Impaired neural activity and functional connectivity in the hippocampus of adolescents with non-suicidal self-injury addiction
Bibliographic record
Abstract
BACKGROUND: Non-suicidal self-injury (NSSI) addiction is prevalent among adolescents, but its underlying neural mechanisms remain unclear. This study aims to investigate the neural activity and functional connectivity characteristics associated with NSSI addiction using resting-state functional magnetic resonance imaging (rs-fMRI). METHODS: A prospective collection of 62 adolescents was completed for this study, including 33 adolescents with self-injury behaviors and 29 age-, gender-, and education-matched healthy controls. The addiction component of the Ottawa Self-Injury Inventory (OSI) was used to assess the degree of NSSI addiction. Amplitude of low-frequency fluctuation (ALFF) analysis was employed to detect changes in local neural activity. Differential brain regions were considered regions of interests (ROIs). Whole-brain functional connectivity (FC) analysis based on ALFF was used to further explore potential changes in functional connections between ROIs and other brain areas in the NSSI group, and to analyze the relationship between these neural changes and addiction characteristics. RESULTS: ALFF analysis revealed decreased ALFF values in the bilateral hippocampus and increased ALFF values in the right supplementary motor area of NSSI adolescents compared to healthy controls. Significantly reduced FC values was observed between the left hippocampus and the left precuneus, right middle temporal gyrus, and right inferior temporal gyrus, and between the right hippocampus and the right middle temporal gyrus. Additionally, increased FC values was observed between the left hippocampus and the left thalamus. Furthermore, ALFF values in the bilateral hippocampus were negatively correlated with the total score of addiction characteristics in NSSI adolescents. CONCLUSIONS: This study highlights reduced local neural activity and functional connectivity in the bilateral hippocampus of NSSI adolescents, and demonstrates that these alterations are associated with heightened addictive features in self-injuring individuals. TRIAL REGISTRATION: A study of positive psychological group interventions in adolescents with non-suicidal self-injury (registration date: 03/01/2024; registration number: ChiCTR2400079412).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".