HIV-related decreased brain activity during a semantic memory task is reflected in spontaneous brain functional connectivity
Bibliographic record
Abstract
Background The primary goal was to examine HIV-related changes in brain activation during a semantic memory task. The secondary goal was to assess whether the functional connectivity of the brain regions showing altered activity during the semantic memory task is related to HIV serostatus. Participants and procedure The total group of 17 male subjects, aged on average 44 years, included 8 HIV+/cART+ and 9 demographically matched healthy comparators. Participants completed Famous Names Recognition task-functional magnetic resonance imaging (fMRI) and resting state fMRI. Results We found an effect of HIV status on brain activation during the semantic memory task, despite comparable accuracy and reaction time across groups. Compared to healthy individuals, in HIV+ participants recognition of famous names elicited less activity in the fronto-striatal network, particularly in the left caudate nucleus (p = .049), left inferior frontal gyrus (p = .047), left thalamus (p = .031) and right thalamus (p = .047), as well as in the left middle occipital gyrus (p = .028). Although an effect of HIV status on functional connectivity of the brain regions showing altered activity during semantic memory task was not observed, resting-state activation of those regions was significantly correlated with performance on cognitive domains of attention, executive functioning, psychomotor speed and semantic skills. Conclusions Our findings suggest the presence of functional brain network reorganization in HIV+/cART+ patients, particu-larly in subcortical regions of the fronto-striatal network, in the absence of neurocognitive decline.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".