Dynamics of corticocortical brain functional connectivity relevant to therapeutic response to biologics in inflammatory arthritis.
Kodai SakiyamaNobuya Abe DrYuichiro FujiedaKhin K ThaHisashi NaritaKohei KarinoMasatoshi KandaMichihito KonoMasaru KatoTatsuya AtsumiPublished in: Cerebral cortex (New York, N.Y. : 1991) (2023)
Aberrant functional connectivity (FC) of the brain regions, evaluated by functional magnetic resonance imaging (fMRI), affects clinical courses in inflammatory arthritis (IA). The static analysis methods would be simplistic to estimate the whole picture of resting-state brain function because blood oxygen level-dependent (BOLD) signals fluctuate over time. The effects of FC dynamics on clinical course are unknown in IA. Therefore, we aimed to evaluate dynamic FC for therapeutic responsiveness to biologics in IA patients. We analyzed resting-state fMRI data of 64 IA patients in 2 cohorts. Dynamic FC was derived as a correlation coefficient of the windowed BOLD signal time series. We determined representative whole-brain dynamic FC patterns by k-means++ cluster analysis, leading to 4 distinct clusters. In the first cohort, occurrence probability of the distinct cluster was associated with favorable therapeutic response in disease activity and patients' global assessment, which was validated by the second cohort. The whole-brain FC of the distinct cluster indicated significantly increased corticocortical connectivity, and probabilistically decreased after therapy in treatment-effective patients compared with -ineffective patients. Taken together, frequent emergence of corticocortical connections was associated with clinical outcomes in IA. The coherence of corticocortical interactions might affect pain modulation, possibly relevant to therapeutic satisfaction.
Keyphrases
- resting state
- functional connectivity
- end stage renal disease
- ejection fraction
- magnetic resonance imaging
- chronic kidney disease
- rheumatoid arthritis
- newly diagnosed
- prognostic factors
- disease activity
- peritoneal dialysis
- systemic lupus erythematosus
- stem cells
- patient reported outcomes
- multiple sclerosis
- oxidative stress
- machine learning
- computed tomography
- blood brain barrier
- cerebral ischemia
- artificial intelligence
- bone marrow
- subarachnoid hemorrhage
- neuropathic pain
- chronic pain
- spinal cord injury