Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 Dec 11.
Published in final edited form as: Curr Behav Neurosci Rep. 2019 Nov 6;6(4):188–196. doi: 10.1007/s40473-019-00194-1

Neurocognitive Processes Implicated in Adolescent Suicidal Thoughts and Behaviors: Applying an RDoC Framework for Conceptualizing Risk

Jeremy G Stewart 1,, Lillian Polanco-Roman 2,3,, Cristiane S Duarte 2,3, Randy P Auerbach 2,3,4,*
PMCID: PMC7731660  NIHMSID: NIHMS1541920  PMID: 33312840

Abstract

Purpose of Review

Identifying risk factors for STBs during adolescence is essential for suicide prevention. In this review, we employ the Research Domain Criteria (RDoC) framework to synthesize studies on key neurocognitive processes—cognitive control, reward responsiveness/valuation, and negative urgency—relevant to adolescent STBs.

Recent Findings

Within subdomains of Cognitive Control, studies of inhibition/suppression and updating/maintenance were mixed, while response selection (i.e., decision-making) deficits were consistently associated with suicide attempts. Fewer studies, by comparison, have probed the Positive Valence Systems. Relative to healthy controls, adolescents with prior STBs may show a blunted neural response to rewards and value rewards less, but findings require replication. Finally, negative urgency, which may span subdomains within both Cognitive Control and the Positive Valence Systems, was associated with recent suicide attempts in the only study to directly test this association.

Summary

Few studies have examined neurocognitive functioning in relation to adolescent STBs, despite the relevance of this research to detecting suicide risk. We recommend that future studies incorporate developmental contexts relevant to both neurocognitive processes and STBs.

Broadly, cognitive control is associated with activation of the prefrontal cortex (PFC) and its interaction with other brain areas (e.g., reward and motor regions) [32]. Functional magnetic resonance imaging (fMRI) studies using emotional stimuli have provided evidence of abnormalities in neural regions supporting cognitive control among youth with STBs. [33] computed neural activation corresponding to viewing angry faces (relative to a fixation cross) in a sample of depressed youth. They found that, relative to non-attempters, attempters had: (a) increased activation in the right anterior gyrus and dorsolateral PFC and (b) reduced functional connectivity between the anterior cingulate gyrus and bilateral insulae. Relatedly, youth with bipolar disorder and a history of suicide attempts showed reduced functional connectivity between the amygdala and the left ventral PFC while viewing emotional (happy, fearful) and neutral faces compared to patient non-attempters [34]. The findings indicate that attempters may have problems regulating and appropriately deploying attention, as well as planning and executing behavioral responses, in emotional contexts.

Keywords: RDoC, Suicide, Cognitive Control, Reward Responsiveness, Negative Urgency

Introduction

Suicide is the second leading cause of death among children, adolescents, and young adults [1]. As rates of suicidal thoughts and behaviors (STBs) surge in adolescence [2], identifying risk factors during this developmental stage is essential for preventing suicide. Few suicide theories, however, explicitly relate to adolescents [3], and research has generally applied a downward extension of adult models to youth. Although this may be helpful, it may limit the identification and understanding of processes uniquely linked to STBs among adolescents, or that play a more central role in youth suicides.

Decades of suicide science has shown that oft-examined demographic and clinical characteristics do not predict suicide-related outcomes much above chance [4]. Consequently, to improve the prevention of STBs, there has been a call to examine novel, transdiagnostic suicide risk factors [57]. The Research Domain Criteria (RDoC) provides a framework focusing on dimensions that cut across psychiatric symptoms and represents constructs at multiple units of analysis. Thus, it has immense promise for uncovering novel risk factors that may be translated to targets for prevention and intervention efforts.

The goal of this review is to apply the RDoC framework to catalogue and synthesize prior studies on key neurocognitive processes that are relevant to STBs in youth. We focus on three broad neurocognitive processes—cognitive control (Cognitive Systems), reward responsiveness/valuation (Positive Valence Systems), and negative urgency (Cognitive Systems; Positive and Negative Valence Systems). These processes are reviewed because their associations with STBs have been conceptualized within suicide theories [810], and there is a growing corpus of empirical work in adolescents (see Table 1). We end by summarizing developmental considerations and future directions to move research in these areas forward.

Table 1.

The association between deficits in neuropsychological processes and suicidal thoughts and behaviors (STBs) among youth

RDoC Construct Subconstruct Measure Positive Findings Null Findings
Cognitive Control Inhibition/Suppression Stop Signal Task [17] [19]
Go/No-Go [16] [18]
Classic Stroop [17] [21]
Suicide Stroop Task [15]
Flanker [22]
Updating, Representation, and Maintenance Continuous Performance Task [25] [17, 21,
26]°
Response Selection Iowa Gambling Task^ [28, 29] [30]

Positive Valence Systems Anhedonia+ Questionnaires [3638] [15, 39, 40]
Reward Responsiveness Reward Positivity to Winning versus Losing Money [45, 46]
Reward Valuation Effort-Cost Computation Task [36]
Two Choice
Impulsivity
Paradigm§
[16, 18]

Note: RDoC = Research Domain Criteria.

°

Both [17] and [26] found evidence that commission errors on a continuous performance task was associated with suicide attempts among youth with histories of childhood maltreatment; however, the main effects in the full samples were non-significant.

^

One study ([30]) used the Cambridge Gambling Task, which is very similar to the Iowa Gambling Task.

+

According to the RDoC, anhedonia is classified in the Positive Valence Systems as a “nonspecific” subconstruct

Four of the studies listed in this section ([15, 36, 39, 40]) used the Snaith-Hamilton Pleasure Scale. The remaining two studies used an anhedonia scale drawn from widely-used measures of depressive symptoms: the Children’s Depression Scale [37] and the Reynolds Adolescent Depression Scale – 2nd Edition (RADS-2) [38].

§

The Two Choice Impulsivity Paradigm measures delay-discounting. In these studies, relative to non-attempters, attempters showed greater delay-discounting. This suggests that they are less willing to expend the effort of waiting for a reward; this is consistent with evidence from the Effort-Cost Computation Task [36].

Cognitive Control

Cognitive control reflects a suite of abilities that allow an individual to adapt their thoughts, attention, and/or behavior to achieve goals. Specific functions include inhibiting poor responses, selecting, updating and sustaining attention on goals, and selecting optimal responses given one’s goals (e.g., decision-making). Collectively, cognitive control abilities are critical for problem-solving and future planning, and deficiencies in these functions are implicated in several leading suicide theories. For instance, escape theories propose that, for some, negative life events generate intolerable emotional distress. When this aversive state is coupled with poor cognitive control, individuals cannot produce or execute effective coping strategies, making suicide seem like the only way to relieve one’s distress [1113]. Recently, ideation-to-action frameworks (see [14]) have suggested that the predictors and correlates of suicidal ideation—such as emotional pain and distress—are likely distinct from factors that drive the transition to suicide attempts among ideators. Consistent with these frameworks, we [15] and others have proposed that deficits in cognitive control may be uniquely associated with attempts, even among ideators.

Inhibition and Suppression

Of the subconstructs within the RDoC’s Cognitive Control construct, inhibition and suppression, has been most extensively investigated in the context of adolescent STBs. Inhibition requires that one override or suppress a prepotent, overlearned, and/or typical response. Behavioral tasks that capture inhibition require that participants respond to target stimuli as quickly as possible, but withhold responses under specific conditions (e.g., Stop-Signal; Go/No-Go). Poor inhibition is reflected in more commission errors or failure to withhold responses when one is signaled to do so. Two studies using Stop-Signal and Go/No-Go Tasks, respectively, found a significant association between poorer inhibition (i.e., more commission errors) and suicide attempts among mid-to-late adolescents [16,17]. In contrast, two other studies found no differences in inhibition between attempters and non-attempters in clinical samples [18,19]. These mixed results may be partly due to heterogeneity in sample characteristics (hospitalized females [18]; offspring of depressed parents [17]; male and female self-injurers [16]; depressed outpatients [19]) and/or limited statistical power in three of four cases (ns per group < 32). Further work is warranted to identify subgroups of adolescents for whom disinhibition may be linked to suicidal behavior.

Interference suppression tasks (e.g., Flanker, Stroop) also require inhibition, as well as focused attention on task relevant stimuli. For instance, in the classic Stroop, participants name the color in which words are printed (task goal), while ignoring word content (task-irrelevant information) that can either be congruent (e.g., “green” written in green ink) or incongruent (e.g., “green” written in red ink) to the goal. Interference is the extent to which reaction times (RTs) are slower on incongruent relative to congruent trials. Adult research consistently shows interference suppression deficits among suicide attempters relative to healthy and psychiatric controls (e.g., [20, 21]); however, the few adolescent studies have been mixed. Among adolescents with a history of a mood disorder, poorer interference suppression was associated with higher odds of a prior suicide attempt [17], but this effect was non-significant among currently depressed adolescents [21]. Further, first-degree relatives of adolescent suicide attempters—a group at elevated risk for suicide—did not show poorer interference suppression compared to relatives of healthy adolescents on a Flanker task [22].

Collectively, behavioral studies of inhibition/suppression and STBs among adolescents have focused on performance in neutral conditions. However, suicide theories suggest that disinhibition contributes to suicidal behavior when youth are distressed. We [15] used the Suicide Stroop Task (SST) [23] wherein words are emotional (negative, positive, and suicide-relevant) or neutral. We found that, relative to depressed adolescent suicide ideators, depressed attempters exhibited greater interference from emotional words (i.e., slower RTs to emotional versus neutral words). These findings suggest that adolescents at risk for suicide may have difficulty inhibiting or suppressing negative cognitions (e.g., dejection, hopelessness, and/or suicidal urges) in emotionally provocative situations, triggering attempts for some. However, a recent mega-analysis of SST studies [24], including the work described above [15], indicated that interference scores on the SST show poor internal consistency, pointing to a need to potentially refine this measure. Additional studies of adolescents’ inhibition and suppression abilities that employ emotional stimuli or that experimentally induce negative emotional states are critical for testing further hypotheses derived from suicide theory.

Updating, Representation, and Maintenance

The updating, representation, and maintenance subconstruct has been examined in the context of adolescent STBs using continuous performance tasks (CPTs). CPTs measure sustained attention on, and engagement with, a task goal (e.g., responding to targets embedded within many non-targets) for a long period of time without interruptions. An initial study of adolescent psychiatric inpatients found that, relative to non-attempters, attempters made both more commission errors and omission errors (i.e., failing to respond to a target) suggesting problems with goal maintenance and/or sustained attention [25]. Subsequent studies have failed to replicate this effect among depressed adolescent psychiatric patients [21, 26], or offspring of parents with mood disorders [17]. Despite these results, there is emerging evidence that goal maintenance and/or sustained attention may be associated with STBs in subgroups of adolescents reporting past or ongoing maltreatment. Among depressed adolescents, we found that CPT commission errors were associated with prior suicide attempts among those with a history of sexual abuse, but not those without [26]. Relatedly, Zelazny and colleagues [17] found that better sustained attention was associated with lower odds of suicide attempts, but this protective effect was not significant among adolescents with a history of maltreatment. Overall, the role of goal maintenance and/or sustained attention in adolescent STBs is unclear; given non-significant main effects, additional moderators (e.g., life stressors; emotion regulation) should be tested.

Response Selection

A tendency to make disadvantageous choices on behavioral tasks is characteristic of adult suicide attempters [10, 20], and across several adolescent studies, these findings replicate. Using the Iowa Gambling Task (IGT [27]), two studies have demonstrated that, relative to non-attempters, adolescent attempters chose the high-risk decks (i.e., possible gains and losses are both larger but result in net losses) more often overall [28, 29]. Further, adolescent non-attempters chose advantageous decks on a progressively greater number of trials over the course of the IGT, while attempters did not [28]. This pattern may reflect a reduced ability to draw on past experiences to guide future decision-making among attempters. Decision-making deficits of this nature may leave youth at risk for suicide ill-equipped to change or reappraise emotionally painful circumstances, making their pain seem permanent and increasing suicide risk. Interestingly, adolescent ideators with no history of attempts do not show disadvantageous decision-making relative to non-ideators [30]. To determine whether decision-making deficits are a specific marker of adolescent suicide attempts, versus ideation more generally, a critical next step is to compare these abilities in well-characterized clinical samples of ideators and attempters (see [31]).

Converging Neuroimaging Evidence

Broadly, cognitive control is associated with activation of the prefrontal cortex (PFC) and its interaction with other brain areas (e.g., reward and motor regions) [32]. Functional magnetic resonance imaging (fMRI) studies using emotional stimuli have provided evidence of abnormalities in neural regions supporting cognitive control among youth with STBs. [33] computed neural activation corresponding to viewing angry faces (relative to a fixation cross) in a sample of depressed youth. They found that, relative to non-attempters, attempters had: (a) increased activation in the right anterior gyrus and dorsolateral PFC and (b) reduced functional connectivity between the anterior cingulate gyrus and bilateral insulae. Relatedly, youth with bipolar disorder and a history of suicide attempts showed reduced functional connectivity between the amygdala and the left ventral PFC while viewing emotional (happy, fearful) and neutral faces compared to patient non-attempters [34]. The findings indicate that attempters may have problems regulating and appropriately deploying attention, as well as planning and executing behavioral responses, in emotional contexts.

Summary

Although mixed, studies suggest that poor cognitive control is associated with STBs among adolescents. The clearest effects in behavioral tasks are reduced interference suppression and poorer decision-making in attempters versus non-attempters, in line with adult findings [10]. As research has largely compared attempters and non-attempters, the degree to which cognitive control deficits are associated with suicide attempts, independent of ideation, is unknown. More generally, studies have used a range of paradigms to assess distinct aspects of cognitive control, typically in isolation. Using consistent operationalization of subconstructs within cognitive control, and measuring multiple subconstructs simultaneously, is critical for better characterizing deficits most relevant to adolescent STBs.

Reward

Anhedonia—difficulty experiencing pleasure—has been frequently examined in the context of STBs. From an RDoC perspective, anhedonia is classified in the Positive Valence System as a “nonspecific” subconstruct (i.e., not linked to a single RDoC construct; see [5]) and is associated with reduced reward responsiveness, learning, and valuation (see [35]). Consistent with escape theories of suicide [1113], scholars have proposed that anhedonia contributes to STBs because it is painful, experienced as intolerable, and viewed as unchangeable [36, 37].

In an early study of psychiatrically hospitalized children, more severe anhedonia was associated with greater suicide ideation and higher odds of an attempt; further, anhedonia was the only measured variable that differentiated ideators from attempters [37]. In line with these findings, higher anhedonia has been found to distinguish adolescent self-injurers with a history of attempts from those with no prior attempts [38] and depressed attempters from ideators [36]. However, these studies included modest samples of attempters, and effects have not been replicated in subsequent, larger studies (e.g., [15, 39, 40]). In light of these mixed results, future research may benefit from moving beyond a monolithic conceptualization of anhedonia (see [41]). Anhedonia reflects a group of affective, cognitive, and behavioral components; quantifying the unique contributions of each component to adolescent STBs may resolve discrepancies across studies and clarify which subcomponent of anhedonia is most strongly linked to suicide in youth.

Reward Responsiveness

Reward responsiveness reflects neural activity following reward receipt (e.g., monetary gains, social acceptance). A series of electroencephalogram (EEG) studies has probed an event-related potential (ERP) known as the Reward Positivity (RewP) elicited by monetary rewards and losses in the context of a guessing task [42]. The RewP is enhanced (more positive) to rewards versus losses, reflects early reward recognition/categorization (see [43]), and may be associated with enhanced activation in subcortical reward regions (e.g., [44]). In two studies, a blunted RewP (i.e., a smaller difference between response to rewards relative to losses) was found in: (a) children of suicide attempters (versus children of non-attempters) and (b) children with recent suicide ideation (versus clinical controls with no ideation) [45, 46]. Converging evidence from an fMRI study indicates that, relative to healthy youth, self-injuring adolescents (many with a history of suicide attempts) had reduced activation of the putamen, amygdala, and orbitofrontal cortex to cues indicating the possibility of winning money (subconstruct: reward anticipation) [47]. Taken together, these results suggest that reward responsiveness may be linked to STBs in youth, but studies that more precisely classify youth according to the nature of their STBs (e.g., ideators versus attempters versus clinically matched controls) are necessary to support firmer conclusions.

Reward Valuation

Reward valuation (i.e., computing probability and benefits of potential outcome) has been sparsely studied in the context of adolescent STBs. One exception is a study in which we [36] examined the behavior of depressed adolescent ideators and attempters on an effort-cost computation task (ECCT; [48]). In the ECCT, participants could choose an easy option (i.e., less effort) that yielded a small monetary reward or a difficult option for a larger reward. The probability of reward receipt was explicit and either 100% or 50% depending on the trial. Attempters were less willing to choose the difficult option than ideators, but only when rewards were uncertain. Further, while ideators were significantly more likely to choose the difficult option on trials proceeding winning money, attempters did not show this effect. Supporting our findings, relative to non-attempters, attempters may prefer to receive smaller value rewards sooner compared to larger rewards later (i.e., greater delay-discounting [16, 18]). Thus, attempters are less willing to expend the effort of waiting for reward. Taken together, adolescent attempters may not get the same hedonic benefit from rewards: they are less willing to work for them, wait for them, and do not use them to guide future choices. We speculate that these characteristics leave some youth mired in negative affect and that suicidal desire (and behaviors) may follow.

Summary

It is challenging to draw conclusions about the role reward deficits play in adolescent STBs because of the heterogeneity with respect to sample characterization (e.g., types of STBs) and methodology (e.g., self-report, behavioral tasks, neuroimaging). Mixed findings regarding relations among self-reported anhedonia and STBs signal an opportunity to systematically examine distinct aspects of reward processing within the same sample at multiple units of analysis. For instance, when coupled with EEG/ERP, the Monetary Incentive Delay Task (MIDT; [49]) can quantify behavioral (RT) and neural (cue-P3; RewP; feedback-related P3) indices of reward anticipation and initial response to reward. Further, computational modeling can be applied to neural and behavioral responses to the MIDT, yielding a reward prediction error value that captures one aspect of reward learning. Going forward, we encourage the use of methods that more comprehensively assess reward processing among youth with STBs.

Negative Urgency

Impulsivity is an umbrella term that, in its broadest sense, captures poor self-control, manifested in problems sustaining attention, acting without thinking things through, and an inability to delay gratification [50]. Models of trait impulsivity emphasize dysfunction in both cognitive control systems in the PFC and mesolimbic regions implicated in reward processing (see [51]). Thus, relations between impulsivity and STBs may reflect broader neurocognitive abnormalities spanning multiple RDoC domains, some which we have described.

In a recent meta-analysis, impulsivity showed modest concurrent associations with STBs, and effect sizes for predicting future suicidal behavior were near zero [52]. This has led some scholars to propose that negative urgency, a subtype of impulsivity that involves rash actions in the context of negative affect [53], may be more relevant to STBs than other forms of impulsivity [5456]. Among adolescents, indirect support for the link between negative urgency and STBs comes from the latter’s associations with mental disorders linked to high suicide risk, such as substance abuse disorders [57], eating disorders [58], and borderline personality disorder traits [59]. Further, we have found that general risky behaviors that are often linked to negative urgency (e.g., unsafe sex; truancy; physical fights; risky driving) are associated with suicide attempts [39, 60] among hospitalized adolescents.

To our knowledge, only one study has directly examined associations among negative urgency and STBs in youth. In a large sample of inpatients, we rigorously characterized impulsivity using a 3-factor model (i.e., negative urgency, lack of perseverance, reflexive negative thoughts; see [61]) and tested associations with STBs (i.e., ideation, plans, and attempts). We found that only negative urgency was associated with the frequency of suicide attempts in the past month, over and above the effects of suicide ideation and plans, psychiatric symptom severity, and the other two forms of impulsivity [62]. Thus, there is a potentially unique effect of negative urgency on suicidal behavior, which has implications for better understanding why some, but not all, ideators transition from suicidal thoughts to action—one of the foremost priorities in our field [31].

Converging Neuroimaging Evidence

It also is critical to elucidate the behavioral and neural processes that may subserve negative urgency, as doing so might point to early emerging processes that could act as prevention targets. Unfortunately, evidence for the potential neural correlates of negative urgency comes exclusively from adult samples. Using structural MRI with healthy adults, Muhlert and Lawrence [63] found that higher self-reported negative urgency was uniquely associated with smaller gray matter volumes in the dorsomedial PFC and right temporal pole, controlling for other forms of impulsivity. Thus, neural regions implicated in response inhibition and perspective taking may be relevant to negative urgency. Functional MRI studies also have shown that high negative urgency was related to greater dorsolateral and ventromedial PFC activation while adults: (a) inhibited a prepotent response and simultaneously viewed a negative image (versus when they viewed a neutral image) [64] and (b) during incongruent (versus congruent) trials of the classic Stroop task [65]. Finally, there is evidence that negative urgency may be uniquely linked to impaired response inhibition (e.g., Go/NoGo performance) and not other aspects of cognitive control (e.g., interference suppression, sustained attention, decision-making (see [66, 67]). However, the only study to directly investigate the neural correlates of response inhibition in adolescent attempters versus non-attempters found no neural abnormalities in response inhibition regions [19]. The potential links between negative urgency and neural circuitry supporting disinhibition among youth awaits further systematic study.

Summary

People with high trait negative urgency act reflexively in ways they may regret when they are feeling sad, anxious, hopeless, and/or angry. It is thus tremendously relevant to the manner in which suicidal behavior is generally described and understood. Most theories assume suicidal behaviors occur in the context of emotional distress and/or pain, and the final decision to make an attempt may occur within minutes of action [68]. Nonetheless, limited research has been directed towards negative urgency and its relation to STBs in youth. Of particular importance is establishing the neurocognitive basis of negative urgency, which may be centered on poor response inhibition in the context of emotional arousal [66, 67]. Some studies have primed mood states prior to cognitive control tasks [69] or measured arousal during such tasks [70]; these studies show that self-reported urgency is associated with task performance when participants are emotionally aroused. Coupling these tasks with EEG/ERP or fMRI is an avenue for uncovering the mechanisms underlying negative urgency and their relations to suicidal behavior in youth.

Developmental Considerations

The neurocognitive processes reviewed—and their putative neural substrates— undergo pronounced change during adolescence. At the same time, rates of STBs surge from near zero in childhood to adult levels by late adolescence [2]. Thus, considering both the normal and atypical trajectories of cognitive control, reward processing, and negative urgency is critical for understanding their relations with STBs (see [5, 71]). Models of typical neural development in adolescence point to the immaturity of the PFC and other cortical structures relative to the limbic system as a cause of increased sensation seeking and goal-directed behavior in this period [72, 73]. It is possible that an atypical (e.g., delayed) developmental trajectory of cognitive control regions may contribute to STBs and dangerous risk-taking during middle-to-late adolescence. Further, the ventral striatum and other reward regions in typically developing adolescents show heightened responding to incentives compared to children and adults (e.g., [74, 75]). The heightened motivational salience of rewards, particularly those relevant to social dynamics and status, promotes a surge of learning, exploration, and skill acquisition (see [76]). Consequently, reduced reward responding may contribute to suicidogenic environments; for instance, lower healthy sensation seeking may lead to fewer social opportunities, reducing felt connectedness (see [77]). Finally, trait impulsivity also increases from childhood to a peak in mid-adolescence, then declines in early adulthood, and this decline may be shallower in attempters relative to non-attempters [78]. Ultimately, considering the typical and atypical developmental courses of neurocognitive processes holds tremendous promise for clarifying how and why STBs onset and escalate during adolescence.

Developmental psychopathology emphasizes the role of transactions between neural circuit-level vulnerabilities and key environmental contexts, and this is a powerful, underused framework for understanding STBs (see [5, 79]). As adolescents are particularly sensitive to their social environments (e.g., [80]), especially peer and romantic relationships, exploring transactions among neurocognitive factors and interpersonal stressors may be critical to improve the prediction of adolescent STBs. Indeed, we have found that being bullied [60, 81] and stressors featuring interpersonal loss [40] are uniquely associated with adolescent suicide attempts. It is essential to examine how these developmentally-salient stressors moderate and/or mediate the effects of neurocognitive abnormalities on STBs.

More generally, the prevalence of many forms of psychopathology rises rapidly in adolescence [82]. As mental disorders are associated with STBs in youth [2], it is important to consider the timing of their onset vis-à-vis neurocognitive deficits relevant to STBs. Mental disorders may contribute to neurocognitive abnormalities, which in turn increase the likelihood of future STBs. Conversely, pre-existing neurocognitive abnormalities are related to the onset of some mental disorders in youth (e.g., [83]), and thus, may lead to STBs indirectly through worsening psychiatric symptoms and functional impairment. And, yet, another possibility is that neurocognitive risk factors lead to STBs independent of mental disorders. Ultimately, STBs are equifinal outcomes, and their causes are complex. Adopting a more developmentally-sensitive research approach is critical for advancing knowledge of adolescent suicide.

Conclusions

Experiencing STBs in adolescence has long-term negative sequelae, including increased rates of mental disorders and treatment utilization, poor overall functioning (financial, health, social), higher risky/illegal behaviors, and future STBs [84, 85]. Thus, intervening prior to the development of STBs would curb a long-term course of disability with vast personal and societal costs. The research on relations between the neurocognitive processes reviewed here (cognitive control, reward responsiveness/valuation, and negative urgency) and STBs among adolescents is in its infancy, and in many cases, the patterns of effects are mixed. Additional focus on these neurocognitive processes is warranted, as they may be useful early indicators of suicide risk. Specifically, there is evidence that unaffected individuals at high-risk for STBs (e.g., family history of suicide attempts) show deficits similar to youth with current STBs in certain cognitive control abilities [86] and reward responsiveness [46]. Further, as research advances on the precise neurocognitive characteristics of youth at high-risk for STBs, this work may inform novel treatments. For example, Peckham and Johnson [87] recently demonstrated that a 6-session cognitive control training program reduced negative urgency in those high in emotion-relevant impulsivity. Ultimately, using research-informed neurocognitive processes to identify high-risk children and pre-teens and to inform creative and effective early interventions holds immense promise for improving the safety and well-being of youth.

Acknowledgments

Funding: The project was supported through funding from the National Institute of Mental Health (NIMH) U01MH116923 (RPA). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or NIMH.

Footnotes

Conflicts of Interest: None

References

  • 1.Centers for Disease Control and Prevention (CDC). (2017). Web-based injury statistics query and reporting system (WISQARS). Available from: https://www.cdc.gov/injury/wisqars/fatal.html.
  • 2.Nock MK, Green JG, Hwang I, McLaughlin KA, Sampson NA, Zaslavsky AM, Kessler RC. Prevalence, correlates, and treatment of lifetime suicidal behavior among adolescents: results from the National Comorbidity Survey Replication Adolescent Supplement. JAMA Psychiatry. 2013;70:300–310. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Miller AB, Prinstein MJ. Adolescent suicide as a failure of acute stress-response systems. Annu Rev Clin Psychol. 2019;15:425–450. doi: 10.1146/annurev-clinpsy-050718-095625 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Franklin JC, Ribeiro JD, Fox KR, Bentley KH, Kleiman EM, Huang X, Musacchio KM, Jaroszewski AC, Chang BP, Nock MK. Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. Psychol Bull. 2017;143:187–232. doi: 10.1037/bul0000084 [DOI] [PubMed] [Google Scholar]
  • 5.Glenn CR, Cha CB, Kleiman EM, Nock MK Understanding suicide risk within the Research Domain Criteria (RDoC) framework: insights, challenges, and future research considerations. Clin Psychol Sci. 2017;5:568–592.•• This article provides a broad overview of how RDoC domains and constructs can be used to organize research on correlates and risk factors for STBs. The authors provide methodological recommendations to enhance the application of the RDoC to suicide science.
  • 6.Glenn CR, Kleiman EM, Cha CB, Deming CA, Franklin JC, Nock MK. Understanding suicide risk within the research domain criteria (RDoC) framework: A meta analytic review. Depress Anxiety, 2018; 35:65–88. doi: 10.1002/da.22686 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Nock MK, Kessler RC, Franklin JC. Risk factors for suicide ideation differ from those for the transition to suicide attempt: The importance of creativity, rigor, and urgency in suicide research. Clin Psychol Sci Pr. 2016;23:31–34. doi: 10.1111/cpsp.12133 [DOI] [Google Scholar]
  • 8.Mann JJ, Waternaux C, Haas GL, Malone KM. Toward a clinical model of suicidal behavior in psychiatric patients. Am J Psychiatry. 1999;156:181–189. doi: 10.1176/ajp.156.2.181 [DOI] [PubMed] [Google Scholar]
  • 9.O’Connor RC, Kirtley OJ. The integrated motivational–volitional model of suicidal behaviour. Philos Trans R Soc Lond B Biol Sci, 2018;373:20170268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Richard-Devantoy S, Berlim MT, Jollant F. A meta-analysis of neuropsychological markers of vulnerability to suicidal behavior in mood disorders. Psychol Med. 2014;44:1663–1673. doi: 10.1017/S0033291713002304 [DOI] [PubMed] [Google Scholar]
  • 11.Baumeister RF. Suicide as escape from self. Psychol Rev. 1990;97:90–113. doi: 10.1037//0033-295X.97.1.90 [DOI] [PubMed] [Google Scholar]
  • 12.Linehan MM. Cognitive behavioral treatment of borderline personality disorder. New Yor: Guilford Press; 1993. [Google Scholar]
  • 13.Suicide Williams M. and attempted suicide: Understanding the cry of pain. London: Penguin Books Ltd; 2001. [Google Scholar]
  • 14.Klonsky ED, Saffer BY, Bryan CJ. Ideation-to-action theories of suicide: A conceptual and empirical update. Curr Opin Psychol. 2018;22:38–43. [DOI] [PubMed] [Google Scholar]
  • 15.Stewart JG, Glenn CR, Esposito EC, Cha CB, Nock MK, & Auerbach RP. Cognitive control deficits differentiate adolescent suicide ideators from attempters. J Clin Psychiatry. 2017;78:e614–e621. doi: 10.4088/JCP.16m10647• This study examined cognitive control using the Suicide Stroop Task in a sample of adolescent suicide ideators and attempters. Relative to ideators, attempters showed control deficits in the context of all emotional stimuli, regardless of valence (i.e., positive, negative, suicide-relevant).
  • 16.Dougherty DM, Mathias CW, Marsh-Richard DM, Prevette KN, Dawes MA, Hatzis ES, Palmes G, Nouvion SO. Impulsivity and clinical symptoms among adolescents with non-suicidal self-injury with or without attempted suicide. Psychiatry Res. 2009;169:22–27. doi: 10.1016/j.psychres.2008.06.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Zelazny J, Melhem N, Porta G, Biernesser C, Keilp JG, Mann JJ, Oquendo MA, Stanley B, Brent DA. Childhood maltreatment, neuropsychological function and suicidal behavior. J Child Psychol Psychiatry. 2019;doi: 10.1111/jcpp.13096• This study included 382 offspring of depressed parents (mean age: 14.83) who completed a broad neuropsychological assessment that captured several aspects of cognitive control (i.e., inhibition, interference suppression, and updating/maintenance). In this sample, poorer inhibition and interference suppression were associated with suicide attempts, but sustained attention (measured by a continuous performance task) was not.
  • 18.Mathias CW, Dougherty DM, James LM, Richard DM, Dawes MA, Acheson A, Hill-Kapturczak N. Intolerance to delayed reward in girls with multiple suicide attempts. Suicide Life Threat Behav. 2011;41:277–286. doi: 10.1111/j.1943-278X.2011.00027.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Pan LA, Batezati-Alves SC, Almeida JR, Segreti A, Akkal D, Hassel S, Lakdawala S, Brent DA, Phillips ML. Dissociable patterns of neural activity during response inhibition in depressed adolescents with and without suicidal behavior. J Am Acad Child Adolesc Psychiatry. 2011;50:602–611. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Keilp JG, Gorlyn M, Russell M, Oquendo MA, Burke AK, Harkavy-Friedman J, Mann JJ. Neuropsychological function and suicidal behavior: Attention control, memory and executive dysfunction in suicide attempt. Psychol Med. 2013;43:39–551. doi: 10.1017/S0033291712001419 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Sommerfeldt SL, Cullen KR, Han G, Fryza BJ, Houri AK, Klimes-Dougan B. Executive attention impairment in adolescents with major depressive disorder. J Clin Child Adolesc Psychol. 2016;45:69–83. doi: 10.1080/15374416.2015.1072823 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Kaufman EA, Crowell SE, Coleman J, Puzia ME, Gray DD, Strayer DL. Electroencephalographic and cardiovascular markers of vulnerability within families of suicidal adolescents: A pilot study. Biol Psychol. 2018;136:46–56. doi: 10.1016/j.biopsycho.2018.05.007 [DOI] [PubMed] [Google Scholar]
  • 23.Cha CB, Najmi S, Park JM, Finn CT, Nock MK. Attentional bias toward suicide-related stimuli predicts suicidal behavior. J Abnorm Psychol. 2010;119:616–622. doi: 10.1037/a0019710 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Wilson KM, Millner AJ, Auerbach RP, Glenn CR, Kearns JC, Kirtley OJ, Najmi S, O’Connor RC, Stewart JG, Cha CB. Investigating the psychometric properties of the Suicide Stroop Task. Psychol Assess. 2019;31:1052–1061. doi: 10.1037/pas0000723 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Horesh N Self-report vs. computerized measures of impulsivity as a correlate of suicidal behavior. Crisis. 2001;22:27–31. doi: 10.1027//0227-5910.22.1.27 [DOI] [PubMed] [Google Scholar]
  • 26.Stewart JG, Kim JC, Esposito EC, Gold J, Nock MK, Auerbach RP. Predicting suicide attempts in depressed adolescents: Clarifying the role of disinhibition and childhood sexual abuse. J Affect Disorders. 2015;187:27–34. doi: 10.1016/j.jad.2015.08.034 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Bechara A, Damasio H, Damasio AR, & Anderson SW. Insensitivity to future consequences following damage to human prefrontal cortex. Cognition. 1994;50:7–15. doi: 10.1016/0010-0277(94)90018-3 [DOI] [PubMed] [Google Scholar]
  • 28.Bridge JA, McBee-Strayer SM, Cannon EA, Sheftall AH, Reynolds B, Campo JV, Pajer KA, Barbe RP, Brent DA. Impaired decision making in adolescent suicide attempters. J Am Acad Child Adolesc Psychiatry. 2012;51:394–403. doi: 10.1016/j.jaac.2012.01.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ackerman JP, McBee-Strayer SM, Mendoza K, Stevens J, Sheftall AH, Campo JV, Bridge JA. Risk-sensitive decision-making deficit in adolescent suicide attempters. J Child Adolesc Psychopharmacol. 2015;25:109–113. doi: 10.1089/cap.2014.0041 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Sheftall AH, Davidson DJ, McBee-Strayer SM, Ackerman JP, Mendoza K, Reynolds B, Bridge JA. Decision-making in adolescents with suicidal ideation: A case-control study. Psychiatry Res. 2015;228:928–931. doi: 10.1016/j.psychres.2015.05.077 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Klonsky ED, May AM. Differentiating suicide attempters from suicide ideators: A critical frontier for suicidology research. Suicide Life Threat Behav. 2014;44:1–5. doi: 10.1111/sltb.12068 [DOI] [PubMed] [Google Scholar]
  • 32.Miller EK, Cohen JD. An integrative theory of prefrontal cortex function. Annu Rev Neurosci. 2001;24:167–202. doi: 10.1146/annurev.neuro.24.1.167 [DOI] [PubMed] [Google Scholar]
  • 33.Pan LA, Hassel S, Segreti AM, Nau SA, Brent DA, Phillips ML. Differential patterns of activity and functional connectivity in emotion processing neural circuitry to angry and happy faces in adolescents with and without suicide attempt. Psychol Med. 2013;43:2129–2142. doi: 10.1017/S0033291712002966 [DOI] [PubMed] [Google Scholar]
  • 34.Johnston JAY, Wang F, Liu J, Blond BN, Wallace A, Liu J, Spencer L, Lippard ETC, Purves KL, Landeros-Weisenberger A, Hermes E, Pittman B, Zhang S, King R, Martin A, Oquendo MA, Blumberg HP. Multimodal neuroimaging of frontolimbic structure and function associated with suicide attempts in adolescents and young adults with bipolar disorder. Am J Psychiatry. 2017;174:667–675. doi: 10.1176/appi.ajp.2016.15050652 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Rizvi SJ, Pizzagalli DA, Sproule BA, Kennedy SH. Assessing anhedonia in depression: potentials and pitfalls. Neurosci Biobehav Rev. 2016;65:21–35. doi: 10.1016/j.neubiorev.2016.03.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Auerbach RP, Millner AJ, Stewart JG, Esposito EC. Identifying differences between depressed adolescent suicide ideators and attempters. J Aff Disord. 2015;186:127–133. doi: 10.1016/j.jad.2015.06.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Nock MK, Kazdin AE. Examination of affective, cognitive, and behavioral factors and suicide-related outcomes in children and young adolescents. J Clin Child Adolesc Psychol. 2002;31:48–58. doi: 10.1207/S15374424JCCP3101_07 [DOI] [PubMed] [Google Scholar]
  • 38.Brausch AM, Gutierrez PM. Differences in non-suicidal self-injury and suicide attempts in adolescents. J Youth Adolesc. 2010;39:233–242. doi: 10.1007/s10964-009-9482-0 [DOI] [PubMed] [Google Scholar]
  • 39.Stewart JG, Esposito EC, Glenn CR, Gilman SE, Pridgen B, Gold J, Auerbach RP. Adolescent self-injurers: Comparing non-ideators, suicide ideators, and suicide attempters. J Psychiatry Res. 2017;84:105–112. doi: 10.1016/j.jpsychires.2016.09.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Stewart JG, Shields GS, Esposito EC, Cosby EA, Allen NB, Slavich GM, Auerbach RP. Life stress and suicide in adolescents. J Abnorm Child Psychol. 2019; doi: 10.1007/s10802-019-00534-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Auerbach RP, Pagliaccio D, Pizzagalli DA. Toward an improved understanding of anhedonia. JAMA Psychiatry. 2019;76:571–573. doi: 10.1001/jamapsychiatry.2018.4600 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Carlson JM, Foti D, Mujica-Parodi LR, Harmon-Jones E, Hajcak G. Ventral striatal and medial prefrontal BOLD activation is correlated with reward-related electrocortical activity: A combined ERP and fMRI study. Neuroimage. 2011;57:1608–1616. doi: 10.1016/j.neuroimage.2011.05.037 [DOI] [PubMed] [Google Scholar]
  • 43.Proudfit GH. The reward positivity: From basic research on reward to a biomarker for depression. Psychophysiology. 2015;52:449–459. doi: 10.1111/psyp.12370 [DOI] [PubMed] [Google Scholar]
  • 44.Foti D, Weinberg A, Dien J, Hajcak G. Event related potential activity in the basal ganglia differentiates rewards from nonrewards: Temporospatial principal components analysis and source localization of the feedback negativity. Hum Brain Mapp. 2011;32:2207–2216. doi: 10.1002/hbm.21182 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Tsypes A, Owens M, Gibb BE. Blunted neural reward responsiveness in children with recent suicidal ideation. Clin Psychol Sci. 2019; doi: 10.1177/2167702619856341.• This study examined reward responsiveness among children 7–11 years old with (n=23) and without (n=46) recent suicide ideation (SI). The authors found that the Reward Positivity was smaller among children with recent SI relative to controls, suggesting that SI may be associated with blunted reward responsiveness.
  • 46.Tsypes A, Owens M, Hajcak G, Gibb BE. Neural responses to gains and losses in children of suicide attempters. J Abnorm Psychol. 2017;126:237–243. doi: 10.1037/abn0000237 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Sauder CL, Derbidge CM, Beauchaine TP. Neural responses to monetary incentives among self-injuring adolescent girls. Dev Psychopathol. 2016;28:277–291. doi: 10.1017/S0954579415000449 [DOI] [PubMed] [Google Scholar]
  • 48.Gold JM, Strauss GP, Waltz JA, Robinson BM, Brown JK, Frank MJ. Negative symptoms of schizophrenia are associated with abnormal effort-cost computations. Biol Psychiatry. 2013;74:130–136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Knutson B, Westdorp A, Kaiser E, Hommer D. FMRI visualization of brain activity during a monetary incentive delay task. Neuroimage. 2000;12:20–27. [DOI] [PubMed] [Google Scholar]
  • 50.Depue RA, Collins PF. Neurobiology of the structure of personality: Dopamine, facilitation of incentive motivation, and extraversion. Behav Brain Sci 1999;22:491–517. [DOI] [PubMed] [Google Scholar]
  • 51.Beauchaine TP, Zisner AR, Sauder CL. Trait impulsivity and the externalizing spectrum. Ann Rev Clin Psychol. 2017;13:343–368. [DOI] [PubMed] [Google Scholar]
  • 52.Anestis MD, Soberay KA, Gutierrez PM, Hernández TD, Joiner TE. Reconsidering the link between impulsivity and suicidal behavior. Pers Soc Psychol Rev. 2014;18:366–386. [DOI] [PubMed] [Google Scholar]
  • 53.Cyders MA, Smith GT. Emotion-based dispositions to rash action: Positive and negative urgency. Psychol Bull. 2008;134:807–828. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Klonsky ED, May A. Rethinking impulsivity in suicide. Suicide Life Threat Behav. 2010;40:612–619. [DOI] [PubMed] [Google Scholar]
  • 55.Liu RT, Trout ZM, Hernandez EM, Cheek SM, Gerlus N. A behavioral and cognitive neuroscience perspective on impulsivity, suicide, and non-suicidal self-injury: Meta-analysis and recommendations for future research. Neurosci Biobehav Rev. 2017;83:440–450. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Millner AJ, Lee MD, Hoyt K, Buckholtz JW, Auerbach RP, Nock MK. Are suicide attempters more impulsive than suicide ideators? Gen Hospital Psychiatry. 2018; 10.1016/j.genhosppsych.2018.08.002• This study examined trait negative urgency among recent (past 2 weeks) suicide attempters, suicide ideators, and healthy controls. The authors found that negative urgency, but not other forms of impulsivity, differentiated attempters from ideators and controls.
  • 57.Smith GT, Cyders MA. Integrating affect and impulsivity: The role of positive and negative urgency in substance use risk. Drug Alcohol Depen. 2016;163:S3–S12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Racine SE, Burt SA, Keel PK, Sisk CL, Neale MC, Boker S, Klump KL. Examining associations between negative urgency and key components of objective binge episodes. Int J Eat Disord. 2015;48:527–531. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Berg JM, Latzman RD, Bliwise NG, Lilienfeld SO. Parsing the heterogeneity of impulsivity: A meta-analytic review of the behavioral implications of the UPPS for psychopathology. Psychol Assess. 2015;27:1129–1146. [DOI] [PubMed] [Google Scholar]
  • 60.Stewart JG, Valeri L, Esposito EC, Auerbach RP. Peer victimization and suicidal thoughts and behaviors in depressed adolescents. J Abnorm Child Psychol. 2018;46:581–596. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Carver CS, Johnson SL, Joormann J, Kim Y, Nam JY. Serotonin transporter polymorphism interacts with childhood adversity to predict aspects of impulsivity. Psychol Sci. 2011;22:589–595. [DOI] [PubMed] [Google Scholar]
  • 62.Auerbach RP, Stewart JG, Johnson SL. Impulsivity and suicidality in adolescent inpatients. J Abnorm Child Psychol. 2017;45:91–103.• This is the only study to date that has directly examined relations between negative urgency and STBs among adolescents. In a sample of adolescent inpatients, negative urgency was associated with more frequent recent suicide attempts, but not suicidal ideation or plans.
  • 63.Muhlert N, Lawrence AD. Brain structure correlates of emotion-based rash impulsivity. NeuroImage. 2015;115:138–146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Chester DS, Lynam DR, Milich R, Powell DK, Andersen AH, DeWall CN. How do negative emotions impair self-control? A neural model of negative urgency. NeuroImage. 2016;132:43–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Barkley-Levenson E, Xue F, Droutman V, Miller LC, Smith BJ, Jeong D, Lu Z-L, Bechara A., Read SJ. Prefrontal cortical activity during the Stroop task: New insights into the why and the who of real-world risky sexual behavior. Ann Behav Med. 2018;52:367–379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Carver C, Johnson S. Impulsive reactivity to emotion and vulnerability to psychopathology. Am Psychol. 2018;73:1067–1078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Wilbertz T, Deserno L, Horstmann A, Neumann J, Villringer A, Heinze H-J, Boehler CN, Schlagenhauf F. Response inhibition and its relation to multidimensional impulsivity. Neuroimage. 2014;103:241–248. [DOI] [PubMed] [Google Scholar]
  • 68.Millner AJ, Lee MD, Nock MK. Describing and measuring the pathway to suicide attempts: A preliminary study. Suicide Life Threat Behav. 2017;47:353–369. [DOI] [PubMed] [Google Scholar]
  • 69.Johnson SL, Tharp JA, Peckham AD, Sanchez AH, Carver CS. Positive urgency is related to difficulty inhibiting prepotent responses. Emotion. 2016;16:750–759. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Pearlstein JG, Johnson SL, Modavi K, Peckham AD, Carver CS. Neurocognitive mechanisms of emotion related impulsivity: The role of arousal. Psychophysiology. 2019;56:e13293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Casey BJ, Oliveri ME, Insel T. A neurodevelopmental perspective on the research domain criteria (RDoC) framework. Biol Psychiatry. 2014;76:350–353. [DOI] [PubMed] [Google Scholar]
  • 72.Casey BJ, Jones RM, Todd HTA. The adolescent brain. Ann NY Acad Sci. 2008;1124:111–126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Crone EA, Dahl RE. Understanding adolescence as a period of social-affective engagement and goal flexibility. Nat Rev Neurosci. 2012;13:636–650. [DOI] [PubMed] [Google Scholar]
  • 74.Galván A, Hare T, Parra C, Penn J, Voss H, Glover G, Casey B. Earlier development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents. J Neurosci. 2006;26:6885–6892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Van Leijenhorst L, Zanolie K, Van Meel CS, Westenberg PM, Rombouts SA, Crone EA. What motivates the adolescent? Brain regions mediating reward sensitivity across adolescence. Cereb Cortex. 2009;20:61–69. [DOI] [PubMed] [Google Scholar]
  • 76.Dahl RE, Allen NB, Wilbrecht L, Suleiman AB. Importance of investing in adolescence from a developmental science perspective. Nature. 2018;554:441–450.•• This review summarizes many of the neuro-maturational changes that occur in adolescence. The authors describe ways in which these changes impact cognition, motivation, and learning.
  • 77.Klonsky ED, May AM. The three-step theory (3ST): A new theory of suicide rooted in the “ideation-to-action” framework. Int J Cogn Ther. 2015;8:114–129. [Google Scholar]
  • 78.Kasen S, Cohen P, Chen H. Developmental course of impulsivity and capability from age 10 to age 25 as related to trajectory of suicide attempt in a community cohort. Suicide Life Threat Behav. 2011;41:180–192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Kaufman EA, Crowell SE, Lenzenweger MF. (2017). The development of borderline personality and self-inflicted injury In: Beauchaine TP, Hinshaw SP, editors. Child and Adolescent Psychopathology. Hoboken, NJ: John Wiley & Sons, Inc; 2017 pp. 642–679. [Google Scholar]
  • 80.Nelson EE, Jarcho JM, Guyer AE. Social re-orientation and brain development: An expanded and updated view. Dev Cogn Neurosci. 2016;17:118–127.• This review describes a framework for understanding social processes at different stages of development (including adolescence). The authors illustrate how transactions between changes in brain function and broader social contexts at each developmental stage impact social behaviors.
  • 81.Vergara GA, Stewart JG, Cosby EA, Lincoln SH, Auerbach RP. Non-Suicidal self-injury and suicide in depressed Adolescents: Impact of peer victimization and bullying. J Affect Disorders. 2019; 245:744–749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Merikangas KR, He JP, Burstein M, Swanson SA, Avenevoli S, Cui L, Benjet C, Georgiades K, Swendsen J. Lifetime prevalence of mental disorders in US adolescents: results from the National Comorbidity Survey Replication–Adolescent Supplement (NCS-A). J Am Acad Child Adolesc Psychiatry. 2010;49:980–989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Nelson BD, Perlman G, Klein DN, Kotov R, Hajcak G. Blunted neural response to rewards as a prospective predictor of the development of depression in adolescent girls. Am J Psychiatry. 2016;173:1223–1230. [DOI] [PubMed] [Google Scholar]
  • 84.Brière FN, Rohde P, Seeley JR, Klein D, Lewinsohn PM. Adolescent suicide attempts and adult adjustment. Depress Anxiety. 2015;32:270–276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Copeland WE, Goldston DB, Costello EJ. Adult associations of childhood suicidal thoughts and behaviors: a prospective, longitudinal analysis. J Am Acad Child Adolesc Psychiatry. 2017;56:958–965. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.McGirr A, Jollant F, Turecki G. Neurocognitive alterations in first degree relatives of suicide completers. J Affect Disorders. 2013;145:264–269. [DOI] [PubMed] [Google Scholar]
  • 87.Peckham AD, Johnson SL. Cognitive control training for emotion-related impulsivity. Behav Res Ther. 2018;105:17–26. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES