At birth, human infants and newborns of other primate species demonstrate the capacity to attend and to respond to facial stimuli provided by a caregiver. Newborn infants are also capable of exhibiting a range of facial expressions. Identification of the neural underpinnings of these capacities represents a formidable challenge in understanding social development. One possible neuronal substrate is the mirror-neuron system assumed to activate shared motor cortical representations for both observation and production of actions. We tested this hypothesis by recording scalp EEG from 1- to 7-day-old newborn rhesus macaques who were observing and producing facial gestures. We found that 5–6 Hz EEG activity was suppressed both when the infants produced facial gestures and while they were observing facial gestures of a human experimenter, but not when they were observing nonbiological stimuli. These findings demonstrate the presence of neural reactivity for biological, communicatively relevant stimuli, which may be a likely signature of neuronal mirroring. The basic elements of the mirror-neuron system appear to operate from the very first days of life and contribute to the encoding of socially relevant stimuli.
A fundamental issue in infant development is how the brain encodes facial gestures. The discovery of mirror neurons in the adult monkey (Ferrari, Gallese, Rizzolatti, & Fogassi, 2003; Gallese, Fadiga, Fogassi, & Rizzolatti, 1996; di Pellegrino, Fadiga, Fogassi, Gallese, & Rizzolatti, 1992) and studies suggesting a homologue system in humans (for a review, see Iacoboni, 2009) have prompted the idea that we encode others' behavior by mapping the observed actions or gestures onto our own neural motor representations. This mirror-neuron system (MNS) has been proposed to underlie important cognitive functions, such as understanding others' behaviors and imitation. However, little is known about its early development.
Many of the neuroscience techniques used to study the neural correlates of the MNS in adult humans and monkeys (fMRI, magnetoencephalography, PET, TMS, and single-/multi-cell electrophysiology) are not feasible with infants. However, EEG can be used to tap neural responses associated with the MNS in human infants and children (Marshall, Young, & Meltzoff, 2010; Nyström, Ljunghammar, Rosander, & von Hofsten, 2010; Southgate, Johnson, El Karoui, & Csibra, 2010; Lepage & Theoret, 2006; Oberman et al., 2005; Pineda, 2005). When adults and school-aged children plan a motor action, the 8–13 Hz EEG activity recorded over the motor cortex is suppressed, a pattern similar to that seen when adults and children view others' goal-directed actions (Hari & Salmelin, 2007; Lepage & Theoret, 2006; Muthukumaraswamy, Johnson, & McNair, 2004; Cochin, Barthelemy, Roux, & Martineau, 1999; Pfurtscheller, Neuper, Andrew, & Edlinger, 1997). The assumption that mu suppression during action observation reflects the activation of the MNS has been inferred based on data obtained during both observation and execution conditions. A recent study with human adult participants examined mu suppression using both EEG and fMRI techniques (Arnstein, Cui, Keysers, Maurits, & Gazzola, 2011). The results showed that during action observation there was a correlation between mu suppression and activity in BA 44 and the inferior parietal lobule, areas considered to be involved in the MNS (Keysers & Gazzola, 2009). Thus, there is, at the very least, some suggestions that mu suppression reflects the neural circuits that are activated during action observation.
Although EEG suppression has been reported during observation of action in human infants as young as 9–14 months old (Marshall et al., 2010; Nyström et al., 2010; Southgate et al., 2010), no study has reported the presence of this phenomenon in the newborn.
In this study, we monitored EEG reactivity in newborn rhesus macaques (Macaca mulatta) during observation and production of facial gestures to test the hypothesis that a mirroring system may be present early in life. To do this, we developed an EEG cap that could be used with infant macaques. Using MRI and X-ray scans of 1-week-old infant macaque heads (Figure 1), we positioned electrodes on this cap to record from both anterior and posterior locations. EEG data with synchronized video recordings were then collected continuously while infants were shown live presentations (Figure 2) of (a) lip smacking (LS; a rapid opening and closing of the mouth), (b) tongue protrusion (TP; repetitive protrusion and retraction of the tongue), and (c) a nonbiological control (CTRL; a white plastic disk with orthogonal red and black lines slowly rotated left and right). Previous behavioral work demonstrated that these stimuli elicit interest in macaque infants (Ferrari et al., 2006). Moreover, LS and TP elicited behavioral matched responses while the disk did not induce any significant motor activation of the mouth and the tongue. These behavioral matched responses have been interpreted as the consequence of the activation of a mirroring mechanism in which the observation of a gesture activates the same motor programs as those activated during specific motor action. We therefore considered these stimuli optimal to test our hypothesis.
Behavioral coding of the video records identified periods where the infant was quiet, still, and observing or producing LS or TP. Epochs of EEG corresponding to these epochs were extracted and submitted to a fast Fourier transform. Event-related desynchronization (ERD) was computed from the EEG power to indicate either suppression or enhancement relative to a baseline level.
Here we demonstrate desynchronization of the 5–6 Hz frequency band during both the perception and production of facial gestures suggesting the presence of an MNS at birth.
Subjects were 33 infant rhesus macaques (18 male and 15 female infants; average weight = 511.9 ± 14.0 g) who were involved in ongoing experimental protocols that required separating the infants from their mothers on Day 1 postpartum. Infants were individually housed in plastic incubators (51 × 38 × 43 cm) that each contained a 25-cm-high inanimate “surrogate mother.” During the first week of life, the surrogate mother was composed of a 16.5-cm circumference polypropylene cylinder, wrapped in fleece fabric and attached by a flexible metal component to an 11.5-cm-wide circular metal base. From the second week onward, infants were provided with a hanging surrogate mother consisting a plastic cylinder core (20 cm high and 19 cm circumference), with a wide soft cloth cover (20 × 25 cm; see Dettmer, Ruggiero, Novak, Jeyer, & Suomi, 2008). The incubator was maintained at a temperature of ∼27°C and at 50–55% humidity. Lights were on from 07:00 to 21:00 hr. Infants could see and hear other infants, but not contact them physically. All animals were hand-fed with Similac infant formula (Ross Laboratories, Columbus, OH) until they were old enough to feed independently, usually by Day 4. Formula was administered ad libitum until 4 months of age.
All testing was conducted in accordance with regulations governing the care and use of laboratory animals and had prior approval from the Institutional Animal Care and Use Committees of the National Institute of Child Health and Human Development (NICHD) and the University of Maryland.
Twelve of the original 33 infants were excluded from further analyses: four because of insufficient artifact-free EEG epochs or noncompliance during testing, three because of equipment failure, three monkeys did not complete all tasks on a given testing day, and two because their data were statistical outliers.
Because of our exclusion criteria and available testing days, we obtained usable recordings in a limited number of animals on all 4 testing days (n = 6 for LS and n = 5 for TP), whereas for most others we obtained reliable data on 4 testing days (n = 11 for LS and n = 12 for TP). The rest of the infants had reliable data or have been tested only on 1 or 2 testing days (n = 4 for LS and for TP).
Infants were tested on Days 1, 3, 5, and 7 postpartum. During each testing period, the infant was presented, in a random order, with all three conditions of the experimental procedure (see below), modified from Ferrari et al. (2006) for assessing imitation in infant macaques. Video and EEG data were recorded simultaneously while the infant observed the stimuli. A video camera (Sony Digital Video Camcorder ZR600) was positioned 0.5 m behind stimulus presentation so that the infants' behavior and attention could be easily identified.
The setup is a modification of a neonatal imitation task developed for use with infant macaques (Ferrari et al., 2006). The task had three conditions in which the infants received live presentation of stimuli from a human experimenter: (a) TP, with repeated maximal extension and retraction; (b) LS, a rapid opening and closing of the lips without sound production; and (c) a 15-cm diameter plastic disk (CTRL) with a red and black orthogonal bars painted on it and rotated 180° clockwise and counterclockwise (Figure 2).
At the beginning of a trial, a 40-sec baseline period was conducted, in which the experimenter displayed a passive or neutral facial expression (or still disk in the CTRL condition). The experimenter then displayed the stimulus for 20 sec (LS, TP, or rotating disk in CTRL) followed by 20 sec of still face (or still disk). The sequence of 20-sec moving stimuli and 20-sec still periods was repeated three times to maximize artifact-free data obtained for each infant in each condition.
Testing sessions were recorded onto DVD for behavioral coding and synchronization to EEG. During acquisition, the video signal was time-stamped with a vertical interval time code synchronized with the EEG acquisition time base, resulting in an accuracy of 33 msec. The infant's behavior was coded using the Video Coding System (James Long Company, Caroga Lake, NY). The start and end times of epochs where the infant was still and observing or imitating the stimuli and epochs when the infant spontaneously produced LS or TP were subsequently identified during behavioral analysis (frame-by-frame coding). These start and end times were then combined with the EEG analysis software, and only epochs with both artifact-free EEG and identified behavior were included in the analyses.
All tapes were visually analyzed by two coders who were blind to the durations of the experimental conditions and the occurrence of behaviors relevant for the purpose of the study. The number of frames (30 frames/sec) the infant spent looking at the experimenter were noted, as well as any motor responses in the body, arms, and/or face.
The following behaviors were coded as follows: (a) visual attention to the model (the monkey orients and looks at the stimulus), (b) LS (opening and closing of the mouth; see also 24), (c) TP (forward movements of the tongue that cross the inner edge of the lower lip; see also Ferrari et al., 2006; LS and TP responses when coded during CTRL, LS, and TP conditions), (d) arm and/or hand movements (these could include a wide range of behaviors from self-directed behaviors, such as scratching, to the uncontrolled movement of the arm in space with no apparent purpose; these movements could be often observed when newborns are trying to reach more stable posture), and (e) body movements (i.e., any movements, even minimal, of the trunk that could be associated or not to regain stability in the posture or to orient the body). Most of these movements are common reflexes that infant monkeys display early in life and could be due to the general immaturity of the skeleton/muscle or to the search of a more stable position and posture during testing.
EEG Acquisition and Analysis
A custom lycra cap (Electro-Cap International, Eaton, OH) was made and fitted with six tin electrodes with their placement based on X-rays and MRI images of a 1-week-old typical infant rhesus macaque (Figure 1A). X-ray images were superimposed on the MRI scans to assess the locations of the main sulci of the brain to establish the placement of the electrodes on the cap (Figure 1B). A plaster cast of a month-old infant skull was used to help the construction of the cap. Two posterior electrodes (P3 and P4) were placed on scalp locations approximately over the parietal cortex, and two anterior electrodes (A3 and A4) were placed approximately over the premotor cortex (Figure 1C). The vertex served as reference; the ground electrode was above the forehead. The infants' heads were shaved, and a mild abrading gel was applied to clean the scalp and improve impedances. Impedances were kept below 20 kΩ. EEG was band-pass filtered from 0.1 to 100 Hz, digitized with a 16-bit A/D converter (±5 V input range) and sampled at 1000 Hz. Epochs contaminated with artifacts were removed from subsequent analyses. Epochs of clean EEG that coincided with epochs identified by the behavioral coding were analyzed with fast Fourier transform using a 1-sec Hanning window with 50% overlap, and spectral power (μV2) was computed for 1-Hz bins from 2 to 9 Hz. All data processing was performed using EEG Analysis System software (James Long Company). Infants providing less than 3 sec of EEG uncontaminated by movement artifact (determined through both automatic artifact scoring and behavioral coding) were excluded from further analyses.
Event-related suppression of brain rhythms was computed for each testing day (i.e., 1, 3, 5, and 7) as ([S − B]/B) × 100, wherein S is the absolute power in a particular frequency band while the monkey observed the stimulus presentation (for observation analyses) or produced a facial gesture (for execution analyses) and B is the absolute power in a particular frequency band during periods of EEG in which the stimulus was still and the monkey's gaze was directed toward the experimenter (see Marshall, Young, & Meltzoff, 2010). The scores were then averaged across the total number of testing days for each monkey to quantify either suppression (i.e., decrease in band power relative to the baseline) or enhancement of the brain activity.
We used within-subjects repeated-measures ANOVA with Greenhouse–Geisser correction for violations of sphericity to examine the EEG data. Main effects and interactions were followed up using two-tailed paired t tests. The regions analyzed were as follows: anterior (A3 and A4) and posterior (P3 and P4).
Thirty-three infant rhesus macaques were tested four times in their first week of life (i.e., at ages of 1–2 days, 3–4 days, 5–6 days, and 7–8 days); we report here on reliable EEG data of 21 infants during observed trials and 15 infants who produced either LS or TP during either task. We first considered EEG reactivity in the 2–4 Hz, 5–6 Hz, and 7–9 Hz frequency bands during LS and TP gesture production. The choice of these frequency bands was driven by a number of factors. First, the majority of EEG power in newborn infant macaque is located between 2 and 9 Hz. Second, studies in human infants as young as 9 months show that frequencies between 5 and 9 Hz are responsive to biological visual stimulation (Marshall et al., 2010; Nyström et al., 2010; Southgate et al., 2010; Marshall, Bar-Haim, & Fox, 2002; Stroganova, Orekhova, & Posikera, 1999) and are suppressed during motor planning and observation of goal-directed actions (Marshall et al., 2010; Nyström et al., 2010; Southgate et al., 2010).
To examine the EEG suppression during LS and TP execution, we performed a 2 Condition (LS, TP) × 3 ERD (2–4 Hz, 5–6 Hz, 7–9 Hz) × 2 Region (anterior, posterior) × 2 Hemisphere (left, right) ANOVA on the 15 subjects who displayed both gestures (LS and TP), which revealed only a main effect for ERD [F(2, 28) = 4.24, p < .05, ɛ = 0.642]. Follow-up comparisons revealed that the ERD in the 2-4 Hz band (mean = 1.8, SD = 21.1) was significantly different from the ERD of the 5–6 Hz band [mean = −16.0, SD = 12.4; t(14) = 3.68, p < .005] but not from the ERD of the 7–9 Hz band [mean = −9.5, SD = 23.8; t(14) = 1.39, p = ns]. The magnitude of the ERD of 5–6 Hz and 7–9 Hz bands did not differ from each other [t(14) = 1.30, p = ns]. Because the effects of Condition, Region, and Hemisphere were not significant, we averaged ERD across LS and TP execution conditions and across anterior and posterior electrodes for both hemispheres to quantify the suppression in the 2–4 Hz, 5–6 Hz, and 7–9 Hz bands. The independent one-sample t test revealed statistically significant desynchronization in the 5–6 Hz band [t(14) = 5.01, p < .001], but not in the 2–4 Hz or 7–9 Hz bands [t(14) = 0.34, p = ns and t(14) = 1.55, p =ns, respectively]. All of the 15 infants showed suppression in the 5–6 Hz band. Figure 3 summarizes these results. As the 5–6 Hz band displayed the greatest change from baseline during gesture execution, we used this frequency band to compare ERD while the infants observed biological versus non-biological movements.
We compared the observation-related ERD suppression in the three experimental conditions. The 3 Condition (LS, TP, and CTRL) × 2 Region × 2 Hemisphere analysis on 21 infants revealed a main effect of Condition [F(2, 40) = 4.53, p < .05] qualified by a Condition × Region interaction [F(2, 40) = 3.48, p < .05]. Paired comparisons (t tests) revealed significant suppression in the LS and TP conditions in the anterior [A3/4; t(20) = 3.27, p < .005 and t(20) = 2.26, p < .05, respectively] but not in the posterior [P3/4; t(20) = 1.22, ns and t(20) = 1.57, p = ns, respectively] electrodes when compared with CTRL. LS and TP conditions did not differ at either region location. Sixteen of 21 subjects showed this pattern of suppression. Figure 4 illustrates a summary of these results.
To the best of our knowledge, this is the first study to examine scalp EEG in newborn rhesus macaque. Our results demonstrate the presence of a 5–6 Hz EEG rhythm that is suppressed both when the newborn macaque is observing facial gestures and when a male or female infant is producing the same gesture. We did not find suppression in response to nonbiological movements. This suppression cannot be attributed to skeletomotor activation, because we excluded from the analysis, on the basis of behavioral video data, all epochs in which infants displayed even minimal movement. Although newborn monkeys often displayed poor motor control with involuntary muscle contraction, these involuntary contractions disappeared or were attenuated when the infants were attending to relevant stimuli; the movements were detectable in a detailed behavioral analysis of the video data. We are thus confident that the EEG epochs used for the observation analyses were not contaminated by overt movements.
The sensitivity of 5–6 Hz EEG activity to the production and observation of facial gestures but not of other relevant non-biological movements suggests that this frequency band acts similarly to the mu rhythm in humans (Marshall et al., 2010; Nyström et al., 2010; Southgate et al., 2010; Cheng, Yang, Lin, Lee, & Decety, 2008; Caetano, Jousmäki, & Hari, 2007; Lepage & Theoret, 2006; Muthukumaraswamy, Johnson, Gaetz, & Cheyne, 2006; Oberman et al., 2005; Pineda, 2005; Hari et al., 1998). In adults, EEG desynchronization is measured within the 9–13 Hz band (Marshall & Meltzoff, 2011). However, the mu frequency appears to be centered at lower frequencies (5–9 Hz) in human infants (Marshall & Meltzoff, 2011; Nyström et al., 2010; Southgate et al., 2010). A recent magnetoencephalography study investigated how the mu rhythm changes from the first month of life in human infants through to preschool children by means of a motor task that required the subject to squeeze an object (Berchicci et al., 2011). The results showed that, at around 18 weeks of age, infants exhibit a mu peak EEG frequency at 4.4 Hz. Thus, the EEG frequency band we identified as being sensitive during newborn monkeys executed/observed facial gestures appears compatible with the mu rhythm found in human infant studies.
In humans, the mu rhythm is suppressed during the execution and observation of hand actions (Marshall, Bouquet, Shipley, & Young, 2009; Lepage & Theoret, 2006, 2007; Muthukumaraswamy et al., 2006; Pineda, 2005). However, this suppression is not limited to viewing hand or body actions. In fact, in a recent study, it has been found that in human adults the mu rhythm suppression is present while viewing facial gestures expressing different types of emotions (Moore, Gorodnitsky, & Pineda, 2012), suggesting that desynchronization in EEG mu occurs in relation to biological meaningful actions as well as to facial gestures.
The correspondence in EEG activity between execution and observation has led to the proposal that the mu rhythm is a signature of MNS involvement in humans (Arnstein et al., 2011; Marshall & Meltzoff, 2011; Marshall et al., 2009, 2010; Lepage & Theoret, 2006, 2007). Our data are consistent with the human literature in demonstrating specific EEG suppression during observation and execution of facial gestures.
The current results have two major implications for our understanding of the ontogeny of the MNS. First, these data provide evidence (albeit indirect in that there were no direct recordings from specific neurons in monkey cortex) that a MNS is present very early in life. Previous studies with human infants as young as 9–14 months old have shown suppression of the mu rhythm during observation of hand actions (Marshall et al., 2010; Nyström et al., 2010; Southgate et al., 2010), suggesting the presence of an MNS during the first year of life. However, until now, no study has examined EEG suppression in the one period immediately following birth. We now demonstrate, as previously proposed (Ferrari, Bonini, & Fogassi, 2009; Lepage & Theoret, 2007; Ferrari et al., 2006), that the basic elements of this system operate from the very first days of perinatal life.
Second, it has been proposed that the MNS underlies important behaviors, such as imitation (Iacoboni, 2009; Buccino et al., 2004; Iacoboni et al., 1999). In humans, the mu rhythm has been shown to suppress during the observation and later imitation of novel actions (Marshall et al., 2009, 2010). In human infants, neonatal imitation may be an early learning mechanism for the acquisition of more complex social behaviors (e.g., empathy and theory of mind; Meltzoff, 2002; Meltzoff & Moore, 1977). The current findings demonstrate that, during observation and the production of the same facial gestures, suppression of the 5–6 Hz EEG signal is a sensitive marker for biological movement. Furthermore, they suggest that the early elements of the MNS may contribute to the neonatal imitation phenomena (Ferrari et al., 2006, 2009) and may be foundational for learning complex social behaviors.
It should be noted that the EEG suppression during gesture production differed from that seen during the observation of action, as the former was associated with EEG suppression in both anterior and posterior electrodes. This may be a result of the additional contribution of cortical networks involved in motor control and associated somatosensory feedback likely involving parietal-premotor circuits. In monkey electrophysiological single-cell recordings, mouth mirror neurons have been found in the ventral premotor, but not consistently in the posterior parietal cortex, although both areas contain neurons firing for execution of mouth actions (Rozzi, Ferrari, Bonini, Rizzolatti, & Fogassi, 2008; Ferrari et al., 2003). Recent neurophysiological investigations in the monkey and human fMRI demonstrated activation of primary motor areas for execution and perception of others' actions (Arnstein et al., 2011; Raos, Evangeliou, & Savaki, 2007; Tkach, Reimer, & Hatsopoulos, 2007). Thus, during the production of mouth gestures in addition to the ventral premotor areas, other motor and somatosensory cortical sectors are likely involved.
The presence of a functional mirroring system soon after birth provides infants important advantages, including the capacity to detect and respond to relevant social stimuli in their immediate environment. Such a mechanism might facilitate communicative exchanges with the caregiver and caregiving toward the infant. Our knowledge on the basic functioning of the MNS at birth will be of importance for understanding and detection of possible deficits emerging during development that may compromise infant's social and cognitive faculties.
We thank Giacomo Rizzolatti, Leonardo Fogassi, and Riitta Hari for useful comments on an earlier version of the manuscript. This research was supported by P01HD064653-01 NIH grant to F. P. F. and N. A. F. and the Division of Intramural Research, NICHD.
Reprint requests should be sent to Pier Francesco Ferrari, Dipartimento di Neuroscienze, Università di Parma, Via Volturno 39, 43100 Parma, Italy, or via e-mail: email@example.com.
These authors equally contributed to this study.