Neuroimaging Correlates of Suicidality in Decision-Making Circuits in Posttraumatic Stress Disorder
Bibliographic Data
| ID | 15528146 |
|---|---|
| Authors | Jennifer Barredo (0000-0003-4932-2433, Providence VA Medical Center, corresponding author), Emily Aiken (0000-0003-4374-3536, Providence VA Medical Center), Mascha van ’t Wout-Frank (0000-0002-1497-1989, Providence VA Medical Center), Mascha van 't Wout-Frank, Benjamin D Greenberg (0000-0002-5648-0002, Providence VA Medical Center), Linda L Carpenter (0000-0002-9651-3307, Providence VA Medical Center), Noah S Philip (0000-0002-4889-8775, Butler Hospital) |
| Year | 2019 |
| Volume | 10 |
| Pages | 44-44 |
| Publication date | 2019-02-12 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2019.00044 |
| PMID | 30809160 |
| OpenAlex | W2914720210 |
| Language | EN |
| Citations received | 2 |
| References cited | 51 |
In depression, brain and behavioral correlates of decision-making differ between individuals with and without suicidal thoughts and behaviors. Though promising, it remains unknown if these potential biomarkers of suicidality will generalize to other high-risk clinical populations. To preliminarily assess whether brain structure or function tracked suicidality in individuals with posttraumatic stress disorder (PTSD), we measured resting-state functional connectivity and cortical thickness in two functional networks involved in decision-making, a ventral fronto-striatal reward network and a lateral frontal cognitive control network. Neuroimaging data and self-reported suicidality ratings, and suicide-related hospitalization data were obtained from 50 outpatients with PTSD and also from 15 healthy controls, and all were subjected to seed-based resting-state functional connectivity and cortical thickness analyses using a priori seeds from reward and cognitive control networks. First, general linear models (GLM) were used to evaluate whether ROI-to-ROI functional connectivity was predictive of self-reported suicidality after false discovery rate (FDR)-correction for multiple comparisons and covariance of age and depression symptoms. Next, regional cortical thickness statistics were included as predictors of ROI-to-ROI functional connectivity in follow-up GLMs evaluating structure-function relationships. Functional connectivity between reward regions was positively correlated with suicidality ( p -FDR ≤ 0.05). Functional connectivity of the lateral pars orbitalis to anterior cingulate/paracingulate control regions also tracked suicidality ( p -FDR ≤ 0.05). Furthermore, cortical thickness in anterior cingulate/paracingulate was associated with functional correlates of suicidality in the control network ( p -FDR < 0.05). These results provide a preliminary demonstration that biomarkers of suicidality in decision-making networks observed in depression may generalize to PTSD and highlight the promise of these circuits as transdiagnostic biomarkers of suicidality
Anterior cingulate cortex · Cognition · Depression (economics · Functional connectivity · Functional neuroimaging · Neuroimaging · Psychiatry · Resting state fMRI · Clinical Psychology · Functional Brain Connectivity Studies · Mental Health Research Topics · Neuroscience · Psychology · Suicide and Self-Harm Studies
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2022 - 2023 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |