Restoring large scale brain networks in the aftermath of trauma: implications for neuroscientifically-informed treatments
Bibliographic record
Abstract
Background: Several intrinsic networks in the brain, including the default mode network, the salience network, and the central executive network, have shown to be critical to higher cognitive functioning. Importantly, these networks have been demonstrated to be compromised in psychopathology, including posttraumatic stress disorder (PTSD) (Akiki, Averill, & Abdallah, 2017 Akiki, T. J., Averill, C. L., & Abdallah, C. G. (2017). A network-based neurobiological model of PTSD: Evidence from structural and functional neuroimaging studies. Current Psychiatry Reports, 19(11), 1.[Crossref], [Web of Science ®] , [Google Scholar]; Lanius, Frewen, Tursich, Jetly, & McKinnon, 2015 Lanius, R. A., Frewen, P. A., Tursich, M., Jetly, R., & McKinnon, M. C. (2015). Restoring large-scale brain networks in PTSD and related disorders: A proposal for neuroscientifically-informed treatment interventions. European Journal of Psychotraumatology, 6(1), 27313.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]; Lanius, Terpou, & McKinnon, 2020 Lanius, R. A., Terpou, B. A., & McKinnon, M. C. (2020). The sense of self in the aftermath of trauma: Lessons from the default mode network in posttraumatic stress disorder. European Journal of Psychotraumatology, 11(1), 1807703. https://doi.org10.1080/20008198.2020.1807703[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]; Szeszko & Yehuda, 2020 Szeszko, P. R., & Yehuda, R. (2019). Magnetic resonance imaging predictors of psychotherapy treatment response in post-traumatic stress disorder: A role for the salience network. Psychiatry Research, 277, 52–1.[Crossref], [Web of Science ®] , [Google Scholar]).Objective: 1) To outline the major large-scale networks of the human brain and their impaired functioning in PTSD; 2) to describe neuroscientifically-informed interventions targeting directly the abnormalities observed in these brain networks in PTSD.Methods: Literature relevant to this topic will be reviewed.Results: Increasing evidence for impaired functioning of the default mode network, the salience network, the central executive network, and the dorsal/ventral attention networks in PTSD has been described. Each network has been proposed to be associated with specific clinical symptoms observed in PTSD, including an altered sense of self (default mode network), increased or decreased or arousal/interoception (salience network), cognitive dysfunction (central executive network; attentional networks). Specific neuroscientifically-informed treatments designed to restore each of these brain networks and the related clinical symptomatology will be discussed.Conclusions: Neuroscientifically-informed treatments will be critical to future research and personalized medicine agendas aimed at targeting specific PTSD symptomatology and restoring functioning in the aftermath of this often devastating disorder.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".