Unraveling SNAP: distinct patterns of early neurodegeneration through MRI texture analysis.

AIM

Suspected non-Alzheimer's disease pathophysiology (SNAP) is a condition characterized by neurodegeneration in the absence of amyloid beta (Aβ) deposition, posing challenges for early diagnosis. This study aimed to investigate the progression of neurodegeneration in SNAP through the analysis of brain MRI volume and texture.

METHODS

The study included 449 amyloid-negative participants categorized into three groups: cognitively normal without neurodegeneration (N-CN), cognitively normal with neurodegeneration (N + CN), and MCI with neurodegeneration (N + MCI). Volume and texture metrics were derived from T1-weighted MRI. Texture analysis quantified microstructural changes using grey level co-occurrence matrices, while volume metrics measured atrophy.

RESULTS

Texture changes were observed earlier and more widely than volume reductions. In N + CN, texture changes were present in the hippocampus, entorhinal cortex and orbitofrontal cortex. In N + MCI, texture changes extended to frontal and subcortical regions, including the thalamus and putamen, while volume reductions extended to the lateral temporal cortex and amygdala.

CONCLUSIONS

Texture analysis is a sensitive tool for detecting early neurodegenerative changes in SNAP, capturing microstructural changes preceding volume loss. By integrating texture and volume metrics, this study highlights a distinct neurodegenerative trajectory in SNAP. Future research should validate these findings longitudinally and explore the clinical application of texture metrics.