Fatigue in Ankylosing Spondylitis Is Associated With the Brain Networks of Sensory Salience and Attention
Bibliographic record
Abstract
OBJECTIVE: Fatigue is one of the cardinal features of ankylosing spondylitis (AS) and contributes substantially to the disability associated with this disease. The mechanisms underlying fatigue in AS remain poorly understood, and this has hampered the development of targeted, effective treatment of this disabling feature of AS. The current study was undertaken, therefore, to investigate the brain networks underlying fatigue in AS. METHODS: Twenty patients with back pain secondary to AS (15 men and 5 women; mean ± SD age 34.8 ± 11.9 years) and 20 age- and sex-matched controls consented to participate in the study. Patients underwent clinical assessment of AS using the Fatigue Severity Scale, the Affect Intensity Measure, and the McGill Pain Questionnaire. Brain gray matter and white matter connectivity was assessed using 3T magnetic resonance imaging. RESULTS: The patients with AS had significant fatigue that correlated with measures of their emotional strength and spinal mobility. Individual fatigue scores were negatively correlated with the amount of gray matter in areas of the dorsal and ventral attention networks, the somatosensory cortices, and the caudate nucleus, but were positively correlated with gray matter within the executive control network and putamen. Moreover, in patients with high fatigue scores, white matter tracts connecting these brain structures (e.g., inferior fronto-occipital fasciculi, superior/inferior longitudinal fasciculi, and corticothalamic tracts) exhibited low fractional anisotropy (indicative of decreased white matter tract integrity). CONCLUSION: These data indicate that fatigue in AS involves sensory salience and attention brain networks.
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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) | 0.000 | 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) | 0.000 | 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".