Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-26T21:17:59.145Z Has data issue: false hasContentIssue false

Common neural correlates of disgust processing in childhood maltreatment and peer victimisation

Published online by Cambridge University Press:  28 October 2024

Lena Lim*
Affiliation:
Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore; and Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
Katya Rubia
Affiliation:
Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
Steve Lukito
Affiliation:
Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
*
Correspondence: Lena Lim. Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Background

Childhood maltreatment and peer victimisation are common sources of early-life interpersonal stress. Childhood maltreatment is associated with atypical frontolimbic emotion processing and regulation, and increased vulnerability for self-harm/suicide. However, few studies have compared the neurofunctional correlates between caregiver- versus peer-inflicted mistreatment.

Aims

We compared the alterations of neurofunctional correlates of facial emotion processing in youths exposed to childhood maltreatment or peer victimisation, and explored their associations with self-harm.

Method

Functional magnetic resonance imaging data were collected from 114 age- and gender-matched youths (39 childhood maltreatment, 37 peer victimisation and 38 controls) during an emotion discrimination task. Region-of-interest (amygdala, insula) and whole-brain analyses were conducted.

Results

Groups differed significantly during disgust processing only. Both groups had lower activation in the right amygdala and bilateral posterior insula than controls; left insular underactivation was furthermore related to increased self-harm in maltreated youths. Compared with controls, at the whole-brain level, both groups also had underactivation in a cluster of bilateral limbic-thalamic-striatal, precuneus/posterior cingulate, temporal, fusiform/lingual and cerebellar regions, which was negatively associated with emotional problems in controls, as well as a cluster of somatosensory regions associated with increased self-harm in maltreated youths.

Conclusions

Early-life interpersonal stress from caregivers or peers is associated with common underactivation of limbic-thalamic-striatal, precuneus/posterior cingulate and somatosensory regions during disgust processing. The hypoactivation of key emotion and sensory processing and self-referential brain regions could be a potential suppressive mechanism to cope with the aversive emotion; however, it may also entail increased risk of affective psychopathology in seemingly healthy youths.

Type
Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of Royal College of Psychiatrists

Emerging research underscores the influence of childhood trauma and early-life stress on the brain development of young people. Childhood maltreatment, which includes physical, sexual and emotional abuse and neglect, is a global issue with prevalence of 13–36%.1 Childhood maltreatment is associated with a wide range of psychosocial and developmental difficulties, including atypical emotion processing.Reference Teicher, Samson, Anderson and Ohashi2 Within the familial setting, repeated exposure to harsh caregiving during childhood heightens the child's sensitivity to negative socioemotional signals and adversely influences the development of neural pathways underlying emotion processing.Reference Hart, Lim, Mehta, Simmons, Mirza and Rubia3 Converging evidence indicates that childhood maltreatment is one of the strongest risk factors for psychiatric disorders, including depression, anxiety, post-traumatic stress disorder and self-harm/suicide,Reference Serafini, Canepa, Adavastro, Nebbia, Belvederi Murri and Erbuto4 where the ability to process aversive emotions seems particularly affected across disorders.Reference Dvir, Ford, Hill and Frazier5

Childhood maltreatment

The psychopathological outcomes associated with childhood maltreatment may be mediated by alterations in neural mechanisms underlying emotion processing. Structural magnetic resonance imaging (MRI) and review studies show that childhood maltreatment is associated with grey matter volume (GMV) abnormalities in several stress-susceptible and emotion processing brain regions, including the orbitofrontal cortex, limbic, insula and cerebellum.Reference Teicher, Samson, Anderson and Ohashi2,Reference Lim, Hart, Mehta, Worker, Simmons and Mirza6 Our meta-analysis of structural MRI studies found that childhood maltreatment is associated with GMV reduction in orbitofrontal cortex-limbic-temporal regions that mediate top-down affect control, and with GMV reduction in pre-/postcentral gyri that mediate sensory functions.Reference Lim, Radua and Rubia7 Our recent meta-analysis of structural connectivity in childhood maltreatment underscores the involvement of corticolimbic, frontostriatal and occipital visual pathways in the biopsychological consequences of childhood maltreatment, where diminished structural integrity of these circuitries may hinder normal emotional and sensory functioning and increase vulnerability to psychopathology.Reference Lim, Howells, Radua and Rubia8 At the neurofunctional level, a meta-analysis of functional MRI (fMRI) studies of emotional face processing reported increased cortical and limbic activations, including the amygdala/parahippocampal, insula and superior temporal gyri, among individuals exposed to childhood maltreatment relative to controls.Reference Hein and Monk9 Atypical limbic reactivity to negative emotional faces has been consistently reported across studies in childhood maltreatment. For instance, viewing of threat-related (angry and/or fearful) emotional faces has been associated with amygdala over-reactivityReference Hart, Lim, Mehta, Simmons, Mirza and Rubia3,Reference McCrory, De Brito, Kelly, Bird, Sebastian and Mechelli10 or under-reactivityReference Zhu, Lowen, Anderson, Ohashi, Khan and Teicher11 in maltreated individuals, which has been interpreted as hypervigilance or avoidance to threats, respectively. The childhood maltreatment-related atypical amygdala reactivity to negative emotions has been further proposed to mediate the development of anxiety and depression.Reference Kessler, Schmitt, Sauder, Stein, Yüksel and Grotegerd12

Peer victimisation

Another source of early-life stress is navigating through peer relationships. Although peers may constitute a vital source of social support outside the familial settings, they can also be a significant cause of interpersonal stress. Peer victimisation, which has a prevalence rate of 30% worldwide,13 is characterised by repetitive aggressive behaviour engaged to cause harm to the victim.Reference Olweus14 It includes overt confrontation, ostracism, relational and reputational aggression. Peer victimisation is associated with poor school performance and the development of psychiatric problems, including anxiety, depression and self-harm/suicide.Reference Takizawa, Maughan and Arseneault15

Most fMRI studies in peer victimisation have focused on social exclusion and reported enhanced activation of limbic and cortical regions, including the amygdala, insula, anterior cingulate and medial prefrontal cortex among bullied adolescents and young adults compared with controls.Reference Cubillo16 Notably, fMRI studies involving emotional face processing in this population is relatively limited. Recent studies found that greater amygdala reactivity to angry and fearful faces predicted higher levels of relational victimisation in healthy adolescents,Reference Swartz, Carranza and Knodt17 peer victimisation during mid-adolescence was associated with augmented amygdala response toward fear and angry faces in young adulthood,Reference Zhu, Lowen, Anderson, Ohashi, Khan and Teicher11 and history of victimisation among female adolescents with high relative to low rejection sensitivity is associated with higher amygdala-ventrolateral prefrontal cortex connectivity when viewing emotional faces indicating lower effectiveness of emotional regulation.Reference Rudolph, Skymba, Modi, Davis, Yan Sze and Rosswurm18 Therefore, like childhood maltreatment, peer victimisation may also be associated with atypical limbic reactivity toward negative emotional faces.

Research has shown that atypical emotion processing increases self-harm/suicide risk.Reference Richard-Devantoy, Guillaume, Olié, Courtet and Jollant19 Given that self-harm is often executed as an affect-regulation strategy to ease intense negative emotions,Reference Mason, James, Andrew and Fox20 individuals who experienced childhood interpersonal stress may self-harm to cope with the persistent pain of relational rejections. Furthermore, individuals who had attempted suicide demonstrated specific alterations in the recognition of facial disgust compared with patients with depression and healthy controls, which may impair their ability to interact effectively, thereby intensifying the risk of interpersonal conflict and suicide.Reference Richard-Devantoy, Guillaume, Olié, Courtet and Jollant19

The field has made significant progress in documenting the neurobiological correlates of childhood maltreatment, but research investigating neural alterations in peer victimisation has been comparatively limited. Furthermore, childhood maltreatment and peer victimisation may have unique and/or additive effects on the development of maladaptive cognitive structures and psychological maladjustment. For instance, a retrospective study of young adults found that parental emotional abuse (controlling for peer verbal victimisation) predicted dysfunctional attitudes, but not cognitive style; whereas peer victimisation (controlling for parental abuse) predicted cognitive style, but not dysfunctional attitudes.Reference Gibb, Abramson and Alloy21 A longitudinal study of community youths reported that harsh parenting and peer victimisation, taken together or separately, predicted changes in youths’ negative and positive self-cognitions and depressive symptoms, and harsh parenting exhibited incremental importance over and above peer victimisation on youths’ self-cognitions.Reference Cole, Sinclair-McBride, Zelkowitz, Bilsk, Roeder and Spinelli22 Hence, given that childhood maltreatment and peer victimisation may have differential effects on mental health outcomes, and maltreated children are at increased risk of subsequent bullying by peers possibly via altered neurocognitive functioning,Reference Goemans, Viding and McCrory23 it is imperative that studies examine bullying from peers in the absence of harsh caregiving and vice versa, to elucidate the distinctive neural effect of peer victimisation and childhood maltreatment.

Evidence suggests that childhood maltreatment and peer victimisation are associated with atypical limbic reactivity to emotional faces. However, these two distinct experiences have not been investigated within a single study. Therefore, the present study examined the associations between neurofunctional alterations during processing of dynamic facial expressions and early-life interpersonal stress from caregivers (childhood maltreatment) and peers (peer victimisation) in youths by conducting both region-of-interest (ROI) analysis of key emotion processing regions (amygdala and insula) and whole-brain analysis in community youths free from psychopathology, medication and drug misuse. We hypothesised that both the childhood maltreatment and peer victimisation groups would show greater activation than controls, particularly in the limbic regions, during negative emotion processing, and that the atypical reactivity would be associated with greater self-harm. To examine the specificity of the association with the nature of early-life interpersonal stress, we controlled for the timing and duration of exposure to early-life stress, as well as the number of recent stressors experienced.

Method

Participants

Right-handed youths aged 17–21 years were recruited from the community via advertisement. Exclusion criteria were childhood sexual abuse, drug misuse, current/past psychiatric disorders, psychotropic medications, neurological abnormalities/brain injuries, intellectual disabilities, bullying perpetration and MRI contraindications. We first conducted a thorough pre-screening interview via phone to assess the study eligibility criteria and early-life stressful experiences before the age of 16 years, where potential participants were first asked if they had any of the exclusion characteristics listed, as well as ‘Have you been bullied by peers?’ and ‘Have you experienced harsh treatment/parenting from your caregiver(s)?’. Severity of the early-life stressful experiences were assessed using the Childhood Trauma Questionnaire (CTQ),Reference Bernstein and Fink24 Revised-Peer Experiences Questionnaire (rPEQ)Reference Prinstein, Boergers and Vernberg25 and European Cyberbullying Intervention Project Questionnaire (ECIPQ).Reference Del Rey, Casas, Ortega-Ruiz, Schultze-Krumbholz, Scheithauer and Smith26 Information on the age onset and duration of the early-life stressful experiences were collected with the two questions: ‘How old were you when you first experienced the harsh treatment from the caregiver(s) or peer(s)?’ and ‘For how long did you experience the harsh treatment from the caregiver(s) or peer(s)’. Inclusion criteria for the childhood maltreatment group were non-sexual maltreatment from caregivers scoring above the cut-off for moderate severity on at least one of the CTQ subscales, but did not experience bullying from peers (answering ‘No’ to the bully-experience question above and scoring ‘Never’ or ‘Once or twice’ on all of the rPEQ/ECIPQ items). Inclusion criteria for the peer victimisation group were frequently bullied by peers (answering ‘Yes’ to the bully-experience question above and indicating at least ‘A few times’ on at least one rPEQ/ECIPQ item), but without a history of maltreatment from caregivers (scoring below the cut-offs for none/low severity on all of the CTQ subscales). The control group did not experience maltreatment from caregivers or bullying from peers (meeting the same criteria as above). Interested volunteers meeting the study criteria were invited to participate, whereas those unsuitable were notified and their information was deleted immediately. A total of 117 youths (39 childhood maltreatment, 39 peer victimisation and 39 controls) participated in the study.

All participants and their legal guardians provided written informed consent. The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. All procedures involving human participants were approved by Nanyang Technological University Singapore Institutional Review Board (approval number IRB-2018-01-025) and all MRI scans were reviewed by a neuroradiologist (Supplementary Material available at https://doi.org/10.1192/bjo.2024.767).

Study design and procedure

The study consisted of a face-to-face interview and an MRI session that took place within a 1-week period. During the interview session, all participants completed the following: DSM-5 Level-1 Cross-Cutting Symptom Measure and Kiddie Schedule for Affective Disorders and Schizophrenia Present and Lifetime Version (KSADS-PL) interviews for psychopathology, Strengths and Difficulties Questionnaire (SDQ),Reference Goodman27 Beck Depression Inventory (BDI),Reference Beck, Steer and Carbin28 Beck Anxiety Inventory (BAI)Reference Beck, Epstein, Brown and Steer29 and the Negative and Positive Affect Scale (NAPAS).Reference Mroczek and Kolarz30 The Childhood Experience of Care and Abuse interviewReference Bifulco, Brown and Harris31 was used to corroborate the CTQ. IQ was assessed using the Wechsler Abbreviated Scale of Intelligence.Reference Wechsler32 Socioeconomic status was measured with six items (on parental educational level, housing size and type) from the Family Affluence Scale.Reference Currie, Elton, Todd and Platt33 Self-harming behaviour was assessed with the Self-Harm Inventory (SHI).Reference Sansone, Wiederman and Sansone34 Finally, recent stressful life events (RSLE) was assessed using common stressors adapted from the Life Event Questionnaire for Adolescents,Reference Masten, Neemann and Andenas35 where participants rated the 12-month incidence and distress level of each stressor. A total RSLE score was calculated by summing the number of items that were rated as quite or very stressful. In the present study, the internal consistency of the questionnaires ranged from 0.88 to 0.93.

fMRI paradigm: emotion discrimination task

The fMRI task was adapted from our previous emotion discrimination task.Reference Hart, Lim, Mehta, Simmons, Mirza and Rubia3 In essence, participants were shown 1 s video clips of six actors (three males) displaying disgust, happy, fear, angry or neutral facial expressions. Blocks of stimuli (12 s) of each emotion were interspersed with a fixation baseline condition (6 s). Each emotion was presented in a block of 6 × 1 s stimuli, with each stimulus followed by a 1 s gap. Each emotion block was repeated five times in a pseudo-random order, and neutral was repeated six times. Participants were instructed to identify each clip as positive, negative or neutral.

fMRI data acquisition and analysis

Data acquisition, preprocessing and first-level analysis are described in the Supplementary Material. Data were processed and analysed with SPM12, version 7771 (Statistical Parametric Mapping for Windows; Wellcome Centre for Human Neuroimaging, London, UK; see https://www.fil.ion.ucl.ac.uk/). Participants were removed from further analysis if movement away from the first collected volume exceeded 3 mm of displacement or 3 degrees of rotation in any direction. For second-level analyses, contrast images from the first level were used to conduct full factorial whole-brain analysis comparing activation across the three groups for each negative emotion (disgust, fear, anger), contrasted with happy. Given that individuals with early trauma tend to perceive neutral faces as negative and since the neutral condition did not contain the same amount of facial movement as the emotion conditions, the happy condition is thus a better-matched contrast as it controlled for motion perception.Reference Hart, Lim, Mehta, Simmons, Mirza and Rubia3 The use of happy instead of a neutral condition as a comparative contrast is also a common practice in previous fMRI studies of emotion processing.Reference Hart, Lim, Mehta, Simmons, Mirza and Rubia3,Reference Klumpp, Angstadt and Phan36 RSLE, age onset and duration of early-life stress were included as covariates. Blood oxygenation level dependent (BOLD) responses are reported using a family-wise error rate-corrected cluster threshold of P < 0.05. Additionally, mask(s) of significant cluster(s) in the whole-brain analysis were created in SPM12 and data were extracted with MarsBaR ROI toolbox for SPM12 (http://marsbar.sourceforge.net/) for subsequent exploratory correlational analyses with psychological measures (SHI, BAI, BDI, SDQ) within each group, using Pearson/point-biserial correlations. For the ROI analysis, the Neuromorphometrics atlas within SPM12 was used to create the ROI masks (amygdala, anterior insula, posterior insula; Supplementary Fig. 1), and data were extracted using MarsBaR for group comparisons with analysis of covariance (ANCOVA), controlling for RSLE, age onset and duration of early-life stress. As the ROIs examined were chosen a priori based on the literature, no adjustment for multiple comparisons was made.

Statistical analyses of demographic and performance data

Statistical analyses were carried out with Statistical Package for the Social Sciences (SPSS), version 28 (for Windows; SPSS Inc., Chicago, IL, USA). Demographic and psychological data were analysed with analysis of variance and post hoc t-tests adjusted for multiple comparisons. Chi-squared and Fisher exact tests were used to analyse categorical demographic/psychological variables. Finally, ANCOVA was used to examine group differences in mean reaction time and response accuracy for each emotion, controlling for RSLE, age onset and duration of early-life stress. Post hoc t-tests were conducted pairwise between groups and Bonferroni correction was applied for multiple comparisons.

Results

Participant characteristics

All participants reported no current/past psychiatric disorders, and the information was corroborated with the DSM-5 Cross-Cutting and the KSADS-PL interviews. Two participants from the peer victimisation group and one participant from the control group were excluded because of MRI motion artefacts, leaving a final sample of 114 participants (39 childhood maltreatment, 37 peer victimisation and 38 controls).

Groups did not differ significantly in age, gender, IQ and socioeconomic status. As expected, the childhood maltreatment and peer victimisation groups scored significantly higher than controls on the BDI, BAI, NAPAS negative affect, RSLE, SHI and SDQ emotional and total difficulties scales (P < 0.01), but lower than controls on NAPAS positive affect scale (P < 0.001); nevertheless, their depression and anxiety scores were still within normative range below the cut-offs for moderate severity on the BDI and BAI, respectively. The childhood maltreatment and peer victimisation groups did not differ from each other, except on the SDQ peer problems, where the peer victimisation group had the highest score. The childhood maltreatment group had significantly lower age of onset and longer duration of early-life stress than the peer victimisation group (P < 0.001) (Table 1).

Table 1 Demographic characteristics of 39 youths exposed to childhood maltreatment, 37 youths exposed to peer victimisation and 38 controls

a. Self-harm was determined by an answer of yes on at least one self-harm item on the Self-Harm Inventory.

b. The age range was 17–21 years.

c. The socioeconomic status total score ranges from 6 to 26, with higher values indicating higher status.

d. Tests adjusted for multiple comparisons.

e. The values in parentheses are marginally statistically significant.

f. The Fisher exact test was used.

Task performance

There were no significant group differences on mean reaction times and performance accuracy for each emotion condition (Supplementary Table 1).

Brain activation

Motion

Multivariate analyses of variance showed no significant group differences in maximum translation (Wilks’ Lambda F(6,226) = 0.73, P = 0.63) or maximum rotation (Wilks’ Lambda F(6,226) = 0.92, P = 0.48) parameters.

Group differences for emotion conditions

Within-group activations are shown in Supplementary Fig. 2. Groups differed significantly for the disgust–happy contrast only. The significant group effects were not driven by differences in happy processing, as there were no group differences for the happy contrast relative to fixation or implicit baseline.

For the ROI analysis, there were significant group differences in the right amygdala (F(2,108) = 3.48, P = 0.03) and marginal differences in the bilateral posterior insula (right: F(2,108) = 2.98, P = 0.05; left: (F(2,108) = 2.71, P = 0.07). Relative to controls, both childhood maltreatment and peer victimisation groups had significantly lower activation in the right amygdala (childhood maltreatment: P = 0.01; peer victimisation: P = 0.02) and bilateral posterior insula (childhood maltreatment: left: P = 0.02, right: P = 0.02; peer victimisation: left: P = 0.03, right: P = 0.02); the reduced left insular activation was furthermore related to increased self-harm within the childhood maltreatment group (r pb = −0.23, P = 0.02; Supplementary Fig. 4(b)). There were no significant differences between the childhood maltreatment and peer victimisation groups.

At the whole-brain level, the childhood maltreatment group had significantly lower activation than controls in a cluster comprising predominantly bilateral hippocampus/hippocampal, thalamus, striatum, precuneus/posterior cingulate (PCC), inferior temporal, fusiform/lingual and cerebellar regions extending into the right amygdala, (posterior) insula and middle temporo-occipital regions (cluster 1), which was negatively associated with emotional problems within the control group, albeit at a marginal level (r = −0.29, P = 0.07; Supplementary Fig. 3); a cluster of left temporal and visual occipital regions (cluster 2); and a cluster of sensory processing regions, including the paracentral, pre-/postcentral and supplementary motor area (cluster 3), which was furthermore associated with increased self-harm in maltreated youths (r pb = −0.33, P = 0.04; Supplementary Fig. 4(a)).

The peer victimisation group also exhibited reduced activation in these three clusters relative to controls in the whole-brain analysis. Furthermore, when BOLD responses of the above clusters were extracted for planned comparison with the peer victimisation group by using ANCOVA controlling for RSLE, age onset and duration of early-life stress, the peer victimisation group also exhibited reduced activation in these clusters relative to controls only (Table 2, Fig. 1).

Table 2 Group differences in brain activation

MNI, Montreal Neurological Institute.

a. Family-wise error rate-corrected P-values.

b. Group differences in brain activation were conducted with number of recent stressful life events, age onset and duration of early-life stress exposure as covariates.

Fig. 1 Between-group differences in brain activation of disgust versus happy contrast in childhood maltreatment compared with controls (red), and in peer victimisation compared with controls (green). Axial sections showing decreased activation of disgust versus happy contrast in 39 maltreated young people compared with 38 controls (red) and in 37 bullied young people compared with 38 controls (green) (P < 0.05 family-wise error rate corrected at the cluster level). Axial slices are marked with the z-coordinate as distance in millimetres from the anterior–posterior commissure. The right side of the image corresponds to the right side of the brain.

Discussion

To our knowledge, this is the first fMRI study on emotional processing in childhood maltreatment and peer victimisation that has used a sizable community youth sample free from psychopathology, medications and drug misuse, and controlled for the number of recent stressors and the timing and duration of early-life stress. This is essential to elucidate the effects of early-life stress from the confounding effects associated with current stressors, psychiatric comorbidities, medications and drug use.Reference Lim, Radua and Rubia7

There were no significant group differences in task performance, and groups differed in brain activation during disgust processing only. For the ROI analysis, both childhood maltreatment and peer victimisation groups had lower activation in the right amygdala and bilateral posterior insula than controls, with reduced left insular activation furthermore being related to increased self-harm in maltreated individuals. Compared with controls, at the whole-brain level, both childhood maltreatment and peer victimisation groups had lower activation in a cluster of predominantly bilateral limbic-thalamic-striatal, precuneus/PCC and fusiform/lingual regions, which was negatively associated with emotional problems in controls, as well as a cluster of somatosensory regions that was associated with increased self-harm in maltreated individuals. The reduced activation of key emotion and sensory processing regions during disgust processing may possibly serve as an avoidance coping mechanism to protect youths who experience early-life stress from distressing emotional responses by blocking the processing of aversive disgust facial expressions, thereby enabling them to achieve equivalent performance with their counterparts who do not experience early-life stress. However, this may increase their vulnerability for affective psychopathology later in life.

Most earlier studies have focused primarily on negative emotions of fear and anger, whereas disgust has been the most understudied of all emotions.Reference McNally37 Nonetheless, there is a growing recognition of the role of disgust as a central emotion in trauma-related disorders, and that it can lead to self-disgust.Reference Knowles, Cox, Armstrong and Olatunji38 Disgust is a basic emotion and represents an evolutionary adaptive defensive-avoidance response.Reference McNally37 Disgust facial expressions signal interpersonal rejection and have been linked to feelings of self-disgust and debasement,Reference Giner-Sorolla and Espinosa39 which is a potential mechanism underlying the association between childhood maltreatment and self-harm/suicide risk.Reference Mason, James, Andrew and Fox20

Recent event-related potential findings reported that childhood maltreatment is associated with an automatic early vigilance and a subsequent attentional avoidance of disgust faces in healthy young adults, where attentional avoidance may be a coping strategy adopted by the maltreated individuals to downregulate their experience of disgust and avoid conflicts.Reference Hoepfel, Günther, Bujanow, Kersting, Bodenschatz and Suslow40 Therefore, childhood interpersonal trauma such as childhood maltreatment and peer victimisation, which often involve repeated exposure to facial disgust in others signalling rejection, may affect the victim's processing of disgust and further heighten their vulnerability to affective psychopathology, possibly via feelings of (self-) disgust.

Besides its critical role in interoceptive processes, the insula is also relevant in the processing of negative emotions including disgust and fear,Reference Gogolla41 which are frequently experienced in childhood interpersonal trauma. Although the anterior part is usually implicated, mounting research also suggests the involvement of the posterior insula in aversive emotion and sensory processing.Reference Gehrlach, Dolensek, Klein, Roy Chowdhury, Matthys and Junghänel42 The posterior insula, which has strong projections to the amygdala and is a major cortical convergence site that integrates signals from within and outside the body, has also been implicated as a neuroanatomical hub underlying various psychiatric conditions.Reference Goodkind, Eickhoff, Oathes, Jiang, Chang and Jones-Hagata43

Aberrant amygdala and insula activations have been found to mediate atypical emotion processing of fear and anger in childhood maltreatmentReference Hart, Lim, Mehta, Simmons, Mirza and Rubia3,Reference McCrory, De Brito, Kelly, Bird, Sebastian and Mechelli10 and peer victimisation.Reference Swartz, Carranza and Knodt17 Recent large-scale transdiagnostic studies also implicated the role of insula in childhood emotional trauma.Reference Popovic, Ruef, Dwyer, Antonucci, Eder and Sanfelici44 In addition, a recent meta-analysis found that youths with self-injurious behaviours exhibited insula functional alterations, which may underlie their core symptoms of altered emotion processing and regulation.Reference Lai, Jiang, Xu, Luo, Hao and Li45 Thus, the current findings of atypical limbic activation during disgust processing extends earlier findings of altered threat processing in childhood trauma, and underscores the importance of examining disgust processing in early-life interpersonal stress and self-harm. Furthermore, given that individuals with a history of self-injurious behaviours and suicide have higher pain tolerance than controls,Reference Kirtley, O'Carroll and O'Connor46 the reduced activation of the limbic and somatosensory regions, which are also part of the pain modulatory brain networks,Reference Lalouni, Fust, Bjureberg, Kastrati, Fondberg and Fransson47 may potentially modulate pain perceptions and increase self-harm/suicide risk by lowering pain sensitivity in maltreated youths.

Converging evidence underscores the link between childhood trauma and atypical development of the visual sensory systems that convey adverse experiences. For instance, morphometric studies reported reduced lingual GMVReference Lim, Hart, Mehta, Worker, Simmons and Mirza6 and reduced fractional anisotropy of the inferior longitudinal fasciculus and inferior frontal-occipital fasciculus in childhood maltreatment, where the reduced fractional anisotropy values were associated with greater severity and longer duration of abuse.Reference Lim, Hart, Howells, Mehta, Simmons and Mirza48 A recent meta-analysis further suggests that disruption in these visual-emotional processing tracts may underpin the emotional problems commonly observed in childhood trauma.Reference Lim, Howells, Radua and Rubia8 Reduced somatosensory GMV in childhood maltreatment has also been reported in a meta-analysis of structural MRI studies of childhood maltreatmentReference Lim, Radua and Rubia7 and in recent large-scale transdiagnostic studies.Reference Begemann, Schutte, van Dellen, Abramovic, Boks and van Haren49 Thus, the current findings of reduced activation of the visual and somatosensory regions in youths who experience early-life stress, together with structural abnormalities in these regions reported in earlier studies, suggest that the visual sensory systems may be altered by early-life stress exposure.

The PCC and precuneus form part of the default mode network and are involved in self-referential processing and mental representation, with increased activations being associated with distraction from task performance.Reference Davey, Pujol and Harrison50 It has been purported that the PCC mediates experiences of identifying with attributes of ourselves.Reference Brewer, Garrison and Whitfield-Gabrieli51 Hence, the observed reduced activation of the PCC/precuneus by our early-life stress groups may suggest an attempt to inhibit self-related thinking of highly relevant emotions that are potentially associated with oneself, such as disgust, to stay focused on the current task. PCC/precuneus are also key areas of visuospatial attentionReference Cavanna and Trimble52 and a reduced activation could be attributable to reduced attention or suppression of attention to negative emotional stimuli. In line with this, a recent study found that chronically bullied youths exhibited lower precuneus activation than controls in response to viewing cyberbullying stimuli, thereby signalling habituation to the aversive stimuli.Reference McLoughlin, Shan, Mohamed, Boyes, Driver and Lagopoulos53 Thus, the reduced precuneus activation observed in our early-life stress groups may also reflect their habituation to facial disgust.

Both childhood maltreatment and peer victimisation groups achieved comparable task performance as controls, but with a shared under-recruitment of task-relevant brain regions during disgust processing; hence, differences in the activated regions cannot be attributed to performance effects. Moreover, we note that our childhood maltreatment and peer victimisation youths represent high-functioning community youths with comparable IQ and socioeconomic status to the controls. Thus, the atypical brain activation patterns and lack of performance deficits in childhood maltreatment and peer victimisation groups may suggest that the two early-life stress groups employed an adaptive or compensatory neural strategy to achieve comparable task performance.

The shared atypical activation patterns observed in both early-life stress groups, who also had comparable psychological and socioeconomic status scores, underscore the detrimental effects of peer victimisation and suggest that negative peer relationships may be as harmful as abusive caregiving. More research attention on the neural correlates of peer victimisation is warranted. Furthermore, it is intriguing to note that reduced activation of key emotion and sensory processing regions was associated with increased self-harm in maltreated individuals only. It has been postulated that feelings of self-disgust and debasement, which have been linked to disgust facial expressions,Reference Giner-Sorolla and Espinosa39 may be a potential mechanism underlying increased self-harm/suicide risk in childhood maltreatment.Reference Mason, James, Andrew and Fox20 Although we did not directly test for self-disgust and debasement in the current study, a similar mechanism might be at work. Given that harsh parenting exhibited incremental importance over and above peer victimisation on youths’ self-cognition,Reference Cole, Sinclair-McBride, Zelkowitz, Bilsk, Roeder and Spinelli22 we propose that, for our childhood maltreatment group, growing up with constant exposure to disgust expressions from caregivers might have detrimentally affected their internal self-schemas, leading to feelings of worthlessness and perceived burdensome, and thereby increasing their vulnerability for self-harm/suicide. Indeed, research has shown that children internalise expectations from parents in their construction of self-concept, and chronic negative parental feedbacks and rejection are linked to internalising symptoms.Reference McLeod, Wood and Weisz54 Thus, we postulate that prolonged exposure to disgust faces, which essentially signal rejection, especially from parents from whom a child typically derives a sense of self-worth during early critical developmental stages, may result in the eventual internalisation of a repulsive self-concept. An inward disgust response to one's self-identity may thus potentiate feelings of perceived burdensome and thwarted belongingness, which further heightens self-harm/suicide risk.

Finally, we did not observe atypical activation during anger and fear possessing, possibly because of our more resilient community-based sample compared with earlier studies. The maltreated and bullied youths in our sample are healthy and high-functioning individuals with similar IQ and socioeconomic status as controls, and have depressive and anxiety scores within normative ranges, albeit higher than controls. Therefore, instead of viewing adverse early experiences as factors leading to general developmental deficits per se, the current findings of reduced recruitment of key emotion and sensory processing regions may reflect the brain's attempt to cope by blocking the processing of aversive stimuli and functionally adapt to growing up in hostile environments in ways that promote survival. Nonetheless, we appreciate that prolonged neural overmodulation during disgust processing, despite meeting the immediate contextual demands, may have negative long-term consequences such as hindering the development of appropriate emotion regulation skills, potentially paving the way to affective disorders and self-injurious behaviours.

This study is not without its limitations. First, it is cross-sectional and the findings are still correlational. Second, the use of retrospective self-report data may be subject to recall biases. Third, the results may not be generalisable to the childhood sexual abuse population. Nevertheless, strengths of this study are that all participants were free from psychopathology, medications and drug misuse; their current stressors were assessed and controlled for; the early adverse experiences were carefully substantiated by semi-structured interviews and we used dynamic stimuli that are more realistic representation of real-life emotional expressions. The slight discrepancy in the ROI and whole-brain findings could be because the ROIs were examined without correction for multiple comparisons, whereas the whole-brain analysis was performed using rigid statistics (family-wise error rate correction). Nonetheless, our whole-brain results reinforced the ROI findings of atypical limbic activation in our early-life stress groups, particularly in the right amygdala and posterior insula. Finally, although the generalisability of the results may be restricted to the ‘more resilient’ portion of community youths without any psychiatric disorders, the current findings underscore that individuals exposed to early-life stress do show neural alterations compared with their unexposed counterparts, even in the absence of reported psychopathology.

Supplementary material

Supplementary material is available online at https://doi.org/10.1192/bjo.2024.767

Data availability

The data that support the findings of this study are available from the corresponding author, L.L., upon reasonable request.

Acknowledgements

The authors are grateful to all the individuals and their families who participated in this study.

Author contributions

L.L. designed the study and collected and analysed the data. L.L. and S.L. wrote the manuscript. All authors contributed to manuscript revisions.

Funding

This study was supported by LKCMedicine-NTU Fellowship Grant and A*STAR (SICS EPI grant and SST grant number C221618002). K.R. was supported by the Efficacy and Mechanism Evaluation (EME) programme, a Medical Research Council (MRC) and National Institute for Health Research (NIHR) partnership (project reference: NIHR130077) and by a NIHR programme grant (grant number NIHR203684), as well as by the NIHR and the UK Department of Health via the NIHR Biomedical Research Centre (BRC) for Mental Health at South London and the Maudsley NHS Foundation Trust and Institute of Psychiatry, Psychology and Neuroscience, King's College London. The design, management, analysis and reporting of the study are independent from the funders.

Declaration of interest

L.L. and S.L. report no financial interests or potential conflict of interest. K.R. has received a grant from TAKEDA for another project, and consulting fees from SUPERNUS, which was used for research.

References

World Health Organization (WHO). Violence Info: Child Maltreatment. WHO, 2017 (https://apps.who.int/violence-info/child-maltreatment/).Google Scholar
Teicher, MH, Samson, JA, Anderson, CM, Ohashi, K. The effects of childhood maltreatment on brain structure, function and connectivity. Nat Rev Neurosci 2016; 17(10): 652–66.CrossRefGoogle ScholarPubMed
Hart, H, Lim, L, Mehta, MA, Simmons, A, Mirza, KAH, Rubia, K. Altered fear processing in adolescents with a history of severe childhood maltreatment: an fMRI study. Psychol Med 2018; 48(7): 1092–101.CrossRefGoogle ScholarPubMed
Serafini, G, Canepa, G, Adavastro, G, Nebbia, J, Belvederi Murri, M, Erbuto, D, et al. The relationship between childhood maltreatment and non-suicidal self-injury: a systematic review. Front Psychiatry 2017; 8: 149.CrossRefGoogle ScholarPubMed
Dvir, Y, Ford, JD, Hill, M, Frazier, JA. Childhood maltreatment, emotional dysregulation and psychiatric comorbidities. Harv Rev Psychiatry 2014; 22(3): 149–61.CrossRefGoogle ScholarPubMed
Lim, L, Hart, H, Mehta, M, Worker, A, Simmons, A, Mirza, K, et al. Grey matter volume and thickness abnormalities in young people with a history of childhood abuse. Psychol Med 2018; 48(6): 1034–46.CrossRefGoogle ScholarPubMed
Lim, L, Radua, J, Rubia, K. Grey matter abnormalities in childhood maltreatment: a voxel-wise meta-analysis. Am J Psychiatry 2014; 171: 854–63.CrossRefGoogle ScholarPubMed
Lim, L, Howells, H, Radua, J, Rubia, K. Aberrant structural connectivity in childhood maltreatment: a meta-analysis. Neurosci Biobehav Rev 2020; 116: 406–14.CrossRefGoogle ScholarPubMed
Hein, TC, Monk, CS. Research review: neural response to threat in children, adolescents and adults after child maltreatment – a quantitative meta-analysis. J Child Psychol Psychiatry 2017; 58(3): 222–30.CrossRefGoogle ScholarPubMed
McCrory, EJ, De Brito, SA, Kelly, PA, Bird, G, Sebastian, CL, Mechelli, A, et al. Amygdala activation in maltreated children during pre-attentive emotional processing. Br J Psychiatry 2013; 202(4): 269–76.CrossRefGoogle ScholarPubMed
Zhu, J, Lowen, SB, Anderson, CM, Ohashi, K, Khan, A, Teicher, MH. Association of prepubertal and postpubertal exposure to childhood maltreatment with adult amygdala function. JAMA Psychiatry 2019; 76(8): 843–53.CrossRefGoogle ScholarPubMed
Kessler, R, Schmitt, S, Sauder, T, Stein, F, Yüksel, D, Grotegerd, D, et al. Long-term neuroanatomical consequences of childhood maltreatment: reduced amygdala inhibition by medial prefrontal cortex. Front Syst Neurosci 2020; 14: 28.CrossRefGoogle ScholarPubMed
Olweus, D. Bullying at School: What we Know and What we can do. Blackwell Publishing, 1993.Google Scholar
Takizawa, R, Maughan, B, Arseneault, L. Adult health outcomes of childhood bullying victimisation: evidence from a five-decade longitudinal British birth cohort. Am J Psychiatry 2014; 171(7): 777–84.CrossRefGoogle Scholar
Cubillo, A. Neurobiological correlates of the social and emotional impact of peer victimisation: a review. Front Psychiatry 2022; 13: 866926.CrossRefGoogle Scholar
Swartz, JR, Carranza, AF, Knodt, AR. Amygdala activity to angry and fearful faces relates to bullying and victimisation in adolescents. Social Cogn Affect Neurosci 2019; 14(10): 1027–35.CrossRefGoogle Scholar
Rudolph, KD, Skymba, HV, Modi, HH, Davis, MM, Yan Sze, W, Rosswurm, CP, et al. How does peer adversity ‘get inside the brain?’ Adolescent girls' differential susceptibility to neural dysregulation of emotion following victimisation. Dev Psychobiol 2021; 63(3): 481–95.CrossRefGoogle Scholar
Richard-Devantoy, S, Guillaume, S, Olié, E, Courtet, P, Jollant, F. Altered explicit recognition of facial disgust associated with predisposition to suicidal behaviour but not depression. J Affect Disord 2013; 150(2): 590–3.CrossRefGoogle Scholar
Mason, D, James, D, Andrew, L, Fox, JRE. 'The last thing you feel is the self-disgust’. The role of self-directed disgust in men who have attempted suicide: a grounded theory study. Psychol Psychother 2022; 95(2): 575–99.CrossRefGoogle ScholarPubMed
Gibb, BE, Abramson, LY, Alloy, LB. Emotional maltreatment from parents, verbal peer victimisation and cognitive vulnerability to depression. Cognit Ther Res 2004; 28(1): 121.CrossRefGoogle Scholar
Cole, DA, Sinclair-McBride, KR, Zelkowitz, R, Bilsk, SA, Roeder, K, Spinelli, T. Peer victimisation and harsh parenting predict cognitive diatheses for depression in children and adolescents. J Clin Child Adolesc Psychol 2016; 45(5): 668–80.CrossRefGoogle Scholar
Goemans, A, Viding, E, McCrory, E. Child maltreatment, peer victimisation, and mental health: neurocognitive perspectives on the cycle of victimisation. Trauma Violence Abuse 2023; 24(2): 530–48.CrossRefGoogle Scholar
Bernstein, DP, Fink, L. Childhood Trauma Questionnaire: A Retrospective Self-Report Manual. The Psychological Corporation, 1998.Google Scholar
Prinstein, MJ, Boergers, J, Vernberg, EM. Overt and relational aggression in adolescents: social-psychological adjustment of aggressors and victims. J Clin Child Adol Psychol 2001; 30(4): 479–91.CrossRefGoogle ScholarPubMed
Del Rey, R, Casas, JA, Ortega-Ruiz, R, Schultze-Krumbholz, A, Scheithauer, H, Smith, P, et al. Structural validation and cross-cultural robustness of the European cyberbullying intervention project questionnaire. Comput Human Behav 2015; 50: 141–7.CrossRefGoogle Scholar
Goodman, R. The strengths and difficulties questionnaire: a research note. J Child Psychol Psychiatry 1997; 38(5): 581–6.CrossRefGoogle ScholarPubMed
Beck, AT, Steer, RA, Carbin, MG. Psychometric properties of the Beck depression inventory: twenty-five years of evaluation. Clin Psychol Rev 1988; 8(1): 77100.CrossRefGoogle Scholar
Beck, AT, Epstein, N, Brown, G, Steer, RA. An inventory for measuring clinical anxiety: psychometric properties. J Consult Clin Psychol 1988; 56(6): 893–7.CrossRefGoogle ScholarPubMed
Mroczek, DK, Kolarz, CM. The effect of age on positive and negative affect: a developmental perspective on happiness. J Pers Soc Psychol 1998; 75(5): 1333–49.CrossRefGoogle ScholarPubMed
Bifulco, A, Brown, GW, Harris, TO. Childhood experience of care and abuse (CECA): a retrospective interview measure. J Child Psychol Psychiatry 1994; 35(8): 1419–35.CrossRefGoogle ScholarPubMed
Wechsler, D. Wechsler Abbreviated Scale of Intelligence. The Psychological Corporation, 1999.Google Scholar
Currie, CE, Elton, RA, Todd, J, Platt, S. Indicators of socioeconomic status for adolescents: the WHO health behaviour in school-aged children survey. Health Educ Res 1997; 12(3): 385–97.CrossRefGoogle ScholarPubMed
Sansone, RA, Wiederman, MW, Sansone, LA. The self-harm inventory (SHI): development of a scale for identifying self-destructive behaviours and borderline personality disorder. J Clin Psychol 1998; 54(7): 973–83.3.0.CO;2-H>CrossRefGoogle ScholarPubMed
Masten, AS, Neemann, J, Andenas, S. Life events and adjustment in adolescents: the significance of event independence, desirability and chronicity. J Res Adolesc 1994; 4(1): 7197.CrossRefGoogle Scholar
Klumpp, H, Angstadt, M, Phan, KL. Insula reactivity and connectivity to anterior cingulate cortex when processing threat in generalised social anxiety disorder. Biol Psychol 2012; 89(1): 273–6.CrossRefGoogle Scholar
McNally, RJ. Disgust has arrived. J Anxiety Disord 2002; 16(5): 561–6.CrossRefGoogle ScholarPubMed
Knowles, KA, Cox, RC, Armstrong, T, Olatunji, BO. Cognitive mechanisms of disgust in the development and maintenance of psychopathology: a qualitative review and synthesis. Clin Psychol Rev 2019; 69: 3050.CrossRefGoogle ScholarPubMed
Giner-Sorolla, R, Espinosa, P. Social cuing of guilt by anger and of shame by disgust. Psychol Sci 2011; 22(1): 4953.CrossRefGoogle ScholarPubMed
Hoepfel, D, Günther, V, Bujanow, A, Kersting, A, Bodenschatz, CM, Suslow, T. Experiences of maltreatment in childhood and attention to facial emotions in healthy young women. Sci Rep 2022; 12(1): 4317.CrossRefGoogle ScholarPubMed
Gogolla, N. The insular cortex. Curr Biol 2017; 27(12): R580–R6.CrossRefGoogle ScholarPubMed
Gehrlach, DA, Dolensek, N, Klein, AS, Roy Chowdhury, R, Matthys, A, Junghänel, M, et al. Aversive state processing in the posterior insular cortex. Nat Neurosci 2019; 22(9): 1424–37.CrossRefGoogle ScholarPubMed
Goodkind, M, Eickhoff, SB, Oathes, DJ, Jiang, Y, Chang, A, Jones-Hagata, LB, et al. Identification of a common neurobiological substrate for mental illness. JAMA Psychiatry 2015; 72(4): 305–15.CrossRefGoogle ScholarPubMed
Popovic, D, Ruef, A, Dwyer, DB, Antonucci, LA, Eder, J, Sanfelici, R, et al. Traces of trauma: a multivariate pattern analysis of childhood trauma, brain structure and clinical phenotypes. Biol Psychiatry 2020; 88(11): 829–42.CrossRefGoogle ScholarPubMed
Lai, M, Jiang, P, Xu, J, Luo, D, Hao, X, Li, J. Abnormal brain activity in nonsuicidal self-injury: a coordinate-based activation likelihood meta-analysis of functional neuroimaging studies. Psychoradiology 2021; 1(4): 249–56.CrossRefGoogle ScholarPubMed
Kirtley, OJ, O'Carroll, RE, O'Connor, RC. Pain and self-harm: a systematic review. J Affect Disord 2016; 203: 347–63.CrossRefGoogle ScholarPubMed
Lalouni, M, Fust, J, Bjureberg, J, Kastrati, G, Fondberg, R, Fransson, P, et al. Augmented pain inhibition and higher integration of pain modulatory brain networks in women with self-injury behaviour. Mol Psychiatry 2022; 27(8): 3452–9.CrossRefGoogle Scholar
Lim, L, Hart, H, Howells, H, Mehta, MA, Simmons, A, Mirza, K, et al. Altered white matter connectivity in young people exposed to childhood abuse: a tract-based spatial statistics (TBSS) and tractography study. J Psychiatry Neurosci 2019; 44(3): 110.CrossRefGoogle ScholarPubMed
Begemann, MJH, Schutte, MJL, van Dellen, E, Abramovic, L, Boks, MP, van Haren, NEM, et al. Childhood trauma is associated with reduced frontal grey matter volume: a large transdiagnostic structural MRI study. Psychol Med 2023; 53(3): 741–9.CrossRefGoogle ScholarPubMed
Davey, CG, Pujol, J, Harrison, BJ. Mapping the self in the brain's default mode network. NeuroImage 2016; 132: 390–7.CrossRefGoogle ScholarPubMed
Brewer, JA, Garrison, KA, Whitfield-Gabrieli, S. What about the ‘self’ is processed in the posterior cingulate cortex? Front Hum Neurosci 2013; 7: 647.CrossRefGoogle ScholarPubMed
Cavanna, AE, Trimble, MR. The precuneus: a review of its functional anatomy and behavioural correlates. Brain 2006; 129(Pt 3): 564–83.CrossRefGoogle ScholarPubMed
McLoughlin, LT, Shan, Z, Mohamed, A, Boyes, A, Driver, C, Lagopoulos, J, et al. Gender differences in brain activity when exposed to cyberbullying: associations between wellbeing and cyberbullying experience using functional magnetic resonance imaging. Curr Res Neurobiol 2022; 3: 100054.CrossRefGoogle ScholarPubMed
McLeod, BD, Wood, JJ, Weisz, JR. Examining the association between parenting and childhood anxiety: a meta-analysis. Clin Psychol Rev 2007; 27(2): 155–72.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Demographic characteristics of 39 youths exposed to childhood maltreatment, 37 youths exposed to peer victimisation and 38 controls

Figure 1

Table 2 Group differences in brain activation

Figure 2

Fig. 1 Between-group differences in brain activation of disgust versus happy contrast in childhood maltreatment compared with controls (red), and in peer victimisation compared with controls (green). Axial sections showing decreased activation of disgust versus happy contrast in 39 maltreated young people compared with 38 controls (red) and in 37 bullied young people compared with 38 controls (green) (P < 0.05 family-wise error rate corrected at the cluster level). Axial slices are marked with the z-coordinate as distance in millimetres from the anterior–posterior commissure. The right side of the image corresponds to the right side of the brain.

Supplementary material: File

Lim et al. supplementary material

Lim et al. supplementary material
Download Lim et al. supplementary material(File)
File 1.1 MB
Submit a response

eLetters

No eLetters have been published for this article.