# Associations Between Cortical Iron Accumulation and Memory in Patients With Amnestic Mild Cognitive Impairment and in Cognitively Normal Individuals

**Authors:** Subin Lee, Suhyeon Lee, Ina Park, Yeonsil Moon, Younghee Yim, Jongho Lee, June Sic Kim, Won‐Jin Moon

PMC · DOI: 10.1002/brb3.70521 · Brain and Behavior · 2025-05-19

## TL;DR

This study shows that brain iron accumulation may appear earlier than atrophy in memory-related brain regions, potentially serving as an early marker for cognitive decline.

## Contribution

The study identifies iron accumulation as a possible earlier imaging marker of neurodegeneration compared to volume atrophy in memory-related brain regions.

## Key findings

- Patients with aMCI had significantly lower verbal and visual memory scores compared to cognitively normal individuals.
- Iron accumulation was observed in multiple brain regions in aMCI patients, even where atrophy had not yet occurred.
- Higher iron levels in specific brain regions predicted poorer verbal and visual memory performance.

## Abstract

Brain iron accumulation is recognized as a cause and therapeutic target in Alzheimer's disease (AD). We investigated the differences in both volume and iron accumulation between cognitively normal (CN) older adults and patients with amnestic mild cognitive impairment (aMCI). Additionally, we assessed which combination of these measures best explains the group differences in visual and verbal memory performance.

We retrospectively analyzed data from 48 patients with aMCI and 33 age‐matched CN individuals. Structural differences were investigated using voxel‐based comparisons of T1‐weighted magnetic resonance images. Differences in iron accumulation were investigated using voxel‐based comparisons of quantitative susceptibility mapping (QSM) images. Subsequently, significant clusters from these voxel‐based analyses (amygdala, posterior cingulate cortex, precuneus, lateral occipital cortex, and pericalcarine cortex) were entered into a stepwise regression to predict verbal and visual memory scores, while accounting for age, sex, and education as covariates.

In comparison to CN, patients with aMCI had significantly lower scores in both verbal and visual memory tests (p < 0.001). The T1‐weighted voxel‐based morphometry (VBM) results showed significant hippocampal atrophy in the aMCI group relative to CN individuals. The QSM‐VBM results showed increased iron accumulation in the amygdala, posterior cingulate cortex, precuneus, lateral occipital cortex, and pericalcarine cortex (FWE‐corrected p < 0.05). Lower hippocampal volume (B = 2015.91, SE = 469.61, p < 0.001) and higher posterior cingulate cortex susceptibility (B = –189.63 SE = 89.11, p = 0.037) were significant predictors of verbal memory. For visual memory, higher lateral occipital susceptibility (B = –659. 96, SE = 253.03, p = 0.011) was significant imaging predictor.

These results suggest that iron accumulates in regions where atrophy has not yet occurred, suggesting that iron may serve as an earlier imaging marker of neurodegeneration compared to volume atrophy. Further studies are needed to investigate the longitudinal relationship between brain volume and iron accumulation during cognitive decline.

The T1‐weighted VBM analysis revealed significant hippocampal atrophy in the aMCI group. QSM‐VBM showed increased iron accumulation in multiple brain regions (FWE‐corrected p < 0.05). Lower hippocampal volume and higher posterior cingulate cortex susceptibility predicted verbal memory, while higher lateral occipital susceptibility predicted visual memory. These findings suggest iron accumulation may precede atrophy, serving as a potential early marker of neurodegeneration.

## Linked entities

- **Diseases:** Alzheimer's disease (MONDO:0004975)

## Full-text entities

- **Diseases:** cognitive decline (MESH:D003072), neurodegeneration (MESH:D019636), atrophy (MESH:D001284), Mild Cognitive Impairment (MESH:D060825), AD (MESH:D000544)
- **Chemicals:** Iron (MESH:D007501)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

62 references — full list in the complete paper: https://tomesphere.com/paper/PMC12086325/full.md

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Source: https://tomesphere.com/paper/PMC12086325