Amanda J Taylor1, Xiaowei Zou2, Jung Hwan Kim2, and David Ress2
1Neuroscience, Baylor College of Medicine, Houston, TX, United States, 2Baylor College of Medicine, Houston, TX, United States
Synopsis
A simple audiovisual
stimulus combined with a fast-paced task evoked a strong HRF across a majority
of cerebral cortex during four scanning sessions to measure the repeatability
of BOLD over time. HRFs were characterized by spatial and temporal parameters
and showed remarkable correlation across the time points, which spanned three
hours, three days, and three months. Results showed that HRFs are repeatable
for consistent quantification of neurovascular coupling.
Introduction
In previous studies, BOLD fMRI characterization revealed hemodynamic
response functions (HRFs) with significant variation in magnitude and profile
across subjects and sessions1,2. However, these experiments were
performed in small regions of cortex and in large voxels. In our previous work,
we found consistent spatial patterns across many healthy subjects by using a
brief stimulus and high functional resolution across whole cortex3. Sensory
regions, driven heavily by our multimodal stimulus, showed strong activation
amplitudes and temporal dynamics. To quantify neurovascular function across the
brain, HRF measurements should be consistent within a healthy subject over
time. In this study, we measured the BOLD HRF in four sessions with time points
that span intervals of three hours, three days, and three months. High
resolution HRF data from each session were compared directly on a voxel-wise
basis within the subject to quantify variation across time.Methods
Subjects (N = 8) fixated upon a central colored
dot on a display. Stimulus onset was cued by a change of dot color for 0.5
seconds before a 2-second stimulation period. Visual stimulation consisted of
three circular regions of randomly flickering colored dots appearing
sequentially for 667 ms (Figure
1a). Each region was colored red, yellow, or green, and had a
corresponding audio stimulus of filtered white noise, medium pitch for yellow;
low pitch for red; and high pitch for green. Subjects were tasked with
responding to each dot display by pressing the button that matched the color
and sound presented. 16 HRF measurements were collected in each run, and 5 runs
were collected per session to yield 80 measurements for each subject. Imaging
was performed on a 3T Siemens Trio scanner equipped with a 32-channel head coil
with prescriptions covering all of cortex (Figure 1b). FMRI data were collected
using an SMS-accelerated EPI sequence (G = 2, SMS = 3) to obtain 2-mm isotropic
voxels across the entire brain with TR = 1.25 s. Functional data were registered to individual volume anatomies, collected with an MP-RAGE sequence
(0.7-mm isotropic voxels). Each anatomy was segmented
using FreeSurfer4 to extract gray and white matter. After image processing, data
were analyzed to obtain HRF time series and parameters including peak amplitude, peak onset
time, time-to-peak, and full-width-at-half-maximum (FWHM) in gray-matter voxels
(Figure 1c).Results
HRF parameter maps show
highly correlated spatial patterns of activation and peak amplitude across the four
time points, shown for one subject in Figure 2. Temporal parameters, TTP and
FWHM, are much less correlated. Analysis of the HRF time series with principal
component analysis was performed for eight subjects that reveal highly
correlative temporal dynamics across time points. The first component (Figure
3a) represents the dominant temporal HRF features; and the second component
(Figure 3b) projects the majority of residual HRF variation.Discussion and Conclusion
Our results demonstrate that our stimulus and task protocol
evoked a strong and repeatable HRF across the majority of cortex. High spatial
correlations of HRF parameters is consistent with our previous findings in
which amplitude and activation was very similar across subjects, but temporal
parameters were less correlative. However, principal component analysis
revealed that underlying temporal variance is consistent across time points
within a subject. This longitudinal HRF study can give insight into the
physiology of any observed changes in the HRF, such as distinguishing CBF from
CMRO2, and provide a further exploration in neurovascular coupling.Acknowledgements
Work supported by NIH R21HL108143, NSF BCS1063774, NIH R01NS095933 References
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