Aaron Trefler1, Neda Sadeghi2, Adam Thomas1, Carlo Pierpaoli2, Chris Baker1, and Cibu Thomas3
1National Institute of Mental Health, Bethesda, MD, United States, 2National Institute of Child Health and Human Development, Bethesda, MD, United States, 3Center for Neuroscience and Regenerative Medicine, Bethesda, MD, United States
Synopsis
Automated measures of brain morphometry
derived from T1-weighted (T1W) images are typically used as
proxy measures to investigate the relation between brain structure and behavior.
However, the computation of T1W morphometric measures can be influenced
by subject-related factors such as head motion1 and level of hydration2. Here, we provide a comprehensive
assessment of the impact of time-of-day (TOD) on widely used measures of brain
morphometry in healthy young adults. Our results show that the apparent volume
of all major tissue compartments as well as measures of brain morphometry such
as cortical thickness and gray matter density are significantly influenced by
TOD. Purpose
To assess the effect of time-of-day (TOD) on automated measures of brain morphometry derived from T1-weighted (T1W) images.
Introduction
A
recent study reported subtle, yet significant changes in total brain volume
(TBV) from morning to evening in an exceptionally large group of patient
populations as well as healthy elderly individuals [3]. However, it is unknown
whether: (a) TOD can influence measures of brain morphometry derived from T1W images in studies
involving relatively smaller groups of young healthy individuals; (b) TOD may differentially affect the apparent
volume of the three main tissue compartments (gray matter (GM); white matter
(WM), and cerebrospinal fluid (CSF) (c) specific brain structures and cortical
regions are disproportionately impacted; (d) the apparent change in TBV impacts
surface-based T1W morphometry measures (e.g. cortical thickness) as well as Voxel-Based-Morphometry (VBM) measures.
Methods
A group of 19 healthy young adults (mean
age: 25.8 years, range: 20-38, 10 female) were scanned during two visits (each
visit scheduled two weeks apart) on a 3 Tesla GE MR750 scanner using a GE
32-channel head coil. During both visits, participants were scanned from 10AM
to 12PM and from 2PM to 4PM, with a two-hour rest period in between. Two T1W
MPRAGE volumes were acquired during each session (scan parameters: accelerated
sagittal 3D MPRAGE, 25 cm FOV, 256x256 matrix slice, 1 mm slice thickness, TR:
7 ms, TE: 3.42 ms, flip angle: 7 deg.
For the volumetric and surface-based analysis,
we used the automated longitudinal pipeline implemented in FreeSurfer (version
5.3) to build subject-specific templates, and each participant’s images were
re-processed using information from their subject-specific template
4 to derive various volumetric and
surface-based metrics. All volumetric measurements were expressed as a
percentage of intra cranial volume (ICV), which was automatically estimated by FreeSurfer. Surface-based
measures, such as cortical thickness and surface area as well as indices of brain curvature were
automatically extracted using FreeSurfer’s automatic reconstruction procedure
and the spatial topography of the TOD effect on different cortical regions was
investigated using an automatic parcellation procedure [5].
For the VBM analysis
6 (FSL-VBM version 1.0), all
T1W images were processed through a modified VBM-FSL pipeline
designed for longitudinal analysis
7. To test the relationship between each brain morphometry measure and
TOD, we applied the linear mixed effect (LME) model using the lme4 package in R
8. For each measure of brain
morphometry, the model used consisted of fixed effects (i.e. TOD) for both
intercept and slope and a random effect (i.e., the subject-specific morphometric
measure) to account for individual variations and estimate a prediction for
each value of the T1W structural measure being modeled. The residual
error between the prediction and actual measurement was calculated and used for
significance testing.
Results
Our results reveal that between morning
and afternoon: (a) A highly significant reduction in apparent brain volume
(1.145% of ICV/12 h) can be detected even in a small group of adult healthy volunteers
(b) The apparent volume of all the three major tissue compartments, GM, WM and
CSF are influenced, and the magnitude of the TOD effect varies across the
tissue compartments (Fig. 1); (c) The increase in CSF volume was associated
with the decrease in GM and WM volumes; (d) Measures of apparent cortical thickness, surface
area and GMD were all affected by TOD (Fig. 2), while measures such as,
curvature indices and sulcal depth were not impacted; (e) The effect of TOD
appears to have a greater impact on morphometric measures of the frontal and
temporal lobe compared to other major lobes of the brain (Fig. 2).
Discussion
Our
findings suggest that automatically derived measures of brain morphometry that
are thought to reflect properties such as cortical thickness, surface area, GM volume and GMD, change significantly from morning
to afternoon, even in the absence of any experimental manipulation. The
magnitude of the TOD related changes in measures such as cortical thickness is
greater than the apparent change attributed to interventions, such as memory
training
9. Moreover, the spatial
topography of the TOD effect on apparent cortical thickness and GMD indicate
that the frontal and temporal lobes are disproportionately impacted. This
suggests that controlling for the effect of TOD is crucial for proper
interpretation of apparent structural differences measured using T
1W
morphometry with longitudinal and cross-sectional experimental designs. The
strong correlation between changes in CSF volume and changes in GM and WM
volumes from morning to afternoon, as well as reports of similar changes in the
literature
10 suggests that the TOD
effect is a physiological phenomenon that warrants further investigation.
Acknowledgements
This
work was supported by Intramural Research Programs of NICHD and NIMH (Grant
Number MH002909-07). Salary support for CT was provided by funding from the
Department of Defense in the Center for Neuroscience and Regenerative Medicine.References
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