Running Head: PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
Parental Coping Socialization is Associated with Healthy and Anxious Early-Adolescents’
Neural and Real-World Response to Threat
Rosalind D. Butterfield1, Greg J. Siegle2, Kyung Hwa Lee1, Cecile D. Ladouceur2, Erika E.
Forbes2, Ronald E. Dahl3, Neal D. Ryan2, Lisa Sheeber4, & Jennifer S. Silk1
Developmental Science (In Press)
1
University of Pittsburgh, Department of Psychology
2
3
University of Pittsburgh, Department of Psychiatry
University of California, Berkeley, School of Public Health
4
Oregon Research Institute
There are no known conflicts of interest associated with this publication and there has been no
significant financial support for this work that could have influenced its outcome.
Acknowledgements: Research funding was provided by P50 MH080215 (Ryan).
Correspondence: Rosalind D. Butterfield, Department of Psychology, University of Pittsburgh,
210 South Bouquet St., 3137 Sennott Square, Pittsburgh, PA 15260; rde11@pitt.edu
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PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
Research Highlights:
Youth typically learn how to cope with their anxiety through their parents’ coping
socialization behaviors. However, the neural mechanisms through which this occurs are
unknown.
Results show that engagement coping socialization during anxiety-eliciting, parent-child
interactions are associated with increased anterior insula and perigenual cingulate
activation to threat words in anxious early-adolescents.
Conversely, findings show that coping socialization is associated with decreased anterior
insula and pgACC activation in healthy early-adolescents.
Greater coping socialization was indirectly associated with less use of disengaged coping
(i.e., avoidance and distraction) in daily life through neural activation for anxious earlyadolescents only.
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PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
Abstract
The ways parents socialize their adolescents to cope with anxiety (i.e. coping socialization) may
be instrumental in the development of threat processing and coping responses. Coping
socialization may be important for anxious adolescents, as they show altered neural threat
processing and over-reliance on disengaged coping (e.g., avoidance and distraction), which can
maintain anxiety. We investigated whether coping socialization was associated with anxious and
healthy adolescents’ neural response to threat, and whether neural activation was associated with
disengaged coping. Healthy and clinically anxious early-adolescents (N=120; M=11.46 years; 71
girls) and a parent engaged in interactions designed to elicit adolescents’ anxiety and parents’
response to adolescents’ anxiety. Parents’ use of reframing and problem-solving statements was
coded to measure coping socialization. In a subsequent visit, we assessed adolescents’ neural
response to threat words during a neuroimaging task. Adolescents’ disengaged coping was
measured using ecological momentary assessment. Greater coping socialization was associated
with lower anterior insula and perigenual cingulate activation in healthy adolescents and higher
activation in anxious adolescents. Coping socialization was indirectly associated with less
disengaged coping for anxious adolescents through neural activation. Findings suggest that
associations between coping socialization and early adolescents’ neural response to threat differ
depending on clinical status and have implications for anxious adolescents’ coping.
Keywords: adolescent anxiety; threat processing; parenting; socialization; neuroimaging;
coping
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PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
Parental Coping Socialization is Associated with Healthy and Anxious Early Adolescents’
Neural and Real-World Response to Threat
Adolescents are at heightened risk for clinical levels of anxiety (Merikangas et al.,
2010). This risk is believed to be putatively associated with growing awareness and fear of
abstract forms of threat, including death, danger, social and academic evaluation (Beesdo,
Knappe, & Pine, 2009; Weems & Costa, 2005). Anxiety is characterized by excessive vigilance
towards threat, heightened physiological arousal, exaggerated negative emotionality, and
maladaptive over-reliance on disengagement coping strategies, such as avoidance, in response to
anxiety-provoking situations (Compas, Connor-Smith, Saltzman, Thomsen, & Wadsworth, 2001;
LeDoux & Pine, 2016; Strawn, Dominick, et al., 2014; Suveg & Zeman, 2004; Zeman, Cassano,
Perry-Parrish, & Stegall, 2006). These characteristics are thought to represent alterations in
emotion processing and underlying neural systems. For children and adolescents, parental factors
have been found to contribute to the development of negative emotion processing and coping
abilities when measured behaviorally (Morris, Silk, Steinberg, Myers, & Robinson, 2007).
Therefore, it is theorized that parental factors play a role in shaping the development of the
neural circuitry underlying children’s emotion processing and regulation (Kopala‐Sibley et al.,
2018).
Initial studies have shown support for the role of parenting on the neural substrates of
emotional reactivity and regulation, particularly in younger children. For example, behavioral
research has shown that the presence of mothers during fear conditioning has been shown to
buffer children’s conditioned startle responses (van Rooij et al., 2017). Affective neuroscience
studies have also shown that viewing pictures of mothers (versus strangers) displayed during a
neuroimaging task support the regulatory effects of amygdala reactivity by the prefrontal cortex
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PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
(Gee et al., 2014). However, these buffering effects were found only in children, and were absent
in adolescents. Therefore, there may be different parenting factors that scaffold emotion
processing and regulation abilities in older youth.
The potential for continued influence of parental factors on brain functioning in
adolescence may be a result of the extended maturation process of the human brain, both
functionally and structurally, which spans from infancy through late-adolescence/earlyadulthood (Kopala‐Sibley et al., 2018; Luna, Padmanabhan, & O’Hearn, 2010). Late childhood
through early-adolescence is a major period of neural maturation in the frontal cortex, which
occurs in the forms of myelination and synaptic pruning (see review by Andersen, 2003). This is
a period of dramatic neuronal reorganization, such that there is a nearly 40% decrease in synaptic
density by age 15. This maturation period coincides with increases in various cognitive abilities,
such as abstract reasoning, emotion regulation, cognitive control, and support processes
necessary for environmental adaptation (Andersen, 2003). Periods of major neural reorganization are known to be particularly sensitive to the influences of environmental factors,
and it has been posited that such input from the environment helps to guide neural maturation
processes that will be supportive of adaptive response and behavior (Andersen, 2003). Therefore,
the information that youth learn from their parents during the early-adolescent period may play
an important role in supporting ongoing maturation processes of brain function that subserve
emotion processing and regulation. Given that many new challenges arise in early-adolescence, it
is a particularly important period during which youth must learn how to adaptively cope with
feelings of negative affect, such as threat. To this end, the current study seeks to examine how
parental factors specific to socializing adaptive coping behaviors in youth may be associated
with the functioning of neural regions that support threat processing in early-adolescents.
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Though limited, affective neuroscience research has begun to show that parenting factors
are related to adolescent neural processing of negatively valenced stimuli in regions implicated
in processing threat stimuli. For example, healthy adolescents who reported having warmer
parents exhibited less amygdala reactivity in response to negative emotional faces (versus neutral
faces), possibly indicating less hypervigilance to and appraisal of threat in response to negative
stimuli (Romund et al., 2016). Also, 7-year-old children who were behaviorally inhibited as
toddlers exhibited lower ventrolateral prefrontal cortex (VLPFC) activation to peer rejection
during adolescence, if they had harsh authoritarian parents (Guyer et al., 2015). Such findings
indicate that negative or harsh parenting styles could be associated with reduced recruitment of
prefrontal cortical regions that support regulatory processes in the context of processing
threatening information. Together, these findings suggest that parental factors are important
when trying to understand individual differences in the functioning of neural systems implicated
in threat processing. While these research advances are important, to-date no studies have shown
how the links between parental influences and neural function implicated in the processing of
threat impact adolescents’ day-to-day behavior.
The two previously mentioned studies focused on broad parenting factors including affect
(i.e., warmth) and style (i.e., authoritative and authoritarian). However, the literature has shown
that youth learn to utilize more adaptive response strategies to cope with negative emotion when
their parents exhibit active, engagement-oriented coping socialization practices (Abaied &
Rudolph, 2010; Morris et al., 2011; Morris et al., 2007; Zeman et al., 2006). These more specific
parenting behaviors, including reframing, problem-solving, and encouragement to face fearful
situations, are posited to model and support adaptive coping strategy use in children (i.e. parental
coping socialization). Engagement-oriented coping socialization behaviors may be especially
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PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
important for adolescents with anxiety, as these youth tend to rely on disengaged coping
strategies, such as avoiding, distracting, or escaping from benign situations, which they
incorrectly judge as threatening and thereby anxiety producing (Barrett, Rapee, Dadds, & Ryan,
1996; Chorpita, Albano, & Barlow, 1996; Suveg & Zeman, 2004; Weems, Costa, Watts, Taylor,
& Cannon, 2007). Therefore, in the current study we investigated the effects of these more
specific parental coping socialization behaviors on neural activity in regions implicated in threat
processing in healthy and anxious early-adolescents. We also explored whether these
associations are related to adolescents’ reported use of disengaged coping strategies on a daily
basis in the real world. Findings from the current study could contribute to deepening our
understanding of how adaptive coping responses to anxiety-provoking situations are socialized in
adolescents. Despite the use of a cross-sectional design, this novel study could identify potential
neural mechanisms that may explain the link between parental socialization behaviors and
adolescent real-world coping behaviors.
Brain activity in early-adolescents was assessed using a functional neuroimaging task that
involves processing threat-related information and elicits activation in brain regions implicated
in youth anxiety (Strawn, Dominick, et al., 2014). Through a region-of-interest (ROI) approach,
we focused on the amygdala, anterior insula, and subgenual cingulate (sgACC), which are part of
a neural network circuit involved in detecting and appraising negative, threat-related stimuli
(Guyer et al., 2008; Phan, Wager, Taylor, & Liberzon, 2002; Singer, Critchley, & Preuschoff,
2009). We also examined brain regions implicated in automatic fear regulation, involuntary
attentional and emotional control, and subjective emotions, including the perigenual cingulate
(pgACC/BA24) and the ventrolateral prefrontal cortex (VLPFC/BA47) (Blackford & Pine, 2012;
Etkin, Egner, & Kalisch, 2011; LeDoux & Pine, 2016; Posner, Rothbart, Sheese, & Tang, 2007;
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PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
Strawn, Wehry, DelBello, Rynn, & Strakowski, 2012). We specifically included the pgACC
(BA24) region, as opposed to the dorsal ACC region (BA32), as the pgACC is known to have
the most dense bi-directional connections to the amygdala and insula (Blackford & Pine, 2012;
Posner et al., 2007) and is implicated in the regulation of threat processing, fear extinction, and
the facilitation of adaptive responses (Etkin et al., 2011). PgACC activity is also found to
distinguish emotionally valenced words from neutrally valenced abstract words (Vigliocco et al.,
2014), relevant to the task used in the current study.
In order to capture the specificity of parental coping socialization behaviors, we asked
participants to complete two anxiety-provoking, parent-adolescent interaction tasks and coded
how often parents used engagement-oriented coping socialization behaviors (e.g. reframing,
problem-solving). Although parents’ engagement-oriented coping socialization behaviors fall
under the umbrella of supportive responses to children's emotions, as used in previous coding
categorization systems (Eisenberg, Cumberland, & Spinrad, 1998; Eisenberg, Fabes, Carlo, &
Karbon, 1992), we utilized a modified coding system that allowed us to focus on parenting
behaviors theorized in the emotion socialization literature to specifically help youth cope with
anxiety (Ginsburg & Schlossberg, 2002; Wood, McLeod, Sigman, Hwang, & Chu, 2003).
Although parenting is often thought of as having direct effects on youth, these effects can be bidirectional (i.e., child behaviors and characteristics driving parental behaviors). Specific to
anxiety, parents of anxious youth perceive their children’s high reactivity in response to negative
events, and in turn, may view their children as more vulnerable or helpless (Ginsburg &
Schlossberg, 2002). Consequently, parents may exhibit high distress and react with overcontrolling and intrusive behaviors or encourage avoidance in the context of potential threat.
Such behaviors have adverse effects on how youth cope with anxiety, including the
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PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
reinforcement of youth’s sensitivity to perceived threat, avoidance of challenges, and the
maintenance of anxiety symptoms (Dadds, Barrett, Rapee, & Ryan, 1996; Lewis-morrarty et al.,
2012; Van Der Bruggen, Stams, & Bögels, 2008; Zalewski, Lengua, Wilson, Trancik, & Bazinet,
2011). Therefore, we explore whether there are differences in the socialization of coping
strategies in parents of healthy adolescents and those of anxious adolescents. In addition, it has
been suggested that youth who are highly reactive to environmental cues may be more affected
by parenting than less reactive youth (for review see Kiff, Lengua, & Zalewski, 2011). If this is
the case, then it might be that neural response to threat-related information in anxious
adolescents, characterized by high emotional reactivity, might be more susceptible to the effects
of parenting than healthy adolescents. To test this hypothesis, we assessed whether parenting
differentially influenced neural response to threat in anxious versus healthy youth.
We also explored whether adolescent brain function, associated with parenting, would be
related to adolescent-reported use of disengaged coping in real-world environments. This may be
particularly relevant to assess in clinically anxious adolescents, given that higher internalizing
symptoms are found in youth who disengage (e.g., avoid) from their challenges, compared to
those who actively engage with challenges (Compas et al., 2001). Regions implicated in
detecting and regulating threat responses have been associated with cognitive coping responses
in healthy and anxious populations (see review by Hofmann, Ellard, & Siegle, 2012). For
example, adolescents who reported themselves as high in the dimension of harm avoidance,
using a temperament questionnaire, exhibited greater activation in the sgACC during an
inhibition-related task (Yang et al., 2009). More specific to the use of avoidance behaviors,
during an avoidance-approach fMRI task healthy, 9-to-14 year old youth showed increased
activation in the amygdala and insula to threat-related (i.e., snake) avoidance cues (Schlund et
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PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
al., 2010). Youth who had more frequent behavioral responses per second to avoidance cues
exhibited higher amygdala activation, but lower anterior insula, pgACC, and anterior cingulate
cortex activation (Schlund et al., 2010). These results suggest that greater avoidance tendencies
may be associated with increased activation in affective salience regions and lower engagement
of midline-prefrontal regions.
More lateral and superior regions of the PFC have also been implicated in cognitive
coping responses in youth. Specifically, during an fMRI paradigm using facial expression
stimuli, adolescents with generalized anxiety disorder were shown to have an attentional bias
away from angry faces (possibly reflecting avoidance) and also showed greater activation in the
VLPFC in response to angry faces, compared to healthy youth (Monk et al., 2006). However,
activation in the VLPFC has also been found in healthy youth when they are instructed to utilize
more adaptive coping strategies, such as reappraisal (McRae et al., 2012). Furthermore,
adolescents with and without histories of maltreatment have been shown to exhibit greater
activation in the superior PFC, anterior cingulate, and the lateral inferior frontal gyrus/VLPFC
when asked to regulate their negative emotional response to negative images (versus passive
viewing) (McLaughlin, Peverill, Gold, Alves, & Sheridan, 2015). Therefore, it is still unclear if
functional activation patterns in PFC regions, such as the VLPFC, can differentiate the use of
various coping strategies or if activation in these regions are general to youth’s attempts to
down-regulate negative emotions, regardless of strategy. Overall, though, studies to date suggest
that the function of affective salience and regulatory regions may play a role in coping among
adolescents. However, no study has assessed how neural activation in these regions may be
associated with coping strategies used in real-world situations.
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PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
The current study used ecological momentary assessment (EMA), an ecologically valid
approach, to assess how often early-adolescents use disengaged-coping strategies when faced
with negative events occurring in their daily life. EMA allows behavioral information to be
captured as it occurs in adolescents’ natural environments. Furthermore, EMA reduces the
reliance on retrospective accounts, which are often biased due to recency effects, bias toward
infrequent events or peak-level subjective experiences, and inconsistent reports of coping
strategy use (Stone et al., 1998). Adolescent disengaged coping was operationalized to include
avoidance and distraction strategies because both of these strategies are known to contribute to
the maintenance of anxiety (Aupperle & Paulus, 2010; Wright, Banerjee, Hoek, Rieffe, & Novin,
2010). Distraction can serve both adaptive and maladaptive functions and has been found to load
onto a secondary, engagement coping factor (Connor-Smith, Compas, Wadsworth, Harding
Thomsen, & Saltzman, 2000), we decided to consider it a disengagement strategy because
distraction involves directing attention away from stressors, rather than engaging in more active
strategies that involve solving one’s problems or reframing the situation in efforts to reduce
anxiety or fear (Compas et al., 2001). Although avoidance and distraction strategies can be
adaptive in some circumstances, a previous study conducted in the current sample found these
strategies to be ineffective in the down-regulation of nervousness for both anxious and healthy
early-adolescents (Tan et al., 2012). The use of both of these strategies was also associated with
attentional avoidance and higher vigilance towards threat during an fMRI dot probe task in the
current sample of anxious adolescents (Price et al., 2016).
In the present study, we tested several hypotheses about the relationships between
parental coping socialization during parent-child interactions, early-adolescents’ neural response
to threat words, and disengaged coping in daily life. First, preliminary analyses assessed whether
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parents of anxious youth would exhibit less frequent coping socialization behaviors during
anxiety-provoking interaction tasks than parents of healthy youth. Second, we hypothesized that
for both healthy and clinically anxious early-adolescents, greater parental coping socialization
would be associated with lower activation in regions implicated in vigilance and arousal to
threat, including the amygdala, anterior insula, and sgACC. Additionally, we hypothesized that
greater parental coping socialization would be associated with higher activation in regions
implicated in fear regulation and involuntary attentional and emotional control, including the
pgACC and VLPFC. Third, we explored whether the associations between parenting and earlyadolescent neural threat processing differed between anxious and non-anxious adolescents.
Specifically, we hypothesized that the neural function of the aforementioned brain regions
implicated in threat processing would be more strongly associated with parental socialization in
adolescents with clinical anxiety compared to healthy adolescents. Finally, for brain regions that
were shown to be associated with parental coping socialization, we explored whether coping
socialization would have indirect effects on adolescents’ use of disengaged coping (i.e., lower
reliance on avoidant and distraction coping behaviors) in daily life through neural activation.
Methods
Participants
One hundred twenty early-adolescents (84.2% Caucasian), ages 9-14 years old (M=11.46,
SD=1.52; 71 girls), including 87 with clinical anxiety, and their primary caregiver (114 mothers,
5 fathers, 1 grandmother; hereafter referred to as parents for brevity) were recruited for a child
anxiety treatment study through local media advertisements, school counselors, mental health
and pediatrician referrals, and other research studies (see Silk et al., 2018). We operationalized
early adolescence in this study as beginning at age 9, as this age has been found to be around the
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typical onset of the early stages of pubertal maturation (Herman-Giddens, 2006). Anxious youth
were required to meet DSM-IV (American Psychiatric Association, 1994) criteria for current
generalized anxiety, separation anxiety, and/or social anxiety disorders. Approximately 27% of
anxious youth were diagnosed with multiple anxiety disorders and 14.3% had comorbid
disorders (see Table 1 for complete details). For all participants, exclusion criteria included IQ
below 70, assessed by the Wechsler Abbreviated Scale of Intelligence (Psychological
Corporation, 1999), or risk for harm to self or others. Participants were also excluded if they
reported any MRI contraindication. Exclusion criteria for anxious participants further included
current use of psychotropic medications, current primary diagnosis of major depressive disorder,
obsessive-compulsive disorder, post-traumatic stress disorder, conduct disorder, substance abuse
or dependence, or attention deficit hyperactivity disorder (combined type or hyperactiveimpulsive type), or a lifetime diagnosis of autism spectrum disorder, bipolar disorder, psychotic
depression, schizophrenia, or schizoaffective disorder. The control group could not have a
current or lifetime DSM-IV diagnosis (other than enuresis) or have a parent with a current or
lifetime DSM-IV anxiety or mood disorder diagnosis. See Table 1 for participant demographics.
Procedure
Parents completed pre-screening phone interviews. During their first laboratory visit,
parents and youth were briefed on the study protocol. Written informed consent from parents and
assent from youth were obtained. Study procedures were approved by the University Institutional
Review Board. Next, participants completed structured diagnostic interviews, questionnaires,
and parent-adolescent observation tasks. Following visit 1, adolescents completed a 5-day
ecological momentary assessment (EMA) protocol on study-provided mobile phones.
Approximately three weeks later (Mdays=23.61, SD=12.42), adolescents completed a functional
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magnetic resonance imaging (fMRI) assessment at a brain imaging center. Out of 183
participating adolescents, 153 completed the fMRI scan. Of those, 33 were excluded from
analyses due to: cyst found during scan (n=1); excessive motion (see preprocessing section;
n=28); or missing behavioral responses on more than one-third of task trials (n=4). Participants
who did not complete the scan or had unusable fMRI data were younger in age (Mage=10.30,
SD=1.21) than included participants (t=5.27, p<.001), but did not differ in gender, race, or
anxiety severity scores (p>.05).
Measures
Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime
Version (KSADS-PL). Parents and youth were interviewed separately to determine adolescents’
mental health history. Semi-structured KSADS-PL (Kaufman et al., 1997) interviews were
completed by trained BA- and MA-level independent evaluators. Data from both informants was
integrated for diagnoses. Inter-rater reliability using 16% of interviews was high (κ=.97) (Silk et
al., 2018). A DSM-IV (American Psychiatric Association, 1994) final diagnosis was provided by
a child psychiatrist during consensus case conferences.
Parent-adolescent interaction tasks. Parents and early-adolescents completed two
interaction tasks, including a five-minute discussion in which the dyad discussed a recent time
when the adolescent was worried (adapted from Suveg, Zeman, Flannery-Schroeder, & Cassano,
2005; Whaley, Pinto, & Sigman, 1999) and a five-minute speech task. In the speech task, the
adolescent was told that they would be giving a video-taped, 1 min 30 sec speech about a topic
they chose out of several challenging options. Youth were informed that their performance
would be assessed and compared to others. Parents were asked to help their adolescent prepare.
Adolescents were also given the option to complete a second speech. Parents and adolescents
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were left alone to discuss whether or not to complete the second speech, during which we aimed
to capture parents’ behaviors used to encourage or discourage their adolescent’s participation
(Silk et al., 2013).
Parent and early-adolescent behaviors during both tasks were videotaped and coded using
a modified version of the Living in Family Environments Coding System (LIFE; Hops, 2007).
The LIFE system is an event-based, micro-social coding system that captures verbal content and
nonverbal or paraverbal indices of affect. These content and affect codes are combined rationally
into constructs, which are used for analysis. In the present study, we used a “Coping Statement”
construct which included new content codes capturing: 1) parental encouragement to problemsolve and approach challenges; and 2) cognitive reframing, as long as they were said without
aversive (aggressive/contemptuous) or anxious affects. For example, statements in which parents
encouraged their adolescent to try the feared activity (i.e. speech task) included: “I think you
should do it, too,” or “the speech only takes a couple minute”. An example of a statement in
which the parent helped to reframe the situation or feared task, in order to help their adolescent
cope with their anxiety, included: “the best way to overcome being uncomfortable at doing
something is to do it and to do it often.” Trained research staff who were not aware of diagnostic
group assignment coded the interactions. Reliability assessed on 20% of interactions was good
(κ=.72). Rate per minute of coping statements for both tasks was averaged to create a single
coping statement variable.
EMA. Adolescents were given cellphones at visit 1 to complete 14 calls over 5 days.
Trained interviewers administered ~5 minute phone interviews at random intervals, during predetermined blocks, to assess adolescents’ current emotional state, most positive and negative
events occurring within the past hour, and coping strategy used in response to negative events
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PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
(details in Tan et al., 2012). Youth were called twice between the hours of 4 p.m. and 9:30 p.m.
on weekdays (Thursday, Friday and Monday) and four times between the times of 11 a.m. and
9:30 p.m. on Saturday and Sunday, totaling 14 calls or sampling events. The current study
focuses on “yes/no” endorsements of avoidant coping in response to negative events. The
avoidant coping construct was based on two coping strategy questions: “Did you try not to think
about it or try to forget all about it [the problem/negative event]?” (avoidance/suppression); and
“Did you keep your mind off of the problem by doing something else?” (distraction).
Adolescents rated their distress (angry, nervous, sad, and/or upset) levels on a scale of 1 through
5 (1=very slightly or not at all, 2=a little, 3=moderately, 4=quite a bit, 5=extremely). An emotion
rated as a 1 or 2 would not necessarily be strong enough to require emotion regulation strategies.
For this reason, we calculated the proportion of calls in which avoidance/suppression or
distraction were endorsed in response to negative events that caused a distress level of 3 or
above, similar to previous work on emotion regulation (Price, et al., 2016). The mean number of
calls included was 7.95 (SD=3.89).
fMRI Task and Acquisition. Adolescents were familiarized with the scanner sounds and
trained to minimize movement during an MRI simulation. Participants completed a structural
scan followed by functional tasks, including the word valence identification (VID) task (adapted
from Silk et al., 2007). Tasks were completed in random order, varying for each participant.
During the slow-event related VID task, youth identified the valence of words (n=51) that were
chosen from a word corpus normed for youth (Neshat-Doost, Moradi, Taghavi, Yule, &
Dalgleish, 1999; Neshat-Doost, Moradi, Taghavi, Yule, & Dalgleish, 2000). Word types
included physical threat (n=15), social threat (n=15), and neutral (n=15). A small number of
positive words (n=6) were also included to add variation, but were not intended for analysis.
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Participants were presented with each word, one time each, and were asked to indicate the
valence of the word (i.e. positive, neutral, or negative) using a Psychology Software ToolsTM
glove. Words were presented using E-Prime software (Psychology Software Tools, Pittsburgh,
PA) in black on a grey background, and valence identification options were displayed on screen
throughout the task (e.g., “+N−” representing “Positive” on the index finger, “Neutral” on the
middle finger and “Negative” on the ring finger). Trials began with a 900ms fixation cross,
followed by a 1500ms word presentation, and ended with the presentation of a mask (a row of
Xs) for a 9190ms inter-trial interval. Including such a mask allowed sufficient time to for
elaborative processing following word presentation and allowed time for the hemodynamic
response function to return to baseline (see Silk, Lee, Kerestes, et al., 2017).
The present study focused on physical threat words, such as “attacked,” “fire,” and
“kidnapped,” as threat to human safety and well-being are evolutionarily salient. Although threat
words present no actual threat to participants, they have been found to activate cognitive and
emotional processes associated with fear and anxiety—particularly among anxious populations
(MacLeod, Mathews, & Tata, 1986). We did not compare neural activation during physical
threat word trials to neutral word trials because neutral information is often found to trigger
activation associated with ambiguity (Kober et al., 2008; Pfeifer et al., 2011), especially in youth
(Silk et al., 2009; Thomas, Drevets, Dahl, & et al., 2001), making it difficult to interpret this
contrast.
Imaging Acquisition. Data were collected on a 3T Siemens Trio scanner across three
runs/sessions. Stimuli were projected onto a rear projection screen and viewed through a mirror.
E-Prime was used to present the task and collect behavioral responses. Responses were made
with a 5-button Psychology Software Tools glove. Thirty-two, 3.2mm slices were acquired per
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volume using a posterior-to-anterior a T2* weighted echo planar imaging pulse sequence
(TR=1670 ms, TE=29 ms, FOV=205x205 mm, matrix size= 64 x 64, voxel size=3.2 x 3.2 x 3.2
mm3, flip angle=75º, slice thickness=3.2 mm). 357 EPI volumes were acquired across the task (7
per 11.69s trial). 176 high-resolution T1-weighted MPRAGE images were also collected
(TR=2100 ms, TE=3.31 ms, FOV=265x208, matrix size=256x208, voxel size=1.0 x 1.0 x 1.0
mm3, flip angle=8º, slice thickness=1 mm).
Preprocessing and ROI data analysis. Analyses were conducted using NeuroImaging
Software (Fissell et al., 2003), Analysis of Functional Neuroimaging (AFNI; Cox, 1996), and
custom Matlab routines. Functional volumes were corrected for slice-timing and spatially
realigned to correct for motion. Functional imaging data were slice-time corrected using 3dTshift
and motion-corrected using 3dVolReg based on the first image (a reference image) implemented
in AFNI. Linear trends over the run were removed using niscorrect from NeuroImaging
Software. This procedure also reduces the impact of within-subject outliers by winsorizing or
clipping outliers over 1.5 interquartile range (IQR) from the 25th or 75th percentiles to the
nearest value. Data were temporally smoothed using a 7-point Gaussian filter (nisfilter). Images
were co-registered to the MNI Colin27 template using the Automated Image Registration
(AIR3.08) package’s default 2nd order model (a 30-parameter nonlinear automated warping
algorithm) (Woods, Grafton, Watson, Sicotte, & Mazziotta, 1998; Woods, Mazziotta, & Cherry,
1993) and spatially smoothed using a 6mm FWHM Gaussian filter. Participants were excluded
from analysis if >30% of scans showed incremental movement >1 mm or incremental rotation
>1°, or if >30% of scans showed absolute movement from baseline >5 mm or absolute rotation
>5°. We chose to use more liberal motion criteria based on previous papers in anxious youth
who tend to have greater movement (Price et al., 2014). Results of additional analyses with
19
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
more stringent motion criteria are reported in Table 4. Raw BOLD signals were converted to
percent change from the median of the three runs for each voxel, allowing us to scale the data to
a similar baseline across three runs (Price, Paul, Schneider, & Siegle, 2013). Given that BOLD
hemodynamic responses can vary based on task and/or brain regions (Handwerker, Ollinger, &
D'Esposito, 2004), we did not apply the convolution of the hemodynamic response function
because the long duration of each trial enabled slow event-related model free analysis (as in
Price et al., 2014; Silk, Lee, Elliott, et al., 2017; Silk, Lee, Kerestes, et al., 2017).
ROIs were anatomically defined using AFNI's Talairach atlas and included the bilateral
anterior insula (in the area Y>0), sgACC (BA25), pgACC (BA24; defined in area Y>21) in the
rostral cingulate, and VLPFC (BA47). The amygdala region was anatomically defined by hand
tracing on the MNI Colin 27 brain (x, y, z = ±23, −4, −17) (as in Siegle, Thompson, Carter,
Steinhauer, & Thase, 2007). This region definition differs minimally from a Talairach Atlas
based version, with the primary differences being imposing a constraint of 1mm boundaries from
the medial and anterior boundaries of the subarachnoid space, ensuring the non-inclusion of periamygdaloid cortex, as well as exclusion of extended amygdala regions such as the bed nucleus of
the stria terminalis. Adequate intra- and inter-rater reliability for this definition has been
established in prior studies (Siegle, Steinhauer, Thase, Stenger, & Carter, 2002). See Figure 1 for
ROI illustrations.
BOLD signal within each a priori, anatomically defined ROI was extracted. For each
ROI, percent change values were averaged across all scans per physical threat word trial. Next,
the percent change value during the pre-stimulus baseline (scan 1 of each trial) was subtracted
from their respective trial average to create a physical threat > baseline contrast (as in Conner et
al., 2012; Mandell, Siegle, Shutt, Feldmiller, & Thase, 2014; Price et al., 2013; Siegle et al.,
20
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
2007). The physical threat>baseline percent change was averaged across all physical threat word
trials for each participant and used for final analyses in SPSS and Mplus 7.31 (Muthén &
Muthén, 2011). Mean percent signal change values which fell beyond the 1.5 interquartile range
from the 25th or 75th percentiles for each ROI were considered between-subject outliers. These
outliers were rescaled to the outlier cutoff value to reduce effects of extreme values (Erceg-Hurn
& Mirosevich, 2008). For exploratory purposes, whole-brain analyses were also completed
showing: 1) main effects of task conditions; and 2) effects of parental coping socialization
across the whole-brain. Results are presented in the supplement (see supplement section S1).
Although the condition of interest was physical threat > baseline, the specificity of
significant associations with physical threat word processing were assessed. To do so, we ran
two supplementary models. The first predicted physical threat > baseline ROI activations while
accounting for ROI activations from the neutral > baseline contrast. This allowed us to ensure
that any effects due to our variables of interest would be maintained above and beyond the
shared effects between neutral word processing and threat word processing. In the second model,
we re-ran the final model including neutral word > baseline mean activations for each ROI as
additional outcome variables. We would expect that associations between parenting and neural
response to neutral words (versus baseline) would emerge, in addition to any associations
between parenting and neural response to threat words, if parenting was generally related to
word processing, as opposed to threat-related processing specifically.
Analytical Plan
SPSS was used to complete preliminary analyses. Structural equation modeling (Mplus
7.31; Muthén & Muthén, 2011) was used for final analyses using robust full information
maximum likelihood (RFIML) estimation in a random effects model. RFIML estimation, in
21
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
conjunction with the creation of a single indicator latent variable using the observed parental
coping socialization data, allowed for the estimation of standard errors for missing data using
log-likelihood values, determined by available information in the model. Therefore, we were
able to complete analyses inclusive of the 14 participants (10 anxious, 4 controls) with missing
observational data. Preliminary SPSS analyses showed that participants with missing
observational data were mostly female (n=12), but did not differ in age, race, adolescent- or
parent-reported anxiety severity scores (p>.05).
Parental coping statements, child age, and diagnostic group observed variables were
centered. As mentioned above, a coping socialization latent factor was created, allowing the
single indicator (parental coping statements observed variable) to fully load onto the latent
factor, while constraining the indicator’s residual variance to zero. This preserves the
measurement of the observation data, while also enabling the utilization of the variance and
covariance of this indicator variable to estimate model results for the entire sample, including
those with missing data. Dependent variable data points (i.e., mean signal activation to threat)
were found to have very small variances. Therefore, these were multiplied by 10 to ensure that
deviations in variances and standard errors were not missed due to rounding estimations in
MPlus. We first conducted exploratory analyses to assess for the effects of adolescent age in the
model. In this model, interaction terms for coping socialization latent factor X group, coping
socialization latent factor X age, and group X age were created. A 3-way interaction term was
also created for coping socialization latent factor X age X group. Each ROI activation was
regressed on child age, group, the coping socialization latent factor, and all interaction terms in a
single SEM model.
22
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
If interaction terms including adolescent age were not significantly associated with neural
response to physical threat in any ROI, they were not included in the final model for parsimony.
Within the final model, we corrected for the number of ROIs assessed using the false discovery
rate correction (FDR; Benjamini & Hochberg, 1995). Because our main hypotheses tested
whether the relationship between parenting and neural response to threat differed based on
adolescent clinical status, we used the significance tests for these coefficients to control for
multiple comparisons. All parental coping socialization X group interaction-term significance
statistics (i.e. p-values) from the SEM model were entered into an FDR correction calculator
which calculated FDR-significance thresholds and FDR-adjusted p-values (a.k.a. q-values). If the
FDR-adjusted p-value was less than its corresponding FDR-significance threshold, then the
result was considered to pass the test for multiple comparisons. If significant interaction effects
passed FDR correction (error rate p<.05), the interactions were probed using two individual,
within-group (anxious, controls) models.
Post-hoc, within-group analyses used an SEM modelling approach to assess coping
socialization, ROI activation, and adolescent disengaged coping associations for anxious and
control groups, separately. As in the initial full model, a single indicator (coping socialization)
latent factor was used. Adolescent age was entered as a predictor in the model. Five participants
did not report a negative event with distress levels of 3 or more and two participants had missing
data, leaving a total of 113 individuals with reports of at least one negative event with distress
level of 3 or more. Given the use of the SEM analytical approach and its ability to handle
missing data, we were able to include all participants in the analyses. Based on available EMA
data, avoidance/suppression and distraction coping variables were significantly and positively
correlated within both groups (anxious: n=83; r=.360, p=.001; control: n=30; r=.672, p=.000).
23
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
Avoidance/suppression and distraction coping variables from the EMA data were therefore used
as indicator variables to create a single “disengaged coping” latent factor. The
avoidance/suppression and distraction indicator variables were allowed to fully load onto the
latent factor. Therefore, only variance that is shared with between the two strategies would load
onto the latent factor. Residual variances of the indicator variables were allowed to freely vary.
For each group, we regressed coping socialization on ROI variables found to have significant
interaction effects in the initial full model. Models were run using standard maximum likelihood
estimation and bias-corrected bootstrapping with 5000 samples. Utilizing a bootstrapping
procedure allowed us to probe for indirect effects of parental coping socialization on adolescent
coping through ROI activation and ensured the estimation of stable parameter estimates in
models with lower sample sizes. Model fit for these post-hoc models were evaluated using
standard fit indices and cutoff criteria [2, p>.05; RMSEA<.05; CFI/TLI>.95; SRMR<.08).
Unstandardized parameters and bias-corrected bootstrapped confidence intervals (CI, upper
2.5%, lower 2.5%) were used to determine significance of path estimates for these models.
Results
Preliminary Analyses
Descriptive statistics for all ROIs are reported in Table 2. All ROIs were significantly and
positively correlated with each other. There were no significant bivariate correlations between
gender, socioeconomic status (i.e. total household income), or race and ROI activation or coping
socialization (p’s>.05), therefore these were left out of models for parsimony (Table 3 for
correlations). Adolescent age was correlated with the parental coping socialization observed
variable (r=-.248, p=.01). Based on results from the exploratory model, adolescent age was not
shown to moderate the effects of parental coping socialization (Bs = -.048-.066, SEs =.043-.066,
24
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
p’s >.05) or diagnostic group (Bs = -.157-.042, SEs = .075-.111, p’s >.05) on neural response to
threat in any ROI. Parental coping socialization X group X age interaction effects were also nonsignificant (Bs = -.030-.169, SEs =.096-.144, p’s >.05). A significant main effect of child age
was found on pgACC response to threat (B=.084, SE=.038, p=.027). Therefore, age was
included as a covariate in all final models. We also re-ran the model to assess effects of pubertal
status, in place of age, which yielded no main or interaction puberty-related effects on neural
response to threat (p’s>.05). Given that significant effects due to interactions with adolescent age
or puberty were not found in the exploratory models, these were dropped from the final full
model and within-group post-hoc models for parsimony. Parental coping socialization did not
differ between groups (t=1.095, p=.276).
ROI Analyses
Full model (Table 4). Greater parental coping socialization was exhibited with younger
adolescents (B=-.279, SE=.121, p=.021). No significant main effects of either parental coping
socialization or diagnostic group on neural response to threat (relative to baseline) in any ROIs
were found (p’s>.05). Adolescent age was significantly associated with response to threat in the
pgACC (B=.079, SE=.037, p=.034). Controlling for multiple comparisons, significant coping
socialization X group interaction effects were found in the bilateral anterior insula (L: B=-.432,
SE=.159, p-FDR threshold<.007; R: B=-.417 SE=.171), p-FDR threshold <.019), and pgACC (B=-.429,
SE=.169, p-FDR threshold <.013; see Figure 2 for interaction illustration and participant data points).
Results of the specificity analyses showed that significant interaction effects were maintained
with regard to physical threat word processing when controlling for activation to neutral word
processing. Furthermore, no significant effects of parental coping socialization X group were
25
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
found with regard to neural processing of neutral words when added as outcomes to the model
(details in Supplement S2, Tables S2.1 and S2.2).
There was one participant with an outlier data point for parenting, therefore we re-ran the
model treating the parenting data point for this participant as a missing data point. Excluding this
data point from analyses did not yield significantly different results from the original models.
Parenting coping socialization X group effects still remained in the bilateral anterior insula (L:
B=-.428, SE=.167, p=.010; R: B=-.440, SE=.174, p=.012) and pgACC (B=-.457, SE=.174,
p=.008). Therefore, the final results are based on fully available original parenting data.
Post-hoc within anxious group model (Figure 3a). Within the anxious group, the posthoc model probing interaction effects evidenced excellent fit (2 (4)=2.65, p=.62; RMSEA=.00;
CFI=1.00; TLI=1.00; SRMR=.022). No significant associations were found between adolescent
age and coping socialization or adolescent coping (p’s>.05). Controlling for adolescent age,
coping socialization was positively associated with activation to threat stimuli in the anterior
insula (L: β=.368, B=.255, (.078), p=.001; R: β=.303, B=.217 (.084), p=.010) and the pgACC
(β=.292, B=.220 (.083), p=.008). Adolescent disengaged coping was also independently
associated with ROI activations in the anterior insula (L: β=-.308, B=-1.316 (.631), p=.037; R:
β=-.283, B=-1.258 (.633), p=.047) and the pgACC (β=-.364, B=-1.695 (.714), p=.018).
Although, coping socialization was not significantly associated with adolescent coping (r=.105,
B=.011 (.018), p=.532), given the independent effects found between ROI activations and both
coping socialization and adolescent coping, indirect effects of coping socialization on adolescent
disengaged coping through neural activation in the bilateral anterior insula and pgACC were
tested. Unique contributions of indirect paths were tested for each ROI independently. Results of
bootstrapping showed significant indirect effects through the left anterior insula (β=-117, B=-
26
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
.019 [CI: -.060, -.002]), the pgACC (β=-.106, B=-.017 [CI: -.056, -.001]), and a trend through the
right anterior insula (β=-.085, B=-.014 [CI: -.047, .000]).
Given the high correlations found between these three regions (r’s=.627-.787), we also
tested whether significant indirect effects could be due to the shared variance among all three
brain regions during threat word processing. This was tested by allowing the variances of neural
activation from the bilateral anterior insula and the pgACC to freely load onto a single latent
factor for neural threat processing. The neural threat processing latent factor was regressed onto
parental coping socialization, controlling for adolescent age. The adolescent coping latent factor
was next regressed onto the neural threat processing latent factor. Again, bias-corrected
bootstrapping was conducted to test for indirect effects. This model evidenced excellent fit
(2(10)=10.84, p=.37; RMSEA=.03; CFI=1.00; TLI=.99; SRMR=.04). Results showed that coping
socialization was significantly and positively associated with the neural threat processing latent
factor (β=.351, B=.213 [CI: .073, .357]). The neural threat processing latent factor was also
significantly and negatively associated with adolescent disengaged coping (β=-.438, B=-.129
[CI: -.292, -.021]). When accounting for neural threat processing, parental coping socialization
was not significantly associated with adolescent coping (β=.268, B=.048 [CI: -.015, .128]). The
model showed support for a significant indirect effect of parental coping socialization on
adolescent disengaged coping through the neural threat processing latent factor (β=-.154, B=.028 [CI: -.077, -.004]).
Post-hoc within control group model (Figure 3b). Within the control group, the posthoc model examining interaction effects evidenced good fit (2(4)=4.86, p=.30; RMSEA=.08;
CFI=.99; TLI=.97; SRMR=.24). Adolescent age was not significantly correlated with adolescent
coping (p>.05), but was negatively correlated with parental coping socialization (r=-.512, B=-
27
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
.651 (.261), p=.013). Controlling for adolescent age, coping socialization was significantly and
negatively associated with activation to threat stimuli in the right anterior insula (β=-.608, B=.488 (.158), p=.002) and pgACC (β=-.517, B=-.421 (.164), p=.010), but not in the left anterior
insula (β=-.303, B=-.254 (.176), p=.150). No independent effects of adolescent disengaged
coping were found on any ROI activations (p’s>.05). Parental coping socialization was not
significantly associated with adolescent coping (r=-.097, B=-.020 (.042), p=.627). Because there
were no independent effects found between ROI activations and adolescent coping, indirect
effects through neural activation in ROIs were not tested.
Discussion
When parents use coping socialization strategies that encourage youth to face challenges
and help them to reframe perceived threats, positive adolescent adjustment is more likely,
including lower internalizing symptoms and better treatment response among anxious
adolescents (Morris et al., 2007; Silk et al., 2013). With the use of laboratory observations,
findings from the current study indicate that engagement-oriented coping socialization behaviors
are also associated with early-adolescents’ neural activity in neural regions associated with threat
processing, including the anterior insula and pgACC. Contrary to theory positing differences in
how parents of anxious youth might respond to their children’s affect in challenging situations,
we found no evidence in the current sample that parents of anxious adolescents utilize less
coping socialization behaviors, compared to parents of healthy adolescents, during anxietyprovoking interactions with their adolescents. However, we did find that the relationship between
coping socialization and early-adolescent neural activity during threat processing differed
between anxious and non-anxious youth. Furthermore, we found evidence suggesting that greater
parental coping socialization was indirectly associated with lower reliance on disengaged coping
28
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
strategies in response to negative daily events through greater activation in the bilateral anterior
insula and pgACC activation. Although parenting was associated with neural activation to threat
in healthy youth, the indirect effects were specific only to the group of anxious youth. Overall,
the results of this study provide novel evidence that specific engagement-oriented coping
socialization behaviors and verbalizations made by parents to help scaffold adaptive coping in
early-adolescence are associated with both neural activity to threat-related information and levels
of adolescent disengaged coping in the real world.
In this sample, parents of anxious youth were observed to provide the same level of
engagement-oriented coping socialization during interactions as parents of healthy adolescents.
Therefore, we did not find support for the theory that parents of anxious youth may be less
inclined to encourage their youth to reframe, problem-solve, and face fearful situations.
However, our results suggest that youth who exhibit greater reactivity, including those with
anxiety, may be more responsive to or reliant upon their parents’ behaviors to help guide their
own behavior, than less reactive youth. Anxious adolescents whose parents exhibited more
coping socialization showed higher anterior insula and pgACC activation in response to threat
stimuli. Interestingly, these neural patterns of activation were directly related to less adolescent
disengaged coping. In addition, parental effects of coping socialization were indirectly associated
with disengaged coping behavior in early-adolescents through both the unique and shared effects
of activation in the anterior insula and pgACC. The anterior insula is a functionally complex
brain region that has been implicated in a diverse range of cognitive control and emotional
processes (Uddin, Kinnison, Pessoa, & Anderson, 2014). For example, the anterior insula has
been associated with increased visceral response, and awareness and experience of emotion
(Singer et al., 2009), while it has also been shown to play an important role in the integration of
29
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
information and assisting cognition by supporting flexibility of neural engagement of various
brain networks, such as the executive network and the default-mode network (Uddin et al.,
2014). The pgACC has also been associated with emotion regulation, including perception of
social/physical pain and fear extinction, and is also densely connected with many brain areas,
including the anterior insula (Etkin et al., 2011; Posner et al., 2007).
Our results could indicate that as early-adolescents with anxiety are exposed to greater
scaffolding by parents’ coping socialization behaviors, greater anterior insula and pgACC
engagement might be reflecting both heightened and likely aversive emotional reaction in
response to threat and greater recruitment of neural regions that support cognitive control
processes in response to threat stimuli. A few studies have also found that anxious adolescents
may rely more heavily on neural regions implicated in regulation during threat processing,
compared to healthy youth (McClure, Monk, Nelson, & et al., 2007; Monk et al., 2008; Telzer et
al., 2008). Our findings may similarly suggest that anxious adolescents who recruit both the
anterior insula and pgACC tend to rely less on disengagement coping strategies in response to
negative events. Interestingly, our results showed that there were indirect effects of parenting on
early-adolescent coping through the shared variance among these regions during threat
processing. This could indicate that, not only are there unique effects for each of these neural
regions, but importantly there is a shared underlying process through which all three of these
regions may similarly contribute to both process threat and lower anxious adolescents’ reliance
on disengaged coping. Furthermore, teaching youth to engage with threatening challenges is a
major objective of CBT treatment for anxiety (Chu & Harrison, 2007). Silk and colleagues
(2013) have shown that parental encouragement to approach fears leads to better CBT treatment
outcomes in anxious adolescents. It is thus possible, given our results, that activation of the
30
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
anterior insula and/or the pgACC may be involved in this process. Indeed, higher pre- and posttreatment insula activation during threat processing in anxious adults and adolescents has also
been related to better brief-CBT and mindfulness-based CBT response, respectively (Reinecke,
Thilo, Filippini, Croft, & Harmer, 2014; Strawn, Cotton, et al., 2014). It therefore may be that
similar cognitive processes targeted during CBT therapies are also supported by coping
socialization that encourages engagement-oriented coping.
In contrast to the findings for anxious adolescents, we found that as parents of healthy
youth exhibited more coping socialization, these early-adolescents showed lower anterior insula
and pgACC reactivity to threat, though no associations between brain function and adolescent
coping in daily life were found. Given the role of the anterior insula in both emotional and
cognitive processes (Uddin et al., 2014), it may be that when healthy youth are exposed to
greater levels of coping socialization, threat words are not perceived as salient and/or as
threatening, decreasing the need for insula engagement. Furthermore, the pgACC has been
associated with emotion regulation, including perception of social/physical pain and fear
extinction, and it is also densely connected with limbic brain areas, including the anterior insula
(Etkin et al., 2011; Posner et al., 2007). Thus, in the current study, lower pgACC activation in the
healthy adolescents exposed to more coping socialization may reflect less need to recruit pgACC
to extinguish threat processing. Alternatively, work in cognitive developmental neuroscience
has supported that as neural processes mature, they become more focal (Luna et al., 2010).
Consequently, an alternative interpretation could be that the reduced activation of the anterior
insula and pgACC in healthy adolescents, whose parents exhibit more engagement-oriented
coping socialization, reflects more efficient threat processing. These hypotheses would need to
be tested further in future studies.
31
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
Despite the strengths of the current study, there were several limitations. The study was
limited by the small size of our control sample, as anxious youth were oversampled due to the
treatment study design. We were also not able to assess ethnic differences because the sample
used in the study was primarily Caucasian. It is also important to note that the group of earlyadolescents with anxiety in this sample had to meet strict inclusion criteria to be accepted into
the larger child anxiety treatment study. Consequently, the youth included in this study had lower
rates of comorbidity than is typically seen in anxiety studies. It will be important for future work
to extend these investigations using adolescent samples who have higher rates of comorbid
diagnoses.
Although the aim of the current study was to elucidate the ways in which parental coping
socialization might impact the functioning of neural regions supporting threat processing in
healthy and anxious early-adolescents, neither causation nor directionality could be inferred as
this study was cross-sectional. Researchers might consider employing an experimental design in
future studies, in which adolescents are presented with parental coping socialization statements
that encourage both approach and avoidance of threat while in the scanner. This could possibly
enable the investigation of more real-time, moment-to-moment differences in brain response to
threat stimuli directly following specific parental coping socialization prompts. Importantly, we
also acknowledge the important consideration of bi-directional parent-child effects. Previous
research has shown that child characteristics, such as fearful and irritable temperament, can
predict later parenting behavior (e.g., acceptance and use of discipline) (Lengua & Kovacs,
2005). Therefore, it is possible that parental behaviors may have been driven by child
characteristics, such as reactivity in the anxious sample. For example, results in this study could
be interpreted as suggesting that anxious youth who have greater neural reactivity to threat might
32
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
elicit more coping socialization behaviors from their parents. Future research using observational
methods should examine whether anxious adolescents actively seek support from their parents or
if parents initiate support without adolescent prompting. This could help to shed more light on
the directionality of parent-adolescent behaviors.
In addition, our fMRI task included a relatively low number of trials per condition,
possibly increasing the signal-to-noise ratio. The task also did not require adolescents to actively
down-regulate negative affect through prescribed strategies, such as reappraisal. Future work
might focus on how the effects of parental coping socialization could affect neural activation in
prefrontal cortical regions implicated in voluntary emotion regulation and reappraisal processes,
including the dorsolateral prefrontal cortex and the posterior parietal lobe (Buhle et al., 2014).
Finally, we utilized relatively liberal motion correction criterion to retain the largest sample size
and maximize the power to test the study hypotheses. It is important to note that in addition to
absolute motion correction parameters, we did also exclude participants that showed incremental
movement using a conservative threshold (>1 mm or >1°). Relatively lenient absolute motion
correction criteria is somewhat commonly used in other studies examining neural activation in
younger, clinical samples (for examples, see Forbes, Phillips, Silk, Ryan, & Dahl, 2011; Price et
al., 2016), though more effective participant training and simulation procedures should be used
in future studies examining neural activation in similar samples of early-to-mid-adolescents from
clinical populations.
In sum, the findings from this study show that parenting behaviors that help youth learn
to cope are related to patterns of neural activation associated with processing of threat-related
information during early-adolescence. This suggests that parents have the potential to engage in
specific strategies that may scaffold the adolescent brain to effectively process threat and cope
33
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
with future challenges. Findings specific to anxious youth indicate that the ways in which parents
socialize engagement-oriented coping is related to lower adolescent reliance on potentially
maladaptive disengaged coping strategies through the functioning of particular neural regions
(i.e., anterior insula and pgACC) during threat processing. This suggests that incorporating
parent-coaching modules that teach parents how to socialize engagement-oriented coping
strategies in the home could potentially improve treatment outcomes for clinically anxious earlyadolescents through shifts in the adolescents’ threat processing (Ginsburg & Schlossberg, 2002).
Researchers should consider investigating this through longitudinal family-based intervention
designs that also incorporate neuroimaging at multiple timepoints. In addition, future studies may
help to increase our understanding of the relative effectiveness of each parenting behavior in
scaffolding adaptive coping in anxious youth by assessing the effects of coping socialization
behaviors separately, rather than collectively as in the current study.
34
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
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41
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
Table 1. Adolescent participant demographic and clinical characteristics by group
Anxious (n=87)
Control (n=33)
t-statistic/2
Age [M (SD)]
11.36 (1.45)
11.74 (1.68)
1.24
Gender (% F)
60.9
54.5
.402
Race (%)
8.84*
White (non-Hispanic)
89.7
69.7
Black
4.6
18.2
Hispanic
1.1
6.1
Biracial
4.4
6.0
Family income ($k) [M (SD)]
89.40 (78.34)
73.22 (38.16)
-.84
SCARED [M (SD)]
Adolescent report
38.54 (11.69)
9.93 (7.71)
-12.81***
Parent report
35.41 (12.38)
3.44 (3.05)
-14.41***
Anxiety Diagnosis (%)
120.00***
Generalized anxiety disorder
70.5
0
Social anxiety disorder
27.3
0
Separation anxiety disorder
20.5
0
Panic disorder
2.2
0
Specific phobia
9.1
0
Comorbid Diagnosis (%)
Major depressive disorder
1.1
0
Tourette syndrome
1.1
0
Attention deficit hyperactivity disorder a
3.4
0
Oppositional defiant disorder
1.1
0
Enuresis
1.1
0
Other
2.2
0
Negative events reported with > 3 distress
8.58 (3.71)1
6.33 (3.94)2
2.90**
[M (SD)]
Suppression/avoidance use
.70 (.30)1
.60 (.39)2
.61
[proportion of negative events, M (SD)]
Distraction use
.46 (.27)1
.42 (.33)2
1.34
[proportion of negative events, M (SD)]
Parental Coping Socialization
1.20 (.81)3
1.01 (.74)4
1.095
[RPM; M (SD)]
*p<.05, **p<.005, ***p<.001; a Inattentive subtype; 1 n=85; 2 n=30; 3 n=77; 4 n=29; Note: SCARED=Screen for
Child Anxiety Related Disorders, RPM=Rate/minute, ROI=Regions of interest, L=Left, R=Right;
sgACC=Subgenual anterior cingulate, pgACC=Perigenual anterior cingulate, VLPFC=Ventrolateral prefrontal
cortex
42
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
Table 2. Descriptive statistics for ROI BOLD activation by group
ROI Percent Change [M (SD)]
Amygdala L
Amygdala R
Anterior Insula L
Anterior Insula R
sgACC
pgACC
VLPFC L
VLPFC R
Anxious (n=87)
Control (n=33)
t-statistic/2
-.00027 (.073)
.00055 (.075)
.01791 (.056)
.02245 (.059)
-.00609 (.077)
-.00625 (.061)
.00648 (.048)
.01602 (.059)
-.01849 (.075)
-.01356 (.067)
.01084 (.065)
.01910 (.063)
-.01979 (.072)
-.01344 (.064)
.00303 (.055)
.02271 (.060)
1.21
.949
.586
.274
.889
.566
.337
-.548
43
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
Table 3. Correlations of adolescent characteristics and neural ROIs across full sample (N=120)
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
1.
Gender
2.
Race
-.024
1
3.
Household
Income
-.196
-.084
1
4.
Age
-.111
-.032
.041
1
5.
L
Amygdala
.121
-.014
.080
.051
1
6.
R
Amygdala
.092
.017
.114
.024
.849**
1
7.
L Anterior
Insula
-.029
.040
.114
.055
.668**
.563**
1
8.
R Anterior
Insula
.010
.074
.077
.075
.649**
.629**
.813
1
.085
.070
.010
.137
.680**
.633**
.522**
.512**
1
-.124
.046
.033
.198*
.526**
.481**
.700**
.700**
.560**
1
11. L VLPFC
(BA47)
-.077
-.004
.046
.104
.700**
.631**
.752**
.742**
.643**
.716**
1
12. R VLPFC
(BA47)
-.047
.013
-.059
.111
.649**
.662**
.634**
.754**
.631**
.644**
.864**
Subgenual
Cingulate
(BA25)
10. Perigenual
Cingulate
(BA24)
12.
1
9.
*p<.05, **p<.001; Note: L=left, R=right, BA=Brodmann area, VLPFC=ventrolateral prefrontal cortex
1
44
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
TABLE 4. Unstandardized effects of parental coping socialization on neural activity to physical threat words
(relative to baseline), controlling for adolescent age (N=120)
p-FDR Adjusted
B
SE
p-uncorr
(i.e. q-values)
Amygdala (L)
Age
Parental coping socialization
Group
Parental coping socialization x Group
Amygdala (R)
.030
.022
-.200
-.142
.046
.097
.151
.227
.523
.820
.185
.531
.531
Age
Parental coping socialization
Group
Parental coping socialization x Group
Anterior Insula (L)
.005
-.044
-.162
-.191
.046
.093
.149
.206
.908
.631
.276
.354
.405
Age
Parental coping socialization
Group
Parental coping socialization x Group
Anterior Insula (R)
.024
.109
-.093
-.432a,b
.036
.072
.119
.159
.503
.131
.439
.007
.040
Age
Parental coping socialization
Group
Parental coping socialization x Group
Subgenual Cingulate (BA25)
.026
.066
-.062
-.417a,b
.037
.076
.122
.171
.473
.385
.614
.015
.040
Age
Parental coping socialization
Group
Parental coping socialization x Group
Perigenual Cingulate (BA24)
.064
.022
-.185
-.394
.046
.097
.153
.213
.165
.824
.228
.064
.128
Age
Parental coping socialization
Group
Parental coping socialization x Group
Ventrolateral prefrontal cortex (L; BA47)
.079
.060
-.122
-.429a
.037
.075
.124
.169
.034
.423
.329
.011
.040
Age
Parental coping socialization
Group
Parental coping socialization x Group
Ventrolateral prefrontal cortex (R; BA47)
.036
.058
-.054
-.222
.031
.065
.102
.151
.249
.373
.593
.140
.187
Age
.035
.037
.347
Parental coping socialization
.016
.078
.833
Group
.036
.122
.765
Parental coping socialization x Group
-.292
.179
.104
.166
a
Note: L=left, R=right, BA=Brodmann area; Standardized coefficients were comparable when imaging data was
dropped if: >10% scans had absolute movement from baseline >5 mm/5°; b Standardized coefficients were
comparable when imaging data was dropped if: >30% scans had absolute movement from baseline >2 mm/2°
45
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
Figure 1. Masks of anatomically defined regions of interest. (a) bilateral amygdala, (b) bilateral
anterior insula, (c) subgenual cingulate cortex (BA25), (d) perigenual cingulate cortex (BA24);
(e) bilateral ventrolateral prefrontal cortex (BA47).
46
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
Figure 2. Significant parental coping socialization statement use X clinical group interaction
effects on ROI activation for physical threat>baseline contrast are illustrated for participants with
full data available (n=106). Panel: a) left anterior insula, b) right anterior insula, and c) pgACC
(BA24). Note: Regression statistics shown for each interaction effect were estimated in the final
SEM model which included the full sample (n=120); pgACC=perigenual cingulate.
47
PARENTING AND ADOLESCENT NEURAL RESPONSE TO THREAT
Figure 3. Post-hoc, within-group SEM models, including standardized beta coefficients, for: a)
anxious adolescent group, b) healthy adolescent group. Note: t<.10; Solid lines=significant paths
(pFDR<.05), Dashed lines=non-significant paths; pgACC=perigenual cingulate cortex.