this work. In this vein, one possibility
is that the posterior superior temporal sulcus (pSTS), a brain region
that sends visual input to resonant brain areas, is inhibited or
somehow deactivated by high power. This can be thought of as an
input modulation account of our resonance effects (see also Hogeveen & Obhi, 2012; Obhi, Hogeveen, & Pascual-Leone, 2011).
Correspondingly, one prediction is that in individuals with high
power, brain activity related to perceiving observed actions (e.g.,
pSTS) might be negatively correlated with activity in regions
involved in representing the self (e.g., medial prefrontal cortex). A
similar modulatory mechanism has been put forward to explain
how beliefs about another person’s mental state might modulate
gaze processing—that is, another important source of social sensory information—in a gaze cuing paradigm (Teufel et al., 2009).
Another, not necessarily mutually exclusive possibility is that
resonant activity within the motor system is directly modulated by
power priming. Such power-dependent direct modulation of motor
cortical output could be achieved via prefrontal projections to
premotor cortex (Amodio & Frith, 2006). Changes in premotor
cortical activation could in turn reduce motor resonance for highpower individuals and increase it for low-power individuals.
Clearly, on the basis of the present data, we cannot be certain
whether any one, or some combination, of these proposed mechanisms underlies our findings.
Limitations
Regardless of the specific mechanisms, our results indicate that
power is associated with different degrees of motor resonance
during action observation, providing an important demonstration
of how power impacts the neural representation of other people.
Yet, as is the case with almost any study, there are several potential
limitations that must be noted. First, it is possible that the essay
writing procedure led to the activation of a powerful memory,
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HOGEVEEN, INZLICHT, AND OBHI
without necessarily inducing feelings of power. Although the
episodic priming procedure has an established history of modulating a variety of downstream behaviors (Galinsky et al., 2003,
2008, 2006; Obhi et al., 2012), it has typically been assumed that
this procedure activates a high- or low-power mind-set, but the
extent to which this is true has not been established. Other power
priming techniques requiring participants to think or act powerful,
akin to what we might expect when one vividly recalls a highpower experience, have found that they do indeed trigger feelings
of power (Carney, Cuddy, & Yap, 2010; Smith & Galinsky, 2010;
Smith, Wigboldus, & Dijksterhuis, 2008). Though the present data
cannot clarify that writing an essay recalling a vivid power experiences triggered a phenomenological experience of power, or
activated a semantic network containing various concepts related
to power, the fact that episodic memory recall has been found to
reactivate elements of the brain network that was engaged in the
original experience provides a solid theoretical basis for this type
of manipulation (e.g., Gelbard-Sagiv, Mukamel, Harel, Malach, &
Fried, 2008; Nyberg et al., 2001; Wheeler, Peterson, & Buckner,
2000). Furthermore, the results we observed on resonance are
consistent with what would be predicted based on the balance of
evidence on how power affects attunement to other social agents.
A second limitation of the present finding is that we cannot be
sure whether resource depletion differences were created by the
different power priming procedures (e.g., Inzlicht & Schmeichel,
2012; Muraven & Baumeister, 2000). Perhaps participants in the
high-power group spent more time and effort during the writing
phase compared to the other participants. According to this view,
differences during the subsequent TMS/action observation session
could result from a residual resource deficit in the high-power
condition relative to the neutral and/or low-power conditions.
However, essay word counts, our best estimate of time and effort
spent on the task, did not significantly differ between the power
groups (low power, M ⫽ 301, SD ⫽ 96; high power, M ⫽ 259,
SD ⫽ 110; p ⬎ .2). Oddly, the neutral group wrote significantly
longer essays than either power-priming group (M ⫽ 400, SD ⫽
142), relative to high power, t(26) ⫽ 2.96, p ⫽ .01; low power,
t(26) ⫽ 2.19, p ⫽ .04. If one were to argue that the level of effort
devoted to essay writing, as indexed by essay word count, were
driving the present results, the prediction would be a quadratic
relationship between high-, neutral, or low-power priming and
motor resonance. In contrast, our main analysis of variance demonstrates a significant linear relationship between power and motor
resonance, which, to the extent that we can reasonably ascertain, is
not consistent with a resource depletion account. Importantly, the
power coefficient remains significant when word count is included
in the regression model, t(40) ⫽ ⫺1.83, p ⫽ .04, suggesting that
resource depletion is not mediating the relationship between power
(as coded in the essays) and MEP facilitation.
Finally, there was a gender imbalance between the two power
groups, with the low-power condition containing more female
participants (n ⫽ 13) than the high-power condition (n ⫽ 11).
Since another neurophysiological index of motor resonance—
suppression of the Rolandic alpha rhythm in the electroencephalogram—is reportedly greater in female relative to male participants (Y. Cheng et al., 2008), this might suggest that gender
moderated the effect of power priming on motor resonance. However, we did not find any gender differences in MEP facilitation,
and, to our knowledge, gender differences in MEP facilitation
during action observation have not been reported in the literature.
Different patterns of results between alpha suppression and MEP
facilitation are not surprising given the recent suggestion that M1
activity may be more accurately indexed by suppression of the
adjacent beta frequency band (Hari, 2006; Lepage, Saint-Amour,
& Théoret, 2008).
Conclusion
Despite these possible limitations, the main results we report are
robust, and strongly suggest that power is negatively related to
motor resonance. Indeed, anecdotes abound about the worker on
the shop floor whose boss seems oblivious to his existence, or the
junior sales associate whose regional manager never remembers
her name and seems to look straight through her in meetings.
Perhaps the pattern of activity within the motor resonance system
that we observed in the present study can begin to explain how
these occurrences take place and, more generally, can shed light
on the tendency for the powerful to neglect the powerless, and the
tendency for the powerless to expend effort in understanding the
powerful.
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Received October 29, 2012
Revision received May 15, 2013
Accepted May 19, 2013 䡲
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