Spatiotemporal Atrophy Subtypes in Alzheimer's Disease: Neurodegenerative-Vascular Associations and Potential Prognostic Value.
Authors
Affiliations (6)
Affiliations (6)
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital Translational Medical Center, State Key Laboratory of Complex Severe and Rare Diseases, Beijing 100730, China.
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
- Department of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
- Department of Laboratory Medicine, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China.
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100730, China.
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital Translational Medical Center, State Key Laboratory of Complex Severe and Rare Diseases, Beijing 100730, China. Electronic address: [email protected].
Abstract
To characterize spatiotemporal atrophy subtypes in biomarker-confirmed Alzheimer's disease (AD) and examine their cognitive, vascular, molecular, and longitudinal correlates. We applied Subtype and Stage Inference (SuStaIn) to baseline structural magnetic resonance imaging (MRI) from 484 amyloid-positive patients using 17 regional volumes. We compared subtype-specific cognition, cerebral small vessel disease burden, and post-baseline Mini-Mental State Examination (MMSE) trajectories; vascular risk factors and fluid biomarkers were exploratory. In a complete-case subset (45 patients; 134 observations), we compared SuStaIn with cerebrospinal fluid (CSF), plasma, hippocampal-volume, and combined-biomarker prognostic models. A four-subtype solution was reproducible across cross-validation folds (Bhattacharyya coefficient, 0.93): Typical (55%), Parietal-predominant (18%), Limbic-predominant (14%), and Hippocampal-sparing (13%). Higher SuStaIn stages correlated with lower baseline MMSE scores (ρ = -0.56). The Parietal-predominant subtype showed earlier onset, executive and visuospatial dysfunction, and rapid MMSE decline. The Limbic-predominant subtype showed delayed-recall and naming deficits. The Hippocampal-sparing subtype showed relative delayed-recall preservation, the highest adjusted deep white matter hyperintensity burden, and the lowest adjusted perivascular space count. It also had a higher adjusted CSF t-tau/Aβ42 ratio than the Typical and Parietal-predominant subtypes. SuStaIn showed the best in-sample prognostic performance based on marginal R² (0.579; comparator range, 0.239-0.483) and AIC. Biomarker-confirmed AD comprised internally reproducible atrophy trajectories with distinct cognitive, vascular, and molecular profiles. Spatiotemporal MRI may complement fluid biomarkers and conventional volumetry for patient stratification and prognosis. External validation is required to establish predictive generalizability.