Fully automated MRI‐based analysis of the locus coeruleus in aging and Alzheimer's disease dementia using ELSI‐Net

We provide a thorough evaluation of a fully automatic locus coeruleus (LC) segmentation method termed Ensemble-based Locus Coeruleus Segmentation Network (ELSI-Net) in aging and Alzheimer's disease (AD) dementia.ELSI-Net outperforms previous work and shows high agreement with manual ratings and previously published LC atlases.ELSI-Net replicates previously shown LC group differences in aging and AD.ELSI-Net's LC mask volume correlates with cerebrospinal fluid biomarkers of AD pathology.

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Journal
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring
Published
2025-04-01
DOI
https://doi.org/10.1002/dad2.70118
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

Fully automated MRI‐based analysis of the locus coeruleus in aging and Alzheimer's disease dementia using ELSI‐Net

Emrah Düzel, Steffen Oeltze‐Jafra, Ayda Rostamzadeh, Annika Spottke et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring
Alzheimer's disease research and treatments
article

Fully automated MRI‐based analysis of the locus coeruleus in aging and Alzheimer's disease dementia using ELSI‐Net

Emrah Düzel, Steffen Oeltze‐Jafra, Ayda Rostamzadeh, Annika Spottke, Alessandro Sciarra, Stefan Johannes Teipel, Frederic Brosseron, Johanna Brustkern, Klaus Fließbach, Enise Irem Incesoy, Matthew J. Betts, Okka Kimmich, Max Dünnwald, Frank Jessen, Ingo Kilimann, Anja Schneider, Michael T. Heneka, Friedrich Krohn, Wenzel Glanz, Falk Lüsebrink, Dorothea Hämmerer, Klaus Tönnies, Mousumi Sarkar, Doreen Göerß
article en

Abstract

We provide a thorough evaluation of a fully automatic locus coeruleus (LC) segmentation method termed Ensemble-based Locus Coeruleus Segmentation Network (ELSI-Net) in aging and Alzheimer's disease (AD) dementia.ELSI-Net outperforms previous work and shows high agreement with manual ratings and previously published LC atlases.ELSI-Net replicates previously shown LC group differences in aging and AD.ELSI-Net's LC mask volume correlates with cerebrospinal fluid biomarkers of AD pathology.

Alzheimer s & Dementia Diagnosis Assessment & Disease MonitoringVol. 17(2)
University of Bonn (DE), University of Cologne (DE), University of Luxembourg (LU), Universität Innsbruck (AT), University Hospital Bonn (DE), German Center for Neurodegenerative Diseases (DE), Medizinische Hochschule Hannover (DE), Center for Behavioral Brain Sciences (DE), Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (DE), University Hospital Magdeburg (DE), University College London (GB), University of Rostock (DE), Otto-von-Guericke-Universität Magdeburg (DE)
EU Joint Programme – Neurodegenerative Disease Research, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, National Institutes of Health
Openalex Percentile: Top 86%
Alzheimer's disease research and treatments
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