Functional neuroanatomy of sustained attention and exogenous alerting following naturalistic recovery from moderate-to-severe traumatic brain injury
Bibliographic record
Abstract
Sustained attention (SA) refers to the endogenous ("top-down") control of attentional resources to implement goal-directed behaviour over time. SA relies on a right-lateralized frontal-thalamic-parietal brain network, with dorsolateral prefrontal cortex (DLPFC) as the primary substrate for supervisory control. Traumatic brain injury (TBI) causes frontal damage and SA deficits. Neuroplastic mechanisms and/or the existence of alternate (degenerate) systems offer possible routes for recovery of endogenous control, with the additional possibility of attentional re-engagment though exogenous ("bottom-up") stimulation (e.g. via alerting tones). This fMRI study revealed recovered sustained attention in five patients who sustained significant TBI at least one year ago. Rather than right DLPFC, patients activated right ventrolateral and medial PFC including anterior cingulate. Thalamic and parietal SA network components were preserved. In contrast to control subjects, alerting cues did not reduce "top-down" activations in TBI patients. These findings suggest that sustained attention in patients recovered from TBI is mediated by alternate prefrontal regions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".