biostudies-literatureOrdaz SJNIMH NIH HHSBrain &amp; Behavior Research FoundationNational Institutes of HealthAmerican Foundation for Suicide Prevention92-99https://www.ebi.ac.uk/biostudies/studies/S-EPMC12758917biostudies-literatureUnknown226<h4>Background</h4>Suicidal ideation rates rise precipitously in adolescence, contributing to risk for attempts. Although researchers are beginning to explore the brain basis of attempts in depressed adolescents, none have focused on the basis of ideation, which has implications for prevention. This study examined the association between intrinsic neural network coherence and the severity of suicidal ideation in depressed adolescents.<h4>Methods</h4>Forty adolescents diagnosed with Major Depressive Disorder were administered the Columbia-Suicide Severity Rating Scale and underwent resting-state fMRI. We quantified within-network coherence in the executive control (ECN), default mode (DMN), and salience (SN) networks, and in a non-relevant network consisting of noise signal. We associated coherence in each of these networks with the greatest lifetime severity of suicidal ideation experienced, covarying for motion, age of depression onset, and severity of current depressive and anxious symptoms.<h4>Results</h4>Lower coherence in the left ECN, anterior DMN, and SN were independently associated with greater lifetime severity of suicidal ideation. When including all three significant networks and covariates in a single model, only the left ECN significantly predicted suicidal ideation.<h4>Limitation</h4>Studies with a larger sample size are needed to verify our findings.<h4>Conclusions</h4>Our finding of hypoconnectivity in multiple networks extends emerging evidence for hypoconnectivity in adolescent suicidality and is consistent with theoretical conceptualizations of suicidal ideation as a complex set of cognitions associated with cognitive control, self-referential thinking, and processing salient information. While multiple networks could be targets for effective early interventions, those targeting ECN functionality (cognitive control) may be particularly beneficial.Journal of affective disordersNetwork basis of suicidal ideation in depressed adolescents.PMC12758917R01-MH10149523582R21-MH101545R21 MH102696K01 MH106805R37 MH101495R21 MH101545R01 MH101495PDF-1–064-13Ho TCSingh MKGotlib IHOrdaz SJGoyer MSfalseNetwork basis of suicidal ideation in depressed adolescents.<h4>Background</h4>Suicidal ideation rates rise precipitously in adolescence, contributing to risk for attempts. Although researchers are beginning to explore the brain basis of attempts in depressed adolescents, none have focused on the basis of ideation, which has implications for prevention. This study examined the association between intrinsic neural network coherence and the severity of suicidal ideation in depressed adolescents.<h4>Methods</h4>Forty adolescents diagnosed with Major Depressive Disorder were administered the Columbia-Suicide Severity Rating Scale and underwent resting-state fMRI. We quantified within-network coherence in the executive control (ECN), default mode (DMN), and salience (SN) networks, and in a non-relevant network consisting of noise signal. We associated coherence in each of these networks with the greatest lifetime severity of suicidal ideation experienced, covarying for motion, age of depression onset, and severity of current depressive and anxious symptoms.<h4>Results</h4>Lower coherence in the left ECN, anterior DMN, and SN were independently associated with greater lifetime severity of suicidal ideation. When including all three significant networks and covariates in a single model, only the left ECN significantly predicted suicidal ideation.<h4>Limitation</h4>Studies with a larger sample size are needed to verify our findings.<h4>Conclusions</h4>Our finding of hypoconnectivity in multiple networks extends emerging evidence for hypoconnectivity in adolescent suicidality and is consistent with theoretical conceptualizations of suicidal ideation as a complex set of cognitions associated with cognitive control, self-referential thinking, and processing salient information. While multiple networks could be targets for effective early interventions, those targeting ECN functionality (cognitive control) may be particularly beneficial.2018-01-01T00:00:00Z2018 Jan2026-06-06T09:15:34.655Z2026-05-28T03:12:25.409ZS-EPMC127589172896856410.1016/j.jad.2017.09.021