White Matter Microstructure in Adolescents and Young Adults With Non-Suicidal Self-Injury

Schreiner, Melinda Westlund; Mueller, Bryon A.; Klimes‐Dougan, Bonnie; Begnel, Erin; Fiecas, Mark; Hill, Dawson; Lim, Kelvin O.; Cullen, Kathryn R.

doi:10.3389/fpsyt.2019.01019

Cited by 21 publications

(12 citation statements)

References 55 publications

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“…In addition, the differential connections between MDDSI and MDDNSI are mainly concentrated in SLF and CC, which are located in the DMN and CCC. SLF and CC have been demonstrated in previous studies to be associated with suicide 40 , 41 , which may help to identify the specific WM fibers associated with MDDSI patients. SI is related to poor decision-making and maladaptive information integration 8 , 42 .…”

Section: Discussionmentioning

confidence: 83%

Alterations of core structural network connectome associated with suicidal ideation in major depressive disorder patients

Liu

Fan

et al. 2021

Transl Psychiatry

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Suicide ideation (SI) is a most high-risk clinical sign for major depressive disorder (MDD). However, whether the rich-club network organization as a core structural network is associated with SI and how the related neural circuits are distributed in MDD patients remain unknown. Total 177 participants including 69 MDD patients with SI (MDDSI), 58 MDD without SI (MDDNSI) and 50 cognitively normal (CN) subjects were recruited and completed neuropsychological tests and diffusion-tensor imaging scan. The rich-club organization was identified and the global and regional topological properties of structural networks, together with the brain connectivity of specific neural circuit architectures, were analyzed. Further, the support vector machine (SVM) learning was applied in classifying MDDSI or MDDNSI from CN subjects. MDDSI and MDDNSI patients both exhibited disrupted rich-club organizations. However, MDDSI patients showed that the differential network was concentrated on the non-core low-level network and significantly destroyed betweeness centrality was primarily located in the regional non-hub regions relative to MDDNSI patients. The differential structural network connections involved the superior longitudinal fasciculus and the corpus callosum were incorporated in the cognitive control circuit and default mode network. Finally, the feeder serves as a potentially powerful indicator for distinguishing MDDSI patients from MDDNSI or CN subjects. The altered rich-club organization provides new clues to understand the underlying pathogenesis of MDD patients, and the feeder was useful as a diagnostic neuroimaging biomarker for differentiating MDD patients with or without SI.

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Section: Discussionmentioning

confidence: 83%

Alterations of core structural network connectome associated with suicidal ideation in major depressive disorder patients

Liu

Fan

et al. 2021

Transl Psychiatry

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“…An initial diffusion imaging study reported that adult outpatients with BPD and self-injurious behavior showed compromised white matter microstructure within the frontal lobe (Grant et al, 2007). This was further supported by a study that found that adolescents and young adults with NSSI showed lower white matter integrity compared to healthy controls in widespread circuits, and that reduced white matter integrity of fronto-limbic tracts correlated with NSSI duration (Westlund Schreiner et al, 2019). Functionally, adolescents with NSSI showed greater resting-state functional connectivity between the amygdala and posterior regions of the ACC relative to healthy controls (Westlund Schreiner et al, 2017).…”

Section: Circuits Underlying Emotion Expression and Regulationmentioning

confidence: 86%

Advancing a temporal framework for understanding the biology of nonsuicidal self- injury: An expert review

Kaess

Hooley

Klimes‐Dougan

et al. 2021

Neuroscience & Biobehavioral Reviews

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Nonsuicidal self-injury (NSSI) is a serious clinical problem, particularly for adolescents and young adults. NSSI is a complex behavior that emerges through the intersecting effects of social, psychological, and biological mechanisms. Although the social and psychological contributions to risk for developing NSSI are relatively well understood and have guided the development of effective psychosocial treatments for self-injury, the biological mechanisms underlying NSSI have just begun to come to light. To evaluate and categorize the biological research conducted on the topic of NSSI, we propose a model that distinguishes between trait and state markers. According to this model, risk factors and mechanisms involved in NSSI can be distinguished into both trait and state factors. We review the existing evidence on distal biological traits (predictors) of NSSI, proximal biological traits (correlates) of NSSI, and biological states directly preceding or following NSSI. We conclude by providing recommendations for future research on the neurobiology of NSSI.

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“…Compared to healthy controls, adolescents and adults with NSSI showed diffuse abnormalities of amygdala circuits (frontal lobe, supplementary motor area, dorsal anterior cingulate and occipital lobe) and deficit in white matter microstructure in the uncinate fasciculus, cingulum, bilateral superior and inferior longitudinal fasciculi, anterior thalamic radiation, callosal body and corticospinal tract. On the one hand, such alterations seemed to worsen with frequent recurrence of NSSI behaviors and, on the other hand, could have a role as neurobiological targets for the individuation and management of specific therapeutic interventions [37][38][39].…”

Section: Socio-demographic and Clinical Features Of The Samplementioning

confidence: 99%

Non-Suicidal Self-Injury: An Observational Study in a Sample of Adolescents and Young Adults

Matera¹,

Margari²,

Serra³

et al. 2021

Brain Sciences

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Non-Suicidal Self-Injury (NSSI) is the self-inflicted destruction of body tissues without suicidal intent with a prevalence of 1.5% to 6.7% in the youth population. At present, it is not clear which emotional and behavioral components are specifically associated with it. Therefore, we studied NSSI in a clinical sample of youth using the Ottawa Self-injury Inventory and the Barratt Impulsiveness Scale 11. The Mann–Whitney test was used to compare the numerical responses provided to the tests. We found 54 patients with NSSI, with a mean age of 17 years. Scores were analyzed in the total sample and in four subgroups. In the total sample, Internal Emotion and External Emotion Regulation, Craving, Non-Planning and Total Impulsivity were significantly associated with NSSI. There were statistically significant differences in Craving between patients with multiple NSSI episodes, suicide attempts and multiple injury modes and patients of other corresponding subgroups, in Internal Emotion Regulation, Sensation Seeking and Motor Impulsivity between NSSI patients with suicide attempts and no suicide attempts, and in Cognitive Impulsivity between NSSI patients with multiple injury modes and one injury mode. It is necessary to carefully evaluate the components underlying NSSI in order to activate personalized treatment options.

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White Matter Microstructure in Adolescents and Young Adults With Non-Suicidal Self-Injury

Cited by 21 publications

References 55 publications

Alterations of core structural network connectome associated with suicidal ideation in major depressive disorder patients

Alterations of core structural network connectome associated with suicidal ideation in major depressive disorder patients

Advancing a temporal framework for understanding the biology of nonsuicidal self- injury: An expert review

Non-Suicidal Self-Injury: An Observational Study in a Sample of Adolescents and Young Adults

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