Evidence map›Paper›PMID 41972067›Full record

ArticleQuantitative imaging in medicine and surgery2026

Differences in iron content between gray matter heterotopia and normal gray matter.

Dan Luo, Zexiang Deng, Xinru Deng, Jiankun Dai, Xinlan Xiao, Liang Wei

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Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Dan LuoDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Zexiang DengDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Xinru DengDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Jiankun DaiMR Research, GE Healthcare, Beijing, China.
Xinlan XiaoDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Liang WeiDepartment of Pediatrics, Jinggangshan University Affiliated Hospital, Ji'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gray matter heterotopia (GMH) is a common etiology of epilepsy. However, the precise pathophysiological mechanisms driving epileptogenesis remain unclear. Iron deposition has been postulated as a potential modulator of neuronal excitability in epilepsy. Leveraging the unique advantage of enhanced T2*-weighted magnetic resonance angiography (ESWAN) sequence in quantitatively assessing cerebral iron content, this study aimed to assess differences in iron deposition between GMH and normal gray matter (NGM), and to explore the potential pathophysiology of GMH-related epilepsy. Methods: Patients diagnosed with GMH between January 2020 and April 2025 were screened according to inclusion and exclusion criteria. A total of 78 patients with 105 GMH lesions were ultimately enrolled. Phase and magnitude images were acquired based on the ESWAN. Regions of interest (ROIs) were manually delineated by two observers. The consistency of measurements between observers was assessed using the intraclass correlation coefficient (ICC). ROIs were placed at the center of the GMH lesions and in NGM at the ipsilateral level, with the typically located NGM serving as a reference. Corresponding quantitative parameters were subsequently obtained. Paired sample t-tests were used to compare the quantitative parameters between GMH and NGM. Results: A total of 78 patients with GMH (43 males and 35 females) were included in this study, with a mean age of 27.5 years (range, 17-38 years). Among them, 27 cases presented with bilateral lesions and 51 cases with unilateral lesions. Based on the location of the lesions, periventricular nodular heterotopia (PVNH) was the most common type (62 cases) followed by band heterotopia (BH) (11 cases) and subcortical nodular heterotopia (5 cases). Paired samples t-tests revealed significantly lower phase values in GMH compared to NGM in the right (adjusted P=0.028) and left (adjusted P=0.002) hemispheres. Similarly, magnitude values were significantly lower in GMH (right: adjusted P=0.003; left: adjusted P=0.013). Conclusions: ESWAN initially untangled the differences in iron deposition between GMH and NGM.

Indexed as

Enhanced T2*-weighted magnetic resonance angiography (ESWAN)epilepsygray matter heterotopia (GMH)

Identifiers

PMID41972067
PMCPMC13066866

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