Cerebral Blood Flow Dynamics During Pain Processing in Patients With Fibromyalgia Syndrome
Bibliographic record
Abstract
Objectives Increased cerebral blood flow during processing of acute pain has repeatedly been observed in fibromyalgia syndrome. The study investigated the time dynamics of the pain-related hemodynamic response in fibromyalgia using transcranial Doppler sonography. Methods In 25 women with fibromyalgia and 25 healthy participants, blood flow velocities in the anterior and middle cerebral arteries of both hemispheres were recorded, while heat stimuli of 45°C were applied to their forearms. Thermal pain threshold and subjective pain experience during stimulation were assessed, and the participants completed the McGill Pain Inventory, Beck Depression Inventory, and State-Trait Anxiety Inventory. Results The early component of the blood flow response in both anterior cerebral arteries, that is, the steep flow increase during the initial stimulation period, was more pronounced in the patients than in the controls (mean [standard deviation] = 1.28% [1.85%] versus 0.24% [1.58%], p = .04). The patients showed lower pain threshold (p = .018), stronger sensory and affective pain experience (p < .001), and increased values on all questionnaire scales (all p values < .001). Although higher scores on each of the scales were associated with a stronger early blood flow response (r values ranging from 0.17 to 0.36), clinical pain severity proved to be the best predictor (β = .33, p = .02). Conclusions The increased blood flow response in the anterior cerebral arteries reflects hyperactivity of medial structures of the neuromatrix of nociception, structures involved in the processing of affective and cognitive aspects of pain. Aberrances in cerebral blood flow related to fibromyalgia and its clinical characteristics become particularly apparent in the enhancement of the initial component of the hemodynamic response. Abbreviations FMS = fibromyalgia syndrome fMRI = functional magnetic resonance imaging fTCD = functional transcranial Doppler sonography ACAs = anterior cerebral arteries MCAs = middle cerebral arteries SCID = Structured Clinical Interview for Axis I Disorders MPQ = McGill Pain Questionnaire BDI = Beck Depression Inventory STAI = State-Trait Anxiety Inventory VAS = visual analog scale VIF = variance inflation factor BOLD = blood oxygen level dependent EEG = electroencephalography
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 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".