Resting state prefrontal cortex oxygenation in adolescent non-suicidal self-injury – A near-infrared spectroscopy study

Koenig, Julian; Höper, Saskia; Venne, Patrice van der; Mürner-Lavanchy, Ines; Resch, Franz; Kaess, Michael

doi:10.1016/j.nicl.2021.102704

Cited by 17 publications

(9 citation statements)

References 91 publications

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“…The reason false alarms exist is that the data collected could not give a full view of high-suicide-risk students. False alarms remind us to include more aim indicators in data collection, such as impulsivity, near-infrared spectroscopy (NIRS), electroencephalogram (EEG), and some genetic indices ( Lutz et al, 2017 ; Hirose et al, 2018 ; Costanza et al, 2021 ; Iznak et al, 2021 ; Koenig et al, 2021 ). Lifetime SA was significantly associated with both higher impulsivity and higher aggression ( Costanza et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

College students’ screening early warning factors in identification of suicide risk

Han

Ji²,

Chen³

et al. 2022

Front. Genet.

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This study aimed to explore the main influencing factors of suicide risk among Chinese students and establish an early warning model to provide interventions for high-risk students. We conducted surveys of students in their first and third years from a cohort study at Jining Medical College. Logistic regression models were used to screen the early warning factors, and four machine learning models were used to establish early warning models. There were 8 factors related to suicide risk that were eventually obtained through screening, including age, having a rough father, and CES-D, OHQ, ASLEC-4, BFI-Neuroticism, BFI-Openness, and MMC-AF-C scores. A random forest model with SMOTE was adopted, and it verified that these 8 early warning signs, for suicide risk can effectively predict suicide risk within 2 years with an AUC score of 0.947. Among the factors, we constructed a model that indicated that different personality traits affected suicide risk by different paths. Moreover, the factors obtained by screening can be used to identify college students in the same year with a high risk of suicide, with an AUC score that reached 0.953. Based on this study, we suggested some interventions to prevent students going high suicide risk.

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Section: Discussionmentioning

confidence: 99%

College students’ screening early warning factors in identification of suicide risk

Han

Ji²,

Chen³

et al. 2022

Front. Genet.

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“…Regarding fNIRS, only one study has examined resting-state activation in youths with NSSI. 46 In addition, cultural differences are believed to be reduced by applying ERT developed and standardized in Korea. This study is expected to contribute to future self-injurious behavior research as the first to investigate the differences in the connectivity of the PFC in Korean adolescents.…”

Section: Discussionmentioning

confidence: 99%

Increased Right Dorsolateral Prefrontal Cortex Connectivity During Emotion Recognition Task in Adolescents With Self-Injurious Behavior: A Functional Near-Infrared Spectroscopy Study

Lee

Cha²,

Hong

2023

Psychiatry Investig

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Objective Research on neural correlates in the prefrontal cortex (PFC) associated with self-injurious behavior has mainly been performed in adults. However, studies on adolescents are scarce. We aimed to investigate the activation and connectivity of the PFC between adolescents with self-injurious behavior (ASI) and psychiatric controls (PC) using functional near-infrared spectroscopy (fNIRS).Methods We used an emotion recognition task during fNIRS to assess 37 adolescents (23 with self-injurious behavior and 14 PC) between June 2020 and October 2021 and compared connectivity and activation between the two groups. We also measured adverse childhood events (ACE, Adverse Childhood Experiences) and performed a correlation analysis of channel activation according to ACE total scores.Results The difference in activation between the groups was not statistically significant. The connectivity of channel 6 was statistically significant. The interaction between channel 6 and the ACE total score showed statistical significance between the two groups(t[33] -2.61; p=0.014). The ASI group showed a negative correlation with the total ACE score.Conclusion This is the first study to investigate PFC connectivity using fNIRS in ASI. It has the implication of a novel attempt with a practically useful tool to uncover neurobiological differences among Korean adolescents.

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“…The study has founded that adolescents with NSSI showed significantly decreased PFC oxygenation compared to HC, as indexed by oxygenated hemoglobin. 59 Second, NSSI behaviour is the result of the interaction of multiple factors; studies should explore the intrinsic mechanisms between different factors. Third, additional large-scale longitudinal studies are necessary to assess the different development trajectories associated with family cumulative risk, such as the relationships between the different development periods of family cumulative risk and NSSI.…”

Section: Discussionmentioning

confidence: 99%

Heterogeneity in Adolescents’ Non-Suicidal Self-Injury Behaviour Trajectories Based on the Group-Based Trajectory Model and a Decision Tree Analysis of Family-Related Determinants

Li,

Yang

2023

PRBM

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Background Non-suicidal self-injury (NSSI) is a global public health problem. While some studies have noted the importance of behavioural development patterns in NSSI, most NSSI research is based on cross-sectional survey data. Few studies explore the time-series heterogeneity of trajectories of NSSI symptoms and family-related influencing factors of NSSI. Aim The purpose of the study was to identify the heterogeneity in trajectories of adolescents’ NSSI behaviour and their family-related influencing factors. Methods The group-based trajectory model (GBTM) was used to identify the heterogeneity in the NSSI behaviour trajectories of 208 adolescents in China. Next, the decision tree model (DTM) was used to analyse which family related factors influence the trajectory type. Results The GBTM revealed two heterogeneous trajectories of NSSI behaviour: the high–risk and low-risk NSSI behaviour groups. Next, DTM’s average accuracy was 83.2%. A total of seven independent variables were used for the DTM: gender, number of NSSIs in the past month, and family economic, family structure, family conflict, parental psychological control, parental behavior control and family intimacy risks. Family conflict risk was located at the root node and was the most important factor. Conclusion Heterogeneity within the population should be considered in the management of adolescents’ NSSI behaviours. Further, from the perspective of family system theory and cumulative risk, focusing on the adverse effect of multiple risk factors on adolescents’ NSSI addiction is more meaningful rather than the impact of single risk factors. Studies that use time series data should focus on the trend of dynamic changes in NSSI addiction characteristics over time.

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Resting state prefrontal cortex oxygenation in adolescent non-suicidal self-injury – A near-infrared spectroscopy study

Cited by 17 publications

References 91 publications

College students’ screening early warning factors in identification of suicide risk

College students’ screening early warning factors in identification of suicide risk

Increased Right Dorsolateral Prefrontal Cortex Connectivity During Emotion Recognition Task in Adolescents With Self-Injurious Behavior: A Functional Near-Infrared Spectroscopy Study

Heterogeneity in Adolescents’ Non-Suicidal Self-Injury Behaviour Trajectories Based on the Group-Based Trajectory Model and a Decision Tree Analysis of Family-Related Determinants

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