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Published Online: 1 April 2021

The Elusive Phenotype of Preadolescent Suicidal Thoughts and Behaviors: Can Neuroimaging Deliver on Its Promise?

In this issue of the Journal, Vidal-Ribas and colleagues (1) highlight many of the challenges in identifying biological markers that confer risk for suicidal behaviors in preadolescent youths. Lifetime suicidal thoughts and behaviors were assessed in a large sample (N=7,994) of children ages 9–10 years recruited through the Adolescent Brain Cognition Development (ABCD) project. Suicidal thoughts and behaviors were most closely associated with child psychopathology, family conflict, and parental psychopathology. The strongest neural correlate was an association between suicidal thoughts and behaviors and decreased thickness of the superior temporal gyrus. Psychosocial and neuroimaging findings only modestly discriminated between those with and without lifetime suicidal thoughts and behaviors. This study is timely, as the rate of suicidal thoughts and behaviors among preadolescents is increasing rapidly (2), most notably among females, as well as Black youths, for reasons that are poorly understood. Despite recent efforts, no definitive neural correlates of suicidal thoughts and behaviors have been identified (3).
Although the superior temporal gyrus is not a usual suspect in neural markers related to suicide risk, this study, as the authors note, is not the first to identify an association between structural integrity of this region and suicidal thoughts and behaviors (4). Alterations in resting-state functional connectivity have also been observed in a nearby region (Figure 1) (5). The authors’ stringent, unbiased approach greatly diminishes the likelihood that this finding is a false positive, while also ensuring that all regions of the brain received adequate attention. A conventional neurofunctional interpretation of the region does not lend itself to extant theories of suicide, as the region is mostly associated with language. There is, however, a growing body of functional and structural literature that also links the region’s function to social cognition (6, 7). To provide a more comprehensive overview of the region’s functional role, we performed a decoding analysis using the BrainMap database implemented in Mango software (http://ric.uthscsa.edu/mango) (8). This approach can be useful for providing a broad overview of which cognitive domains might show a functional association with a region’s activity by identifying types of paradigms (e.g., language, sensorimotor, cognition, and emotion) that activate the region more often than would be expected by chance. This type of analysis is performed in volume rather than surface space, and thus the authors kindly provided the peak Montreal Neurological Institute coordinates (x=−54.34, y=−44.54, z=4.16) defining the regions of significant difference. We then created a spherical region of interest with a 10-mm radius centered on this peak and converted it into Talaraich space. As expected, language-related paradigms (speech/semantics: all z values >5.1) frequently activated the region. However, an intriguing finding was seen just below the standard threshold (z=3), namely for social cognition (z=2.93). With regard to suicide, an association between alterations in social behavior and suicide is in line with previous findings, as a common precipitant for preadolescent suicide is conflict with parents or peers (9). At the very least, the present analyses provide justification for further targeted analyses of the left superior temporal gyrus in suicidal thoughts and behaviors, perhaps including seed-based functional connectivity analyses and paradigms designed to evaluate social behavior.
FIGURE 1. Montreal Neurological Institute (MNI) coordinates obtained from the Vidal-Ribas et al. studya
a MNI coordinates reveal the peak location of structural alteration in youths reporting lifetime suicidal thoughts and behaviors (blue), overlayed with an alteration in resting-state functional connectivity between the dorsal posterior cingulate cortex (dPCC) and the superior temporal gyrus region (red; greater dPCC-temporal functional connectivity among individuals with a lifetime history of suicidal thoughts and behaviors compared with healthy control subjects [5]). Taken together, the superior temporal gyrus warrants future investigation, as it may highlight challenges associated with social cognition that confer increased risk for suicidal behaviors.
There are numerous strengths to this study. Vidal-Ribas and colleagues have been scrupulously careful to control for multiple comparisons and to indicate the clinical significance of statistically significant findings. This respectful and cautious approach to data analysis and interpretation should be a model for the field. In particular, their unbiased and comprehensive approach ensures that the significant finding they observed in the superior temporal gyrus is sufficiently strong (Cohen’s d=0.17) to warrant further attention. This state of affairs is not always the case in very highly powered studies, as rather modest findings can be statistically significant if the power is sufficiently high. Taking a step back from the current findings, however, the broader question is how we build on this and related work in suicide among youths. Herein, we offer tentative signposts to guide future work.
First, as the authors acknowledge, a key challenge in interpreting the present data is the temporal and phenomenological breadth of the primary phenotype, lifetime suicidal thoughts and behaviors. Prior research has shown that there may be core differences among youth suicide ideators and attempters (e.g., interpersonal stress exposure [10], anhedonia and reward processing [11], and familial transmission [12]). Furthermore, there is evidence that functional connectivity and task-based neural activation are sensitive to whether suicidal thoughts and behaviors are current or more distal (13). Accordingly, comparing current ideators with and without a history of recent suicide attempts may elucidate mechanisms that facilitate the transition from ideation to action. Relatedly, longitudinal studies that prioritize enrollment for ideators enriched with those at high risk of making a future suicide attempt—based on a prior attempt history, family history of attempts, or a risk calculator—may validate biological markers implicated in suicide attempts and deaths over time.
Second, suicide risk may be best understood through the identification of interactive, and potentially transactional, processes that shape the emergence of suicidal behaviors (3). Biological diatheses may be a necessary but not sufficient predisposition to engage in suicidal behaviors. In the presence of specific environmental exposures, however, the likelihood of suicidal behaviors may increase. Previous work in adolescence has underscored the importance of peer-related interpersonal stressors often related to romantic attachments as it relates to suicidal behaviors (10), whereas preadolescent suicide decedents often have conflict with family or peers (9). Testing models that account for these developmentally salient environmental exposures and their interaction with biological vulnerability may clarify the pathway for suicidal behaviors among preadolescent youths.
Third, the ABCD project affords access to methodologically rigorous neuroimaging and clinical data. Critically, participants will be followed through preadolesence into early adulthood, a period characterized by a surge in depressive disorders and interpersonal stress exposure (9, 14), which are known correlates of suicidal thoughts and behaviors. Repeated scans during a period of intense neuromaturation will provide an unprecedented opportunity to determine whether deviations in normative development are related to suicidal thoughts and behaviors, above and beyond contributions from underlying mental disorders. Enriching the overall ABCD design with ambulatory assessments may illuminate temporal patterns of risk factors leading up to suicidal thoughts and behaviors. Wearables (particularly for younger children) and smartphone apps collect real-time data that provide unique access to dynamic changes in sleep, emotional distress, and social interactions, risk factors repeatedly implicated in suicidal behaviors (15). Coupled with ecological momentary assessment of suicidal thoughts and behaviors, in-lab biological markers—including but not limited to structural and functional neural correlates, as well as event-related potentials—can be linked to real-time functioning in the service of clarifying longitudinal predictors of suicidal thoughts and behaviors. It is impractical to follow the entirety of the ABCD sample; however, focusing on an enriched subset of youths at high risk to make a transition from ideation to attempt (e.g., current suicidal ideation with plan and/or suicidal intent) could provide an important roadmap for clarifying central biological markers and associated socioemotional states that inform the timing of suicidal behaviors.
An open question in the field is to what extent neuroimaging—and what modality therein—will improve our understanding of suicidal thoughts and behaviors among youths. The relatively low discriminatory power of the suicidal thoughts and behaviors correlates may have prompted Vidal-Ribas and colleagues to be unduly pessimistic in the interpretation of their findings. Given their methodologically rigorous approach, the authors are well positioned for a longitudinal sequel, accounting for variations in neuromaturation and stress exposures during a critical period of neural and socioemotional development. Integrating these interactive and transactional processes may shed light onto the growing problem of suicidal thoughts and behaviors among preadolescent youths and perhaps motivate innovative treatments that reduce the needless loss of young lives.

References

1.
Vidal-Ribas P, Janiri D, Doucet GE, et al: Multimodal neuroimaging of suicidal thoughts and behaviors in a US population-based sample of school-age children. Am J Psychiatry 2021; 178:321–332
2.
Curtin SC, Heron M: Death rates due to suicide and homicide among persons aged 10–24: United States, 2000–2017. NCHS Data Brief 2019; 352:1–8
3.
Auerbach RP, Pagliaccio D, Allison GO, et al: Neural correlates associated with suicide and non-suicidal self-injury in youth. Biol Psychiatry 2021; 89:119–133
4.
Pan LA, Ramos L, Segreti A, et al: Right superior temporal gyrus volume in adolescents with a history of suicide attempt. Br J Psychiatry 2015; 206:339–340
5.
Chase HW, Segreti AM, Keller TA, et al: Alterations of functional connectivity and intrinsic activity within the cingulate cortex of suicidal ideators. J Affect Disord 2017; 212:78–85
6.
Feng C, Luo YJ, Krueger F: Neural signatures of fairness-related normative decision making in the ultimatum game: a coordinate-based meta-analysis. Hum Brain Mapp 2015; 36:591–602
7.
Crawford B, Muhlert N, MacDonald G, et al: Brain structure correlates of expected social threat and reward. Sci Rep 2020; 10:18010
8.
Lancaster JL, Laird AR, Eickhoff SB, et al: Automated regional behavioral analysis for human brain images. Front Neuroinform 2012; 6:23
9.
Sheftall AH, Asti L, Horowitz LM, et al: Suicide in elementary school-aged children and early adolescents. Pediatrics 2016; 138:e20160436
10.
Stewart JG, Shields GS, Esposito EC, et al: Life stress and suicide in adolescents. J Abnorm Child Psychol 2019; 47:1707–1722
11.
Auerbach RP, Millner AJ, Stewart JG, et al: Identifying differences between depressed adolescent suicide ideators and attempters. J Affect Disord 2015; 186:127–133
12.
Lieb R, Bronisch T, Höfler M, et al: Maternal suicidality and risk of suicidality in offspring: findings from a community study. Am J Psychiatry 2005; 162:1665–1671
13.
Kim DJ, Bartlett EA, DeLorenzo C, et al: Examination of structural brain changes in recent suicidal behavior. Psychiatry Res Neuroimaging 2021; 307:111216
14.
Avenevoli S, Swendsen J, He JP, et al: Major depression in the national comorbidity survey-adolescent supplement: prevalence, correlates, and treatment. J Am Acad Child Adolesc Psychiatry 2015; 54:37–44.e2
15.
Allen NB, Nelson BW, Brent D, et al: Short-term prediction of suicidal thoughts and behaviors in adolescents: Can recent developments in technology and computational science provide a breakthrough? J Affect Disord 2019; 250:163–169

Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 285 - 287

History

Accepted: 3 February 2021
Published online: 1 April 2021
Published in print: April 01, 2021

Keywords

  1. Neuroimaging
  2. Suicide and Self-Harm

Authors

Details

Randy P. Auerbach, Ph.D.
Department of Psychiatry, Columbia University Irving Medical Center and Vagelos College of Physicians and Surgeons, New York (Auerbach); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Chase, Brent).
Henry W. Chase, Ph.D.
Department of Psychiatry, Columbia University Irving Medical Center and Vagelos College of Physicians and Surgeons, New York (Auerbach); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Chase, Brent).
David A. Brent, M.D. [email protected]
Department of Psychiatry, Columbia University Irving Medical Center and Vagelos College of Physicians and Surgeons, New York (Auerbach); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Chase, Brent).

Notes

Send correspondence to Dr. Brent ([email protected]).

Funding Information

Dr. Auerbach serves on the research grants committee of the American Foundation for Suicide Prevention. Dr. Brent serves on the scientific advisory board of the Klingenstein Third Generation Foundation and the scientific advisory council of the American Foundation for Suicide Prevention; he receives research grant support from the American Foundation for Suicide Prevention, the Beckwith Foundation, NIMH, and the Once Upon a Time Foundation; and he has received royalties from eRT, Guilford Press, and UpToDate and consulting fees from Healthwise. Dr. Chase reports no financial relationships with commercial interests.
Supported by NIMH grant U01MH116923 to Drs. Auerbach and Brent and grant MH115838 to Dr. Brent.
The content in this editorial is solely the responsibility of the authors and does not necessarily represent the official views of NIH or NIMH.

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