Disrupted neurovascular coupling in patients with lung cancer after chemotherapy
Bibliographic record
Abstract
Background: Chemotherapy-related cognitive impairments (CRCIs) are frequently reported by patients with non-small cell lung cancer (NSCLC) following chemotherapy treatment. Studies have revealed that cognitive impairment may be linked to abnormal spontaneous neuronal activity and changes in cerebral blood flow (CBF). However, the specific impact of neurovascular coupling (NVC) alterations on patients who have undergone chemotherapy has not been clarified. The aim of this study was to examine the variations in NVC in patients with lung cancer postchemotherapy and to determine potential correlations between these NVC alterations and neurocognitive dysfunction. Methods: A sample of 43 patients with NSCLC was recruited, including 20 patients treated with chemotherapy [CT(+)] and 23 chemotherapy-naïve [CT(-)] individuals who underwent pseudocontinuous arterial spin labeling (pCASL) scans and resting-state functional magnetic resonance imaging (rs-fMRI), along with neurocognitive evaluations. Global and regional NVC indices were assessed according to correlation coefficients and the ratios between CBF and neuronal activity-derived metrics, including the amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (ReHo). Statistical analyses were conducted to calculate the difference between groups and characterize relationships between alterations in global and regional NVC and cognitive performance. Results: In comparison to the CT(-) group, the CT(+) group exhibited significantly lower coupling strength for global CBF-ALFF and CBF-ReHo correlations (P<0.05). Regionally, the CT(+) group demonstrated a decreased CBF:ALFF ratio in the right middle temporal gyrus (MTG) and left middle frontal gyrus (MFG), as well as an increased CBF:ALFF ratio in the left thalamus and left parahippocampal region. Furthermore, the CT(+) group had higher CBF:ReHo ratios in the left precuneus, right central operculum, right inferior parietal lobule, and right superior occipital gyrus but lower CBF:ReHo ratios in the left inferior frontal gyrus and right MFG (false-discovery rate-corrected P value <0.05). Notably, there was a negative correlation observed between Montreal Cognitive Assessment scores and memory scores and the CBF:ALFF ratios in the right MFG and left parahippocampal region. Conclusions: This research offers comprehensive insights into the neurological foundations of CRCI. The application of multimodal neuroimaging analyses combining rs-fMRI and pCASL may uncover the induction of neurovascular decoupling in lung cancer patients undergoing chemotherapy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".