Racial Discrimination–Related Interoceptive Network Disruptions: A Pathway to Disconnection
Bibliographic record
Abstract
BACKGROUND: Racial discrimination (RD) disrupts regulatory systems in minoritized individuals, particularly systems that govern attention, including attention to visceral signals (interoception). RD frequency is linked to physiological shutdown responses, characterized clinically by dissociation. We examined associations between RD frequency and functional connectivity of attention and interoceptive networks in a sample of trauma-exposed Black women, investigating potential links between connectivity and dissociation severity. METHODS: Seventy-two Black women who were recruited as part of two trauma studies underwent magnetic resonance imaging during performance of an affective Stroop (AS) task and completed dissociation and RD measures. Generalized psychophysiological interaction analyses were used to examine seed-to-voxel (seeds: bilateral amygdala and insula) functional connectivity with RD as a regressor; connectivity was examined during presentation of threat-relevant versus neutral AS distractor images. Connectivity values were extracted from significant clusters and examined in association with dissociative symptoms. We also investigated connectivity in association with posttraumatic stress disorder (PTSD) symptoms for comparison analyses. RESULTS: During attention to threat-relevant AS trials, greater RD frequency was associated with less insula connectivity to several medial prefrontal cortex (mPFC) clusters (false discovery rate-corrected ps < .05). Insula-mPFC connectivity was significantly and negatively associated with derealization symptoms (r = -0.31, p = .009), but not PTSD (r = -0.16, p = .182). CONCLUSIONS: RD frequency was linked to reduced functional connectivity between the insula and mPFC, 2 interoceptive network nodes, during attention to threat, and diminished connectivity was linked to more severe dissociation. RD may interrupt interoceptive network functioning, and these network alterations may, in turn, influence mind-body disconnection, or physiological shutdown response in Black individuals.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".