Overall, the intraclass correlation coefficient was 0.88, with a 95% confidence interval of 0.74–0.94. SynthSR generates synthetic 1-mm isotropic structural brain images, allowing scans acquired under different conditions to be placed into a common processing framework. In this multicentre study, investigators processed MRI scans with SynthSR and quantified hippocampal volume using FastSurfer.

They examined 27 low-resolution counterpart scans and 76 contrast-enhanced scans; one patient contributed both types. The population and design therefore tested SynthSR in a clinical setting involving heterogeneous image inputs, although the supplied findings do not establish how the tool performs across every acquisition protocol, disease stage or demographic group. The analysis showed that SynthSR processing systematically increased hippocampal-volume estimates compared with the reference-standard scans.

Despite that bias, relative consistency between the SynthSR-processed and original reference-standard measurements remained high, with the intraclass correlation coefficient of 0.88 and 95% confidence interval of 0.74–0.94. Agreement for synthetic images derived from low-resolution scans was moderate, with an intraclass correlation coefficient of 0.75 and 95% confidence interval of 0.36–0.90. In comparison, agreement between low-resolution images processed with SynthSR and corresponding SynthSR-processed reference-standard scans was excellent, reaching an intraclass correlation coefficient of 0.90 with a 95% confidence interval of 0.76–0.96.

These comparisons describe degrees of agreement among processed measurements; they do not demonstrate that acquisition differences caused the discrepancies. Contrast enhancement did not substantially alter measured performance, but the investigators cautioned that including contrast-enhanced images may require caution. In the longitudinal analysis, no statistically significant difference in measured volumetric change was detected between SynthSR-processed scans and reference-standard counterparts.

The wide limits of agreement nevertheless indicated substantial individual-level variability in estimated changes. Taken together, the results indicate that SynthSR can support group-level volumetric analyses when images are handled through a consistent processing pipeline, but its systematic overestimation, variable individual agreement and broad longitudinal limits make it unreliable for determining hippocampal-volume change in an individual patient.

Subject of Research: Evaluation of SynthSR for MRI harmonization and hippocampal-volume analysis in autoimmune encephalitis and related disorders

Article Title: Evaluating SynthSR for MRI harmonization and quantitative analysis of hippocampal volume in autoimmune neurologic diseases

Article References: Seery, N., Rowsthorn, E., Zia, A., Beech, P., Wesselingh, R., Kavnoudias, H., Rushen, T., Law, M., Vivash, L., Sanfilippo, P., Butzkueven, H., Harding, I. H., & Monif, M. (2026). Evaluating SynthSR for MRI harmonization and quantitative analysis of hippocampal volume in autoimmune neurologic diseases. Scientific Reports. https://doi.org/10.1038/s41598-026-76158-9

Image Credits: AI Generated

DOI: 10.1038/s41598-026-76158-9

Keywords: SynthSR, MRI harmonization, hippocampal volume, autoimmune encephalitis, artificial intelligence, medical imaging, quantitative MRI, FastSurfer, clinical MRI, Evaluating, harmonization, quantitative

The approach reflects a broader shift in Alzheimer’s research. Over the past decade, proteomic technologies have matured to the point where dozens of low-abundance signaling proteins can be measured reliably in plasma, and studies increasingly suggest that the peripheral immune system carries a readable imprint of inflammatory events unfolding inside the brain. The complement cascade—a phylogenetically ancient arm of innate immunity that tags cellular debris and synapses for removal—has drawn particular attention. Mouse work published in Science in 2016 showed that complement activation and microglia can drive early synapse loss in Alzheimer’s models, and subsequent human genetics and single-cell studies have reinforced links between complement signaling, microglial states, and neurodegeneration. Endothelial proteins, meanwhile, speak to the health of the cerebral vasculature and the blood–brain barrier, structures long suspected of failing early in the disease.

To build the pathway scores, the investigators used plasma proteins from the quality-controlled Rules-Based Medicine multiplex dataset available through ADNI. Each protein was standardized, and proteins belonging to the same biological program were combined into a single composite metric. The outcomes they examined were clinically grounded and widely used: the Mini-Mental State Examination (MMSE) for global cognition, the Clinical Dementia Rating Sum of Boxes (CDR-SB) for disease severity, and the Functional Activities Questionnaire (FAQ) for independence in instrumental daily activities. Structural outcomes were normalized hippocampal volume and normalized whole-brain volume derived from MRI. Crucially, every multivariable model was adjusted for age, sex, education, and APOE ε4 carrier status—the strongest common genetic risk factor for late-onset Alzheimer’s—reducing the chance that the associations merely reflected demographics or genetic predisposition.

The results were strikingly pathway-specific. Complement–acute-phase scores were significantly higher in participants with dementia than in cognitively normal individuals after correction for multiple comparisons (β = 0.314, 95% CI 0.118 to 0.511; FDR q = 0.018). More importantly, the same score tracked clinical impairment across the continuum. Higher complement–acute-phase values were associated with lower MMSE scores (β = −0.859, FDR q < 0.001), higher CDR-SB scores (β = 0.622, FDR q < 0.001), and higher FAQ scores (β = 2.473, FDR q < 0.001), meaning that elevated complement and acute-phase activity consistently accompanied worse cognition, greater clinical severity, and reduced functional independence. No other pathway score showed this breadth of association with the clinical phenotypes.

The endothelial-associated score told a different, complementary story. Rather than mapping onto cognitive test performance, this vascular-linked signature was associated with lower normalized hippocampal volume (β = −1.47 × 10⁻4, FDR q = 0.028). The hippocampus, a seahorse-shaped structure deep in the temporal lobe, is among the earliest and most severely affected regions in Alzheimer’s disease, and its shrinking on MRI is one of the best-established imaging correlates of memory decline. A plasma readout that correlates with hippocampal atrophy is therefore a potentially valuable bridge between blood-based testing and neuroimaging, suggesting that endothelial dysfunction or blood–brain barrier compromise may be registering in the bloodstream as the memory circuit erodes.

Technically, the false discovery rate (FDR) correction deserves emphasis. In multiplex proteomics, researchers test many proteins or scores simultaneously, and unadjusted associations are often statistical noise. By applying FDR correction, the authors ensured that the surviving signals—the dementia difference in complement–acute-phase score and the endothelial association with hippocampal volume—were unlikely to be chance findings. The separation between pathways is also meaningful: the fact that complement–acute-phase proteins aligned with clinical scales while endothelial proteins aligned with a structural measure suggests that these plasma signatures are not interchangeable proxies of general inflammation, but rather capture distinct facets of Alzheimer’s biology.

The findings fit into a converging literature. Earlier ADNI-based proteomic studies, including work on plasma clusterin by Thambisetty and colleagues, reported associations between individual inflammatory proteins and disease severity, hippocampal metabolism, and brain atrophy. More recent blood biomarker research has shown that plasma measures can predict amyloid and tau pathology, cognitive decline, and brain atrophy over time. Meanwhile, vascular studies led by Montagne and colleagues demonstrated that APOE4 carriers experience early blood–brain barrier breakdown that predicts cognitive decline, and a human brain vascular atlas has mapped Alzheimer’s risk mediators in brain endothelial cells. The new study extends this tradition by organizing dozens of proteins into mechanistically interpretable pathway composites and testing them against both clinical and imaging outcomes in the same cohort.

The study has limitations that temper interpretation. It is cross-sectional and retrospective, so the associations demonstrate correlation rather than causation; elevated complement–acute-phase proteins could contribute to neurodegeneration, mark it, or arise secondarily from the disease process itself. The cohort, while large by proteomic standards, reflects ADNI’s recruitment population, and pathway scores were constructed from a fixed multiplex panel rather than untargeted proteomics, which may miss relevant biology. The authors note that data were obtained from ADNI and are available with permission to researchers, and the work was supported by the Princess Nourah Bint Abdulrahman University Researchers Supporting Project. Corresponding author Saud S. Alharbi led the formal analysis and conceptualization, with contributions from investigators across multiple Saudi institutions.

Even so, the clinical implications are compelling. As disease-modifying therapies for Alzheimer’s enter routine use, clinicians need accessible tools to stratify patients, monitor progression, and identify which biological processes dominate in a given individual. Plasma-based pathway signatures could eventually complement the growing panel of blood biomarkers—amyloid and tau fragments, neurofilament light, and glial fibrillary acidic protein—by adding an immune dimension that current markers do not capture. A complement–acute-phase score linked to clinical impairment and an endothelial score linked to hippocampal integrity hint at a future in which a routine blood test reveals not just the presence of Alzheimer’s disease, but its mechanism—informing whether a patient might benefit most from anti-amyloid treatment, vascular protection, or, one day, therapies targeting the complement cascade itself.

Subject of Research: Plasma neuroimmune protein pathway signatures as blood biomarkers of clinical impairment and hippocampal atrophy across the Alzheimer's disease continuum

Article Title: Plasma neuroimmune pathway signatures are associated with clinical impairment and lower MRI-derived hippocampal volume across the Alzheimer’s disease continuum

Article References: Alruwaili, M., Alanazi, M. F., Almohaimeed, H. M., Alharbi, S. S., Alruwais, N., Elkordy, E. A., & Alshuhri, M. S. (2026). Plasma neuroimmune pathway signatures are associated with clinical impairment and lower MRI-derived hippocampal volume across the Alzheimer’s disease continuum. European Geriatric Medicine. https://doi.org/10.1007/s41999-026-01604-w

Image Credits: AI Generated

DOI: 10.1007/s41999-026-01604-w

Keywords: Alzheimer's disease, plasma biomarkers, neuroinflammation, complement pathway, hippocampal volume, cognitive impairment, ADNI, proteomics, innate immunity, blood-brain barrier, MRI, dementia