Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2018 Apr 1.
Published in final edited form as: Soc Neurosci. 2016 Feb 25;12(2):150–162. doi: 10.1080/17470919.2016.1150341

Brain processes in women and men in response to emotive sounds

Paola Rigo a,b,1, Nicola De Pisapia a,1, Marc H Bornstein b, Diane L Putnick b, Mauro Serra a, Gianluca Esposito a,c, Paola Venuti a
PMCID: PMC5822002  NIHMSID: NIHMS942695  PMID: 26905380

Abstract

Adult appropriate responding to salient infant signals is vital to child healthy psychological development. Here we investigated how infant crying, relative to other emotive sounds of infant laughing or adult crying, captures adults’ brain resources. In a sample of nulliparous women and men, we investigated the effects of different sounds on cerebral activation of the default mode network (DMN) and reaction times (RTs) while listeners engaged in self-referential decision and syllabic counting tasks, which, respectively, require the activation or deactivation of the DMN. Sounds affect women and men differently. In women, infant crying deactivated the DMN during the self-referential decision task; in men, female adult crying interfered with the DMN during the syllabic counting task. These findings point to different brain processes underlying responsiveness to crying in women and men and show that cerebral activation is modulated by situational contexts in which crying occurs.

Keywords: infant and adult crying, adult sensitivity, behavior, default mode network

Introduction

Crying is one of the first signals that infants use to communicate their needs, and crying constitutes an important cue to which caregivers readily respond (Cecchini, Lai, & Langher, 2007; Newman, 2007; Soltis, 2004; Esposito & Venuti, 2008; Esposito & Venuti, 2010). Infant crying augments physiological responses in listeners, and aversiveness ratings of infant cries are similarly high in mothers and fathers and in non-parent women and men (Frodi & Lamb, 1978; Frodi, Lamb, Leavitt, & Donovan, 1978; Green, Jones, & Gustafson, 1987). Neuroimaging studies, mostly focused on parents, have revealed patterns of cerebral activity in response to infant negative vocalizations that are connected with approach behaviors and motivations for caregiving (Barrett & Fleming, 2011; Pechtel, Murray, Brumariu, & Lyons-Ruth, 2013; Swain, et al., 2008; Swain, Kim, & Ho, 2011).

In the normal ecology of everyday life, a baby who begins to cry does not find adults waiting to assist him/her, but crying erupts more probably while adults are otherwise engaged or simply immersed in their own thoughts. However, caregivers need to ensure they respond appropriately to infant cries regardless of the situation. To date, no studies have systematically investigated the effects of infant crying on adult listeners who are busy in other self-oriented or externally oriented tasks and what repercussions being focused on cry-unrelated activities have for adult sensitivity.

Normally, spontaneous cognition and self-referential mental states involve consistent patterns of activation in the medial prefrontal cortex (MPFC) and posterior cingulate cortex (PCC), two midline nodes of the default mode network (DMN). Activation of the DMN occurs during self-referential activity, thinking about something not related to the environment (i.e., mind wandering), thinking about the self, retrieving autobiographical memories, mental imagery, envisioning the future, or taking another person’s perspective (Buckner, Andrews-Hanna, & Schacter, 2008; Fox & Raichle, 2007; Greicius, Krasnow, Reiss, & Menon, 2003; Gusnard & Raichle, 2001; Gusnard, Akbudak, Shulman, & Raichle, 2001; Raichle & Snyder, 2007; Raichle, et al., 2001). Reciprocally, the DMN is deactivated during goal-directed activities that call for externally oriented attention.

In a recent study (De Pisapia et al, 2013), we investigated cerebral responses associated with exposure to infant crying in a sample of healthy adults (with and without children) who were awake, at rest, and engaged in their own (mind-wandering) thoughts. People spend a great part of the day engaged in such self-related mental states. When we probed with baby cries, we found that women exhibited greater deactivation of the DMN than men. This gender difference emerged regardless of parental status. One interpretation of the findings from this study is that the sudden onset of a baby’s cry elicits in women a greater readiness to disengage cognitive resources from internally focused thoughts in order to refocus on the salient external sound. To further investigate this male/female difference in a separate study (Messina et al., 2015), we recorded Motor Evoked Responses (MEP) from arm muscles as produced by Transcranial Magnetic Stimulation (TMS) in young adults while listening to infant cries. We found an excitatory modulation of MEPs at 100 ms from the onset of infant cry specific to females, who thus appear to be tuned to respond to infant cries with automatic motor excitation.

In the present study we followed on those results. In the first fMRI study, we directly compared infant crying to other salient human sounds while participants simultaneously engaged in two contrasting cry-unrelated activities that required, respectively, activation or deactivation of the DMN. One was a self-referential task to decide if an adjective described the participant’s own personality (self-oriented task = SOT), and the other was a syllabic counting task to decide if an adjective had three or four syllables (goal-oriented task = GOT) (Debbané et al., 2014; Maguire & Mummery, 1999; van der Meer, Costafreda, Aleman, & David, 2010). As there is evidence that performance in goal-oriented tasks is associated with efficient DMN deactivation, combined with greater involvement of executive functions (Anticevic et al., 2012; De Pisapia, Turatto, Lin, Jovicich, & Caramazza, 2012; Fox, Snyder, Zacks, & Raichle, 2006; Mennes et al., 2011), in a second behavioral study, we tested reaction times (RTs) in the same two tasks tested in the fMRI study.

We expected to find women more distracted by infant crying than men in both tasks, resulting in greater deactivation of the DMN in the self-oriented task and lesser deactivation of the DMN in the goal-oriented task. We also expected to find in women slower RTs related to performance on the two cry-unrelated tasks in association with the onset of infant crying. Our assumption was that women’s attention would be more readily engaged by infant stimuli therefore influencing their behavior. Because De Pisapia et al. (2013) used white noise as the only control sound for infant cries, they could not discriminate whether DMN deactivation (shown by women) was specifically linked to infant cry or generalizes to other baby sounds or other emotional sounds. In the present study, control conditions included other human emotional sounds (baby laugh and adult cry) as well as non-human/non-emotional sounds (noise).

METHODS

fMRI Experiment 1

Participants

We recruited 22 healthy nulliparous adults (11 females, M age 20.5 ± 4.04 years; 11 males, M age 25.25 ± 2.77 years) through the University of Trento. Inclusion criteria were to be a non-parent, 18 to 30 years of age, and having no personal or family history of neurological or mental disorders. Participants gave informed consent to participate, and the study was approved by the ethical committee for experiments involving humans at the University of Trento.

Auditory stimuli

Each participant listened to 80 different sounds: 20 baby cries (BC; hunger cries from 1-year-olds), 20 baby laughs (BL; from 1- to 2-year-olds), 20 female adult cries (AC), and 20 control noise sounds (CS). Human vocalizations were excerpted from files of sounds in public online databases (Ljung & Wahlforss, 2008; Nokes, 1997). We selected 5000 ms from the original cry and laugh sounds (sampling rates 44.1 kHz/32bit), and the resulting sounds were noise corrected (removing any constant background sounds) and matched for volume using Audacity 2.0.4 (http://audacity.sourceforge.net). Fundamental frequency (f0) showed variations among sounds (F(2,57) = 3.71, p<.03). The post hoc Tukey test showed that f(0) was higher in BL (M 549.82 ± 100.78 Hz) than BC (M 482.25 ± 73.17 Hz, p<.023) and AC (M 480.80 ± 98.05, p<.020), whereas f(0) between AC and BC did not differ. CS were built to generate noise sounds as a control condition for baby cry to take into consideration morphological features of the temporal pattern expressed by infant cries (Lorberbaum et al., 2002; Swain et al., 2008). Using Cool Edit Pro Version 1.2 Syntrillium Software (http://www.syntrillium.com), we generated white noise streams of 5000 ms, the same duration as the human sounds. To ensure the same temporal modulation as present in infant crying, white noises were perfectly matched for intensity and range of frequencies to baby cries.

Visual stimuli

Visual stimuli were 80 personality adjectives that were extracted from a set of 242 adjectives that were previously assessed by 11 adults for their positive and negative quality using a 7-point scale ranging from −3 (extremely negative) to 0 (neutral) to 3 (extremely positive). Given our interest in testing the effect of the emotive sounds, to avoid any confound we selected only adjectives that were neutral (e.g. forgetful, impatient, careful), rather than positive (e.g. gentle, expert, good), and negative (e.g. rude, sloppy, unfair). In the SOT, the number of syllables in the adjectives (40 items) ranged between 2 to 5. For the GOT, we used adjectives consisting of 3 (20 items) and 4 (20 items) syllables.

Experimental tasks

Participants underwent two different experimental tasks. In the SOT, participants had to decide whether the personality adjective presented at the center of the screen described their own personality (yes or no). In the GOT, participants had to decide whether the personality adjective was composed of 3 or 4 syllables.

Experimental design

We implemented a 2*4*2 repeated-measures factorial design. The first 2-level within-subjects factor was the task, the SOT and the GOT. The design provided for two tasks that alternated in random order, one task at a time in each trial. The second 4-level within-subjects factor was the sound (BC, BL, AC, and CS). Sounds were irrelevant to the task, and the order of sounds was random. Given our interest in investigating differences between men and women, the third 2-level between-subjects factor was gender (Figure 1).

Fig. 1.

Fig. 1

Experimental set up. Simultaneous with the onset of a sound, the task was presented and one personality adjective compared at the center of the screen. The experimental session provided for two tasks (SOT and GOT); one block presented one task a time. Abbreviations: SOT= self-oriented task, GOT= goal-oriented task.

2.1.6. Experimental procedure

The investigator briefly explained what the experimental tasks required, and participants underwent a training block. Stimulation consisted of simultaneous presentation of a task-related visual adjective and a task-unrelated sound. In the training block, participants were told about the simultaneous presentation of the adjective and the sound and were asked to focus on the task. After presentation of a fixation point (4000 ms), one of the four sounds was played. Simultaneously with the onset of the sound, the task was presented, and one adjective appeared in the center of the screen. A sentence at the top of the screen informed participants which task to perform (e.g. “I am a person” or “The number of syllables is”). Participants were instructed to respond as fast as possible over a total of 80 randomized trials (40 for each task). Each trial consisted of one sound and one task lasting 5000 ms (Figure 1).

Image acquisition

Functional images were acquired through a whole-body scanner equipped with a Bruker MedSpec MRI magnet 4 Tesla (T) and Siemens Sonata gradients of 40 mT/m, a system with 8-channel coils for signal reception. Functional T2*-weighted images were obtained with a standard Echo Planar Imaging (EPI) technique, acquiring 37 slices of the brain volume with the following parameters: slice thickness = 3 mm, FOV = 192 mm, flip angle = 75 °, TR (Repetition Time) = 2200 ms, TE (echo time) = 33 ms, matrix 64×64, voxel size 3×3×3mm. The total acquisition time was about 11 min, the number of functional volumes was 334. For each participant we also acquired high-resolution T1-weighted structural images (MPRAGE, 176 axial slices, slice thickness = 1 mm, FOV = 256 mm, EN (Inversion Time) = 1020 ms, flip angle = 7 °, TR = 2700 ms, TE = 4.18 ms).

Image pre-processing and analysis

All analyses of fMRI data were carried out with BrainVoyager QX version 2.8 (http://www.brainvoyager.com/) running on a Windows OS. The experimental task session was preceded by 4 dummy scans to eliminate the magnetic saturation effect. Pre-processing steps of functional images provided for 3D motion correction using trilinear interpolation and linear trend removal, realigning of each volume to the first volume of the session to correct artifacts due to movements of the head. Then, the realigned functional 2D images were co-registered with the 3D anatomical image. To improve the co-registration process, the 3D anatomical image was corrected for inhomogeneity (2 cycles), and brain tissue was segregated from head tissue. Functional 2D images were translated and rotated into the AC-PC plane, and eight landmarks for the borders of the cerebrum were defined. After pre-processing, functional images were normalized into a Talairach space (Talairach & Tournoux, 1988), and an 8-mm full-width at half-maximum Gaussian smoothing was applied. Eight predictors, one for each sound condition (BC, BL, AC, and CS) in each task (SOT and GOT) were convolved with the hemodynamic response function (HRF). For statistical analysis of the activation blocks defined by the experimental paradigm, we defined a general linear model (GLM) with the predictors of experimental conditions (2 tasks * 4 sounds) to create a whole brain statistical map for each participant. The first whole brain analysis (random-effects GLM, p(Bonf)<.05) aimed to probe the % signal difference of the cerebral activation in association with the two tasks (SOT and GOT) in brain regions compatible with the DMN (namely MPFC, PCC, bilateral IPL) (Buckner et al., 2008), thereby validating the experimental design. The analysis that followed aimed to investigate the modulation of brain activity in the medial prefrontal (MPFC) and posterior cingulate cortices (PCC), the two midline nodes of the default mode network (DMN). A priori ROIs were defined anatomically using the same masks used in De Pisapia et al. (2013): MPFC x=3 y=49 z=20 (3926 voxels) and PCC x=−1 y=−46 z=25 (1827 voxels). The ROI analysis was conducted as a follow-up. First, we conducted a whole brain contrast of all conditions > rest (random-effects GLM, q(FDR)<.05) (Genovese, Lazar, & Nichols, 2002). Next, individual beta values evoked by each condition were retrieved within each ROI, and a random-effects GLM analysis was carried out to test for between-group differences in main effects and interaction effects.

Behavioral Experiment 2

Participants

We recruited 23 healthy non-parent adults (12 females, M age 22.91 ± 2.95 years; 11 males, 23.00 ± 2.83 years). Recruitment procedures and inclusion/exclusion criteria were the same as for the fMRI Experiment 1.

Stimuli and procedure

Tasks and stimuli were the same as in the fMRI Experiment 1. Response times (RTs) were collected from button response box.

RESULTS

fMRI Experiment 1

First, we looked at differences in cerebral activity between the SOT and the GOT (Figure 2). Data from the whole brain analysis were submitted to two-tailed repeated-measures ANOVA. We found greater activity during the SOT than the GOT (F(1,19)=50.75, p<0.001, p(Bonf) < .05) in midline structures compatible with the DMN, namely PCC (BA 31), vMPFC (BA 10), medial SFG (BA6) that included dMPFC BA 24 and 32, bilateral inferior parietal lobe IPL (BA 40), and left middle temporal gyrus MTG (BA 21, 39). See Table 1 for all activated brain regions. Analyses revealed significant effects for sound (F(3,57) =5.80, p=.002) in bilateral STG (BA22) (Table 2). No significant main effect of gender or the 2- or 3-way interactions emerged.

Fig. 2.

Fig. 2

Cerebral activation in main effect of task. Brain regions that showed greater activation in the SOT in contrast to the GOT (p(Bonf) < .05). The self-oriented task involved a cerebral network which was compatible with the DMN. Abbreviations: SOT= self-oriented task, GOT= goal-oriented task, MPFC= medial prefrontal cortex, SFG= superior frontal gyrus, PCC= posterior cingulate cortex, MTG= middle temporal gyrus.

Table 1.

Main effect of task. Self-referential decision (SOT) versus syllable counting (GOT). Brain regions compatible with the default mode network at are highlighted in italics.

BA Left/Right x y z Voxels at p(Bonf)<.05 F
Superior Frontal Gyrus 6 L −13 19 57 18748 207,251
Middle Temporal Gyrus 39 L −49 −62 21 2930 164,357
Inferior Parietal Lobule 40 R 47 −35 42 3456 135,766
Inferior Frontal Gyrus 47 L −46 25 −9 3532 122,766
Middle Frontal Gyrus 9 R 35 31 21 1702 122,180
Inferior Parietal Lobule 40 L −34 −47 39 2870 108,429
Posterior Cingulate 31 L −7 −50 24 1989 94,064
Precentral Gyrus 6 L −46 1 27 431 92,451
Middle Temporal Gyrus 21 L −52 −14 −18 3088 88,619
Precuneus 7 R 26 −65 33 1002 87,901
Lingual Gyrus 18 L −10 −71 −3 1555 86,482
Middle Frontal Gyrus 6 L −40 13 48 955 83,403
Medial Frontal Gyrus 10 L −1 46 −6 783 79,355
Declive * R 11 −74 −12 562 73,428
Cuneus 17 R 14 −89 6 766 72,879

BA = Brodmann Area. Left/Right = left or right hemisphere. x, y, and z coordinates are in Talairach space. Voxels = cluster size in voxels.

Table 2.

Main effect of sound. BA = Brodmann Area. Left/Right = left or right hemisphere. x, y, and z coordinates are in Talairach space. Voxels = cluster size in voxels.

BA Left/Right x y z Voxels at p(Bonf)<.05 F
Superior Temporal Gyrus 22 R 53.0 −8.0 0.0 13980 105,452
Superior Temporal Gyrus 22 L −52.0 −11.0 3.0 11949 89,594

A main aim of Experiment 1 was to investigate gender differences with regard to whether task-unrelated infant and control sounds influence activation of the DMN associated with the execution of a task. In the following analysis, we focused on two specific ROIs, the midline nodes of the DMN identified previously (De Pisapia et al., 2013).

Medial prefrontal cortex (MPFC)

We observed a significant main effect of task (SOT versus GOT) in the MPFC (F(1,19)=75.12, p < .001, ηp2 = .790). This anterior medial node of the DMN activated in the SOT and deactivated in the GOT. Gender and sound main effects and all 2- and 3-way interactions were not significant. Because there was a strong effect of task, the following two-tailed repeated-measures ANOVAs aimed to disaggregate the main effects of sound and gender and the 2-way interaction in each task separately. Analyses revealed a significant 2-way interaction of sound and gender in the GOT, but not in SOT. No significant main effects in both SOT and GOT emerged.

SOT

Although women deactivated more than men the MPFC, especially at the onset of infant cry (Figure 4), the analysis revealed no gender differences in the contrasts of interest, namely pairwise comparisons between infant crying and other sounds (Figure 3a).

Fig. 4.

Fig. 4

ROI analysis focused on MPFC and PCC in the SOT. Bars represent the BOLD signal change in association with each sound: AC, BC, CS, and BL. Grey and white bars represent, respectively, men and women. Abbreviations: SOT= self-oriented task, MPFC= medial prefrontal cortex, PCC= posterior cingulate cortex, BC = baby crying, AC = adult crying, CS = control sound, and BL = baby laughing.

Fig. 3.

Fig. 3

ROI analysis focused on MPFC and PCC in the SOT and the GOT. Grey and white bars represent, respectively, men and women. Panels (a) and (b) represent the change BOLD signals in the MPFC during the SOT and GOT in the following contrasts: AC>BC, CS>BC and BL>BC. Panels (c) and (d) represent the change BOLD signals in the PCC during the SOT and GOT with the same contrasts: AC>BC, CS>BC and BL>BC. Abbreviations: SOT= self-oriented task, GOT= goal-oriented task, ROI= region of interest, MPFC= medial prefrontal cortex, PCC= posterior cingulate cortex, BC = baby crying, AC = adult crying, CS = control sound, and BL = baby laughing.

(*) p<.05

GOT

Within-subject contrasts showed that the sound*gender interaction in the GOT was significant for infant crying (BC) versus adult crying (AC) (F(1,20)=4.58, p=.045, ηp2=.186). We found a significant gender difference in BOLD signals comparing adult cry with baby cry (female BOLD AC-BC = −.063 ± .101; male BOLD AC-BC = .258 ± .110; t(20) = 2.25, p = .036) (Figure 3b). Men showed weaker deactivation of the MPFC in association with adult crying compared to infant crying).

Posterior cingulate cortex (PCC)

We observed a significant main effect of task (SOT versus GOT) in the PCC (F(1,19)=45.912, p<.001, ηp2=.697) and a trend in the interaction of task*sound*gender (F(1,19)=2.164, p=.101, ηp2=.098). We did not observe any significant main effects of sound or gender or 2-way interactions. Given the strong main effect of the task and the trend in the 3-way interaction, the following two-tailed repeated-measures ANOVAs focused on the main effects of sound and gender and 2-way interaction in each task separately. Analyses showed a significant 2-way interaction of sound and gender in the GOT, and a trend in the SOT. Main effects of sound and gender in SOT and GOT were not significant.

SOT

We found a trend in within-subject sound*gender interaction in the contrast of infant crying (BC) versus adult crying (AC) (F(1,,20)=2.89, p=.104, ηp2=.126). Between-group comparisons revealed that women deactivated the PCC more than men when listening to infant crying in contrast to adult crying (femaleBOLDAC-BC=−.165±.053; maleBOLDAC-BC=.008±.075; t(20)=1.78, p=.090) and infant laughing (femaleBOLDBC-BL=−.170±.091; maleBOLDBC-BL=.039±.088; t(20)=1.73, p=.099) (Figure 3c). This deactivation in response to infant cries (Figure 4) occurred in women while engaged in a SOT, which positively activates the DMN. Looking at this contrast in women and men independently, the follow-up LSD (Least Significant Difference) pairwise comparisons showed greater deactivation of the posterior node of the DMN in association with the onset of infant crying in women compared with adult crying (t(10)=3.10, p=.011), but not in men (t10=0.11, p=.917).

GOT

As in the MPFC, within-subject contrasts showed a significant sound*gender interaction in the contrast of infant crying (BC) versus adult crying (AC) (F(1,20)=4.696, p=.042, ηp2=.190). From between-group comparisons, we found lesser cerebral deactivation of the PCC in men than in women with the onset of adult crying (femaleBOLDAC-BC=−.081± .091; maleBOLDAC-BC=.248± .122; t(20)=2.27, p=.034) (Figure 3d). No other significant effects emerged.

Behavioral Experiment 2

Because reaction time (RT) was not normally distributed, raw RT data in ms were transformed using a natural logarithm and submitted to repeated-measures ANOVA. We found a significant main effect of task (F(1,21)=33.24, p=.001, ηp2=.613). Sound and gender factors and 2-way interactions did not reach significance. Furthermore, we found a trend to significance in the 3-way interaction task*sound*gender (F(3,63)=2.19, p=.098, ηp2=.094). Given the significant main effect of task, data were submitted to further two-tailed repeated-measures ANOVAs to explore the main effects of sound and gender and their interactions in each task separately. Analyses showed a significant 2-way sound*gender interaction in GOT. No significant main effects of sound and gender in SOT and GOT or 2-way interaction in SOT emerged. To be consistent with the fMRI results, the significant contrasts of the behavioral data are reported for each task separately.

SOT

The analysis revealed no significant main effects or interactions.

GOT

The interaction between sound and gender was significant (F(1,63)=2.80, p=.047, ηp2=.117). Within-subject contrasts revealed that the sound*gender interaction was significant in the contrast infant crying (BC) versus adult crying (AC) (F(1,21)=4.69, p=.042, ηp2=.183). Between-group comparisons showed that men were slower in association with AC than BC, whereas women showed the opposite pattern (femaleAC-BC = −86.041 ± 82.797 ms; male AC-BC = 198.416 ± 96.626 ms; t(21)= −2.15, p=.042) (Figure 5).

Fig. 5.

Fig. 5

Reaction Time (ms). Plots represent participants’ performances in the GOT, while they were listening to adult cry (AC), baby cry (BC), baby laugh (BL), and the noise control sound (CS). Gender differences were found in AC>BC contrast. Grey and white bars represent, respectively, men and women. Abbreviations: GOT= goal-oriented task, BC = baby crying, AC = adult crying, CS = control sound, and BL = baby laughing

(*) p<.05

DISCUSSION

Our general purpose was to better understand how brain processes during listening to infant crying differ between women and men. We investigated the effect of the onset of infant crying versus control sounds on brain processes activated during concurrent self- and externally oriented activities (self-oriented task [SOT] = self-referential decision; goal-oriented task [GOT] = syllabic counting), two tasks that engage the default mode network (DMN) in contrasting ways (Fox, Zhang, Snyder, & Raichle, 2009; Spreng, Stevens, Chamberlain, Gilmore, & Schacter, 2010; van der Meer et al., 2010). We focused on activation of the medial prefrontal cortex (MPFC) and posterior cingulate cortex (PCC), the two main nodes of the DMN, previously identified in listeners’ responsiveness to infant crying (De Pisapia et al., 2013).

In the fMRI study, looking at the cerebral activation of the MPFC and PCC during the SOT, the sound effect was observed during infant crying (in contrast with adult crying) in women (not in men). Women showed greater deactivation in the PCC. The DMN is activated when the attentional focus of individuals is on self-monitoring processes about their own feelings, thoughts, episodic memories, and body perception, but also during unfocused attention states (Gusnard et al., 2001; Shulman et al., 1997). The DMN is also activated in self-related mental states, like deciding about one’s own personality in the SOT (van der Meer et al., 2010, Whitfield-Gabrieli et al., 2011), and the deactivation we observed in women suggests a shift of attention from the SOT to the sudden infant cry sound (Di & Biswal, 2014; Sridharan, Levitin, & Menon, 2008). In general, auditory perception tasks deactivate the DMN (Abbott, Kim, Sponheim, Bustillo, & Calhoun, 2010; Binder et al., 1999; McKiernan et al., 2003). However, it has been reported that several factors influence the degree of the deactivation in this network, including the load of the task, the discriminability and presentation rate of stimuli, and the emotive valence and salience of the stimuli (Antrobus, 1968; Antrobus, Singer, & Greenberg, 1966; Binder et al., 1999; Giambra 1995; McGuire et al., 1996; McKiernan, Kaufman, Kucera-Thompson, & Binder, 2003; Nummenmaa et al., 2014; Pope & Singer, 1976; Shulman et al., 1997; Teasdale, Proctor, Lloyd, & Baddeley, 1993). In our study, infant crying exerted more interference than other sounds in women, capturing attentional resources from the SOT, and deactivation of the PCC reflected the disengagement from the task.

In the GOT, which requires shifting attention toward an external orientation, DMN deactivated in all participants (Gusnard et al., 2001; Raichle et al., 2001). Contrary to our expectations, men but not women were significantly distracted by sounds in this task. Men showed lesser deactivation than women in the MPFC and PCC to female adult crying when contrasted with infant crying. In other words, the GOT deactivated the MPFC and PCC, but female adult crying elicited positive activation of the same regions. The observed weak deactivations in men might reflect a resource competition to process female adult crying and simultaneously count syllables. In fact, the DMN is partially activated in response to exogenous stimuli that have self-relevance (Li, Mai, & Liu, 2014; Nummenmaa et al., 2014; Vessel, Starr, & Rubin, 2013). The DMN is also positively activated when individuals evaluate their own (and others’) beliefs, perspectives, and mental states (Li et al., 2014). Internal thoughts can coexist with individuals performing externally oriented tasks (Greicius & Menon, 2004; Shulman et al., 1997; Wilson, Molnar-Szakacs, & Iacoboni, 2008). In the GOT in the present study, the weak deactivation in men in association with female adult crying might indicate that this specific sound, more than the other sounds, elicits self-relevant processes which can contribute to mentally understanding others. Consequently, self-relevant processes, associated with the partial activation of the DMN, elicited by female adult crying, might explain the reduced deactivation of the MPFC and PCC in men in the GOT (Li et al., 2014; Nummenmaa et al., 2014).

The findings of the behavioral study, tightly tied to the fMRI study, partially supported the neurobiological data. Contrary to our initial expectations, but consonant with the fMRI findings, we did not observe any effect of sound on participants’ performance in the SOT. Deciding whether an adjective describes one’s own personality requires different processes from those underlying syllable counting. Having or not having a specific personality trait is never entirely true or false. There is a variable margin of uncertainty between individuals, which could have further interfered with response times, masking the interference of concurrent sounds. Coherent with the fMRI results, in the GOT men were slower while listening to female adult crying in contrast to infant crying.These data accord with studies that report that the best performance in tasks is linked to the optimal deactivation of the DMN during externally oriented tasks (Anticevic et al., 2012; Bartova et al., 2015; De Pisapia et al., 2012; Fox et al., 2006; Mennes et al., 2011). In the fMRI study and in the behavioral study, men showed weak deactivation in the DMN and long RTs in the GOT while listening to female adult crying.

An intriguing aspect that emerged from the present findings is that, whereas the saliency of adult crying affected both the MPFC and the PCC in men, the effect of infant crying in women was observed only in the PCC. To our knowledge, only a few studies have reported gender differences in the activity of the DMN. For example, mind wandering without the presence of irrelevant sounds elicits higher activity in DMN regions, and stronger functional connectivity between the anterior and the posterior medial regions of the DMN in women than men (Bluhm et al., 2008). Furthermore, men show higher deactivation in the ACC and PCC during a mental rotation task than do women (Jimenez, Mancini-Marïe, Lakis, Rinaldi, & Mendrek, 2010). In tasks that activate the DMN, women tend to have higher activation in the DMN than men. This difference might facilitate men in externally cognitive tasks (Gusnard et al. 2001; Raichle et al. 2001), and women in introspective tasks (Jiménez et al. 2010). A possible interpretation of the different involvement of MPFC and PCC in women than in men might be that greater activation of DMN in women (Bluhm et al., 2008) could promote greater expertise in self-referential tasks, which could manifest itself through the capacity in women to only partially engage the DMN in the SOT, thereby freeing brain resources for elaboration of the concurrent salient infant sound.

Sound sensitivity differs in women and men. Infant crying affected women, and female adult crying affected men. In the present study we used infant sounds, which are known to trigger attuned responses in parents (Pechtel et al., 2013). In addition, as control sounds we used female adult crying and baby laughing, which convey emotive meanings like infant crying.

Infant crying distracted women while their attention focused on the SOT. The DMN deactivation we found in women while listening to infant crying is convergent with a recent study of mind wandering (resting state) and passive listening to sounds, which reported greater deactivation of the DMN with infant crying in women than in men (De Pisapia et al., 2013). While not designed to investigate the DMN, another study reported that, in response to infant vocalizations (crying and laughing), women had strong deactivation in an anterior medial cluster, including the anterior cingulate cortex (ACC) and anterior medial prefrontal cortex, which overlap the medial anterior node of the DMN (Seifritz et al., 2003). Passively listening to sounds deactivates the DMN and, based on the saliency of the ongoing stimulation, the deactivation of the DMN increases with the saliency of sounds (Di & Biswal, 2014; Menon & Uddin, 2010; Sridharan et al., 2008). Although some physiological studies that tested reactions to baby crying showed inconsistent findings on gender differences (Boukydis & Burgess, 1982; Brewster, Nelson, McCanne, Lucas, & Milner, 1998; Frodi et al., 1978; Out et al., 2010), other recent investigations focused on more adaptive reactions to distressed sounds highlight clearer differences between genders (Byrd-Craven, Auer, & Kennison, 2014; Tkaczyszyn et al., 2012). For example, a study aimed to test physiological reactions to negative sounds, such as baby cries and sounds of violence, in non-parents, reported that women showed a substantial decrease of heart rate variability–high frequency (HRV-HF) while listening to baby crying compared to men (Tkaczyszyn et al., 2012). The HRV-HF is associated with vagal activity and the parasympathetic system; the authors hypothesized that the HRV-HF decrease suggests reduced activation of the parasympathetic system in favor of greater involvement of the sympathetic system, a change that predisposes the body to react. Furthermore, women show lower HR than do men also when exposed to prolonged infant crying (Out, Pieper, Bakermans-Kranenburg, & Van IJzendoorn, 2010). Other researchers have reported that infant crying represents a stressor that increases the cortisol response more than other stressor sounds (such as hate speech) in childless women and not in childless men (Byrd-Craven et al., 2014). In childless adults, women are more likely than men to prefer infant faces and display care behaviors and feelings when exposed to infant cues (Blakemore, 1981; Charles, Alexander, & Saenz, 2013; Lockard, Daley, & Gunderson, 1979; Maestripieri & Pelka, 2002).

Conversely, adult crying affected brain responses and performance in GOT in men. To our knowledge, our study is the first to show the effect of adult crying on DMN cerebral activity, and thus there is no other evidence with which to make direct comparisons. However, two closely related lines of research can be considered in interpreting our results. First, recent physiological studies suggest that nulliparous men show higher physiological reactions to violent sounds (i.e. cries of pain or impact sound of slaps on the skin) and hate speech coming from the environment (Byrd-Craven et al., 2014; Tkaczyszyn et al., 2012) than infant crying. Because of greater responsiveness in men to threat sounds, adult crying more than infant crying may be a stressor that potentially communicates environmental danger. Second, in the present study adult crying sounds came from women. Female stimuli might exert stronger attraction than infant cues in nulliparous men for their relevance to the formation of close relationships. For example, men prefer female faces over male faces (Alexander & Charles, 2009). Other researchers have found that, during simultaneous presentation of infant and adult faces, men prefer to fixate on an infant face only if the concurrent adult face is a male, but not when the counterpart is a female (Cárdenas, Harris, & Becker, 2013). Other evidence shows that in mammals, and in humans, social attachment and bonding, including mating and parenting, are mediated by hormones (Feldman 2012; Hines, 2011; Lee, Macbeth, Pagani, & Young, 2009; Rilling & Young, 2014). For example, oxytocin (OT) is a hormone that is involved in the sympathetic response to infant stimuli in mothers and fathers (Apter-Levi, Zagoory-Sharon, & Feldman, 2013; Bales, 2014; Feldman, 2012; Swain et al., 2008). Childless men show lower plasma OT than fathers. Childless men show higher activation in reward regions when exposed to sexual stimuli, whereas fathers show the opposite pattern (Mascaro, Hackett, & Rilling, 2014). The effect of female adult crying that we observed in this experiment in young and childless men could be interpreted in light of evolutionary perspectives. An important future direction of this study is to extend investigations to parents as well as to vary the gender of adult cries.

There is evidence that men and women process negative affective experiences through different cerebral mechanisms. For example, men show stronger causal connectivity than women between the amygdala, a limbic structure which elaborates negative emotions, and the dorsal medial prefrontal cortex, connected with cognitive processes and reasoning (Lungu, Potvin, Tikàsz, & Mendrek, 2015). Other findings suggest that the intensity of emotional experience in women correlates with the activation of the anterior insula, which is connected with self-focused perceptions (e.g., bodily sensations), whereas in men the same affective experience correlates with the activation of visual areas, suggesting an external world-connected way to process affective stimulation (Moriguchi, Touroutoglou, Dickerson, & Barrett, 2014). Following this line of thought, in men the increase of emotional load activates brain structures compatible with cognitive processing, whereas women show greater involvement of limbic circuits (Hall, Witelson, Szechtman & Nahmias, 2004). In addition to the different sound sensitivity observed in women and men, gender difference in processing negative emotive experience further support our findings. In women affective and self-focused processes activated by negative emotional sounds might be entered in competition with cerebral processes that underlie the SOT, and the increase in emotive load stimulated by the greater saliency of infant crying might have augmented this competition, thus affecting the execution of SOT. By contrast, in men cognitive processes underlying the elaboration of negative emotive stimuli might have had stronger interference with brain cognitive mechanisms activated in GOT, emerging to the most salient sound, the adult crying.

Our study has a number of limitations. One is the small sample sizes in both fMRI and behavioral studies. Sample size reduces statistical power and increases the likelihood of Type II error, the failure to reject a false null hypothesis. Thus, the low-significant difference between men and women in the SOT might be a consequence of the low statistical power in this study. Future research should extend the main findings of the present study using larger samples. Moreover, we did not collect behavioral measures during the fMRI session; consequently, it was not possible to investigate interactions between BOLD signals and behavioral measures. fMRI and behavioral measures came from independent samples. Nor did we control for individual differences in the amount of participants’ previous experience with children. Typically, women are more involved in direct child care, whereas men are involved in more indirect child care (Bornstein, 2015). Further investigations should address this association.

Infant crying elicits automatic attention shifts in women who are engaged in self-referential thoughts, resulting in greater deactivation of the DMN, whereas female adult crying elicits in men less efficient deactivation of the DMN in self-unrelated cognitive tasks. The present study extended previous findings (De Pisapia et al., 2013) and used a more ecological experimental design than a passive listening task to investigate how sensitivity to salient sounds is influenced by what listeners are doing. Future studies should investigate adult responsiveness to infant crying in more ecologically valid settings that are representative of situations in which caregivers are called on to respond to infant signals.

Acknowledgments

This research was partially supported by the Intramural Research Program of the NIH, NICHD.

References

  1. Abbott CC, Kim D, Sponheim SR, Bustillo J, Calhoun VD. Decreased default mode neural modulation with age in schizophrenia. The American Journal of Geriatric Psychiatry. 2010;18:897–907. doi: 10.1097/JGP.0b013e3181e9b9d9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Alexander GM, Charles N. Sex Differences in Adults’ Relative Visual Interest in female and male faces, toys, and play styles. Archives of Sexual Behavior. 2009;38:434–441. doi: 10.1007/s10508-008-9429-7. [DOI] [PubMed] [Google Scholar]
  3. Anticevic A, Cole MW, Murray JD, Corlett PR, Wang XJ, Krystal JH. The role of default network deactivation in cognition and disease. Trends in Cognitive Sciences. 2012;16:584–592. doi: 10.1016/j.tics.2012.10.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Antrobus JS, Singer JL, Greenberg S. Studies in the stream of consciousness: Experimental enhancement and suppression of spontaneous cognitive processes. Perceptual and Motor Skills. 1966;23:399–417. 1966. doi: pdf.10.2466.pms.1966.23.2.399. [Google Scholar]
  5. Antrobus JS. Information theory and stimulus independent thought. British Journal of Clinical Psychology. 1968;59:423–430. doi: 10.1111/j.2044-8295.1968.tb01157.x. [DOI] [Google Scholar]
  6. Apter-Levi Y, Zagoory-Sharon O, Feldman R. Oxytocin and vasopressin support distinct configurations of social synchrony. Brain Research. 2014;1580:124–132. doi: 10.1016/j.brainres.2013.10.052. [DOI] [PubMed] [Google Scholar]
  7. Bales KL. Comparative and developmental perspectives on oxytocin and vasopressin. In: Mikulincer M, Shaver PR, editors. Mechanisms of social connection: From brain to group. Washington (DC): American Psychological Association; 2014. pp. 15–31. [Google Scholar]
  8. Barrett J, Fleming AS. Annual Research Review: All mothers are not created equal: neural and psychobiological perspectives on mothering and the importance of individual differences. Journal of Child Psychology and Psychiatry. 2011;52:368–397. doi: 10.1111/j.1469-7610.2010.02306.x. [DOI] [PubMed] [Google Scholar]
  9. Bartova L, Meyer BM, Diers K, Rabl U, Scharinger C, Popovic A, Pezawas L. Reduced default mode network suppression during a working memory task in remitted major depression. Journal of Psychiatric Research. 2015;64:9–18. doi: 10.1016/j.jpsychires.2015.02.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Binder JR, Frost JA, Hammeke TA, Bellgowan PS, Rao SM, Cox RW. Conceptual processing during the conscious resting state. A functional MRI study. Journal of Cognitive Neuroscience. 1999;11:80–95. doi: 10.1162/089892999563265. [DOI] [PubMed] [Google Scholar]
  11. Blakemore JE. Age and sex differences in interaction with a human infant. Child Development. 1981;52:386–388. doi: 10.2307/1129259. [DOI] [Google Scholar]
  12. Bluhm RL, Osuch EA, Lanius RA, Boksman K, Neufeld RWJ, Theberge J, Williamson P. Default mode network connectivity: effects of age sex, and analytic approach. NeuroReport. 2008;19(8):887–891. doi: 10.1097/WNR.0b013e328300ebbf. [DOI] [PubMed] [Google Scholar]
  13. Boukydis CF, Burgess RL. Adult physiological response to infant cries: effects of temperament of infant, parental status, and gender. Child Development. 1982;53:1291–1298. doi: 10.2307/1129019. [DOI] [PubMed] [Google Scholar]
  14. Brewster AL, Nelson JP, McCanne TR, Lucas DR, Milner JS. Gender differences in physiological reactivity to infant cries and smiles in military families. Child Abuse & Neglect. 1998;22:775–788. doi: 10.1016/S0145-2134(98)00055-6. [DOI] [PubMed] [Google Scholar]
  15. Bornstein MH. Children’s parents. In: Bornstein MH, Leventhal T, editors. Ecological settings and processes in developmental systems Volume 4 of the Handbook of child psychology and developmental science. 7e. Hoboken, NJ: Wiley; 2015. pp. 55–132. Editor-in-chief: R. M. Lerner. [Google Scholar]
  16. Buckner RL, Andrews-Hanna JR, Schacter DL. The brain’s default network: anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences. 2008;1124:1–38. doi: 10.1196/annals.1440.011. [DOI] [PubMed] [Google Scholar]
  17. Byrd-Craven J, Auer BJ, Kennison SM. Adaptive Human Behavior and Physiology. Advance online publication; 2014. Sex Differences in Salivary Cortisol Responses to Sex-Linked Stressors: A Test of the Tend-and-Befriend Model. [DOI] [Google Scholar]
  18. Cárdenas RA, Harris LJ, Becker MW. Sex differences in visual attention toward infant faces. Evolution and Human Behavior. 2013;34:280–287. doi: 10.1016/j.evolhumbehav.2013.04.001. [DOI] [Google Scholar]
  19. Cecchini M, Lai C, Langher V. Communication and crying in newborns. Infant Behavior and Development. 2007;30:655–665. doi: 10.1016/j.infbeh.2007.03.002. [DOI] [PubMed] [Google Scholar]
  20. Charles NE, Alexander GM, Saenz J. Motivational value and salience of images of infants. Evolution and Human Behavior. 2013;34:373–381. Retrieved from: http://dx.doi.org/10.1016/j.evolhumbehav.2013.06.005. [Google Scholar]
  21. De Pisapia N, Bornstein MH, Rigo P, Esposito G, De Falco S, Venuti P. Sex differences in directional brain responses to infant hunger cries. Neuroreport. 2013;24:142–146. doi: 10.1097/WNR.0b013e32835df4fa. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. De Pisapia N, Turatto M, Lin P, Jovicich J, Caramazza A. Unconscious priming instructions modulate activity in default and executive networks of the human brain. Cerebral Cortex. 2012;22:639–649. doi: 10.1093/cercor/bhr146. [DOI] [PubMed] [Google Scholar]
  23. Debbané M, Vrtička P, Lazouret M, Badoud D, Sander D, Eliez S. Self-reflection and positive schizotypy in the adolescent brain. Schizophrenia Research. 2014;152:65–72. doi: 10.1016/j.schres.2013.06.027. [DOI] [PubMed] [Google Scholar]
  24. Di X, Biswal BB. Modulatory interactions between the default mode network and task positive networks in resting-state. PeerJ. 2014;2:e367. doi: 10.7717/peerj.367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Feldman R. Oxytocin and social affiliation in humans. Hormones and Behavior. 2012;61:380–391. doi: 10.1016/j.yhbeh.2012.01.008. [DOI] [PubMed] [Google Scholar]
  26. Esposito G, Venuti P. How is crying perceived in children with Autistic Spectrum Disorder. Res Autism Spectr Disord. 2008;2:371–384. doi: 10.1016/j.rasd.2007.09.003. [DOI] [Google Scholar]
  27. Esposito G, Venuti P. Understanding early communication signals in Autism Spectrum Disorder: a study on perception of cry in toddlers. J Intellectual Disabil Res. 2010;54:216–223. doi: 10.1111/j.1365-2788.2010.01252.x. [DOI] [PubMed] [Google Scholar]
  28. Fox MD, Raichle ME. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nature Reviews Neuroscience. 2007;8:700–711. doi: 10.1038/nrn2201. [DOI] [PubMed] [Google Scholar]
  29. Fox MD, Snyder AZ, Zacks JM, Raichle ME. Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses. Nature Neuroscience. 2006;9:23–25. doi: 10.1038/nn1616. [DOI] [PubMed] [Google Scholar]
  30. Fox MD, Zhang D, Snyder AZ, Raichle ME. The global signal and observed anticorrelated resting state brain networks. Journal of Neurophysiology. 2009;101:3270–3283. doi: 10.1152/jn.90777.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Frodi AM, Lamb ME, Leavitt LA, Donovan WL. Fathers’ and mothers’ responses to infant smiles and cries. Infant Behavior and Development. 1978;1:187–98. doi: 10.1016/S0163-6383(78)80029-0. [DOI] [Google Scholar]
  32. Frodi AM, Lamb ME. Sex differences in responsiveness to infants, A developmental study of psychophysiological and behavioral responses. Child Development. 1978;49:1182–188. doi: 10.2307/1128758. [DOI] [PubMed] [Google Scholar]
  33. Genovese CR, Lazar NA, Nichols T. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. NeuroImage. 2002;15:870–878. doi: 10.1006/nimg.2001.1037. [DOI] [PubMed] [Google Scholar]
  34. Giambra LM. A laboratory method for investigating influences on switching attention on to task-unrelated imagery and thought. Consciousness and Cognition. 1995;4:1–21. doi: 10.1006/ccog.1995.1001. [DOI] [PubMed] [Google Scholar]
  35. Green JA, Jones LE, Gustafson GE. Perception of Cries by Parents and Nonparents: Relation to Cry Acoustics. Developmental Psychology. 1987;23:370–82. doi: 10.1037/0012-1649.23.3.370. [DOI] [Google Scholar]
  36. Greicius MD, Krasnow B, Reiss AL, Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences. 2003;100:253–58. doi: 10.1073/pnas.0135058100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Greicius MD, Menon V. Default-mode activity during a passive sensory task, Uncoupled from deactivation but impacting activation. Journal of Cognitive Neuroscience. 2004;16:1484–492. doi: 10.1162/0898929042568532. [DOI] [PubMed] [Google Scholar]
  38. Gusnard DA, Akbudak E, Shulman GL, Raichle ME. Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function. Proceedings of the National Academy of Sciences. 2001;98:4259–264. doi: 10.1073/pnas.071043098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Gusnard DA, Raichle ME. Searching for a baseline: Functional imaging and the resting human brain. Nature Reviews Neuroscience. 2001;2:685–94. doi: 10.1038/35094500. [DOI] [PubMed] [Google Scholar]
  40. Hall GBC, Witelson SF, Szechtman H, Nahmias C. Sex differences in functional activation patterns revealed by increased emotion processing demands. Neuroreport. 2004;15:219–223. doi: 10.1097/01.wnr.0000101310.64109.94. [DOI] [PubMed] [Google Scholar]
  41. Hines M. Gender development and the human brain. Annu Rev Neurosci. 2011;34:69–88. doi: 10.1146/annurev-neuro-061010-113654. [DOI] [PubMed] [Google Scholar]
  42. Jiménez JA, Mancini-Marïe A, Lakis N, Rinaldi M, Mendrek A. Disturbed sexual dimorphism of brain activation during mental rotation in schizophrenia. Schizophr Res. 2010;122:53–62. doi: 10.1016/j.schres.2010.03.011. [DOI] [PubMed] [Google Scholar]
  43. Lee HJ, Macbeth AH, Pagani J, Young WS. Oxytocin: the Great Facilitator of Life. Progress in Neurobiology. 2009;88:127–151. doi: 10.1016/j.pneurobio.2009.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Li W, Mai X, Liu C. The default mode network and social understanding of others: what do brain connectivity studies tell us. Frontiers in Human Neuroscience. 2014;8:74. doi: 10.3389/fnhum.2014.00074. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Ljung A, Wahlforss E. SoundCloud social sound platform [Sound library] 2008 Retrieved from https://soundcloud.com/
  46. Lockard JS, Daley PC, Gunderson VM. Chicago maternal and Paternal Differences in Infant Carry: U.S. and African Data. The American Naturalist. 1979;113:235–246. Retrieved from: http://www.jstor.org/stable/2460202. [Google Scholar]
  47. Lorberbaum JP, Newman JD, Horwitz AR, Dubno JR, Lydiard RB, Hamner MB, George MS. A potential role for thalamocingulate circuitry in human maternal behavior. Biological Psychiatry. 2002;51:431–445. doi: 10.1016/S0006-3223(01)01284-7. [DOI] [PubMed] [Google Scholar]
  48. Lungu O, Potvin S, Tikàsz A, Mendrek A. Sex differences in effective fronto-limbic connectivity during negative emotion processing. Psychoneuroendocrinology. 2015;62:180–188. doi: 10.1016/j.psyneuen.2015.08.012. http://dx.doi.org/10.1016/j.psyneuen.2015.08.012. [DOI] [PubMed] [Google Scholar]
  49. Maestripieri D, Pelka S. Sex differences in interest in infants across the lifespan — A biological adaptation for parenting? Human Nature. 2002;13:327–344. doi: 10.1007/s12110-002-1018-1. [DOI] [PubMed] [Google Scholar]
  50. Maguire EA, Mummery CJ. Differential modulation of a common memory retrieval network revealed by positron emission tomography. Hippocampus. 1999;9:54–61. doi: 10.1002/(SICI)1098-1063(1999)9:1<54::AID-HIPO6>3.0.CO,2-O. [DOI] [PubMed] [Google Scholar]
  51. Mascaro JS, Hackett PD, Rilling JK. Differential neural responses to child and sexual stimuli in human fathers and non-fathers and their hormonal correlates. Psychoneuroendocrino. 2014;46:153–63. doi: 10.1016/j.psyneuen.2014.04.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. McGuire PK, Paulesu E, Frackowiak RSJ, Frith CD. Brain activity during stimulus independent thought. Neuroreport. 1996;7:2095–2099. doi: 10.1016/S0920-9964(97)82485-1. [DOI] [PubMed] [Google Scholar]
  53. McKiernan KA, Kaufman JN, Kucera-Thompson J, Binder JR. A parametric manipulation of factors affecting task-induced deactivation in functional neuroimaging. Journal of Cognitive Neuroscience. 2003;15:394–408. doi: 10.1162/089892903321593117. [DOI] [PubMed] [Google Scholar]
  54. Mennes M, Zuo XN, Kelly C, Di Martino A, Zang YF, Biswal B, Milham MP. Linking inter-individual differences in neural activation and behavior to intrinsic brain dynamics. NeuroImage. 2011;54:2950–2959. doi: 10.1016/j.neuroimage.2010.10.046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Menon V, Uddin LQ. Saliency, switching, attention and control: a network model of insula function. Brain Structure and Function. 2010;214:655–667. doi: 10.1007/s00429-010-0262-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Messina I, Cattaneo L, Venuti P, De Pisapia N, Serra M, Esposito, Marc Bornstein. Sex-specific automatic responses to infant cries: TMS reveals greater excitability in females than males in motor evoked potentials. Front Psychol. 2015 doi: 10.3389/fpsyg.2015.01909. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Moriguchi Y, Touroutoglou A, Dickerson BC, Barrett LF. Sex differences in the neural correlates of affective experience. Soc Cogn Affect Neurosci. 2014;9:591–600. doi: 10.1093/scan/nst030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Newman JD. Neural circuits underlying crying and cry responding in mammals. Behavioural Brain Research. 2007;182:155–165. doi: 10.1016/j.bbr.2007.02.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Nokes R. Sounddogs sound library [Sound library] 1997 Retrieved from https://sounddogs.com/
  60. Nummenmaa L, Saarimäki H, Glerean E, Gotsopoulos A, Jääskeläinen IP, Hari R, Sams M. Emotional speech synchronizes brains across listeners and engages large-scale dynamic brain networks. NeuroImage. 2014;102:498–09. doi: 10.1016/j.neuroimage.2014.07.063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Out D, Pieper S, Bakermans-Kranenburg MJ, Van IJ, zendoorn MH. Physiological reactivity to infant crying: A behavioral genetic study. Genes, Brain and Behavior. 2010;9:868–76. doi: 10.1111/j.1601-183X.2010.00624.x. [DOI] [PubMed] [Google Scholar]
  62. Pechtel P, Murray LMM, Brumariu LE, Lyons-Ruth K. Reactivity, regulation, and reward responses to infant cues among mothers with and without psychopathology: an fMRI review. Translational Developmental Psychiatry. 2013;1:19673. doi: 10.3402/tdp.v1i0.19673. Retrieved from: http://dx.doi.org/10.3402/tdp.v1i0.19673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Pope KS, Singer JL. Regulation of the stream of consciousness: Toward a theory of ongoing thought. In: Schwartz GE, Shapiro D, editors. Consciousness and self-regulation. New York (NY): Plenum; 1976. pp. 101–135. [Google Scholar]
  64. Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL. A default mode of brain function. Proceedings of the National Academy of Sciences. 2001;98:676–682. doi: 10.1073/pnas.98.2.676. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Raichle ME, Snyder AZ. A default mode of brain function: a brief history of an evolving idea. NeuroImage. 2007;37:1083–1090. doi: 10.1016/j.neuroimage.2007.02.041. [DOI] [PubMed] [Google Scholar]
  66. Rilling JK, Young LJ. The biology of mammalian parenting and its effect on offspring social development. Science. 2014;345:771–776. doi: 10.1126/science.1252723. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Seifritz E, Esposito F, Neuhoff JG, Lüthi A, Mustovic H, Dammann G, Di Salle F. Differential sex-independent amygdala response to infant crying and laughing in parents versus nonparents. Biological Psychiatry. 2003;54:1367–1375. doi: 10.1016/S0006-3223(03)00697-8. [DOI] [PubMed] [Google Scholar]
  68. Shulman GL, Fiez JA, Corbetta M, Buckner RL, Miezin FM, Raichle ME, Petersen SE. Common Blood Flow Changes across Visual Tasks: II. Decreases in Cerebral Cortex. Journal of Cognitive Neuroscience. 1997;9:648–663. doi: 10.1162/jocn.1997.9.5.648. [DOI] [PubMed] [Google Scholar]
  69. Soltis J. The signal functions of early infant crying. Behavioral and Brain Sciences. 2004;27:443–458. doi: 10.1017/S0140525X0400010X. [DOI] [PubMed] [Google Scholar]
  70. Spreng RN, Stevens WD, Chamberlain JP, Gilmore AW, Schacter DL. Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition. NeuroImage. 2010;53(1):303–317. doi: 10.1016/j.neuroimage.2010.06.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Sridharan D, Levitin DJ, Menon V. A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proceedings of the National Academy of Sciences. 2008;105:12569–2574. doi: 10.1073/pnas.0800005105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Swain JE, Kim P, Ho SS. Neuroendocrinology of parental response to baby-cry. Journal of Neuroendocrinology. 2011;23:1036–041. doi: 10.1111/j.1365-2826.2011.02212.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Swain JE, Tasgin E, Mayes LC, Feldman R, Constable RT, Leckman JF. Maternal brain response to own baby-cry is affected by cesarean section delivery. Journal of Child Psychology and Psychiatry. 2008;49:1042–052. doi: 10.1111/j.1469-7610.2008.01963.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Talairach J, Tournoux P. 3-D Proportional System: An Approach to Cerebral Imaging. New York (NY): Thieme; 1988. Co-Planar Stereotaxic Atlas of the Human Brain. [Google Scholar]
  75. Teasdale JD, Proctor L, Lloyd CA, Baddeley AD. Working memory and stimulus-independent thought: Effects of memory load and presentation rate. European Journal of Cognitive Psychology. 1993;5:417–33. doi: 10.1080/09541449308520128. [DOI] [Google Scholar]
  76. Tkaczyszyn M, Olbrycht T, Makowska A, Soboń K, Paleczny B, Rydlewska A, Jankowska EA. The influence of the sounds of crying baby and the sounds of violence on haemodynamic parameters and autonomic status in young, healthy adults. International Journal of Psychophysiology. 2012;87:52–59. doi: 10.1016/j.ijpsycho.2012.10.017. [DOI] [PubMed] [Google Scholar]
  77. Van der Meer L, Costafreda S, Aleman A, David AS. Self-reflection and the brain: a theoretical review and meta-analysis of neuroimaging studies with implications for schizophrenia. Neuroscience & Biobehavioral Reviews. 2010;34:935–46. doi: 10.1016/j.neubiorev.2009.12.004. [DOI] [PubMed] [Google Scholar]
  78. Vessel EA, Starr GG, Rubin N. Art reaches within: aesthetic experience, the self and the default mode network. Frontiers in Neuroscience. 2013;7:258. doi: 10.3389/fnins.2013.00258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Whitfield-Gabrieli S, Moran JM, Nieto-Castañón A, Triantafyllou C, Saxe R, Gabrieli JDE. Associations and dissociations between default and self-reference networks in the human brain. NeuroImage. 2011;55:225–232. doi: 10.1016/j.neuroimage.2010.11.048. [DOI] [PubMed] [Google Scholar]
  80. Wilson SM, Molnar-Szakacs I, Iacoboni M. Beyond superior temporal cortex: Intersubject correlations in narrative speech comprehension. Cerebral Cortex. 2008;18:230–42. doi: 10.1093/cercor/bhm049. [DOI] [PubMed] [Google Scholar]

RESOURCES