MRI-assessed locus coeruleus contrast and functional response are not associated in young and late middle-aged individuals
Berger, A.; Koshmanova, E.; Beckers, E.; Sharifpour, R.; Paparella, I.; Campbell, I.; Mortazavi, N.; Balda, F.; Yi, Y.-J.; Lamalle, L.; Dricot, L.; Phillips, C.; Jacobs, H.; Talwar, P.; El Tahry, R.; Sherif, S.; Vandewalle, G.
Show abstract
The brainstem locus coeruleus (LC) influences a broad range of brain processes, including cognition. The so-called LC contrast is an accepted marker of the integrity of the LC that consists of a local hyperintensity on specific Magnetic Resonance Imaging (MRI) structural images. The small size of the LC has, however, rendered its functional characterization difficult in humans, including in aging. A full characterization of the structural and functional characteristics of the LC in healthy young and late middle-aged individuals is needed to determine to potential roles of the LC in different medical conditions. Here, we wanted to determine whether the activation of the LC in a mismatch negativity task changes in aging and whether the LC functional response was associated to the LC contrast. We used Ultra-High Field (UHF) 7-Tesla functional MRI (fMRI) to record brain response during an auditory oddball task in 53 healthy volunteers, including 34 younger (age: 22.15y {+/-} 3.27; 29 women) and 19 late middle-aged (age: 61.05y {+/-} 5.3; 14 women) individuals. Whole-brain analyses confirmed brain responses in the typical cortical and subcortical regions previously associated with mismatch negativity. When focusing on the brainstem, we found a significant response in the rostral part of the LC probability mask generated based on individual LC images. Although bilateral, the activation was more extensive in the left LC. Individual LC activity was not significantly different between young and late middle-aged individuals. Critically, while the LC contrast was higher in older individuals, the functional response of the LC was not associated with its contrast. These findings show that the age-related alterations of the LC structural integrity may not necessarily be related to changes in its functional response. The results further indicate that LC responses could remain stable in healthy individuals aged 20 to 70.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- BOLD and EEG signal variability at rest differently relate to aging in the human brain 98%
- Striatal iron content is linked to reduced fronto-striatal brain function under working memory load 97%
- Subjective cognitive decline predicts lower cingulo-opercular network functional connectivity in individuals with lower neurite density in the forceps minor 97%
Similar papers in this journal
Similar papers in this journal
- Normative trajectories of R1, R2* and magnetic susceptibility in basal ganglia on healthy ageing 97%
- Dynamic network features of functional and structural brain networks support visual working memory in aging adults 96%
- When Age Tips the Balance: a Dual Mechanism Affecting Hemispheric Specialization for Language 96%
Similar papers in this journal
- Functionally annotated electrophysiological neuromarkers of healthy ageing and memory function 96%
- High spatial overlap but diverging age-related trajectories of cortical MRI markers aiming to represent intracortical myelin and microstructure 96%
- Voxel-wise Intermodal Coupling Analysis of Two or More Modalities using Local Covariance Decomposition 96%
Similar papers in this journal
- Whole-brain connectivity during encoding: age-related differences and associations with cognitive and brain structural decline 97%
- Age-dependent changes in the dynamic functional organization of the brain at rest - a cross - cultural replication approach 97%
- Age-dependent contribution of domain-general networks to semantic cognition 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.