Bridging the self to the world: resting-state functional connectivity of the temporoparietal junction in post-traumatic stress disorder and its dissociative subtype
Bibliographic record
Abstract
BACKGROUND: The temporoparietal junction (TPJ) is a cross-network hub involved in social cognition and attention, processes which are directly impacted by symptoms observed in clinical profiles of post-traumatic stress disorder (PTSD) and its dissociative subtype (PTSD + DS). METHODS: Using SPM12 and CONN, seed-based TPJ resting-state functional connectivity patterns were analyzed in individuals with PTSD (n = 81), PTSD + DS (n = 49), and healthy controls (n = 54) using four seeds [right anterior TPJ (raTPJ), left anterior TPJ (laTPJ), right posterior TPJ (rpTPJ), left posterior TPJ (lpTPJ)]. Post-hoc graph theoretical analyses were performed for raTPJ connectivity in PTSD + DS and healthy controls. RESULTS: As compared to healthy controls, PTSD + DS showed decreased raTPJ functional connectivity with critical anterior frontal lobe nodes involved in the ventral attention and social cognition networks (i.e., left ventrolateral and dorsomedial prefrontal cortices). PTSD showed decreased lpTPJ functional connectivity with the left superior parietal lobule as compared to healthy controls. When comparing PTSD to PTSD + DS, we observed increased bilateral TPJ functional connectivity with the cerebellum. Lastly, compared to healthy controls, both PTSD and PTSD + DS displayed decreased bilateral TPJ functional connectivity with the occipital lobe. Graph theoretical analyses revealed that PTSD + DS showed limited raTPJ involvement and instead more efficient neural communication between occipital lobe and frontal lobe structures as compared to healthy controls, suggesting a possible compensatory neural network in PTSD + DS. CONCLUSIONS: These findings reveal disruptions in TPJ neural circuitry in PTSD and PTSD + DS, which may carry cascading effects on intersecting neural networks involving the TPJ. Implications for psychotherapeutic treatments targeting disembodiment and social cognition are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".