Zhaoyuan Gong1, Murat Bilgel2, Matthew Kiely1, Curtis Triebswetter1, Luigi Ferrucci3, Susan M. Resnick2, Richard G. Spencer1, and Mustapha Bouhrara1
1Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States, 2Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, United States, 3Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, United States
Synopsis
Keywords: Neurodegeneration, Aging, Myelin
Myelin plays an essential
role in the normal functioning of the central nervous system. However, how
myelination influences longitudinal changes in cognitive performance,
especially in cognitively normal (CN) individuals, remains unclear. Using a linear
mixed-effects regression analysis, we examined the association between myelin
content and changes in cognitive domain scores obtained over several years
prior to the time of the MRI scan. We demonstrated strong and statistically
significant relationships between myelin content and the rates of change in
cognitive performance in several white matter regions. These findings highlight
the importance of white matter, specifically myelin integrity, in cognitive
functioning.
INTRODUCTION
Myelin enables the proper
functioning of the human brain (1-3).
Besides promoting efficient electrical impulse transmission through the facilitation
of saltatory nerve conduction, growing evidence indicates that myelin may
perform additional functions of fundamental importance. Therefore, any
compromise to the myelin integrity can lead to functional and cognitive
impairments. Indeed, studies conducted on mice have shown that myelin synthesis
decreases substantially during aging, consequently contributing to the decline
in cognitive function (4).
These findings and evidence from human studies (5, 6)
raise the possibility that altered myelin content may underlie cognitive
deficits in neurodegenerative diseases, including mild cognitive impairment and
Alzheimer’s disease (AD). However, despite this compelling evidence of a close
relationship between myelin status and cognitive performance, the effect of
myelin content on changes in cognition in normative aging has not been
previously evaluated. In this work, using linear mixed-effects regression
analysis, we examined the association between myelin content, measured using
either myelin water fraction (MWF, sensitive and specific) or longitudinal
relaxation rate (R1, sensitive but nonspecific), and changes in cognitive
domain scores of memory, attention, executive function and verbal fluency
measured retrospectively over several years prior to the time of MRI.METHODS
Participants
The study
sample was limited to 123 cognitively normal participants from the Baltimore
Longitudinal Study of Aging (BLSA) and the Genetic and Epigenetic Signatures of
Translational Aging Laboratory Testing (GESTALT). At each visit, cognitive
domain scores were obtained for memory, attention, executive function, and
verbal fluency. Detailed neuropsychological testing descriptions can be found
in previous publications (7).
MRI acquisition of in vivo myelin content
All MRI scans were performed on a
3 T whole-body Philips MRI system (Achieva, Best, The Netherlands) using the
internal quadrature body coil for transmission and an eight-channel
phased-array head coil for signal acquisition. Under the approval of the
institutional review board, all participants underwent the BMC-mcDESPOT imaging
protocol. Detailed scan protocol can be found in previous publications (8-10).
For each participant, a whole-brain R1 map and a whole-brain MWF map were
generated and registered to the Montreal Neurological Institute (MNI) template.
Our regions of interest (ROIs) included the whole brain, frontal, parietal,
temporal, occipital, and cerebellum of WM defined using MNI in FSL. Within each
ROI, the mean MWF and R1 values were calculated.
Statistical analysis
Using separate linear
mixed-effects models for each of the four cognitive domains and each of the six
WM ROIs, we assessed associations between regional MWF or R1 and retrospective
changes in verbal fluency, executive function, memory, or attention. The
explicit regression model is given by:
$$$\text{Cog}_{ij}=\beta_0+\beta_{\text{age}}\times\text{age}_i+\beta_{\text{sex}}\times\text{sex}_i+\beta_{\text{race}}\times\text{race}_i+\beta_{\text{EDY}}\times\text{EDY}_i+\beta_{\text{time}}\times\text{time}_{ij}+\beta_{\text{MRI}}\times\text{MRI}_i+\beta_{\text{time $\times$ MRI}}\times\text{MRI}_i \times\text{time}_{ij}+\epsilon_{ij}+b_i,$$$
where $$$\text{Cog}_{ij}$$$ is the cognitive domain (i.e., verbal fluency, memory, executive function, or attention) score of subject $$$$i$$$ at time-point $$$j$$$.RESULTS & DISCUSSION
Figure 1 (A, B) shows the
histogram of R1 and MWF derived from the whole brain white matter. We did not
find cross-sectional associations between R1 or MWF in any ROI and cognitive
domain scores to be statistically significant. However, lower R1 was associated
with steeper longitudinal decline in executive function and verbal fluency, and
lower MWF was associated with steeper longitudinal decline in executive
function for all six ROIs (Table 1). Additionally, higher R1 levels in the
occipital WM and cerebellar WM were associated with a reduced rate of decline
in memory. The significant associations in the whole brain WM region as shown
as an example in Figure 1 (C, D, E). Only executive function was associated
with MWF out of the four cognitive domains we investigated, consistent with
previous MRI observations of associations between deficits in executive
function and white matter hyperintensity load (11, 12).
Whereas associations with R1 additionally included verbal fluency and memory.
We speculate the additional associations for R1 is partially the result of the
sensitivity but non-specificity of R1 to various physiological parameters other
than myelination.
In light of the increasing
limitations of the amyloid hypothesis, alterations in myelination have been
suggested as a pathophysiologic etiology of Alzheimer's disease and,
potentially, other dementias (13-15).
Establishing the evidence between lower myelination and rapid cognitive decline
offers new windows for therapeutic interventions for Alzheimer's disease and
dementia. For the first time, our results demonstrated a direct relationship
between myelin content and the rate of changes in cognition in CN individuals.
According to these findings, myelin integrity may determine longitudinal
cognition performance in CN individuals and may be a sensitive biomarker for
predicting cognitive changes at an early stage of neurodegenerative disease.CONCLUSIONS
In this longitudinal retrospective study, we
showed that myelin content is associated with retrospective changes in
cognitive performance. This work motivates further studies on the relationship
between myelin deficits and cognitive impairment in neurodegenerative disease.
These studies may lead to new neuroimaging biomarkers of brain microstructure
as well as more rational design of therapeutic interventions. Acknowledgements
This work was supported by the Intramural Research Program of the
National Institute on Aging of the National Institutes of Health. References
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