Longitudinal decreases in suicidal ideation are associated with increases in salience network coherence in depressed adolescents
Open accessAbstract
Background Suicidal ideation (SI) is an important predictor of suicide attempt, yet SI is difficult to predict. Given that SI begins in adolescence when brain networks are maturing, it is important to understand associations between network functioning and changes in severity of SI.Methods Thirty-three depressed adolescents were administered the Columbia-Suicide Severity Rating Scale to assess SI and completed resting-state fMRI at baseline (T1) and 6 months later (T2). We computed coherence in the executive control (ECN), default mode (DMN), salience (SN), and non-relevant noise networks and then examined the association between changes in brain network coherence and changes in SI severity from T1 to T2.Results A greater reduction in severity of SI was associated with a stronger increase in SN coherence from T1 to T2. There were no associations between the other networks and SI.Limitations We cannot generalize our findings to more psychiatrically diverse samples. More time-points are necessary to understand the trajectory of SI and SN coherence change.Conclusions Our finding that reductions in SI are associated with increases in SN coherence extends previous cross-sectional results documenting a negative association between SI severity and SN coherence. The SN is involved in coordinating activation of ECN and DMN in response to salient information. Given this regulatory role of the SN, the association between SN coherence and SI suggests that adolescents with reduced SN coherence might more easily engage in harmful thoughts. Thus, the SN may be particularly relevant as a target for treatment applications in depressed adolescents.
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Longitudinal decreases in SI have been associated with increased salience network coherence in depressed adolescents.
“Longitudinal decreases in SI have also been associated with increased salience network coherence in depressed adolescents (82).”
From New methods for assessing rapid changes in suicide risk (2021) · cites this paper as [82]
Within the same sample, increasing salience network coherence predicts lower ideation severity over time.
“Within this same sample, increasing SN coherence predicts lower ideation severity over time (105).”
From Neural correlates associated with suicide and nonsuicidal self-injury in youth (2021) · cites this paper as [105]
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McNeilly, E. A., Teresi, G. I., Coury, S. M., Bajwa, Z., Kahn, L. E., Crowley, R. N., Allen, N. B., & Ho, T. C. (2024) · NPP—Digital Psychiatry and Neuroscience · doi:10.1038/s44277-024-00009-6 · Cited by 6 · see citing works
Self-citationMultimodal neuroimaging and suicidality in a US population-based sample of school-aged childrenPreprint
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Functional connectome-based predictive modeling of suicidal ideation
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Functional connectivity alterations in PTSD patients with suicidal ideation
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Brain network-driven predictive neural markers for suicide risk
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- Authors
- Schwartz, J., Ordaz, S. J., Ho, T. C., & Gotlib, I. H.
- Affiliations
- Stanford Medicine (US)
- Stanford University (US)
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 245
- Pages
- 545-552
- ISSN
- 0165-0327 (ISSN-L)
- PMC
- PMC6367710
- OpenAlex
- W2899311687
- Cited by
- 46
- References
- 51
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 5 · 2023: 4 · 2022: 4 · 2021: 9 · 2020: 7 · 2019: 5
- FWCI
- 3.13
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (R37-MH101495, R21-MH101545, K01-MH106805)
- Brain and Behavior Research Foundation (23582)
- Klingenstein Third Generation Foundation
- American Foundation for Suicide Prevention
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- suicidal ideation, salience network, network coherence, adolescent depression, resting-state functional connectivity, frontoparietal network, default mode network, longitudinal change, suicide risk prediction
- MeSH terms
- Adolescent, Adolescent Behavior, Brain, Brain Mapping, Cross-Sectional Studies, Depression, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Executive Function, Suicidal Ideation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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