Evidence map›Paper›PMID 41000618›Full record

ArticlebioRxiv : the preprint server for biology2025

Automated Locus Coeruleus segmentation and age-related signal changes across Neuromelanin-sensitive MRI and T1/T2-weighted images.

Sun Hyung Kim, Martin Andreas Sytner, Joshua Neal, Ya-Yun Chen, Benjamin Katz, Tae-Ho Lee

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sun Hyung KimDepartment of Psychiatry, University of North Carolina at Chapel Hill, USA.ORCID 0000-0003-4007-9385
Martin Andreas SytnerDepartment of Psychiatry, University of North Carolina at Chapel Hill, USA.ORCID 0000-0002-8747-5118
Joshua NealDepartment of Psychology, Virginia Tech, USA.ORCID 0000-0003-0376-3057
Ya-Yun ChenDepartment of Psychology, Virginia Tech, USA.ORCID 0000-0001-6978-0357
Benjamin KatzDepartment of Human Development and Family Science, Virginia Tech, USA.
Tae-Ho LeeDepartment of Psychology, Virginia Tech, USA.ORCID 0000-0001-6458-0620

Funding

Losing specificity: the role of the locus coeruleus in age-related distractibilityR01AG075000 · NIA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI KATZ, BENJAMIN D, KIM, IL HWAN · 2022 to 2024
$2.3M
Losing specificity: the role of the locus coeruleus in age-related distractibilityRF1AG075000 · NIA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI KATZ, BENJAMIN D, KIM, IL HWAN · 2025 to 2025
$1.4M
NIA NIH HHS R01 AG075000NIA NIH HHS RF1 AG075000
6 · The paper itself

Abstract

The locus coeruleus (LC) plays a key role in stress response, attention, and cognitive function, with its integrity closely linked to neuromelanin accumulation. Neuromelanin-sensitive MRI (NM-MRI) has enabled in vivo imaging of the LC, but automated segmentation remains challenging due to its small size, low contrast, and anatomical variability. This study aimed to evaluate the accuracy of automatic LC segmentation using multi-atlas nonlinear warping applied to high-resolution T1/T2-weighted images and to compare LC intensity characteristics across NM-MRI, T1w, and T2w images. Additionally, we examined developmental changes in LC signal from childhood through adulthood. We analyzed MRI data from 134 participants (ages 8~64) with NM-MRI, T1w, and T2w scans, alongside 652 participants (ages 6~22) from the Human Connectome Project in Development (HCP-D). LC intensity measures were compared across imaging modalities and analyzed for age-related trends. Automatic LC segmentation achieved high spatial overlap with manual tracings (up to 95% after one voxel 2D-dilation). Statistically estimated high (or low)-intensity values (mean ± 2σ) from automated LC masks provided a more stable and noise-resilient alternative to local peak intensity measures. Age-related LC signal changes are most clearly observed in NM-MRI and T2w imaging, with significant developmental shifts emerging during adolescence. These findings support the conventional T2w imaging as an indirect marker of neuromelanin accumulation and highlight the possibility of age-specific analyses in LC imaging studies.

Indexed as

Automatic segmentationDevelopmental intensity changeLocus CoeruleusNeuromelanin-sensitive MRIT1- and T2-weighted MRI

Identifiers

PMID41000618
PMCPMC12458106

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.