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Interpersonal violence moderates sustained-transient threat co-activation in the vmPFC and amygdala in a community sample of youth

Published online by Cambridge University Press:  26 November 2024

Nadia Bounoua*
Affiliation:
Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
Jane E. Joseph
Affiliation:
Department of Neuroscience, Medical University of South Carolina, Charleston, SC, USA
Zachary W. Adams
Affiliation:
Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
Kathleen I. Crum
Affiliation:
Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
Christopher T. Sege
Affiliation:
Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
Lisa M. McTeague
Affiliation:
Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
Greg Hajcak
Affiliation:
Department of Psychology, Florida State University, Tallahassee, FL, USA
Colleen A. Halliday
Affiliation:
Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
Carla Kmett Danielson
Affiliation:
Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
*
Corresponding author: Nadia Bounoua; Email: [email protected]
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Abstract

The increased risk for psychopathology associated with interpersonal violence exposure (IPV, e.g., physical abuse, sexual assault) is partially mediated by neurobiological alterations in threat-related processes. Evidence supports parsing neural circuitry related to transient and sustained threat, as they appear to be separable processes with distinct neurobiological underpinnings. Although childhood is a sensitive period for neurodevelopment, most prior work has been conducted in adult samples. Further, it is unknown how IPV exposure may impact transient-sustained threat neural interactions. The current study tested the moderating role of IPV exposure on sustained vmPFC-transient amygdala co-activation during an fMRI task during which threat and neutral cues were predictably or unpredictably presented. Analyses were conducted in a sample of 212 community-recruited youth (M/SDage = 11.77/2.44 years old; 51.9% male; 56.1% White/Caucasian). IPV-exposed youth evidenced a positive sustained vmPFC-transient amygdala co-activation, while youth with no IPV exposure did not show this association. Consistent with theoretical models, effects were specific to unpredictable, negative trials and to exposure to IPV (i.e., unrelated to non-IPV traumatic experiences). Although preliminary, these findings provide novel insight into how childhood IPV exposure may alter neural circuity involved in specific facets of threat processing.

Type
Regular Article
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 (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press

Introduction

Exposure to adverse childhood experiences is a potent predictor of a myriad of poor outcomes, including a range of psychopathologies and trauma-related problems (Adams et al., Reference Adams, Moreland, Cohen, Lee, Hanson, Danielson and Briggs2016; De Bellis, Reference De Bellis2001; Green et al., Reference Green, McLaughlin, Berglund, Gruber, Sampson, Zaslavsky and Kessler2010; Kessler et al., Reference Kessler, McLaughlin, Green, Gruber, Sampson, Zaslavsky and Williams2010; Molnar et al, Reference Molnar, Buka and Kessler2001). Alterations to neural circuitry, particularly in neural circuits involved in negative emotional processes (e.g., threat processing), have been put forth as a key mechanism of psychopathology risk transmission among maltreated individuals (McEwen, Reference McEwen2007; McLaughlin & Lambert, Reference McLaughlin and Lambert2017; Teicher et al., Reference Teicher, Andersen, Polcari, Anderson, Navalta and Kim2003). Specifically, accumulating evidence posits that links between the ventromedial prefrontal cortex (vmPFC) and amygdala, both of which are heavily involved in emotion regulation and threat detection processes, may be disturbed following childhood maltreatment (e.g., Dillon et al., Reference Dillon, Rosso, Pechtel, Killgore, Rauch and Pizzagalli2014; Peverill et al., Reference Peverill, Sheridan, Busso and McLaughlin2019). Further, it is posited that this neural circuit may be particularly sensitive to experiences characterized by a high degree of threat, such as interpersonal violence (IPV) (McLaughlin & Lambert, Reference McLaughlin and Lambert2017). In the adult literature, recent work supports the need to disentangle the neural circuits involved in acute (e.g., fear) versus sustained (e.g., anxiety) threat processing to better elucidate how these systems interact to process threatening stimuli (Somerville et al., Reference Somerville, Wagner, Wig, Moran, Whalen and Kelley2013). However, it remains unknown how threatening experiences in childhood influence vmPFC-amygdala activation patterns in relation to distinct facets of threat processing. The objective of this study is to address this gap in a large community sample of children and adolescents who completed a mixed-block design fMRI task that allowed for the simultaneous specification of both transient and sustained threat.

Ventromedial prefrontal cortex & amygdala: links with threat processing

Based on extant meta-analytic work, the vmPFC and the amygdala have been consistently linked to threat processing (Colich et al., Reference Colich, Rosen, Williams and McLaughlin2020; Webler et al., Reference Webler, Berg, Fhong, Tuominen, Holt, Morey and Lissek2021). Contemporary research has shown that the amygdala is involved in the learning and detection of relevant and emotionally salient environmental stimuli to inform physiological and behavioral responses (Hariri, Reference Hariri2009; Ledoux, Reference Ledoux2000; Lindquist et al., Reference Lindquist, Wager, Kober, Bliss-Moreau and Barrett2012). The vmPFC has been implicated in an array of emotional processing functions, including the regulation of emotional responses through projections to and from the amygdala (e.g., Dixon et al., Reference Dixon, Thiruchselvam, Todd and Christoff2017). As a circuit, it is posited that there are inhibitory bidirectional effects between vmPFC and amygdala activation, leading to an inverse relationship between activation levels in these regions during emotion regulation, broadly defined (Dixon et al., Reference Dixon, Thiruchselvam, Todd and Christoff2017; Ghashghaei et al., Reference Ghashghaei, Hilgetag and Barbas2007; Ochsner et al., Reference Ochsner, Ray, Cooper, Robertson, Chopra, Gabrieli and Gross2004; Urry et al., Reference Urry, Van Reekum, Johnstone, Kalin, Thurow, Schaefer and Davidson2006). This inverse vmPFC-amygdala coupling is also present during threat detection, learned fear extinction, and fear generalization (Etkin et al., Reference Etkin, Egner, Peraza, Kandel and Hirsch2006; Greenberg et al., Reference Greenberg, Carlson, Cha, Hajcak and Mujica-Parodi2013a; Milad & Quirk, Reference Milad and Quirk2002; Morris & Dolan, Reference Morris and Dolan2004; Phelps et al., Reference Phelps, Delgado, Nearing and LeDoux2004). Further, research has shown this downregulation of amygdala by vmPFC has been linked to adaptive diurnal cortisol patterns, indicative of better general well-being (Urry et al., Reference Urry, Van Reekum, Johnstone, Kalin, Thurow, Schaefer and Davidson2006). Along those same lines, altered amygdala-vmPFC connectivity is commonly linked to psychopathology across the life span, including anxiety disorders and posttraumatic stress disorder (Cisler et al., Reference Cisler, James, Tripathi, Mletzko, Heim, Hu and Kilts2013; Etkin & Wager, Reference Etkin and Wager2007; Gold et al., Reference Gold, Shechner, Farber, Spiro, Leibenluft, Pine and Britton2016; Greenberg et al., Reference Greenberg, Carlson, Cha, Hajcak and Mujica-Parodi2013b; Koenigs & Grafman, Reference Koenigs and Grafman2009; Pagliaccio et al., Reference Pagliaccio, Luby, Bogdan, Agrawal, Gaffrey, Belden and Barch2015).

Parsing acute and sustained threat processing

To date, the majority of literature has applied a broad conceptualization of “threat processing,” potentially obfuscating neural circuits involved in distinct threat-related processes. Research is needed that disentangles acute and sustained threat. Such an approach is consistent with the National Institute of Mental Health Research (NIMH) Domain Criteria (RDoC; Insel et al., Reference Insel, Cuthbert, Garvey, Heinssen, Pine, Quinn, Sanislow and Wang2010). Research shows that acute threat processing (e.g., fear) systems mediate momentary reactions to threat stimuli (or threat-predicting stimuli), whereas sustained threat systems (e.g., anxiety) mediate longer-lasting reactions when threat is more chronic (be it actually present or merely threatened) (Insel et al., Reference Insel, Cuthbert, Garvey, Heinssen, Pine, Quinn, Sanislow and Wang2010). Importantly, sustained threat activation can be differentiated from those changes evoked by transient threat. In a study of 55 psychologically healthy adults with the same task utilized here, Somerville and colleagues (2013) found support for dissociable neural circuits associated with these two dimensions of threat responding, such that amygdala showed transient response to negative stimuli (i.e., fear), while regions of the vmPFC were observed in relation to sustained threatening stimuli. Furthermore, authors found significant interactions between threat dimensions such that sustained vmPFC activation was negatively correlated with transient amygdala activation (Somerville et al., Reference Somerville, Wagner, Wig, Moran, Whalen and Kelley2013). This inverse activation pattern is consistent with the hypothesized top-down regulatory control of the vmPFC on acute fear responding in the amygdala.

Interpersonal violence as a moderating environmental factor

Previous work has shown that the vmPFC-amygdala circuit is highly sensitive to the effects of stress, particularly during the transition into adolescence (Pechtel and Pizzagalli, Reference Pechtel and Pizzagalli2011). This neurodevelopmental period is marked by a high degree of neuroplasticity, especially in neural circuits involved in emotion-related processes (Tottenham & Galván, Reference Tottenham and Galván2016). Emerging work highlights that different forms of childhood adversity exert distinct neurobiological disruptions, particularly in threat-related systems (McLaughlin & Lambert, Reference McLaughlin and Lambert2017; McLaughlin & Sheridan, Reference McLaughlin and Sheridan2016). Interpersonal trauma exposure (i.e., violence, physical abuse, sexual assault, neglect), as opposed to other non-interpersonal forms of trauma exposure (e.g., natural disasters, car accidents, serious illness) has been uniquely linked to threat-related neural alterations, such as exaggerated neural responses to threatening stimuli (McCrory et al., Reference McCrory, De Brito, Kelly, Bird, Sebastian, Mechelli and Viding2013; McLaughlin et al., Reference McLaughlin, Peverill, Gold, Alves and Sheridan2015). Importantly, these alterations reflect initially adaptive modifications in the context of threatening environments (McLaughlin & Lambert, Reference McLaughlin and Lambert2017). More specifically, children exposed to repeated threatening events may develop enhanced threat detection processes that facilitate quick responses to danger and mobilize safety behaviors (McEwen & Gianaros, Reference McEwen and Gianaros2011). Over time, however, IPV-related experiences have been linked to chronic activation of stress response systems (Doom & Gunnar, Reference Doom and Gunnar2013; Heim et al., Reference Heim, Newport, Mletzko, Miller and Nemeroff2008), which may lead to greater amygdala hyperactivity to threat (McCrory et al., Reference McCrory, De Brito, Kelly, Bird, Sebastian, Mechelli and Viding2013; McLaughlin et al., Reference McLaughlin, Peverill, Gold, Alves and Sheridan2015). Therefore, IPV may be a form of child adversity that has particular influence on the vmPFC-amygdala circuit.

Neuroimaging studies have sought to clarify how exposure to childhood adversity impacts the vmPFC-amygdala circuit. At a neuroanatomical level, research has shown that the structural size (i.e. cortical thickness and/or volume) of amygdala and regions of the vmPFC are inversely correlated in healthy adults, thought to reflect the inverse functional relation described above (Albaugh et al., Reference Albaugh, Ducharme, Collins, Botteron, Althoff and Evans2013; Blackmon et al., Reference Blackmon, Barr, Carlson, Devinsky, DuBois, Pogash and Thesen2011). Childhood trauma moderated bilateral OFC–amygdala volumetric associations in a sample of adults (Bounoua et al., Reference Bounoua, Miglin, Spielberg, Johnson and Sadeh2022). Specifically, adults with childhood trauma exposure showed a positive association between medial OFC and amygdala volume, whereas adults with no childhood exposure showed the negative OFC–amygdala structural association observed in prior research with healthy samples. Studies using resting-state fMRI methods have also found that childhood maltreatment was associated with lower amygdala-vmPFC connectivity, indicative of less of the expected top-down control (Hanson et al., Reference Hanson, Albert, Skinner, Shen, Dodge and Lansford2019; Herringa et al., Reference Herringa, Birn, Ruttle, Burghy, Stodola, Davidson and Essex2013; Nooner et al., Reference Nooner, Mennes, Brown, Castellanos, Leventhal, Milham and Colcombe2013; Thomason et al., Reference Thomason, Marusak, Tocco, Vila, McGarragle and Rosenberg2015). Similar alterations in vmPFC-amygdala circuitry have been observed in studies using task-based, emotion-related fMRI paradigms. For example, Peverill et al. (Reference Peverill, Sheridan, Busso and McLaughlin2019) found that, in a sample of 57 adolescents, vmPFC-amygdala connectivity when viewing negative images (compared to neutral images) was weaker among adolescents exposed to abuse than those without a history of maltreatment. During an emotional conflict task, Marusak et al. (Reference Marusak, Martin, Etkin and Thomason2015) found that trauma-exposed youths (n = 14) exhibited reduced amygdala-PFC coupling, suggesting a failure to dampen amygdala reactivity when compared to matched comparison youth (n = 16). One potential explanation is that stress-exposed youth require a higher degree of prefrontal activation to successfully regulate threat-induced amygdala reactivity, consistent with findings from McLaughlin et al. (Reference McLaughlin, Peverill, Gold, Alves and Sheridan2015).

Current study

Accumulating evidence implicates the vmPFC-amygdala circuit in threat detection processes, a circuit that appears to be particularly impacted by childhood adversity marked by high degrees of threat. Emerging research with adults has found that vmPFC-amygdala coupling can also be observed when parsing transient and sustained threat, potentially indicative of in-the-moment downregulation of amygdala reactivity to negative stimuli by the vmPFC. However, the extent to which i) this association is present in younger samples and ii) these associations may be altered among IPV-exposed youth remains relatively understudied. To address these gaps in the literature, the goal of the current study is to test whether the association between sustained vmPFC and transient amygdala activation to negative, unpredictable stimuli varies as a function of IPV. Based on previous literature examining alterations to vmPFC-amygdala coupling reviewed above, we expected that non-IPV-exposed youth would demonstrate the expected inverse association between vmPFC and amygdala (indicative of intact coupling), while IPV-exposed youth would demonstrate a positive vmPFC-amygdala association (indicative of disrupted coupling).

Methods

Participants

Participants were drawn from a larger Charleston Resiliency Monitoring Study (PI Danielson: R01MH112209), an accelerated, longitudinal cohort design study assessing threat processing across levels of analysis. Participants were recruited through advertisements in schools, pediatric clinics, and the general community. Participants were eligible if they were enrolled in third, sixth, or ninth grade, were between the ages of 7 and 16, and had an adult caregiver willing to participate. Exclusion criteria included monolingual non-English-speaking status, history of psychosis, or evidence of developmental delay or functional impairment that would interfere with completing study procedures. For the present study, youth with MRI contraindications (e.g., irremovable metal in the body) were also excluded. Of the 258 participants with usable neuroimaging dataFootnote 1 , 46 participants were missing data on key study variables.

Thus, for the present study, the final sample of the current study consisted of 212 youth and their caregivers. Sample characteristics can be found in Table 1. Participants were M/SDage = 11.77/2.44 years old (age range: 8–16 years old; 51.9% male). Approximately half (56.1%) of the sample self-identified as White, with 33.2% of youth identifying as Black or African-American, 7.3% identifying as multiracial, and 3.4% endorsing another race. 10.2% of the youth identified as Hispanic/Latinx.

Table 1. Sample characteristics (N = 212)

Measures

Exposure to interpersonal violence (IPV)

The UCLA Posttraumatic Stress Disorder Reactivity Index (UCLA-PTSD-RI for DSM 5; Steinberg et al., Reference Steinberg, Brymer, Kim, Briggs, Ippen, Ostrowski and Pynoos2013) was administered as an interview to both children and their caregiver to assess for a variety of traumatic events. IPV was defined as exposure to any of the following 12 events: community violence, domestic violence, school violence, physical assault, sexual abuse, physical abuse, sexual assault, kidnapping/abduction, terrorism, war/political violence, forced displacement, or trafficking/sexual exploitation. Youth were categorized (Yes/No) as having experienced IPV if they and/or their caregiver reported that the child was directly victimized by or witnessed one or more of these events. We also assessed for exposure to non-violent forms of trauma, which included natural/manmade disasters, serious accidental injury, serious illness/painful and/or frightening medical procedures, neglect, the presence of impaired caregiver, bereavement, and caregiver separation.

Unpredictable threat functional MRI (fMRI) task

The fMRI task was an adaptation of an experimental paradigm by Somerville and colleagues (Reference Somerville, Wagner, Wig, Moran, Whalen and Kelley2013). The task used a mixed-block-event-related design, and modeled brain response to pictures of valence (negative vs. neutral) and temporal predictability (predictable vs. unpredictable onset). At the beginning of each block, a written cue describing trial type is presented for 3000 ms: Predictable Negative, Predictable Neutral, Unpredictable Negative, and Unpredictable Neutral. In predictable blocks, a ticking clock appeared on the screen until the clock hand reached the 12 o’clock position. A picture was then presented on screen for 3000 ms. During unpredictable blocks, the clock did not advance in a meaningful way, and thus, the picture presentation randomly occurred. Between blocks, a crosshair was presented on screen for 1500ms. Pictures were selected from the International Affective Picture System (IAPS; Lang et al., Reference Lang, Bradley and Cuthbert2008) that were threatening or neutral in nature (for details of the IAPS stimuli used in this study, please see Supplementary Table S2 in Huggins et al., Reference Huggins, McTeague, Davis, Bustos, Crum, Polcyn and Danielson2022). Participants completed three runs of the task, each run consisting of one block of ten trials for each of the four conditions. Block order varied across task runs, and runs were counterbalanced across participants. Participants were instructed to press a button whenever they saw a picture appeared to encourage engagement. EPrime 3.0 software (Psychology Software Tools, 2012) was used to present task stimuli and record behavioral responses.

Procedure

All study procedures were approved by the Institutional Review Board. Participants and their caregivers provided written informed consent/assent prior to data collection. Caregivers and youth participants provided demographic information and completed a battery of self-report questionnaires and behavioral tasks. Eligible youth also completed the experimental paradigm of predictable and unpredictable threat during an fMRI scan (see task description above). A metal screening questionnaire was completed by each participant and reviewed by the MRI technician prior to entering the MRI scanner. Participants were placed on the scanner bed and given ear protection, headphones, and head cushioning.

MRI data acquisition

Images were acquired on a Siemens MAGNETOM PRISMA 3T MRI scanner (Erlangen, Germany) with a 32-channel head coil. Functional T2*-weighted images were acquired in an axial orientation and simultaneous multislice pulse sequence (acceleration factor of 3) with the following parameters: repetition time (TR)/echo time (TE) = 1100ms/30 ms; flip angle = 65 degrees; field-of-view (FOV) = 192 mm; voxel size = 3 mm isometric. A high-resolution T1-weighted magnetization-prepared rapid acquisition with gradient echo (MPRAGE) structural scan was acquired for co-registration with the functional data using the following parameters: TR/TE = 2300ms/2.26 ms; flip angle = 8 degrees; FOV = 256 mm; voxel size = 1 mm isometric. To correct for geometric distortions caused by static-field inhomogeneity, field maps were also collected.

Data analysis

fMRI preprocessing and individual-level statistics

fMRI data processing was carried out using FEAT (FMRI Expert Analysis Tool) Version 6.00, part of FSL (FMRIB’s Software Library) and included motion correction using MCFLIRT (Jenkinson 2002); non-brain removal using BET (Smith 2002); B0 field unwarping using FUGUE, spatial smoothing using a Gaussian kernel of FWHM 6 mm; grand-mean intensity normalization of the entire 4D data set by a single multiplicative factor; high-pass temporal filtering (Gaussian-weighted least-squares straight line fitting, with sigma = 115.0s). Registration to high-resolution structural and standard space images was carried out using FLIRT (Jenkinson 2001, 2002). Each usable functional run time-series statistical analysis was carried out using FILM with local autocorrelation correction (Woolrich 2001). One GLM was used which included eight explanatory variables for each of the four experimental conditions (PNEU, PNEG, UNEU, UNEG) modeled as single trials lasting 3 s each (transient response) and an entire block lasting 90 s each (sustained response), convolved with a double-gamma hemodynamic response function. The cue that preceded each block was also modeled as an EV lasting 3 s. Head motion outliers and six parameters of head motion were added as covariates. Temporal derivatives and temporal smoothing were applied to each of the task condition and the cue EVs. Contrasts of parameter estimates (copes) were generated for each run for each participant. Each of the usable runs for a participant were averaged using fixed effects analysis in FEAT and the copes from the averaged runs were submitted to voxel-wise group statistical analysis. For participants with only one usable run, the copes from the single run were used in the group analysis. The majority of participants had complete usable runs (74.1%), followed by two usable runs (18.4%), and one useable run (7.5%). Preliminary analyses revealed no group differences in key study variables (i.e., IPV exposure, amygdala and vmPFC activation) between youth with one, two, or three usable runs (all p’s > .05). Thus, all participants were retained in the data analysis.

Given our a priori regions of interest (ROI), we extracted average BOLD activation levels in the amygdala and vmPFC across these conditions. The vmPFC and amygdala ROIs were created as 5 mm-radius spheres that were centered on regions reported by Somerville et al. (Reference Somerville, Wagner, Wig, Moran, Whalen and Kelley2013) (peak coordinates left for vmPFC: −6, 37, −17; right vmPFC: 3, 29, −12; left amygdala: −21, −7, −17; right amygdala: 24, −1, −20) (see Figure S1 in Appendix). Given we did not have lateralization hypotheses, we opted to average activation across hemispheres for each ROI prior to analysis for a more parsimonious data analytic planFootnote 2 .

Pearson correlations were used to assess bivariate relations among key study variables. Primary analyses were conducted using linear regression analyses, with standardized coefficients and confidence intervals provided as measures of effect size. First, a linear regression was conducted with sustained vmPFC activation predicting transient amygdala activation during unpredictable negative trials. Next, an interaction term between vmPFC activation and IPV exposure (Yes/No) was introduced to the regression to test for IPV moderation. Youth sex assigned at birth (male = 1; female = 2) and age were entered as covariates of no interest. Youth anxiety symptoms (measured by the Multidimensional Anxiety Scale for Children-2nd edition (MASC-2; March, 2013) were included as a covariate to ensure observed effects were not confounded by concurrent threat-related psychopathology (Hart & Rubia, Reference Hart and Rubia2012), consistent with similar neuroimaging work with maltreated youth (e.g., Lambert et al., Reference Lambert, King, Monahan and McLaughlin2017). All analyses were conducted using SPSS Version 28.

Results

Prevalence of trauma exposure

39% of youth reported experiencing at least one type of IPV in their lifetime. The most common form of violence exposure was school-related violence (39.5%), followed by exposure to domestic (32.1%) and community violence (21.3%), sexual abuse (15.0%), physical assault (14.8%), physical abuse (11.3%), and sexual assault (6.3%). No youth in this sample endorsed experiences of kidnapping, terrorism, war violence, or sexual exploitation/trafficking. There was a high degree of non-IPV forms of trauma present in our sample, including bereavement (66.3%), serious illness/medical trauma (46.2%), serious accidental injuries (39.5%), caregiver separation (35.0%), natural disasters (5.7%), neglect (10.0%) and the presence of an impaired caregiver (12.5%).

There was a high degree of overlap between IPV and non-IPV exposure, with approximately 35.1% of the sample reporting experiencing at least one form of IPV and non-IPV traumatic events. Further, among youth who denied IPV exposure, approximately 77.7% of these youth did report exposure to non-IPV trauma.

Preliminary analyses

Bivariate associations among key study variables are presented in Table 2. Youth age and biological sex were weakly correlated, such that female youth tended to be older than male youth. Female sex was also weakly associated with greater youth-reported anxiety symptoms (MASC-2).

Table 2. Bivariate correlations among study variables with 95% confidence intervals

Note. N = 212. Significant correlations bolded. Sex assigned at birth: 1 = Male, 2 = Female. Youth anxiety was measured using the Multidimensional Anxiety Scale for Children – Second edition (MASC-2). IPV = interpersonal violence.

*p<0.05.

Sustained-transient interactions in vmPFC – amygdala co-activation

First, we tested for the association between sustained vmPFC activation and transient amygdala activation during unpredictable, negative trials, after controlling for covariates. Results of the linear regression model can be found in Table 3. Age was significantly related to transient amygdala activation in the negative, unpredictable condition, such that older youth evidenced less amygdala activation. However, there was no significant association between sustained vmPFC and transient amygdala activation.

Table 3. Association between sustained vmPFC and transient amygdala reactivity across the entire sample (after controlling for covariates)

Note. N = 212. Sex assigned at birth: 1 = Male, 2 = Female. R 2 = .04.

Impact of IPV on sustained vmPFC – transient amygdala co-activation

Next, we tested whether the association between sustained vmPFC and transient amygdala activation during unpredictable, negative trials varied as a function of exposure to IPV. Results of the moderation analyses can be found in Table 4. There was a significant interaction effect (p = 0.012). Post hoc probing of the interaction revealed a significant, positive association between sustained vmPFC and transient amygdala activation among IPV-exposed youth (t = 2.24, p = 0.026, 95%CI = 0.05/0.77), while no association was observed for youth with no IPV exposure (t = −1.20, p = 0.230, 95%CI = –0.43/0.10). The significant interaction is depicted in Figure 1.

Table 4. IPV exposure moderates the association between sustained vmPFC and transient amygdala reactivity (after controlling for covariates)

Note. N = 212. Sex assigned at birth: 1 = Male, 2 = Female. IPV = interpersonal violence.

R 2 = .07.

Figure 1. Exposure to IPV moderates vmPFC-amygdala associations during sustained vmPFC and amygdala transient threat responding to unpredictable negative stimuli. vmPFC = ventromedial prefrontal cortex; IPV = interpersonal violence. Bolded line indicated significant simple slope. 95% confidence intervals bands depicted.

Additional analyses

Specificity of negative, unpredictable condition

Our a priori hypotheses pertained to vmPFC-amygdala relations during negative and unpredictable trials, based on previous work (e.g., Somerville et al., Reference Somerville, Wagner, Wig, Moran, Whalen and Kelley2013). To test whether the observed effects were specific to these conditions, we re-ran the above analyses using vmPFC-amygdala activation during other task conditions (e.g., neutral stimuli, predictable threat). We found no significant effects when examining sustained vmPFC – transient amygdala in unpredictable neutral condition or predictable negative condition (p’s>0.05), suggesting that the effect of IPV exposure on sustained vmPFC – transient amygdala co-activation was specific to negative and unpredictable trials.

Specificity of IPV vs. non-violent forms of trauma exposure

Our a priori hypotheses pertained to IPV forms of trauma given research suggesting that exposure to violent or threatening stressors in particular are associated with threat detection alterations (e.g., McLaughlin & Sheridan, Reference McLaughlin and Sheridan2016). We ran a supplementary analysis to test whether exposure to only non-violent forms of trauma (e.g., bereavement, illness) revealed similar moderating effects. Approximately half (n = 101; 47.6%) of the sample endorsed experiencing non-violent forms of trauma (and no IPV). The analysis revealed that exposure to non-IPV trauma did not moderate vmPFC-amygdala relations in the unpredictable, negative condition (p = 0.554), suggesting the observed effects may be particularly driven by violent forms of trauma exposure.

Developmentally relevant individual differences

Given research citing developmental differences (e.g., Gee et al., Reference Gee, Sisk, Cohodes and Bryce2022; Tottenham & Galván, Reference Tottenham and Galván2016) and sex differences (e.g., Bale & Epperson, Reference Bale and Epperson2015) in the development of neural circuits related to threat processing, we conducted supplementary analyses to test whether age or sex differences emerged in the role of IPV on vmPFC-amygdala activation patterns. First, we tested a 3-way interaction to determine whether there were age differences in the observed IPV moderation effect and found no significant age moderation (t = –0.99, p = 0.322, 95%CI = –0.28, 0.09). Similarly, when testing for potential sex differences in the IPV moderation effects, we did not find a significant interaction (t = –.02, p = 0.987, 95%CI = –0.45, 0.45).

Discussion

Extant research has underscored the deleterious impact of IPV exposure on an array of physical, social, and mental health outcomes. These effects are particularly problematic early in life, as neurobiological systems are undergoing vast developmental changes that create heightened sensitivity to environmental stressors, including childhood trauma exposure. The vmPFC-amygdala circuit has been a well-studied neural correlate of threat processing across samples, with several existing studies documenting alterations to this circuit as a function of childhood adversity. However, threat processing represents a broad construct that can be parsed into meaningful subcomponents at the neurobiological level. The current study sought to extend on previous studies by examining whether childhood IPV exposure moderated vmPFC-amygdala associations during a novel adaptation of an fMRI task that parsed transient and sustained threat processing in youth. Consistent with previous research, we found that sustained vmPFC-transient amygdala activation to negative (but not neutral) stimuli differed as a function of IPV exposure, such that IPV-exposed youth displayed a positive association between sustained vmPFC and transient amygdala activation, potentially indicative of reduced inhibitory control of the vmPFC to amygdala activation. Although preliminary, these findings provide compelling evidence that IPV exposure may impact neural systems involved in distinct threat-related processes in youth.

Given work implicating neurobiological alterations as mechanisms of risk transmission between IPV and later psychosocial problems, the transition from childhood to adolescence represents a critical developmental period for studying neural correlates of threat processing before problematic trajectories have crystallized (Gee et al., Reference Gee, Sisk, Cohodes and Bryce2022; Sisk & Gee, Reference Sisk and Gee2022). The vmPFC-amygdala circuit has been widely studied in the context of stress exposure, with numerous studies revealing alterations to this circuit at a neuroanatomical and functional level following trauma exposure. There is ample evidence of the bidirectional and inhibitory nature of vmPFC and amygdala activation, reflecting greater vmPFC activation in order to successfully down-regulate amygdala activation and promote well-being (Dixon et al., Reference Dixon, Thiruchselvam, Todd and Christoff2017; Ghashghaei et al., Reference Ghashghaei, Hilgetag and Barbas2007; Ochsner et al., Reference Ochsner, Ray, Cooper, Robertson, Chopra, Gabrieli and Gross2004; Urry et al., Reference Urry, Van Reekum, Johnstone, Kalin, Thurow, Schaefer and Davidson2006). While the vmPFC-amygdala circuit has been consistently linked to various aspects of fear learning/processing, more work is needed to understand how stress exposure may impact this circuit during specific facets of fear processing. Specifically, there is evidence that among healthy adults, transient and sustained threat-related processing show different neural correlates in fMRI tasks (e.g., Somerville et al., Reference Somerville, Wagner, Wig, Moran, Whalen and Kelley2013). However, the extent to which sustained-transient interactions in the vmPFC-amygdala circuit occur in youth, or the impact of IPV exposure on these associations, has not yet been investigated.

The first aim of this study was to examine the association between vmPFC activation to sustained threat and amygdala activation to transient responses in a sample of stress-exposed youth. Based on the existing neuroimaging work, we expected to find an inverse association between transient amygdala and sustained vmPFC activation to negative stimuli. Interestingly, we did not find a significant association between sustained vmPFC and transient amygdala activation in our sample of children and adolescents. This was somewhat surprising, considering Somerville and colleagues (2013) observed an inverse vmPFC-amygdala sustained-transient interaction using a similar task. One important difference that may explain these disparate findings is the difference in developmental stages between the samples of the two studies, as the Somerville et al. (Reference Somerville, Wagner, Wig, Moran, Whalen and Kelley2013) study included a sample of healthy adults. As noted above, the vmPFC-amygdala circuit undergoes tremendous neurodevelopment across the life span, with rapid changes occurring during early adolescence. Thus, we may expect to find different patterns of vmPFC-amygdala activation related to transient and sustained threat across developmental periods, particularly if youth in the sample are still undergoing cortical development of inhibitory circuits.

At the same time, numerous studies to date have shown that stress exposure plays an impactful role on the vmPFC-amygdala circuit, particularly when it occurs early in development (Tottenham & Galván, Reference Tottenham and Galván2016). Thus, the second aim of the study was to test whether IPV exposure altered the association between sustained and transient threat processing in the vmPFC-amygdala circuit. Consistent with existing literature, we would expect that non-IPV-exposed youth would evidence more normative inverse vmPFC-amygdala activation associations, while IPV-exposed youth would evidence a positive vmPFC-amygdala association (indicative of less top-down control). We found partial support of our hypothesis. Specifically, we found that IPV exposure moderated the association between sustained vmPFC and transient amygdala activation, such that IPV-exposed youth evidenced a positive association between these regions, while non-IPV-exposed youth did not (see Figure 1). Interestingly, the non-IPV-exposed group did not show a significant vmPFC-amygdala association, although there was a trend in the expected negative direction. Based on the interpretations provided by Somerville et al. (Reference Somerville, Wagner, Wig, Moran, Whalen and Kelley2013), the design of the fMRI task allowed for the parsing of sustained and transient neural activation, which can be used to provide an index of how sustained vmPFC activation may modulate in-the-moment transient amygdala reactions to negative stimuli. They found that greater sustained vmPFC activation negatively predicting transient amygdala activation among healthy adults. Extending from this work, our results suggest that, at least for youth, IPV exposure may disrupt the communication between these two regions during transient and sustained threat processing. This would be in line with existing neuroimaging work demonstrating weakened resting and task-based fMRI vmPFC-amygdala coupling among maltreated or stress-exposed youth (e.g., Herringa et al., Reference Herringa, Burghy, Stodola, Fox, Davidson and Essex2016; Marusak et al., Reference Marusak, Martin, Etkin and Thomason2015; Peverill et al., Reference Peverill, Sheridan, Busso and McLaughlin2019). Given research showing that the development of amygdala precedes the development of prefrontal regions and, subsequently prefrontal–limbic connectivity (Gee, Gabard-Durnam, et al., 2013; Gee, Humphreys, et al., 2013), one potential interpretation of these findings is that IPV-exposed youth may have experienced early stress-induced amygdala hyperactivity that leads to alterations in the development of amygdala-PFC connectivity as development continued (Tottenham & Galván, Reference Tottenham and Galván2016). More research will be needed to further explore how and when IPV exposure impacts these circuits to further our understanding of the impact of stress exposure on neural circuitry supporting threat processes.

Although preliminary, the current findings reveal potentially useful insights into how IPV exposure may disrupt neural systems involved in threat processing during adolescence. For example, bivariate correlations revealed that IPV was not directly associated with transient amygdala nor sustained vmPFC activation, but rather modulated the co-activation between these regions as a function of transient and sustained threat activation during the fMRI task. Additionally, follow-up analyses revealed that the moderating effect of IPV on vmPFC-amygdala activation was specific to negative and unpredictable trials (but not neutral or predictable trials, regardless of valence), which suggests that IPV exposure may specifically impact co-activation during certain types of threat processing. One speculative interpretation of our findings is that IPV-exposed youth fail to sufficiently engage vmPFC during sustained unpredictable threatening contexts, which then prevents the dampening of transient amygdala activation to acute threatening presentations, thus leading to the observed positive association between these regions. Alternatively, it is possible that, among IPV-exposed youth, greater transient amygdala activation results in greater vmPFC activation that is sustained during threatening contexts. Thus, the positive vmPFC-amygdala association observed only among IPV-exposed youth may reflect an attempt at regulating emotional responses to the unpredictable and negative stimuli, but if the inhibitory circuit is compromised, more effort is required leading to greater vmPFC activation. Indeed, McLaughlin et al. (Reference McLaughlin, Peverill, Gold, Alves and Sheridan2015) found that maltreated adolescents were more likely to recruit prefrontal regulatory regions than controls to reach the same level of emotion regulation. This interpretation is consistent with recent conceptualizations of childhood adversity that posit neurobiological adaptations observed among stress-exposed youth may actually reflect short-term adaptations to threatening and/or unpredictable environments (e.g., Callaghan and Tottenham, Reference Callaghan and Tottenham2016; McLaughlin & Lambert, Reference McLaughlin and Lambert2017). More research, particularly with longitudinal data, will be needed to examine how sustained-transient interactions in threat processing in the vmPFC-amygdala circuit relate to concurrent and future functioning.

Clinical implications

These findings may translate to further etiological models of psychopathology as they occur among trauma-exposed children and adolescents. Indeed, previous work has linked aberrant vmPFC-amygdala connectivity to an array of mental health problems, including anxiety and posttraumatic stress disorder (e.g., Cisler et al., Reference Cisler, James, Tripathi, Mletzko, Heim, Hu and Kilts2013; Kim et al., Reference Kim, Gee, Loucks, Davis and Whalen2011; Pagliaccio et al., Reference Pagliaccio, Luby, Bogdan, Agrawal, Gaffrey, Belden and Barch2015). In one study, Johnstone et al. (Reference Johnstone, Van Reekum, Urry, Kalin and Davidson2007) found that, while nondepressed individuals showed an inverse vmPFC-amygdala relationship activation during an effortful affective reappraisal task, depressed individuals evidenced a positive vmPFC-amygdala association. In the current study, we found a similar positive vmPFC-amygdala relationship but only among IPV-exposed youth, even after accounting for anxiety symptoms, which may provide some insight into how trauma exposure may confer risk for concurrent and future psychopathology via threat-related neural circuitry. Ultimately, this line of research has the potential to inform interventions targeting stress-exposed youth, particularly by targeting threat-related neural circuitry (Gee et al., Reference Gee, Sisk, Cohodes and Bryce2022; Lee et al., Reference Lee, Heimer, Giedd, Lein, Šestan, Weinberger and Casey2014).

Strengths, limitations, & future directions

The current study had several strengths that advance the current literature. To our knowledge, this is the first study to investigate the impact of IPV exposure on sustained-transient vmPFC-amygdala co-activation in a youth sample. Additionally, we tested hypotheses in a relatively large diverse community sample of children and adolescents relative to existing studies, resulting in greater statistical power and generalizability of our findings. However, findings should be interpreted in light of some study limitations. First, our study used a cross-sectional design, which limited our ability to infer casualty of the effect of IPV, as well as delineate how timing of IPV exposure may impact vmPFC-amygdala circuitry across development (e.g., Cowell et al., Reference Cowell, Cicchetti, Rogosch and Toth2015). Second, the UCLA-PTSD index used to assess for traumatic events is not comprehensive, and thus, other forms of IPV may not have been fully captured in this assessment. Further, this measure only provides a dichotomous indicator of exposure to each IPV type, and thus, we did not have the ability to examine how the severity (e.g., number of exposures) and chronicity of IPV may impact these results. Future studies replicating these findings with additional measures of IPV would address these gaps. Similarly, we did not examine how the severity and chronicity of IPV may impact these results. Studies using a longitudinal design would be useful in extending on these findings to better understand how and when IPV exposure impacts brain development. Third, we focused on the vmPFC and amygdala as ROI based on previous studies; however, it is likely that other brain regions relevant to threat processing may be impacted by IPV exposure. Thus, future research should extend on these findings by testing for effects in other brain regions. Further, while there are advantages to assuming an HRF shape, it is important to note that one limitation of this approach is that deviations from the double-gamma in the transient responses has the potential to mismodeled as a sustained response. Another approach would be to analyze these data without assuming a shape (e.g., FIR model), which may be less biased and reduce the likelihood of mismodeling of transient and sustained responses, but has trade-offs related to noise and power (e.g., Lindquist et al., Reference Lindquist, Meng Loh, Atlas and Wager2009). Moreover, the present co-activation approach does not capture temporal synchrony between brain regions assessed within individuals, and the co-activation method used in this study does not enable investigation of the directionality of the influence of one region on another region. Advanced methods like dynamic causal modeling or Granger causality modeling could be used in future studies to address this. Finally, although we focused on IPV in this study, it is important to acknowledge the impact of other forms of stressors and social determinants of health (e.g., discrimination and race-related trauma, cumulative effects of poverty) on mental health and brain development (e.g., Bernard et al., Reference Bernard, Calhoun, Banks, Halliday, Hughes-Halbert and Danielson2021; Huggins et al, Reference Huggins, McTeague, Davis, Bustos, Crum, Polcyn and Danielson2022). Thus, future work should aim to extend on these findings to further elucidate the impact of other forms of environmental stressors on neural correlates of threat processing.

Conclusions

While a growing literature demonstrates the impact of childhood trauma exposure on neurodevelopment, more research is needed to better understand the mechanisms through which this risk is conferred. In the present study, we found that IPV moderated the co-activation between sustained and transient activation in the vmPFC and amygdala, respectively. To our knowledge, this is the first study investigating the role of IPV on neural circuits on related, yet separable, threat processes among youth. Findings have the potential to inform etiological models of psychopathology among youth with IPV, which is particularly important given that adolescence is a sensitive period for neurodevelopment and the emergence of psychopathology. Future work will be needed to replicate and extend on these findings to further our understanding of how childhood IPV exposure may alter neural circuity involved in specific facets of threat processing.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0954579424001743.

Acknowledgements

This work was financially supported by the following awards: R01MH112209-05 (PI: Danielson), R01MH112209-02S1 (MPI: Danielson & Halliday), R01MH112209-05S1 (PI: Danielson), K24DA039783-07 (PI: Danielson), UL1 TR001450 (MPI: Brady & Flume), MUSC COM Equipment Grant (PI: Danielson). K.I.C. was supported on a T32 MH018869-31 (PIs: Danielson & Kilpatrick).

Competing interests

None.

Footnotes

1 Participants were excluded due to poor data quality (e.g., bad registrations, excessive movement, incomplete scanning data) or not having at least one usable run of data (out of three runs total).

2 Transient activation in right and left amygdala during unpredictable, negative trials were highly correlated (r = .78, p < .001 as was sustained activation in right and left vmPFC during unpredictable, negative trials (r = .62, p < .001).

References

Adams, Z. W., Moreland, A., Cohen, J. R., Lee, R. C., Hanson, R. F., Danielson, C. K., & Briggs, E. C. (2016). Polyvictimization: Latent profiles and mental health outcomes in a clinical sample of adolescents. Psychology of Violence, 6(1), 145155. https://doi.org/10.1037/a0039713 CrossRefGoogle Scholar
Albaugh, M. D., Ducharme, S., Collins, D. L., Botteron, K. N., Althoff, R. R., Evans, A. C., & Brain Development Cooperative Group. (2013). Evidence for a cerebral cortical thickness network anti-correlated with amygdalar volume in healthy youths: Implications for the neural substrates of emotion regulation. Neuroimage, 71, 4249. https://doi.org/10.1016/j.neuroimage.2012.12.071 CrossRefGoogle ScholarPubMed
Bale, T. L., & Epperson, C. N. (2015). Sex differences and stress across the lifespan. Nature Neuroscience, 18(10), 14131420. https://doi.org/10.1038/nn.4112 CrossRefGoogle ScholarPubMed
Bernard, D. L., Calhoun, C. D., Banks, D. E., Halliday, C. A., Hughes-Halbert, C., & Danielson, C. K. (2021). Making the, C-ACE, for a culturally-informed adverse childhood experiences framework to understand the pervasive mental health impact of racism on black youth. Journal of Child & Adolescent Trauma, 14(2), 233247.CrossRefGoogle ScholarPubMed
Blackmon, K., Barr, W. B., Carlson, C., Devinsky, O., DuBois, J., Pogash, D., & Thesen, T. (2011). Structural evidence for involvement of a left amygdala-orbitofrontal network in subclinical anxiety. Psychiatry Research: Neuroimaging, 194(3), 296303. https://doi.org/10.1016/j.pscychresns.2011.05.007 CrossRefGoogle ScholarPubMed
Bounoua, N., Miglin, R., Spielberg, J. M., Johnson, C. L., & Sadeh, N. (2022). Childhood trauma moderates morphometric associations between orbitofrontal cortex and amygdala: Implications for pathological personality traits. Psychological Medicine, 52(13), 25782587. https://doi.org/10.1017/S0033291720004468 CrossRefGoogle ScholarPubMed
Callaghan, B. L., & Tottenham, N. (2016). The stress acceleration hypothesis: Effects of early-life adversity on emotion circuits and behavior. Current Opinion in Behavioral Sciences, 7, 7681. https://doi.org/10.1016/j.cobeha.2015.11.018 CrossRefGoogle Scholar
Cisler, J. M., James, G. A., Tripathi, S., Mletzko, T., Heim, C., Hu, X. P., & Kilts, C. D. (2013). Differential functional connectivity within an emotion regulation neural network among individuals resilient and susceptible to the depressogenic effects of early life stress. Psychological Medicine, 43(3), 507518. https://doi.org/10.1017/S0033291712001390 CrossRefGoogle Scholar
Colich, N. L., Rosen, M. L., Williams, E. S., & McLaughlin, K. A. (2020). Biological aging in childhood and adolescence following experiences of threat and deprivation: A systematic review and meta-analysis. Psychological Bulletin, 146(9), 721764. https://doi.org/10.1037/bul0000270 CrossRefGoogle ScholarPubMed
Cowell, R. A., Cicchetti, D., Rogosch, F. A., & Toth, S. L. (2015). Childhood maltreatment and its effect on neurocognitive functioning: Timing and chronicity matter. Development and Psychopathology, 27(2), 521533. https://doi.org/10.1017/S0954579415000139 CrossRefGoogle ScholarPubMed
De Bellis, M. D. (2001). Developmental traumatology: The psychobiological development of maltreated children and its implications for research, treatment, and policy. Development and Psychopathology, 13(3), 539564. https://doi.org/10.1017/S0954579401003078 CrossRefGoogle ScholarPubMed
Dillon, D. G., Rosso, I. M., Pechtel, P., Killgore, W. D., Rauch, S. L., & Pizzagalli, D. A. (2014). Peril and pleasure: An RDOC-inspired examination of threat responses and reward processing in anxiety and depression. Depression and Anxiety, 31(3), 233249. https://doi.org/10.1002/da.22202 CrossRefGoogle ScholarPubMed
Dixon, M. L., Thiruchselvam, R., Todd, R., & Christoff, K. (2017). Emotion and the prefrontal cortex: An integrative review. Psychological Bulletin, 143(10), 10331081. https://doi.org/10.1037/bul0000096 CrossRefGoogle ScholarPubMed
Doom, J. R., & Gunnar, M. R. (2013). Stress physiology and developmental psychopathology: Past, present, and future. Development and Psychopathology, 25(42), 13591373. https://doi.org/10.1017/S0954579413000667 CrossRefGoogle ScholarPubMed
Etkin, A., Egner, T., Peraza, D. M., Kandel, E. R., & Hirsch, J. (2006). Resolving emotional conflict: A role for the rostral anterior cingulate cortex in modulating activity in the amygdala. Neuron, 51(6), 871882. https://doi.org/10.1016/j.neuron.2006.07.029 CrossRefGoogle ScholarPubMed
Etkin, A., & Wager, T. D. (2007). Functional neuroimaging of anxiety: A meta-analysis of emotional processing in PTSD, social anxiety disorder, and specific phobia. American Journal of Psychiatry, 164(10), 14761488. https://doi.org/10.1176/appi.ajp.2007.07030504 CrossRefGoogle ScholarPubMed
Gee, D. G., Sisk, L. M., Cohodes, E. M., & Bryce, N. V. (2022). Leveraging the science of stress to promote resilience and optimize mental health interventions during adolescence. Nature Communications, 13(1), 5693. https://doi.org/10.1038/s41467-022-33416-4 CrossRefGoogle ScholarPubMed
Ghashghaei, H. T., Hilgetag, C. C., & Barbas, H. (2007). Sequence of information processing for emotions based on the anatomic dialogue between prefrontal cortex and amygdala. Neuroimage, 34(3), 905923. https://doi.org/10.1016/j.neuroimage.2006.09.046 CrossRefGoogle ScholarPubMed
Gold, A. L., Shechner, T., Farber, M. J., Spiro, C. N., Leibenluft, E., Pine, D. S., & Britton, J. C. (2016). Amygdala-cortical connectivity: Associations with anxiety, development, and threat. Depression and Anxiety, 33(10), 917-2–926-2470. https://doi.org/10.1002/da CrossRefGoogle ScholarPubMed
Green, J. G., McLaughlin, K. A., Berglund, P. A., Gruber, M. J., Sampson, N. A., Zaslavsky, A. M., & Kessler, R. C. (2010). Childhood adversities and adult psychiatric disorders in the national comorbidity survey replication I: Associations with first onset of DSM-IV disorders. Archives of General Psychiatry, 67(2), 113123. https://doi.org/10.1001/archgenpsychiatry.2009.186 CrossRefGoogle ScholarPubMed
Greenberg, T., Carlson, J. M., Cha, J., Hajcak, G., & Mujica-Parodi, L. R. (2013a). Neural reactivity tracks fear generalization gradients. Biological Psychology, 92(1), 28. https://doi.org/10.1016/j.biopsycho.2011.12.007 CrossRefGoogle ScholarPubMed
Greenberg, T., Carlson, J. M., Cha, J., Hajcak, G., & Mujica-Parodi, L. R. (2013b). Ventromedial prefrontal cortex reactivity is altered in generalized anxiety disorder during fear generalization. Depression and Anxiety, 30(3), 242-2–250. https://doi.org/10.1002/da 2016.CrossRefGoogle ScholarPubMed
Hanson, J. L., Albert, W. D., Skinner, A. T., Shen, S. H., Dodge, K. A., & Lansford, J. E. (2019). Resting state coupling between the amygdala and ventromedial prefrontal cortex is related to household income in childhood and indexes future psychological vulnerability to stress. Development and Psychopathology, 31(3), 10531066. https://doi.org/10.1017/S0954579419000592 CrossRefGoogle ScholarPubMed
Hariri, A. R. (2009). The neurobiology of individual differences in complex behavioral traits. Annual Review of Neuroscience, 32, 225247. https://doi.org/10.1146/annurev.neuro CrossRefGoogle ScholarPubMed
Hart, H., & Rubia, K. (2012). Neuroimaging of child abuse: A critical review. Frontiers in Human Neuroscience, 6, 52. https://doi.org/10.3389/fnhum.2012.00052 CrossRefGoogle ScholarPubMed
Heim, C., Newport, D. J., Mletzko, T., Miller, A. H., & Nemeroff, C. B. (2008). The link between childhood trauma and depression: Insights from HPA axis studies in humans. Psychoneuroendocrinology, 33(6), 693710. https://doi.org/10.1016/j.psyneuen.2008.03.008 CrossRefGoogle ScholarPubMed
Herringa, R. J., Burghy, C., Stodola, D., Fox, M., Davidson, R., & Essex, M. (2016, May). Effects of childhood adversity on adolescent amygdala-prefrontal connectivity during emotion processing. Biological Psychiatry, 79(9), 290S290S.Google Scholar
Herringa, R. J., Birn, R. M., Ruttle, P. L., Burghy, C. A., Stodola, D. E., Davidson, R. J., & Essex, M. J. (2013). Childhood maltreatment is associated with altered fear circuitry and increased internalizing symptoms by late adolescence. Proceedings of the National Academy of Sciences of the United States of America, 110(47), 1911919124. https://doi.org/10.1073/pnas CrossRefGoogle ScholarPubMed
Huggins, A. A., McTeague, L. M., Davis, M. M., Bustos, N., Crum, K. I., Polcyn, R., & Danielson, C. K. (2022). Neighborhood disadvantage associated with blunted amygdala reactivity to predictable and unpredictable threat in a community sample of youth. Biological Psychiatry Global Open Science, 2(3), 242252.CrossRefGoogle Scholar
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., Sanislow, C., & Wang, P. (2010). Research domain criteria (RDoC): Toward a new classification framework for research on mental disorders. The American Journal of Psychiatry, 167(7), 748751. https://doi.org/10.1176/appi.ajp.2010 CrossRefGoogle Scholar
Johnstone, T., Van Reekum, C. M., Urry, H. L., Kalin, N. H., & Davidson, R. J. (2007). Failure to regulate: Counterproductive recruitment of top-down prefrontal-subcortical circuitry in major depression. Journal of Neuroscience, 27(33), 88778884. https://doi.org/10.1523/JNEUROSCI.2063-07.2007 CrossRefGoogle ScholarPubMed
Kessler, R. C., McLaughlin, K. A., Green, J. G., Gruber, M. J., Sampson, N. A., Zaslavsky, A. M., & Williams, D. R. (2010). Childhood adversities and adult psychopathology in the WHO world mental health surveys. The British Journal of Psychiatry, 197(5), 378385. https://doi.org/10.1192/bjp.bp.110.080499 CrossRefGoogle ScholarPubMed
Kim, M. J., Gee, D. G., Loucks, R. A., Davis, F. C., & Whalen, P. J. (2011). Anxiety dissociates dorsal and ventral medial prefrontal cortex functional connectivity with the amygdala at rest. Cerebral Cortex, 21(7), 16671673. https://doi.org/10.1093/cercor/bhq237 CrossRefGoogle ScholarPubMed
Koenigs, M., & Grafman, J. (2009). Posttraumatic stress disorder: The role of medial prefrontal cortex and amygdala. The Neuroscientist, 15(5), 540548. https://doi.org/10.1177/1073858409333072 CrossRefGoogle ScholarPubMed
Lambert, H. K., King, K. M., Monahan, K. C., & McLaughlin, K. A. (2017). Differential associations of threat and deprivation with emotion regulation and cognitive control in adolescence. Development and Psychopathology, 29(3), 929940. https://doi.org/10.1017/S0954579416000584 CrossRefGoogle ScholarPubMed
Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (2008). International affective picture system (IAPS): affective ratings of pictures and instruction manual. Tech Rep A-8. University of Florida, Gainesville.Google Scholar
Ledoux, J. E. (2000). Emotion circuits in the brain. Annual Review of Neuroscience, 23(1), 155184. https://doi.org/10.1146/annurev.neuro.23.1.155 CrossRefGoogle ScholarPubMed
Lee, F. S., Heimer, H., Giedd, J. N., Lein, E. S., Šestan, N., Weinberger, D. R., & Casey, B. J. (2014). Adolescent mental health—opportunity and obligation. Science, 346(6209), 547549.CrossRefGoogle ScholarPubMed
Lindquist, K., Wager, T., Kober, H., Bliss-Moreau, E., & Barrett, L. (2012). The brain basis of emotion: A meta-analytic review. Behavioral and Brain Sciences, 35(3), 121143. https://doi.org/10.1017/S0140525X11000446 CrossRefGoogle ScholarPubMed
Lindquist, M. A., Meng Loh, J., Atlas, L. Y., & Wager, T. D. (2009). Modeling the hemodynamic response function in fMRI: Efficiency, bias and mis-modeling. Neuroimage, 45(1), S187S198. https://doi.org/10.1016/j.neuroimage.2008.10.065 CrossRefGoogle ScholarPubMed
Marusak, H. A., Martin, K. R., Etkin, A., & Thomason, M. E. (2015). Childhood trauma exposure disrupts the automatic regulation of emotional processing. Neuropsychopharmacology, 40(5), 12501258. https://doi.org/10.1038/npp.2014.311 CrossRefGoogle ScholarPubMed
McCrory, E. J., De Brito, S. A., Kelly, P. A., Bird, G., Sebastian, C. L., Mechelli, A., & Viding, E. (2013). Amygdala activation in maltreated children during pre-attentive emotional processing. The British Journal of Psychiatry, 202(4), 269276. https://doi.org/10.1192/bjp.bp.112 CrossRefGoogle ScholarPubMed
McEwen, B. S. (2007). Physiology and neurobiology of stress and adaptation: Central role of the brain. Physiological Reviews, 87(3), 873904. https://doi.org/10.1152/physrev.00041.2006 CrossRefGoogle ScholarPubMed
McEwen, B. S., & Gianaros, P. J. (2011). Stress-and allostasis-induced brain plasticity. Annual Review of Medicine, 62(1), 431445. https://doi.org/10.1146/annurev-med-052209-100430 CrossRefGoogle ScholarPubMed
McLaughlin, K. A., & Lambert, H. K. (2017). Child trauma exposure and psychopathology: Mechanisms of risk and resilience. Current Opinion in Psychology, 14, 2934. https://doi.org/10.1016/j.copsyc.2016.10.004 CrossRefGoogle ScholarPubMed
McLaughlin, K. A., Peverill, M., Gold, A. L., Alves, S., & Sheridan, M. A. (2015). Child maltreatment and neural systems underlying emotion regulation. Journal of the american Academy of Child & Adolescent Psychiatry, 54(9), 753762.CrossRefGoogle ScholarPubMed
McLaughlin, K. A., & Sheridan, M. A. (2016). Beyond cumulative risk: A dimensional approach to childhood adversity. Current Directions in Psychological Science, 25(4), 239245. https://doi.org/10.1177/0963721416655883 CrossRefGoogle Scholar
Milad, M. R., & Quirk, G. J. (2002). Neurons in medial prefrontal cortex signal memory for fear extinction. Nature, 420(6911), 7074. https://doi.org/10.1038/nature01138 CrossRefGoogle ScholarPubMed
Molnar, B. E., Buka, S. L., & Kessler, R. C. (2001). Child sexual abuse and subsequent psychopathology: Results from the national comorbidity survey. American Journal of Public Health, 91(5), 753760. https://doi.org/10.2105/ajph.91.5.753 Google ScholarPubMed
Morris, J. S., & Dolan, R. J. (2004). Dissociable amygdala and orbitofrontal responses during reversal fear conditioning. Neuroimage, 22(1), 372380. https://doi.org/10.1016/j.neuroimage.2004.01.012 CrossRefGoogle ScholarPubMed
March, J.S. (2013). Multidimensional Anxiety Scale for Children-2nd edition. Multi-Health Systems.Google Scholar
Nooner, K. B., Mennes, M., Brown, S., Castellanos, F. X., Leventhal, B., Milham, M. P., & Colcombe, S. J. (2013). Relationship of trauma symptoms to amygdala-based functional brain changes in adolescents. Journal of Traumatic Stress, 26(6), 784787. https://doi.org/10.1002/jts.21873.CrossRefGoogle ScholarPubMed
Ochsner, K. N., Ray, R. D., Cooper, J. C., Robertson, E. R., Chopra, S., Gabrieli, J. D., & Gross, J. J. (2004). For better or for worse: Neural systems supporting the cognitive down-and up-regulation of negative emotion. Neuroimage, 23(2), 483499. https://doi.org/10.1016/j.neuroimage.2004.06.030 CrossRefGoogle ScholarPubMed
Pagliaccio, D., Luby, J. L., Bogdan, R., Agrawal, A., Gaffrey, M. S., Belden, A. C., & Barch, D. M. (2015). Amygdala functional connectivity, HPA axis genetic variation, and life stress in children and relations to anxiety and emotion regulation. Journal of Abnormal Psychology, 124(4), 817833. https://doi.org/10.1037/abn0000094 CrossRefGoogle ScholarPubMed
Pechtel, P., & Pizzagalli, D. A. (2011). Effects of early life stress on cognitive and affective function: An integrated review of human literature. Psychopharmacology, 214(1), 5570. https://doi.org/10.1007/s00213-010-2009-2 CrossRefGoogle ScholarPubMed
Peverill, M., Sheridan, M. A., Busso, D. S., & McLaughlin, K. A. (2019). Atypical prefrontal-amygdala circuitry following childhood exposure to abuse: Links with adolescent psychopathology. Child Maltreatment, 24(4), 411423. https://doi.org/10.1177/1077559519852 CrossRefGoogle ScholarPubMed
Phelps, E. A., Delgado, M. R., Nearing, K. I., & LeDoux, J. E. (2004). Extinction learning in humans: Role of the amygdala and vmPFC. Neuron, 43(6), 897905. https://doi.org/10.1016/j.neuron.2004.08.042 CrossRefGoogle ScholarPubMed
Psychology Software Tools. (2012). E-Prime 3.0 [Software]. https://www.pstnet.com/eprimeGoogle Scholar
Sisk, L. M., & Gee, D. G. (2022). Stress and adolescence: Vulnerability and opportunity during a sensitive window of development. Current Opinion in Psychology, 44, 286292. https://doi.org/10.1016/j.copsyc.2021.10.005 CrossRefGoogle ScholarPubMed
Somerville, L. H., Wagner, D. D., Wig, G. S., Moran, J. M., Whalen, P. J., & Kelley, W. M. (2013). Interactions between transient and sustained neural signals support the generation and regulation of anxious emotion. Cerebral Cortex, 23(1), 4960. https://doi.org/10.1093/cercor/bhr373 CrossRefGoogle ScholarPubMed
Steinberg, A. M., Brymer, M. J., Kim, S., Briggs, E. C., Ippen, C. G., Ostrowski, S. A., & Pynoos, R. S. (2013). Psychometric properties of the UCLA PTSD reaction index: Part I. Journal of Traumatic Stress, 26(1), 19. https://doi.org/10.1002/jts.21780 CrossRefGoogle ScholarPubMed
Teicher, M. H., Andersen, S. L., Polcari, A., Anderson, C. M., Navalta, C. P., & Kim, D. M. (2003). The neurobiological consequences of early stress and childhood maltreatment. Neuroscience & Biobehavioral Reviews, 27(1-2), 3344. https://doi.org/10.1016/S0149-7634(03)00007-1 CrossRefGoogle ScholarPubMed
Thomason, M. E., Marusak, H. A., Tocco, M. A., Vila, A. M., McGarragle, O., & Rosenberg, D. R. (2015). Altered amygdala connectivity in urban youth exposed to trauma. Social Cognitive and Affective Neuroscience, 10(11), 14601468. https://doi.org/10.1093/scan/nsv030 CrossRefGoogle Scholar
Tottenham, N., & Galván, A. (2016). Stress and the adolescent brain: Amygdala-prefrontal cortex circuitry and ventral striatum as developmental targets. Neuroscience & Biobehavioral Reviews, 70, 217227. https://doi.org/10.1016/j.neubiorev.2016.07.030 CrossRefGoogle ScholarPubMed
Urry, H. L., Van Reekum, C. M., Johnstone, T., Kalin, N. H., Thurow, M. E., Schaefer, H. S., & Davidson, R. J. (2006). Amygdala and ventromedial prefrontal cortex are inversely coupled during regulation of negative affect and predict the diurnal pattern of cortisol secretion among older adults. The Journal of Neuroscience, 26(16), 44154425. https://doi.org/10.1523/JNEUROSCI.3215-05.2006 CrossRefGoogle ScholarPubMed
Webler, R. D., Berg, H., Fhong, K., Tuominen, L., Holt, D. J., Morey, R. A., & Lissek, S. (2021). The neurobiology of human fear generalization: Meta-analysis and working neural model. Neuroscience & Biobehavioral Reviews, 128, 421436.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Sample characteristics (N = 212)

Figure 1

Table 2. Bivariate correlations among study variables with 95% confidence intervals

Figure 2

Table 3. Association between sustained vmPFC and transient amygdala reactivity across the entire sample (after controlling for covariates)

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Table 4. IPV exposure moderates the association between sustained vmPFC and transient amygdala reactivity (after controlling for covariates)

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Figure 1. Exposure to IPV moderates vmPFC-amygdala associations during sustained vmPFC and amygdala transient threat responding to unpredictable negative stimuli. vmPFC = ventromedial prefrontal cortex; IPV = interpersonal violence. Bolded line indicated significant simple slope. 95% confidence intervals bands depicted.

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