Zesong Yuan, Jing Wang, Baohua Cheng, Yingpeng Kuang, Rongyu Zhang, Nana Luo, Shijun Qiu, Yujie Liu
Incremental exercise-capacity indicators were associated with distributed multimodal brain characteristics, and several core associations remained robust after multiple-comparison correction and supplementary analyses. The subgroup results suggested stage-related differences in brain-physiology coupling, particularly a broader pattern in moderately trained individuals and a more focal prefrontal-associated profile in high-level athletes, although these findings still require cautious interpretation.
INTRODUCTION: Early-onset Alzheimer's disease (EOAD) and late-onset Alzheimer's disease (LOAD) may differ in large-scale network organization. We compared multimodal MRI markers of diagnosis-age-defined Alzheimer's phenotypes.
METHODS: Alzheimer's Disease Neuroimaging Initiative participants were classified by age at first recorded mild cognitive impairment or Alzheimer's disease diagnosis: <65 years for EOAD and ≥65 years for LOAD. Retrospective symptom-onset information was consistent with this grouping when available. We assessed resting-state functional measures, graph-theoretical nodal metrics, structural-functional coupling (SFC), structural decoupling, and DTI-derived measures. Primary models adjusted for age and sex; sensitivity analyses examined nonlinear age, covariate overlap, clinical severity, disease stage, atrophy, biomarkers, head motion, regional coverage, and control-group composition.
RESULTS: The functional cohort included 50 EOAD, 72 LOAD, and 113 healthy controls. Global mean SFC showed only a modest group effect. LOAD showed higher regional SFC than EOAD in four frontal regions after false discovery rate correction. Graph-theoretical effects were predominantly nominal: only the overall three-group effect in Vermis 9 nodal efficiency survived within-family correction, and no EOAD-versus-LOAD nodal contrast survived. DTI-derived regional measures and structural decoupling were less subtype-discriminative. All four frontal effects remained significant after mean Power framewise displacement adjustment and overlap weighting, with bootstrap confidence intervals excluding zero. However, corrected support narrowed to one region in the nonlinear-age model and disappeared in disease- stage-, APOE ε 4-, amyloid PET-, and centiloid-adjusted models; restriction to amyloid-negative controls also retained one region.
CONCLUSION: In the primary model, diagnosis-age-defined LOAD showed higher frontal regional SFC than EOAD. The absence of corrected EOAD-versus-LOAD graph findings, variable sensitivity-analysis support, and lack of corrected SFC-clinical associations indicate a model-sensitive network phenotype rather than a definitive onset-age biomarker or clinically validated subtype marker.