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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Cogn Affect Behav Neurosci. Author manuscript; available in PMC Mar 1, 2013.
Published in final edited form as:
PMCID: PMC3267862
NIHMSID: NIHMS344674
Remembering first impressions: Effects of intentionality and diagnosticity on subsequent memory
Roee Gilron and Angela H. Gutchess
Brandeis University
Contact information: Dr. Angela Gutchess, Department of Psychology, Brandeis University, 415 South Street, MS 062, Waltham, MA 02454-9110, gutchess/at/brandeis.edu, Phone: (781) 736-3247, Fax: (781) 736-3291
People rely on first impressions every day as an important tool to interpret social behavior. While research is beginning to reveal the neural underpinnings of first impressions, particularly through understanding the role of dorsal medial prefrontal cortex (dmPFC), little is known about the way in which first impressions are encoded into memory. This is surprising because first impressions are relevant from a social perspective for future interactions, requiring that they be transferred to memory. The present study used a subsequent memory paradigm to test the conditions under which the dmPFC is implicated in the encoding of first impressions. We found that intentionally forming impressions engages the dmPFC more than incidentally forming impressions and that this engagement supports the encoding of remembered impressions. In addition, we found that diagnostic information, which more readily lends itself to forming trait impressions, engages the dmPFC more than neutral information. These results indicate that the neural system subserving memory for impressions is sensitive to consciously formed impressions. The results also suggest a distinction between a social memory system and other explicit memory systems governed by the medial temporal lobes.
Keywords: memory, impression formation, prefrontal cortex, medial temporal lobes
First impressions have a profound effect on our everyday lives. We use them to determine who we should approach and who we should avoid. They can be a deciding factor in mate choice, trustworthiness judgments and hiring decisions. Moreover, there is evidence that they may influence court decisions (Zebrowitz & McDonald, 1991; Zebrowitz & Montepare, 2008), election results (Olivola & Todorov, 2010; Verhulst, Lodge, & Lavine, 2010), and professional evaluations (Ambady & Rosenthal, 1993). A growing number of studies are examining the way in which we quickly and automatically make trait impressions of others and use that knowledge (Cloutier, Kelley, & Heatherton, 2010; Uleman, Saribay, & Gonzalez, 2008; Van Overwalle, 2009; Van Overwalle & Labiouse, 2004) but few (Harvey, Fossati, & Lepage, 2007; Mitchell, Macrae, & Banaji, 2004; Schiller, Freeman, Mitchell, Uleman, & Phelps, 2009) have examined the conditions under which we remember these impressions. This is surprising because it is the memory of these impressions that has the capacity to influence our future actions. Though current research suggests that we are experts at forming quick automatic impressions, little is known about the processes that support retaining these impressions in long term memory.
Though much can be learned about first impressions from behavioral measures, an investigation of the factors that influence first impression formation and the corresponding neural underpinnings allows one to ask more nuanced questions about forming impressions and their storage in memory. Accumulating evidence in the memory literature suggests that the broad distinction between the neural substrates supporting semantic, episodic and procedural memory may also extend to distinct classes of elaborative semantic encoding processes, perhaps including those in the social domain. Based on their review of the literature, Macrae and colleagues suggest that largely disparate neural networks are activated during the successful formation of memories in response to verbal, visual, emotional and self-referential processing, consistent with the idea that different processes contribute to the formation of distinct varieties of episodic memories (Macrae, Moran, Heatherton, Banfield, & Kelley, 2004). Recent investigations have upheld this division, in particular as it relates to the processing of social and emotional information (Gutchess, Kensinger, & Schacter, 2010; Haas & Canli, 2008; Harvey, et al., 2007; Mitchell, et al., 2004). Though the hippocampus plays a key role in the encoding network for memory for many classes of information, additional disparate brain regions support specific sub-categories. Thus, similar to a comparable system which aids in encoding emotional information into memory (Schacter, Gutchess, & Kensinger, 2009) there may be a dedicated system for encoding first impressions (and more broadly, social information) into memory. Given how important social interaction is to the human condition, we would expect to find evidence for the contributions of a social cognition network to the encoding of first impressions into memory.
Applying a social neuroscience approach to understand how people form impressions of others advances our understanding of the component processes and the feedforward and feedback loops that shape our perceptions of others (for reviews see Ames, Fiske, & Todorov, in press; Rule & Ambady, 2008). A number of neural regions respond to impression formation, reflecting the complexity of the processes involved and the interconnectedness of the network that allows impressions to be invoked so instantaneously. These regions include the amygdala, which responds to emotional and evaluative conditions (Schiller, et al., 2009) and appearance-based cues, such as trustworthiness (Said, Baron, & Todorov, 2009; Winston, Strange, O'Doherty, & Dolan, 2002), the caudate nucleus, which responds to reward and feedback (Delgado, Nystrom, Fissell, Noll, & Fiez, 2000), the superior temporal sulcus, which responds to others’ intentions (Saxe, Xiao, Kovacs, Perrett, & Kanwisher, 2004), and the fusiform gyrus, which is invoked by face processing (Winston, Henson, Fine-Goulden, & Dolan, 2004). The dorsal medial prefrontal cortex (dmPFC), a region in the frontal cortex, has been particularly implicated in impression formation, as well as a wide array of social processes (Amodio & Frith, 2006; D'Argembeau et al., 2007; Harvey, et al., 2007; Macrae, et al., 2004; Mitchell, Cloutier, Banaji, & Macrae, 2006; Mitchell, et al., 2004; Mitchell, Macrae, & Banaji, 2005, 2006). Furthermore, virtually all studies that have investigated first impressions in their manifestation as trait judgments have implicated the dmPFC (Mason, Dyer, & Norton, 2009; Mitchell, 2008; Mitchell, Ames, Jenkins, & Banaji, 2009; Mitchell, Cloutier, et al., 2006; Mitchell, et al., 2004, 2005; Mitchell, Macrae, et al., 2006; Todorov, Gobbini, Evans, & Haxby, 2007; with the exception of Heberlein and Saxe (2005) whose control was an emotional task, which may also engage dmPFC). Not only does the dmPFC respond to social information but it also mediates the encoding of first impressions into memory (Mitchell et al., 2004). In Mitchell et al’s (2004) study, participants read sentences depicting actions that were paired with a picture of a face. Participants were asked to either form an impression of the face-sentence pair or remember the sequence of the presented actions. While forming an impression, dmPFC activity was higher when the face statement pair was later remembered compared to later forgotten. However, activity in this region did not predict successful encoding when participants were oriented to the sequence of statements. In contrast, the right hippocampus predicted successful encoding for the sequencing task but not for the impression task. This study suggests that successful encoding of social information, but not nonsocial information, may be mediated by the dmPFC.
DmPFC contributes not only to the encoding of impressions, but also is more engaged under specific conditions of impression formation. Mitchell et al. (2006) found that the dmPFC was sensitive to the nature of the information on which an impression was based. Participants viewed face-sentence pairs with sentences depicting actions that were either diagnostic for a specific trait (i.e., conveyed information that allowed one to form an impression such as generous, boring, lazy, or friendly) or non-diagnostic (i.e., behaviors that do not strongly indicate a specific personality trait such as, “he photocopied the article”). When participants were told to form an impression, dmPFC was engaged, but the activity did not differ for diagnostic vs. non-diagnostic information, suggesting that the region is highly engaged when forming impressions, regardless of the content of the information. However, when impression formation was unintentional (i.e., participants focused on the sequences in which statements were presented), dmPFC response differentiated diagnostic from non-diagnostic trials. This suggests that when incidentally forming impressions, the region selectively and spontaneously responds to information that supports impression formation, and that it can be engaged when attempting to form an impression consciously, even when the available information does not indicate a particular trait.
Taken together, these studies highlight the important role that the dmPFC plays in encoding first impressions. However, the conditions under which the region contributes to impression formation are little understood. Mitchell’s (2006) surprising finding that the dmPFC does not differentiate between diagnostic and neutral information when people explicitly attempt to form impressions (although this is not the case for implicit impression formation), suggests that an individual’s goals and the type of information with which he is presented would have implications for how impressions are stored in memory for future use. Importantly, this study did not test memory, so it is unknown if these differential effects also influence the encoding of trait impressions into memory.
In addition to the dmPFC one may expect to find that structures implicated in memory formation such as the hippocampus and medial temporal lobes would also support memory for impressions. However, the hippocampus did not emerge in a study investigating the encoding of impressions, and in fact was only implicated in forming memories for the non-social sequencing comparison condition (Mitchell et al., 2004). This is consistent with the patient literature, in which patients with damaged hippocampi are able to learn trait associations to faces, but not when the amygdalae and temporal lobes are damaged (Todorov & Olson, 2008) and circumstantially from patient H.M. who exhibited some semantic knowledge of famous people post-operatively (O'Kane, Kensinger, & Corkin, 2004). In the neuroimaging literature, however, it is unclear whether Mitchell et al.’s (2004) use of a sequencing task is the best non-social comparison task with which to assess the contribution of the hippocampus to the encoding of impressions because the hippocampus is implicated in sequencing, regardless of memory demands (Eichenbaum, 2004; Lehn et al., 2009). A comparison task that is not known to be hippocampally-dependent may be more appropriate to test the involvement of the dmPFC and the hippocampus in the successful formulation of memories.
Thus, we can make a number of predictions regarding the function of a dedicated social memory system. We would expect this system to respond differentially based on intentionality such that intentionally formed impressions would contribute to encoding success differently than incidentally formed impressions. Though some research suggests that intentionality does not affect processing of trait impressions (Todorov & Uleman, 2003; J. Willis & Todorov, 2006), other research suggests that additional neural regions are recruited during intentional impression formation, perhaps reflecting broader consideration of the available information in order to confirm initial impressions (Ma, Vandekerckhove, Van Overwalle, Seurinck, & Fias, 2011). Explicit effort supports the ability to recognize emotional facial expressions, although implicit conditions reveal impairments in patients with lesions to the orbitofrontal cortex (M. L. Willis, Palermo, Burke, McGrillen, & Miller, 2010). Given the importance of the orbitofrontal cortex to emotional processing, this finding suggests that explicit judgments recruit and utilize additional resources compared to implicit impression formation. Mitchell et al. (2006) also found differences in dmPFC activation in implicit but not explicit person perception, suggesting that additional resources may be recruited when explicitly forming impressions even for non-diagnostic events. Thus, we would expect information that easily lends itself to forming trait impressions (e.g., diagnostic) would engage dmPFC structures, as well as contribute to encoding success more than neutral information.
Thus, our study attempts to investigate the neural mechanisms supporting the encoding of trait impressions into memory. It aims to assess the importance of one’s state of mind (intention to form an impression) and the type of information we are presented with (whether it is diagnostic of a particular trait, or not) when making trait impressions, and the way in which these factors influence the social cognition network in the brain.
Participants
22 participants (11 male) completed the study (M age = 21.8, SD = 3.28) in exchange for payment of $25 an hour. Two participants were excluded from analysis (1 male, 1 female), one for excessive movement in the scanner (> 10 mm), and the other for near chance performance (52.3% across all conditions) on the task. All participants signed informed consent forms, and were screened for fMRI eligibility, including right-handedness, English learned before the age of eight, good neurological, psychological, and physical health, and the absence of medications that affect the central nervous system and devices or implants contraindicated for MR scanning. The protocol was approved by the Brandeis University and the Massachusetts General Hospital Institutional Review Boards.
Materials and procedure
Encoded stimuli consisted of 240 face-sentence pairs, and half of the faces (120) were female and half were male. The faces had neutral expressions and were evenly distributed across four different age groups ranging from 18–89, and each face was displayed once during encoding. Faces were color photographs selected from the Center for Vital Longevity Face Database: https://pal.utdallas.edu/facedb/request/index
The first independent variable was the type of encoding task performed by the participants: impression based or semantic based. During the encoding phase, participants were asked to make one of two judgments regarding each face-sentence pair. One task emphasized the semantic nature of the behavior by asking participants to indicate whether the action the person performed took place at home or away from home (SEM), to serve as a comparison task that was not highly social or evaluative. In the other task, participants were asked to think of a trait that described the person depicted in the face sentence pair and decide if this trait was positive or negative (IMP), a highly social task.
The content of the sentences served as the second independent variable. Half of the sentences (120) were diagnostic, in that they implied one of 24 traits (e.g., boring); 12 traits were positive and 12 negative1. All of the diagnostic sentences were previously used in studies by Mitchell et al. (2004, 2006), and neutral ones were created by the experimenters. The remaining 120 sentences were ‘neutral’ and described an action that did not readily lend itself to a trait judgment, such as “He made a peanut butter and jelly sandwich.” Each sentence appeared below a face during the encoding phase (see Figure 1). Participants were not asked to intentionally memorize the face-sentence pairs.
Figure 1
Figure 1
Experimental Display at Encoding and Retrieval
Participants performed the task during six functional runs, each lasting six minutes and consisting of 40 face-sentence pairs, with 20 male and 20 female targets. The faces were equally distributed across each age group. Face-sentence pairs were pseudorandomly assigned to either the SEM (non-social) or IMP (social) condition, for a total of four experimental conditions: SEM-diagnostic; SEM-neutral; IMP-diagnostic; IMP-neutral. Each face-sentence pair was presented for 6 seconds, in which the participants made a response with a button press to indicate “home” or “not home” for SEM judgments and “positive” or “negative” for IMP judgments (see Figure 1). The 6 second trial length was necessary because reaction times to longer sentences were approximately 5 seconds, due to the amount of information to be processed (e.g., condition label, face, sentence). Baseline trials in which participants saw a fixation cross were intermixed throughout the run. Trials were presented in a jittered design with inter-trial intervals ranging from 0–12 seconds, and ordered using optseq2 (Dale, 1999).
Stimuli were assigned to conditions in a within subject design. Four counterbalanced versions were used in order to account for stimulus-specific effects. Across participants, face- sentence pairs originally coupled with the SEM (non-social) task were re-coupled with the IMP (social) task and vice versa, and new face sentence pairs were formed in an attempt to reduce face-specific effects. Both pairs were counterbalanced for trait (i.e., faces previously paired with diagnostic statements were now paired with neutral statements and vice versa) and gender (i.e., sentences paired with a female face were switched so that they were paired with a male face)2.
Between the encoding and retrieval phases, there was an approximately 12 minute retention interval during which time structural images of the brain were acquired and participants did not perform any task. During the retrieval phase participants saw two faces and a target sentence that was previously paired in the encoding phase with one of the faces (see Figure 1). Participants chose the face they remembered as having been paired with the target sentence during encoding and indicated their response with a button press during the 6 second trial interval. Similar to encoding, participants completed 40 trials during each of the six runs; each run lasted six minutes. Each face was presented twice during recognition, once as the correct answer and once as a lure, and whether each particular face appeared first as a correct answer or a lure was counterbalanced across participants. The first three retrieval runs contained novel face pairs, whereas in the remaining runs the same pairings of faces were repeated with the remaining sentences. Face pairs were always from the same age group and matched on gender. In addition, faces were matched across condition (e.g., a face originally encoded in the IMP condition was paired with a lure also encoded in the IMP condition) but not matched in terms of sentence diagnosticity. Runs were also balanced with regards to encoding conditions such that face-sentence pairs from all conditions present at encoding were included in each encoding run. Retrieval data will be analyzed as a separate study.
Prior to the encoding and retrieval stages of the experiment, participants practiced the task with additional face-sentence pairs. Participants also completed measures to assess cognitive ability, including the vocabulary subscale of the Shipley Institute of Living Scale (Shipley 1986) and the digit comparison task (Hedden et al. 2002; modeled after Salthouse & Babcock’s (1991) Letter Comparison Task) to measure speed of processing. The experimental task was presented using E-Prime software (Psychology Software Tools, Pittsburgh, PA) which also recorded participants’ yes/no responses and reaction times from a button box.
Image acquisition and data analysis
Data were acquired with a Siemens Avanto 1.5T scanner, using an echo-planar imaging (EPI) sequence (TR = 2000 ms, TE = 40 ms, FOV = 200 mm, flip angle = 90°) to acquire 26 AC/PC oriented slices 3.2 mm thick with a 10% skip. Slices covered most of the cortex, with the exception of the dorsal portion of the parietal lobes and the ventral portion of the temporal lobes. Stimuli were back-projected onto a screen behind the scanner, and viewed by the participants using a mirror attached to the head coil. High-resolution anatomical images were acquired using a multi planar rapidly acquired gradient echo (MP-RAGE) sequence.
Pre-processing and data analysis were conducted with SPM5 (Wellcome Trust Centre for Neuroimaging, London, UK). Functional images were slice-time corrected, realigned to the first image to correct for motion, normalized to the Montreal Neurological Institute template, resampled to 3 mm cubic voxels, and spatially smoothed using a 6 mm full-width half maximum isotropic Gaussian kernel (Dale, 1999).
We used a subsequent memory (Dm) paradigm in order to sort our imaging results according to the success of memory formation (Wagner et al., 1998). In a Dm paradigm one separates encoding trials based on the success of memory formation (i.e., whether the trials were later remembered or forgotten at the time of retrieval). Thus, we used recognition data to distinguish all face-sentence pairs that were incorrectly identified at retrieval and binned these as ‘forgotten’. We then binned all of face-sentence pairs that were correctly identified at retrieval as ‘remembered’. This analysis approach, applied to the encoding data, allows one to identify brain regions that are more engaged during the successful encoding of information (i.e., remembered > forgotten) and will be referred to as a Dm effect.
To model each participant’s data, events were convolved with a canonical hemodynamic response function in an event-related design. A total of eight regressors were created for the combination of conditions: orientation at encoding (IMP/SEM), sentence diagnosticity (Diagnostic/Neutral), subsequent memory (Remembered/Forgotten), and a ninth regressor was included for participants who had trials with no response. Regressors were also created to model the six separate runs. Contrasts of interest were defined using these regressors of interest and then estimated on each participant’s fMRI data.
In addition to the regressors stemming from the study design, we introduced a parametric regressor when modeling the data to control for the effects of face attractiveness. Face attractiveness has the capacity to influence first impressions, most notably by adding to a general positive impression (Langlois et al., 2000) as well as activating the social network (such as dmPFC) (Ishai, 2007; Liang, Zebrowitz, & Zhang, 2010). To control for these effects, we added an attractiveness rating for each face as a parametric regressor. Ratings were based on the average attractiveness rating provided by a separate sample of 15 participants (9 Male) in the laboratory. Participants responded to the prompt of “how attractive is this person?” on a 1–7 scale.
We then pooled the relevant contrasts across participants in a series of random effects whole brain group analyses. These were thresholded at p<.001 at the voxel-level and with a spatial extent threshold of 10 voxels. Note that this threshold surpasses an overall correction level of p<.05, which can be achieved through the combination of a voxel-level correction of p<.001 and a cluster-level threshold of 7 voxels. To estimate the cluster-level threshold, we used a script that determined the number of contiguous voxels required to achieve an overall correction of p<.05, based on the parameters of the data (e.g., slice thickness) and the selected voxel-level threshold (as in Slotnick, Moo, Segal, & Hart, 2003). We highlight regions in medial prefrontal cortex (particularly BA 10/32/8) because prior studies have identified these regions as relevant for the encoding of social information (Amodio & Frith, 2006; Harvey, et al., 2007; Mitchell, Cloutier, et al., 2006; Mitchell, et al., 2004; Schiller, et al., 2009). We also focused on medial temporal regions which have been broadly implicated in explicit encoding processes (Macrae, et al., 2004; Squire, 2004), although to date, little evidence has associated MTL with the encoding of social information. By comparing two different types of tasks (IMP/SEM), we have the potential to distinguish the involvement of MTL regions in the encoding of social stimuli during conditions conducive to impression formation, relative to more semantic or knowledge-based conditions. This may be a sensitive comparison with which to reveal a role for this region in the encoding of social stimuli or further support the separation of a ‘social memory system’ from an MTL-based explicit memory system.
To explore memory effects in regions that responded to information relevant for impression formation, we first identified regions responding to the social relevance of the information as an effect of the orientation of the participant (IMP vs. SEM) or the content of the information (DIAG vs. NEU) in whole brain contrasts. We identified medial prefrontal and medial temporal regions emerging from these analyses, and in a second step, probed these regions for orthogonal effects of memory by focusing on interactions or main effects of memory (Remembered/Forgotten). This allowed us to assess the extent to which regions involved in the processing of social information also respond to memory formation. To characterize the activity in each individual condition, we used MarsBar (Brett, Anton, Valabregue, & Poline, 2002) in order to extract percent signal change from each ROI, based on the three factors of interest (Intentionality, Diagnosticity, Memory), each with two levels. Participants formed first impressions with an intentional focus on social information (IMP) or incidentally with a more semantic, non-social focus (SEM), the sentences were either diagnostic or neutral, and these pairs were either remembered or forgotten.
As an additional test of the involvement of MTL in the encoding of social information, we conducted an a priori ROI analysis on MTL regions. To do so, we created anatomical masks of MTL regions including hippocampal, parahippocampal, and amygdala regions using PickAtlas software (Maldjian, Laurienti, Kraft, & Burdette, 2003). We then applied these masks to the SPM analyses. While this ROI analysis overlaps with the whole-brain approach described earlier, it offers a more lenient test to detect the contribution of MTL regions to the encoding of social information, regions that have not emerged in the literature to date.
Behavioral results
We conducted a 2X2 repeated measures ANOVA to probe the effects of sentence diagnosticity (diagnostic/neutral) and task orientation (IMP/SEM) on memory performance. We found a main effect for sentence diagnosticity such that diagnostic (M= 69.7%, SD 8.2%) face-sentence pairs were better remembered than neutral (M= 64.4%, SD 8.4%) face-sentence pairs, F(1,19) = 21.4, p <.001, ηp2 = .53. Surprisingly memory performance was not significantly better in the IMP condition (M= 67.9%, SD 8.9%) than the SEM condition (M=66.2%, SD 8.5%), F(1,19) = .67, p = .42, ηp2 = .03. The interaction was not significant (F < 1). See data in Figure 2.
Figure 2
Figure 2
Memory Effects. Behavioral results indicate that Diagnostic face-sentence pairs (leftmost bars) are better remembered than Neutral ones (rightmost bars).
FMRI Results
As expected, our neuroimaging analysis contrasting task orientation (IMP > SEM) identified neural regions previously implicated in person evaluation, particularly medial prefrontal cortex. This contrast yielded brain regions that responded more to intentionally formed impressions with a social focus (IMP) than to incidentally formed impressions (SEM) and suggests that intentional impression formation evokes more social (e.g., medial prefrontal), emotional (e.g., orbitofrontal and insula), and semantic (temporal lobes) processing than incidental impression formation (Table 1). Of the regions that emerged in the IMP>SEM contrast we selected two ROIs in medial prefrontal regions as well as anterior cingulate cortex, for further analysis of memory effects (bolded in Table 1), because in previous research these regions have shown robust activation in response to person evaluation, particularly during successful encoding of information into memory (Harvey, et al., 2007; Mitchell, 2008; Schiller, et al., 2009). No mPFC or MTL regions emerged from the contrast of SEM > IMP.
Table 1
Table 1
MNI coordinates of neural activations for the contrasts of the social Impression Formation (IMP) vs. the non-social Semantic (SEM) conditions. Data are thresholded at p < .001 (uncorrected) with a 10 voxel extent threshold. Up to three local maxima, (more ...)
A region in dmPFC (3,30,42; see Figure 3) near those previously implicated in person evaluation was the only region to exhibit effects of encoding success. The region was initially selected from the random effects analysis because it revealed a main effect of Intentionality (verified in the ROI analysis; F(1,19) = 22.06, p < .001, ηp2 = .53) with greater de-activation for the SEM (non-social) condition than the IMP (social) condition. In addition, there was an orthogonal main effect of Diagnosticity (F(1,19) = 331, p < .001, ηp2 = .94) with greater de-activation for diagnostic (M= −.88% SD=.39) than neutral sentences (M= −.36% SD=.35). In addition we found an interaction between Intentionality and Memory (F(1,19) = 4.55, p < .05, ηp2 = .19) such that a Dm effect emerged for the IMP condition but not the SEM condition. To characterize the nature of the memory effects across conditions, we conducted two way ANOVAs separately for the IMP (social) and SEM (non-social) conditions with factors of Diagnosticity (diagnostic/neutral) and Memory (remembered/forgotten). For intentionally formed impressions (IMP), a main effect for Memory (F(1,19) = 6.34, p < .03, ηp2 = .25) emerged such that the dmPFC deactivated more for remembered than forgotten sentences. For incidentally formed impressions (SEM), we did not find a main effect of memory (p = .47). None of the other ROIs selected in the contrast of IMP>SEM reached significance in ANOVAs with diagnosticity or memory factors.
Figure 3
Figure 3
Subsequent memory effects in dmPFC. A region in the dmPFC (3,30,42), which emerged from the contrast of Impression > Semantic, showed an interaction of orientation with memory. IMP refers to the Impression Formation (social) condition, SEM refers (more ...)
The contrast of Diagnostic and Neutral revealed a number of regions suggesting classic memory networks (e.g., hippocampus) and social processes (e.g., mPFC) in addition to lingual and fusiform gyri likely consistent with increased processing time for diagnostic sentences (as discussed in Mitchell et al., 2006). As in Mitchell et al. (2006) we found activity in the dmPFC associated with person perception. We performed ANOVAs on medial prefrontal and MTL regions (bolded in Table 2) but none of the ROIs returned significant main effects or interactions involving memory.
Table 2
Table 2
MNI coordinates of neural activations for the contrasts of Diagnostic (DIAG) vs. Neutral (NEU). Data are thresholded at p < .001 (uncorrected) with a 10 voxel extent threshold. Up to three local maxima, separated by at least 8mm, are displayed; (more ...)
In the a priori ROI analyses of MTL regions, based on anatomical masks, no significant effects involving memory emerged in the contrast of IMP > SEM or Diagnostic > Neutral in the restricted volumes. To further probe this region, we contrasted Remembered vs. Forgotten collapsed across all conditions, and also separately estimated the contrast for the IMP (social) and SEM (non-social) conditions. These analyses also failed to reveal significant effects.
Though a direct contrast of memory (remembered/ forgotten), diagnosticity (diagnostic / neutral) and intentionality (semantic/intentional) pooled across participants would have allowed for a whole-brain test of any interactions between all three factors, this exploratory analysis did not return any regions that achieved significance.
Our neuroimaging results reveal two primary findings about the memory system engaged in the encoding of social information, one of which is related to encoding, and the other to processing social information. First, our findings converge with previous data indicating that social information is encoded by a distinct memory system, even when compared against another person-centered condition. However, we identify some selectivity to the role of the social memory system in that it is primarily engaged when encoding impressions formed intentionally with a social focus (IMP), rather than implicitly (SEM). Second, we found that the diagnosticity of impression information affected the engagement of the social system, but that this effect occurred regardless of the success of memory formation, and, contrary to previous findings, regardless of intentionality. Interestingly, our results do not indicate a role for medial temporal regions in the encoding of social information, further indicating the potential for the social memory system to rely on distinct mechanisms from other types of explicit memory. These findings will be discussed in turn.
Our first result suggests that the dmPFC supports encoding of first impressions when intentionally trying to form impressions, but not when incidentally forming impressions. Previous studies have highlighted Dm effects for social information versus non-social information (Harvey, et al., 2007) or for encoding intentionally formed first impressions versus memorizing order (Mitchell, et al., 2004). However, both of these studies contrasted against control conditions that did not require participants to make evaluative, person-centered judgments. Therefore, previous results may reflect the act of evaluation rather than a dedicated social process per se, or reflect differences in the attention devoted to evaluating a single individual. By contrasting a social task (form impression, IMP) versus a person-centered and evaluative task emphasizing the semantic rather than the social components (judging the location where a behavior occurred, SEM) we show in the present study that when forming and encoding first impressions intentionally, the dmPFC is recruited. We believe this advances our current knowledge because it better characterizes the involvement of the dmPFC in social evaluation as well as highlights its role in encoding first impressions into memory.
Somewhat surprisingly, this result is based on differences in deactivations, as opposed to previous studies finding activations (Mitchell et al., 2004). Closer scrutiny of our neural data in the remembered tasks across both intentional and incidental encoding tasks reveals that differences across conditions seem to be driven by the forgotten trials, rather than remembered trials. We believe this pattern of de-activation is in line with the activity of the ‘task negative’ network of the brain or default mode network (Buckner, Andrews-Hanna, & Schacter, 2008; Raichle et al., 2001). Previous studies have found that activity of the default mode network hampers encoding such that deactivating it would support better memory performance (Daselaar et al., 2009). While posterior regions, such as posterior cingulate, precuneus, and bilateral ventral posterior parietal cortices, have emerged more consistently in the literature, some work implicates anterior regions as well, such as anterior cingulate and medial prefrontal cortices, such that de-activation supports successful encoding (Kim, Daselaar, & Cabeza, 2010).
Though the previous studies did not implicate dmPFC as part of the task negative network, it is possible that the social nature of our stimuli and the unique neural regions engaged to encode this type of information account for these differences. Previous studies (Daselaar et al., 2009; Kim et al., 2010) focused on the encoding of words, scenes, and faces, but did not incorporate stimuli relevant to socioemotional goals. Under such conditions, dmPFC could be associated with the network of regions deactivated during encoding and activated during retrieval. Deactivating this network to support encoding processes implies that focusing on internal processes detracts from the ability to focus on external stimuli and successfully encode them. In our task, this could mean that focusing too much on internal cognition, perhaps retrieving autobiographical memories of familiar individuals with similar appearance to the target stimulus or creating associations based on facial features alone, impairs one’s ability to form a memory trace of the face-behavior association presented in the study (see Shrager et al., 2008 for a discussion of similar effects in the hippocampus). This is consistent with our pattern of results showing less de-activation (greater activity) in the forgotten trials of the Impression condition, perhaps reflecting a failure to inhibit distracting internal associations that hamper successful memory formation. Although one might expect to see a similar pattern for Remembered vs. Forgotten trials in the Semantic condition (incidentally forming impressions), it may be that internal information is most interfering when one is focused on impression formation. Thus, when trying to intentionally form impressions, inhibiting interference is important for one to later remember externally-presented information leading to an impression. Future research explicitly testing the behavioral and neural effects of potential interference, such as from facial characteristics (e.g., Zebrowitz & Montepare, 2008), during the encoding of face-behavior pairings would help to resolve this question, particularly if the effects vary based on the goals of the task (e.g., incidental vs. intentional impression formation).
Our second major finding is that diagnostic information that easily lends itself to forming an impression deactivates the dmPFC more than neutral information. We would expect that diagnostic information would engage regions implicated in forming impressions more strongly than neutral information regardless of orientation. This is because diagnostic information lends itself more easily towards forming trait inferences (as shown by Uleman (2008). However, Mitchell et al. (2006) found that diagnostic information fails to engage the dmPFC more than neutral information when one intentionally forms impressions, and that diagnosticity differentially affects neural engagement only when one incidentally (unconsciously) forms impressions. Mitchell et al.’s interpretation is that when intentionally forming impressions everything is ‘diagnostic’ (even neutral information) but when unconsciously forming impressions only diagnostic information activates frontal regions associated with forming impressions.
In contrast to their findings, we find that both intentional and incidental impression formation engage the dmPFC such that it de-activates more for diagnostic rather than neutral information. In conjunction with our finding of better memory for diagnostic than neutral face sentences pairs, our data lend support to the notion that increased depth of processing may be associated with dmPFC activity for social tasks. This idea is consistent with previous behavioral studies showing that depth of processing contributes to better memory (Craik & Lockhart, 1972; Craik & Tulving, 1975), and in the social domain, that making complex judgments about peoples’ traits leads to better memory than simple judgments of their sex (Bower & Karlin, 1974; Wenger & Ingvalson, 2002). Again, our pattern of greater deactivation, rather than activation, for diagnostic information is surprising, but perhaps reflects the mismatch between behavioral information and facial appearance, which is more salient for diagnostic than neutral trials. Compared to prior studies that did not find this pattern, the need to integrate face and behavior could be more salient for one-shot impression formation tasks, as were employed in the current study.
Another possible explanation for differences from prior studies may lay in the different designs employed across studies. Though both used similar statements, our procedure was very different in that our study presented each face once, paired with a single unique sentence, whereas Mitchell’s (2004) study presented each face paired with 10 different sentences. Pooling impression information across multiple trials may decrease the importance of diagnostic information on any single trial when intentionally forming an impression of an individual. Our use of a single actor - single behavior design may be more consistent with research on spontaneous trait inferences (STI) based on Uleman et al.’s (2008) claim that in order to generate the most robust STI, one must be presented with a single or very few related behaviors and integrate these with an actor representation. In contrast, “integrating meanings and/or evaluations of one target’s many behaviors is less likely to occur spontaneously and requires high levels of relevant chronic goals” (p. 333). This argument indicates that a more naturalistic setting, in which we form impressions based on a range of behaviors, is not ideal for forming a lasting, distinct first impression. With a single defined behavior, there is evidence that first impressions occur spontaneously even in the absence of conscious effort to create an impression (Ambady, Krabbenhoft, & Hogan, 2006; Todorov & Uleman, 2002, 2003; Uleman, et al., 2008).
Because our study presented only a single sentence for each person, this might have increased the perceived diagnosticity of each sentence, in contrast to studies with multiple sentences converging on a single trait. Distinct impression formation processes may be recruited when one is more concerned with updating and comparing impressions to current knowledge (e.g., Schiller et al., 2009), as opposed to forming initial impressions (as in the case of our study). Although more research is needed to elucidate the underlying processes that contribute to encoding first impressions, we believe that our finding highlights the sensitivity of dmPFC to diagnostic information regardless of the state of mind one adopts. One would expect that a system that operates as seemingly automatic, like impression formation, (Todorov, et al., 2007; J. Willis & Todorov, 2006) would be sensitive to the type of information at all times, whether impressions are incidental or intentional.
Surprisingly, diagnosticity did not influence the role the dmPFC played in encoding impressions. This is particularly unexpected because the behavioral memory measures indicated that diagnostic information was better remembered than neutral information. While this suggests that we are better at encoding impressions that are based on meaningful behavior than impressions that do not contain trait diagnostic information, one might also expect intentionality to impact memory (e.g., Mitchell et al., 2004). This was not the case for our data: intentionally and incidentally formed impressions were encoded equally well. However, orientation did affect the engagement of dmPFC during successful vs. unsuccessful encoding trials. This apparent inconsistency in behavioral and neural measures of memory may reflect the greater sensitivity of neural measures in some instances, allowing us to reveal a contribution of intentionality using neural measures. However, this potential for greater sensitivity may rely heavily on the selectivity of particular regions for specific processes.
Our results are consistent with those of Mitchell et al. (2004) in indicating a lack of medial temporal contribution to the encoding of social information. This is surprising given the pervasive nature of MTL contributions to explicit memory (Shrager, Kirwan, & Squire, 2008; Squire, 2009; Tulving & Markowitsch, 1998), although a small body of literature suggests that amnesics may be able to form new memories of impressions of others under some circumstances (Johnson, Kim, & Risse, 1985; Todorov & Olson, 2008). Importantly, MTL regions that did emerge in our contrast of Diagnostic > Neutral did not show a Dm effect. This was further tested using an anatomical MTL mask in order to have greater sensitivity to detect effects, and these results also indicate that MTL regions do not respond significantly or differentiate between social and non-social tasks or between information that is diagnostic compared to neutral information. Although we are limited in the inferences we can make based on a null finding, our data add to the growing evidence that social memory formation may not be MTL-dependent.
While our focus was on mPFC and MTL contributions to the encoding of impressions, our analyses also probed effects of orientation and content of information more broadly. While some of the regions implicated in intentional over incidental impression formation are consistent with prior studies (Schiller, et al., 2009) that suggest a role of emotion (e.g., insula) and face processing (e.g., fusiform) in forming impression of others, our results also identify some novel regions, such as the anterior cingulate cortex (ACC). The ACC is known to be involved in decision making and conflict monitoring (Pochon, Riis, Sanfey, Nystrom, & Cohen, 2008), which might suggest that intentional impression formation involves deeper processing and may allow one to be better able to account for ambiguity or inconsistency (e.g., a pretty face engaged in an ugly behavior). Notably, the reverse contrast (SEM>IMP) did not produce any MTL regions, suggesting our contrast was successful in contrasting social with non social evaluation while avoiding activation of classic memory networks.
While we achieve some success in differentiating conditions loading more heavily on social information, such as diagnosticity and intentional trait impressions, from those that invoke these processes less, it would have been helpful to have a true control condition that does not involve social information. This would have allowed us to further differentiate social from nonsocial, potentially allowing us to more directly investigate the role of the MTL in encoding nonsocial and social information. In addition, the relatively lengthy trials may have resulted in some blurring of the intentional trait impression condition and the unintentional semantic condition. The amount of time available in which to deeply process information, as well as the interspersing of trial types within a participant, may have encouraged participants to form impressions even on the semantic trials. Such a possibility may account for the lack of memory differences across these conditions.
In conclusion, our finding that encoding first impressions relies on the dmPFC only when intentionally trying to form impressions highlights the importance of orientation and the unique role played by this region when intentionally forming first impressions. It adds to our current knowledge in that it shows that this is true not only in comparison to nonsocial sequencing task but also when compared to a more nuanced person-centered evaluative task. In addition, we find a role for the dmPFC such that it processes diagnostic information which easily lends itself to impressions formation compared to neutral information. This highlights the role of the region as dedicated to forming first impressions and may indicate the importance of the task in engaging this region. Compared with previous findings, our results may suggest that the processes differ when impressions are based on single versus multiple behaviors. Further investigations will likely highlight the types of diagnostic information that most impact impression formation, the effects of multiple versus singular impression formation, and the role of these regions during retrieval of first impressions from memory.
Acknowledgments
The authors would like to thank Leslie Zebrowitz, Don Katz and Jason Mitchell for valuable feedback in the initial stages of the research, Nancy Dennis for helpful suggestions, and Jennifer Coleman for assistance with data collection and analysis. The project was partially supported by the Brandeis University Theodore and Jane Norman Fund and the National Institute on Aging (grant R21 AG032382), and portions of the research were conducted while A.H.G. was a fellow of the American Federation for Aging Research. The Athinoula A. Martinos Center for Biomedical Imaging is supported by the National Center for Research Resources (grant P41 RR14075) and by the MIND Institute. R.G. is now located at Tel Aviv University.
Footnotes
1Examples of negative and positive traits: Motivated, honest, confident (positive); lazy, dishonest, inconsiderate (negative).
2In the process of counterbalancing an experimental error occurred in two of the counterbalancings in which 10 face-sentence pairs were assigned to the SEM-neutral condition instead of the IMP-neutral condition. As a result, some participants in these counterbalance groups (n=8) viewed 60 face-sentence pairs in the IMP and SEM diagnostic conditions but received 50 pairs in the IMP-neutral condition and 70 pairs in the SEM-neutral condition.
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