Quantitative multi‐parameter mapping of locus coeruleus in aging and Alzheimer’s disease

Abstract Background The Locus Coeruleus (LC) is prominently affected by neuronal loss in the earliest stages of Alzheimer’s disease (AD). Assessing LC integrity can serve as an important early biomarker for assessing AD progression. Neuromelanin (NM) accumulates in LC neurons and NM imaging has therefore been proposed as a means of imaging the LC. As signal intensity is taken as a proxy for cell density, a quantitative imaging approach of the LC, which is less variable across sites and time is desirable. The present study used a multi‐parameter mapping (MPM) protocol optimized for LC imaging to compare weighted and quantitative maps in healthy younger, healthy older adults and individuals with AD. Methods Structural MRI data was acquired in a group of 26 healthy young adults, 26 healthy older adults and 26 individuals with Alzheimer’s disease. Three sets of T1‐weighted, MT‐weighted, and PD‐weighted images yielded quantitative maps (R1, MTsat, PD, and R2*) in each individual within one scan session. Qualitative and quantitative methods were used to assess weighted and quantitative maps for LC imaging across groups. Results Qualitatively, LC visibility was higher in weighted images. The LC was also apparent in R1 maps, but less clearly visible in MTsat and R2* maps (Figure 1). LC contrast ratio (with pons as reference), was reduced in Alzheimer’s disease compared to younger adults as detected by MTw scans ( p = .001) and to older adults as detected by T1w ( p <.001), MTw ( p <.001), and PDw scans ( p = .007). No group differences were detected in quantitative maps, suggesting less sensitivity to pick up typical LC integrity reductions. PD maps could not be reliably estimated in the modified setup of the MPMs. Conclusion Although among the quantitative maps LC was most visible in R1 images, our findings indicate that R1 maps capture the LC signal intensity less well as compared to non‐quantitative LC imaging, as suggested by a qualitative assessment of LC visibility and inability to detect known group differences. Further research should improve sensitivity of quantitative maps for LC assessment by combining sequences capturing different aspects of LC tissue properties.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.095275
Citations
1
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
0.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative multi‐parameter mapping of locus coeruleus in aging and Alzheimer’s disease

Emrah Düzel, Nikolaus Weiskopf, Raymond J. Dolan, Elif Kurt et al.
1 citations
Alzheimer s & Dementia
RNA Research and Splicing
0.23
article

Quantitative multi‐parameter mapping of locus coeruleus in aging and Alzheimer’s disease

Emrah Düzel, Nikolaus Weiskopf, Raymond J. Dolan, Elif Kurt, Robert Howard, Grazia Daniela Femminella, Clare Loane, Sabrina Lenzoni, Martina F. Callaghan, Millie Duckett, Dorothea Hämmerer
article en
1 citations

Abstract

Abstract Background The Locus Coeruleus (LC) is prominently affected by neuronal loss in the earliest stages of Alzheimer’s disease (AD). Assessing LC integrity can serve as an important early biomarker for assessing AD progression. Neuromelanin (NM) accumulates in LC neurons and NM imaging has therefore been proposed as a means of imaging the LC. As signal intensity is taken as a proxy for cell density, a quantitative imaging approach of the LC, which is less variable across sites and time is desirable. The present study used a multi‐parameter mapping (MPM) protocol optimized for LC imaging to compare weighted and quantitative maps in healthy younger, healthy older adults and individuals with AD. Methods Structural MRI data was acquired in a group of 26 healthy young adults, 26 healthy older adults and 26 individuals with Alzheimer’s disease. Three sets of T1‐weighted, MT‐weighted, and PD‐weighted images yielded quantitative maps (R1, MTsat, PD, and R2*) in each individual within one scan session. Qualitative and quantitative methods were used to assess weighted and quantitative maps for LC imaging across groups. Results Qualitatively, LC visibility was higher in weighted images. The LC was also apparent in R1 maps, but less clearly visible in MTsat and R2* maps (Figure 1). LC contrast ratio (with pons as reference), was reduced in Alzheimer’s disease compared to younger adults as detected by MTw scans ( p = .001) and to older adults as detected by T1w ( p <.001), MTw ( p <.001), and PDw scans ( p = .007). No group differences were detected in quantitative maps, suggesting less sensitivity to pick up typical LC integrity reductions. PD maps could not be reliably estimated in the modified setup of the MPMs. Conclusion Although among the quantitative maps LC was most visible in R1 images, our findings indicate that R1 maps capture the LC signal intensity less well as compared to non‐quantitative LC imaging, as suggested by a qualitative assessment of LC visibility and inability to detect known group differences. Further research should improve sensitivity of quantitative maps for LC assessment by combining sequences capturing different aspects of LC tissue properties.

Alzheimer s & DementiaVol. 20(S8)
Wellcome Centre for Human Neuroimaging (GB), Universität Innsbruck (AT), German Center for Neurodegenerative Diseases (DE), Center for Behavioral Brain Sciences (DE), Max Planck Institute for Human Cognitive and Brain Sciences (DE), University Hospital Magdeburg (DE), National Hospital for Neurology and Neurosurgery (GB), University College London (GB), Istanbul University (TR), University of Naples Federico II (IT), Otto-von-Guericke-Universität Magdeburg (DE)
Openalex Percentile: Top 40%
RNA Research and Splicing
0.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.