Encoding human sexual chemosensory cues in the orbitofrontal and fusiform cortices

Abstract

Chemosensory communication of affect and motivation is ubiquitous among animals. In humans, emotional expressions are naturally associated with faces and voices. Whether chemical signals play a role as well has hardly been addressed. Here we use functional magnetic resonance imaging (fMRI) to show that the right orbitofrontal cortex, right fusiform cortex, and right hypothalamus respond to airborne natural human sexual sweat, indicating that this particular chemosensory compound is encoded holistically in the brain. Our findings provide neural evidence that socioemotional meanings, including the sexual ones, are conveyed in the human sweat.

Introduction

It is well known that many animals communicate salient information including sexual interest through changes in chemosignals produced from the body and skin (Wyatt, 2003). Our understanding of the function of human chemosignals, however, is still limited. One fruitful approach that links social behavior with chemosignals has been the study of the putative sex pheromone androstadienone (PSP). PSP is an odorous steroid that is found in greater amount in men than in women (Brooksbank et al., 1972). In women, it exerts a positive effect on mood and cognition (Jacob and McClintock, 2000; Lundström et al., 2003; Bensafi et al., 2004; Wyart et al., 2007), and heightens sympathetic nervous system arousal (Jacob, 2001; Bensafi et al., 2004; Wyart et al., 2007). In addition, it is distinguished from common household smells in terms of women’s neural responses, as revealed by several positron emission tomography (PET) studies (Jacob et al., 2001; Savic et al., 2001; Gulyas et al., 2004; Savic et al., 2005).

In the present experiment, we chose to directly study natural human sexual sweat, which people encounter in natural settings. The human sweat, consisting of steroids [including PSP (see Materials and Methods)] and acids (Zeng et al., 1991; Labows and Preti, 1992), is a conglomerate of secretions from the sebaceous, eccrine, and apocrine glands that respond to emotion (Labows and Preti, 1992). Considered a social chemosignal, sweat has been shown in behavioral studies to convey individual identity (Russell, 1976), reproductive state (Stern and McClintock, 1998), and possibly affect (happiness, fear, anxiety) of the sweat donors (Chen and Haviland-Jones, 2000; Pause et al., 2004; Chen et al., 2006; Zhou and Chen, 2009). In the domain of individual identity, a recent PET study suggests that the brain also differentiates between sweat from familiar and unfamiliar women (Lundström et al., 2008).

To examine how the brain functionally processes human sexual sweat, we carried out the first fMRI study of naturally produced human social chemosensory compounds, using a slow event-related design that enabled us to examine the temporal dynamics of the responses. We examined the sweat of sexual arousal in comparison with two other social chemosensory compounds (PSP and the sweat of neutrality) and a nonsocial smell (phenyl ethyl alcohol: PEA). We were able to overcome the inherent variation in sensory differences typically associated with olfactory stimuli by employing ANCOVA to statistically control for activities associated with odor intensity and pleasantness. Finally, we performed functional connectivity analyses to probe the origins of the observed activation patterns.

We tested nineteen healthy female subjects who inhaled each type of olfactory stimuli twice (in nonconsecutive order) per run, over a course of 5 runs. The subjects followed visual prompts to inhale (“I”) and exhale (“O”), rated the intensity / pleasantness following each olfactory presentation, and described what each smelled like at the end of the study (see Materials and Methods for details, Supplemental Material Figure S1 for an illustration of the procedure, Figure 1 for intensity/pleasantness ratings, and Table 1 for verbal descriptions). We monitored respiration on eighteen of the subjects.

Figure 1. Mean intensity and pleasantness ratings.

There are four types of olfactory stimuli, and standard error bars are shown. For intensity, 1 refers to no smell, 2 little smell, 3 moderate smell, 4 quite a bit smell, 5 strong smell. For pleasantness, 1 refers to very unpleasant, 2 unpleasant, 3 neutral, 4 pleasant, 5 very pleasant. Sex: sexual sweat, Neutral: neutral sweat, PSP: putative sex pheromone androstadienone, PEA: phenylethyl alcohol. Sexual sweat and PSP were perceived to be more intense than Neutral sweat; PEA was perceived to be more pleasant than Sexual sweat and Neutral sweat. *: P < 0.05, Bonferroni corrected.

Table 1.

Frequency table of the verbal descriptions for the olfactory stimuli (n = 16)

	Floral	Sweaty/human	Other	No Smell	Total
Sexual Sweat	3	1	9	3	16
Neutral Sweat	3	1	9	3	16
PSP	11	0	5	0	16
PEA	10	0	6	0	16
Total	27	2	29	6	64

Subjects’ verbal descriptions of the olfactory stimuli were classified into four categories: floral, sweaty/human, other, and no smell. A description was classified as “floral” if it was related to flowers (e.g. rose, lilac, fragrant), as “sweaty/human” if it was related to sweat or human body, as “no smell” if the subject did not report to detect a smell, and as “other” if it did not fit in the above three categories (e.g. chemical, bitter, rubber). Most subjects did not think they smelled sweat or anything human related and did not verbally distinguish sexual sweat from neutral sweat.

Materials and Methods

Sweat Collection

Starting from two days prior to the experiment until the end of the experiment, 20 heterosexual male donors in a larger study refrained from using deodorant/antiperspirant/scented products, and used scent-free shampoo/conditioner, soap, and lotion provided by the experimenter. They reported to have experience with watching sexually explicit videos, and signed informed consent prior to participation. Subjects kept a 4”×4” pad (rayon/polyester for maximum absorbance) in each armpit while they watched 20-minute-long video segments intended to produce the emotion of sexual arousal (sexual intercourse between heterosexual couples) and neutrality (educational documentaries), respectively. Meanwhile, their skin conductance was recorded using Ag/AgCl electrodes filled with isotonic electrolyte (BIOPAC Systems, Inc., Goleta, CA) attached to the palmar area of the nondominant hand. New pads were used for each segment. The sequence of segment presentation was counterbalanced. A 5 min segment (of the same emotional content as the 20 min segment) preceded each 20 min segment, serving as an emotional transition. Only pads worn during the 20 min segments were used in the fMRI study. Once collected, sweat pads were stored at −80° C until subsequent testing. Over the course of the 20 min video segments donors experienced greater arousal (measured by skin conductance) while watching erotic videos as compared with watching neutral videos [t(14) = 2.705, P = 0.017, excluding 5 donors whose data could not be used due to failure of electrodes and other technical difficulties]. Three healthy, male non-smokers (aged 26, 29, and 29 yrs) were subsequently selected for the current study mainly because of their higher level of the self-reported sexual arousal (Figure 2).

Figure 2. Mean strength of self-reported emotions from the three donors.

This is shown on a 100mm visual analog scale during the neutral and the erotic video segments, respectively. The plot shows that the emotion generation was successful. Neutral videos elicited predominantly neutral feelings. Erotic videos elicited predominantly sexual arousal and happiness. Error bars represent standard error of the mean.

fMRI Participants

We recruited only women for their superior sense of smell (Brand and Millot, 2001) and sensitivity to emotional signals (Broday and Hall, 2000). Twenty right-handed females (Mean age = 23.4 yrs; SE = 0.89 yrs) were selected from a group of 42 women on the basis that they reported to have no rhinal disorders or neurological diseases, and that they showed superior olfactory sensitivity to PSP (Mean = 3.0µ M, SE in binary dilution step = 0.48) and PEA (Mean = 0.00042%, SE in binary dilution step = 0.61). They either were in a heterosexual relationship or had been in one within the previous year. They were not on hormone contraceptives, and were tested during the periovulatory phase of their menstrual cycles (10–27 days, on average 17 days, from the onset of their last period). All gave written consents for participation. One subject’s data were excluded from further analysis due to excessive head movement. Subjects were informed that the study was on brain activations to natural compounds. They were blind to the nature of the smells used in the experiment.

Olfactory Stimuli

Three types of social chemosensory compounds were used. One was the pooled sweat of sexual arousal obtained from the 3 heterosexual male donors (sexual sweat), another was the sweat from the same men but under neutral emotions (neutral sweat) whereas the third was the putative sex pheromone androstadienone (PSP: Steraloids Inc. Newport, RI; 916 µM in propylene glycol, 1 ml). Phenyl ethyl alcohol (PEA: Sigma-Aldrich, St. Louis, MO; 0.03% in propylene glycol, 1 ml) was used as a non-social control. The concentrations of PSP and PEA were chosen based on a separate panel of 10 female judges who were told to best match their intensity and pleasantness to those of the sexual sweat. All smells were presented on nylon/polyester blended pads. We estimated the amount of PSP in our sweat sample to be less than 0.0055 µmol, calculated as PSP concentration in the underarm skin extract (Gower et al., 1994) (17.9 pmol per cm² ) times pad size (10.16 cm × 10.16 cm) times donor number (3).

Data Acquisition

Data were collected using a 3T Philips Intera and asymmetric spin echo pulse sequence (Stables et al., 1998) with TE = 31ms, TR =2000 ms, FOV = 240×240 mm², Matrix = 128×128, and number of slices = 28. The in-plane resolution was 1.875×1.875 mm². Slice thickness = 3.75 mm. Four dummy scans were conducted at the beginning of each run to allow the magnetization to reach magnetic equilibrium. A T1 weighted anatomical volume (3D MPRAGE; 1×1×1 mm³ resolution) was also acquired for each subject for normalization and visualization of the functional data. Slices were acquired using oblique orientation 30° to the AC-PC line (Sobel et al., 1997). Respiration was monitored with the scanner’s built-in sensor that was taped on subjects’ diaphragm and recorded using Biopac MP150 (Biopac Systems, Inc., Goleta, CA).

fMRI Procedure

Each olfactory presentation lasted for 12s consisting of inhalation (4s), exhalation (4s) and inhalation (4s). Each olfactory stimulus was presented twice per run over a course of 5 runs in a semi-randomized manner via a non-ferric, computer-controlled, 6-channel MRI compatible olfactometer (Mindware Technologies LTD., Columbus, OH) adapted after Lorig (Lorig et al., 1999). Inhalations and exhalations were prompted respectively by “I” and “O” signs on the screen so that breathing can be synchronized with smell delivery. There was a 28s interval between two smell presentations, during which only air was delivered and subjects followed “I” and “O” prompts as usual. Immediately following each smell presentation, subjects rated either the intensity or the pleasantness of the smell on a 1–5 scale using a response pad attached to their right hand. The order in presenting the intensity and pleasantness questions was counterbalanced across the subjects and the scans. After the scans, 16 out of the 19 subjects smelled the same olfactory stimuli presented through the olfactometer and described what each smelled like. Prior to the scans, all subjects had been trained to breathe according to the rhythm of the visual prompts. The fMRI session took about 1 hr to finish.

fMRI Data Analysis

Functional data were analyzed using AFNI (Cox, 1996). Following image preprocessing, the fMRI data were analyzed using the general linear model (GLM). Regressors of interest, each corresponding to the time points when subjects inhaled a particular olfactory stimulus (each 12s presentation consisted of two such inhalations), were convolved with the gamma function. Drifting effect, head motion, as well as questions (when subjects were prompted to rate the intensity or pleasantness of an olfactory stimulus, convolved with the gamma function) were also included in the GLM. The parameter estimates (betas) for each olfactory stimulus were calculated for all brain voxels and entered in the second level ANCOVA together with the average intensity and pleasantness ratings for each olfactory stimulus from each subject. ANCOVA was used to analyze activations to the social chemosensory compounds (sexual sweat, neutral sweat, PSP) with the nonsocial control smell (PEA) as the baseline. The use of ANCOVA was important since it allowed us to normalize the inherent intensity and pleasantness variations (Figure 1) in the olfactory stimuli. The average % signal changes within the activated regions were then extracted (assuming the shape of the hemodynamic response) for each olfactory condition from each subject. The impulse response function following the inhalation of each olfactory stimulus (each olfactory regressor corresponds to the onsets of inhaling an olfactory stimulus; each 12s presentation consisted of two such inhalations) was estimated with AFNI 3dDeconvolve using a minimum time lag = 0 TR and a maximum time lag = 7 TR (without assuming the shape of the hemodynamic response). In our voxel-wise analysis, we used alpha probability simulation (AlphaSim) and applied small volume correction to the three heavily documented olfactory regions -- the piriform, amygdala, orbitofrontal cortex (Sobel et al., 2000; Gottfried et al., 2002b), and the hypothalamus. The AlphaSim program uses Monte Carlo simulation. The probability of a false positive detection for an ROI is determined from the frequency count of cluster sizes based upon the combination of individual voxel probability thresholding and minimum cluster size thresholding [for details, please refer to (Ward, 2000)]. For the rest of the brain, we used an uncorrected P < 0.0005, corresponding to Z > 3.48 in combination with a cluster size > 40 mm³.

To assess the functional connectivity involved in processing human sexual sweat, we first performed a simple correlation analysis. Piriform and amygdala were anatomically located according to Talairach coordinates and human brain atlases (Talairach and Tournoux, 1988; Mai et al., 1997). Variance explained by regressors other than sexual sweat, including baseline, drifting effects, head motion, responding to the intensity/pleasantness questions, as well as neutral sweat, PSP, and PEA, were removed from the original time series for each subject to make the signals immune to any undesirable effect. This was done for each subject by 1) selecting the regression coefficients and the X matrix columns corresponding to all the regressors except sexual sweat from the GLM regression analysis described above; 2) deriving a fit time series dataset from 1) using AFNI program 3dSynthesize; and 3) subtracting 2) from the original time series. The subjects’ resulting EPI data in time series were converted to the Talairach space. Time series were extracted from the voxel with the peak t value in the right OFC (Talairach coordinates 33, 40, −1) and the voxel with the peak t value in the right fusiform (Talairach coordinates 35, −51, −7), respectively. Each was then respectively used as the covariate of interest in a whole-brain linear regression analysis in which global signal variation due to physiological noises was set as an orthogonal regressor. Fisher’s Z transformation $z=\frac{1}{2}\text{ln}\frac{1+r}{1-r}$ was applied to the correlation coefficients to reduce skewness and to normalize the sampling distribution. The z scores were entered into a second-level random-effects analysis to determine the brain areas whose hemodynamic responses (HRs) significantly covariated with the seed HR across subjects. In the simple correlation analysis, we used a threshold of P < 0.005, corresponding to Z > 2.80, and cluster size > 40 mm³ for our pre-defined regions of interest (amygdala and piriform). For the rest of the brain, we used a more stringent criterion of an uncorrected P < 0.0005 corresponding to Z > 3.48 in combination with a cluster size > 40 mm³.

A psychophysiological interaction analysis (Friston et al., 1997; Heekeren et al., 2004) was also carried out. For each subject, we included in the linear regression model: 1) global signal variation due to physiological noises; 2) four hrf-convolved regressors, each corresponding to an olfactory stimulus (task-related parameters, psychological factor); 3) the time series of the seed region (in this case the voxel with the peak t value in the right fusiform with Talairach coordinates 35, −51, −7) under each of the four olfactory conditions obtained as described in the simple correlation analysis section above (physiological signal); 4) the product of 2) and 3) for each olfactory condition (hence psychophysiological interaction). The group analysis was performed as described above. If the connection of an area with the right fusiform region is unique to the sexual sweat condition, we would expect it to also significantly covariate with the sexual psychophysiological interaction term.

Results

Subjects followed the breathing prompts and breathed constantly. There was no difference in either the breathing amplitude (P = 0.602) or the frequency (P = 0.905) across the four olfactory conditions.

Right OFC and Right Fusiform Distinguished Sexual Sweat from PSP, Neutral Sweat, and the Non-Social Control

An omnibus F test identified two regions that distinguished among the four olfactory conditions. One region was in the right orbitofrontal cortex (OFC; Talairach coordinates 33, 40, −1; uncorrected P < 0.0005, corresponding to Z > 3.48, cluster size = 52 mm³, svc corrected P < 0.005, peak Z = 3.898; Figure 3a), and the other in the right fusiform (Talairach coordinates 35, −51, −7; uncorrected P < 0.0005, corresponding to Z > 3.48, cluster size = 49 mm³, peak Z = 4.542; Figure 3d). Post-hoc tests revealed that both regions significantly responded to the sexual sweat as compared with the nonsocial baseline, and to the sexual sweat as compared with either the neutral sweat or PSP (P < 0.002, Bonferroni corrected, Figures 3b, c, e, f). Neither the right OFC nor the right fusiform region significantly differentiated among the nonsocial control, the neutral sweat and PSP (P > 0.9, Bonferroni corrected).

Figure 3. Brain responses to social chemosensory compounds.

a: Coronal view showing an area in the right orbitofrontal cortex (33, 40, −1) activated in the omnibus ANCOVA F test (svc corrected P < 0.005). b: The means and standard errors of the estimated % signal change in the right orbitofrontal region. c: The time courses of the hemodynamic responses in the right orbitofrontal region. d: Sagittal view showing a region in the right fusiform gyrus (35, −51, −7) activated in the omnibus ANCOVA F test (uncorrected P < 0.0005, cluster size = 49 mm³). e: The means and standard errors of the estimated % signal change in the right fusiform region. f: The time courses of the hemodynamic responses in the right fusiform region. In a and d, the activation map (omnibus F test) is overlaid on top of a high-resolution T1 image in Talairach space. In c and f, 0 on the X axis refers to the onset of the olfactory stimuli. In b, c, e, and f, the response to PEA is used as the reference level. Sex: sexual sweat, Neutral: neutral sweat, PSP: putative sex pheromone androstadienone.

While OFC is a secondary olfactory region (Zatorre et al., 1992; Sobel et al., 2000; Zald and Pardo, 2000; Gottfried et al., 2002b; Anderson et al., 2003; see Gottfried and Zald, 2005 for a comprehensive review), the activated fusiform region is not commonly associated with olfaction. Functional connectivity analysis (see Materials and Methods) yielded no significant connection between the right fusiform and the right OFC (P = 0.76). Further analyses driven by the known functional anatomy of the olfactory system confirmed each of their hemodynamic responses (HRs) to be significantly correlated with the HRs of the primary olfactory area defined as the amygdala and the piriform (see Supplemental Material Table S1). Additional search in the secondary olfactory areas identified that the HR of the right fusiform, but not the right OFC, was also significantly correlated with the HRs of the right thalamus (Talairach coordinates 25, −26, 7; P < 0.0005, corresponding to Z > 3.48, voxel size = 135 mm³, peak Z = 4.166) and the right hippocampus/ parahippocampal gyrus (Talairach coordinates 30, −40, −1; P < 0.0005, corresponding to Z > 3.48, voxel size = 108 mm³, peak Z = 4.284). While thalamus functions as a sensory relay, hippocampal/ parahippocampal region has previously been shown to be involved in olfactory learning (Gottfried et al., 2002a) and olfactory memory (Gottfried et al., 2004). We thus infer that the olfactory input might have been relayed to the right fusiform activation via the primary olfactory areas including the piriform and the amygdala, and the secondary olfactory areas like the thalamus and the hippocampus/ parahippocampal region.

As consistent with previous findings (Poellinger et al., 2001; Vuilleumier et al., 2004; Plailly et al., 2005), the involvement of the piriform, amygdala, right thalamus, as well as the right hippocampal/ parahippocampal region and right fusiform are not specific to the task of smelling human sexual sweat. At P = 0.005 corresponding to Z = 2.80, we did not find any voxel in the brain whose HR uniquely covariates with the psychophysiological interaction term of the sexual sweat condition (see Materials and Methods).

Hypothalamus Differentiated Sexual Sweat from the Non-Social Control

Motivated by the extensive interest in the hypothalamus vis á vis sex and reproduction (Savic et al., 2001; Savic et al., 2005), we specifically examined whether the sexual sweat activated this area. We found that the right hypothalamus also significantly responded to the sexual sweat as compared with the baseline nonsocial control (Talairach coordinates: 8, −4, −2; uncorrected P < 0.005, corresponding to Z > 2.80, cluster size = 59, svc corrected P < 0.005, peak Z = 3.398; Figure 4a), although there was no significant difference in the response among the social chemosensory compounds (P > 0.2, Bonferroni corrected, Figure 4b).

Figure 4. Right hypothalamic responses to social chemosensory compounds.

a: Sagittal view showing a region in the right hypothalamus (8, −4, −2) that responded to the sexual sweat (svc corrected P < 0.005). The activation map is overlaid on top of a high-resolution T1 image in Talairach space. b: The means and standard errors of the estimated % signal change in the right hypothalamic region.

Discussion

Since PSP at 250µM already heightens autonomic arousal in women (Jacob, 2001; Bensafi et al., 2004), the lack of difference between our PSP sample (916µM) and the neutral sweat (containing negligible PSP, see Materials and Methods) in any of the aforementioned areas implied that the observed effects could not have been due to autonomic arousal. This corroborates behavioral studies elsewhere showing that the impact of social chemosignals (sweat from fearful or anxious individuals) on attention, person perception, and physiological responses is independent of mere arousal (Pause et al., 2004; Chen et al., 2006; Prehn et al., 2006).

Some previous PET studies reported hypothalamic response to PSP in heterosexual women (Savic et al., 2001) and gay men (Savic et al., 2005). PSP failed to reach significance in the current experiment (P = 0.092; Figure 4b). The discrepancy might be due to the differences in the methodology, but could also simply reflect differences in the PSP concentrations used [low (916 µM in propylene glycol) in the current study versus the maximal (pure crystal form of PSP) in the above (Savic et al., 2001; Savic et al., 2005) PET studies]. When we compared our findings with a PET study that used a PSP concentration more comparable to ours (250 µM in propylene glycol with 1% clove oil) (Jacob et al., 2001), and when we adopted the statistical threshold of that study (extent threshold = 240 mm³, Z > 2.71) while still using the non-social smell as the baseline, we observed neural responses to PSP in regions consistent to the ones reported in that study, including the left precentral gyrus, left hippocampus, left cingulate, left cerebellum, right medial frontal gyrus as well as an area in the right basal ganglia overlapping with hypothalamus.

To put our results in perspective, we note that the OFC is not only a secondary olfactory region, but also widely implicated in socioemotional regulation and behavior. It receives input from all the sensory modalities (Kringelbach, 2005) and has been proposed to participate in visual-olfactory learning (Gottfried et al., 2002a; Gottfried and Dolan, 2004), mediation of hedonic experience (Kringelbach, 2005), reward monitoring (Gottfried and Dolan, 2004; Kringelbach, 2005), and emotion recognition (Adolphs, 2002). The hypothalamus is an olfactory region (Zatorre et al., 1992; see Gottfried, 2006 for a comprehensive review of the human olfactory cortex) also known to be important in regulating sex and reproduction. Taken these into account, our results suggest that the right OFC, along with the right hypothalamus, processed the emotional value of the sexual sweat.

The right fusiform is well documented to hold modules specialized in human perception, namely, the fusiform face area (FFA) (Kanwisher et al., 1997) and the fusiform body area (FBA) (Schwarzlose et al., 2005). This region can be activated through both explicit (O'Craven and Kanwisher, 2000) and implicit (hearing familiar people’s voices) (Kriegstein et al., 2005) visual imageries. In addition, emotional stimuli augment its responses (Vuilleumier et al., 2001; Hadjikhani and de Gelder, 2003; Peelen et al., 2007). The Talairach coordinates of the fusiform region identified in our experiment fall in the range of the coordinates for FFA and FBA (Kanwisher et al., 1997; Schwarzlose et al., 2005). Such anatomical location likely reflects a recognition of the human quality in the sexual sweat, whose emotional nature may have also contributed to the activation. Considering its functional connectivity to the right hippocampus/parahippocampal gyrus, the recognition may arise from implicitly associating the sexual sweat with humans based on past experience. The fact that most subjects did not perceive the sexual sweat as human related (Table 1) suggests that the effects we observed occurred at a subconscious level.

The processing of human sexual sweat took place both within (OFC and hypothalamus) and beyond (fusiform) the olfactory system. Interestingly, with the exception of hypothalamus, neither the OFC nor the fusiform region is implicated in sexual motivation and behavior. Hence, our results implied that the chemosensory information from natural human sexual sweat was encoded more holistically in the brain rather than specifically for its sexual quality.

Finally, it is worth noting that the neural activity to airborne sexual sweat is lateralized to the right hemisphere. This observation is consistent with existing literature on the right hemispheric dominance in processing olfaction (Zatorre et al., 1992; see Gottfried and Zald, 2005 for a meta-analysis and review), human social qualities (Kanwisher et al., 1997; Schwarzlose et al., 2005), and emotion (Blonder et al., 1991; Cacelliere & Kertesz, 1990).

Conclusion

Humans are evolved to respond to salient socioemotional information. Distinctive neural mechanisms underlie the processing of emotions in facial and vocal expressions. Our results here show that the brain also recognizes the socioemotional information contained in the human sexual sweat. This is so despite the fact that subjects were verbally unaware of the nature of the olfactory stimuli and that the intensity and pleasantness differences had been statistically controlled for. Our findings provide olfactory evidence that the right orbitofrontal cortex and the right fusiform participate in the processing of chemosensory human socioemotional information. Moreover, they also offer neural support for the existence of affective communication through human sociochemosensory cues – a subject extensively studied in animal research but hitherto little known in humans.