Synopsis
The temporal properties of the BOLD response,
including inter-trial variability, were studied using a 3D-EPI-CAIPI acquisition
at 7T with TR=400ms. The HRFs of six different brain regions in the motor
network were characterized, showing a reduced post-stimulus undershoot in the
cerebellar regions of interest, as well as differences in peak height, with
higher response amplitude in M1 than any other region and onset time, with the cerebellar
lobule VIII response starting later than the other ROIs. Trial-to-trial
variability was highest in CVIII and lowest in SI.Target Audience
Physicists and neuroscientists interested in fast
sampling sequences for fMRI and/or hrf properties.
Purpose
Temporal resolution in fMRI is typically limited to
2-3s per volume. However, recent developments in acquisition schemes, such as multiband1 and 3D-EPI-CAIPI2 , are
overcoming this constraint. The 3D-EPI-CAIPI sequence can provide whole brain
coverage including the cerebellum, in 400 milliseconds. This allows a precise hemodynamic
response function (HRF) characterization without having to jitter the stimulus
onsets.
The purpose of this study was to investigate the
temporal properties of the BOLD response, including inter-trial variability,
using a high-temporal resolution acquisition at 7T. Several different
HRF parameters, such as time of onset, time to peak and undershoot amplitude, as
well as inter-trial variability, were measured and compared between six brain regions
involved in motor tasks.
Methods
Seven participants (3 females; 19-24 yrs) were scanned
at 7T (Siemens, Germany). Participants performed a bilateral finger
tapping task following a visual cue. Functional ROIs were defined based on a block
task localizer (15s ON, 30s OFF alternated). HRF measurements were then taken
from a 7-minute event-related run in which the subjects moved their fingers once
every 30s.
For the localizer, a 2D EPI (2*2*2mm voxels, 30
coronal-oblique slices, TR/TE: 2500/26ms) was used. For the event-related task,
a 3D-EPI-CAIPI (2*2*2mm voxels, 60 coronal-oblique slices, TR/TE:400/27ms, GRAPPAz:6, ΔCAIPIRINHA:2,
partial Fourier:6/8) was used. Respiratory and cardiac traces were recorded
for physiological noise removal using RETROICOR.
Localizer data were GLM analyzed (spm12, p<0.05)
to define six bilateral ROIs: primary motor cortex (M1), primary sensory cortex
(S1), supplementary motor area (SMA), secondary sensory cortex (S2), cerebellar
lobule V (CV) and cerebellar lobule VIII (CVIII). The S1/M1 boundary was drawn
manually. The timecourses of the within-ROI
voxels were extracted from the realigned 3D-EPI-CAIPI data (CAIPI). Timecourses
were also downsampled for comparison (dsCAIPI; five point average; TR=2sec) and the following was performed on both: Voxel
timecourses were filtered, physiological noise was regressed out and subsequently, timecourses were averaged within ROIs, then normalized to baseline
(two seconds before stimulus onset). Three inverse logit functions3,4 were fitted to
the mean timecourses using the Nelder-Mead Simplex method (Figure 1A,B) to
obtain positive peak height, onset time, time-to-peak, full-width at half
maximum (FWHM) and undershoot amplitude (Figure 1B). Repeated measures
statistics, using a linear mixed model with ROIs as repeated factors, were
performed independently on CAIPI and dsCAIPI results, followed by post-hoc
analysis (significance level p<.05;
FWE ).
Results
The six different ROIs all clearly demonstrate an HRF
(Figure 2). However, the variability of the HRF illustrated by the shaded band
(i.e. mean standard deviation) is important especially for the cerebellar
regions, and is also notably higher in the post-peak period than prior to
stimulus onset. For the CAIPI data, significant differences (p<.05) between ROIs were found for peak
height, onset time, FWHM and the undershoot amplitude (Figure 3). Cerebral regions showed higher peak amplitude
compared to the cerebellar ones, with M1 highest overall. The undershoot
amplitude in CV/CVIII and S2 was significantly smaller than in M1, and also somewhat
smaller than in S1 and SMA. The absence of a post-stimulus undershoot
in the cerebellum is also visible in the time courses (Figure 2). In terms of
timing, the HRF started later for the cerebellum, especially CVIII, than most
of the cerebral ROIs. Trial-to-trial
variability (Figure 2) was highest in CVIII and lowest in SI. Concerning the dsCAIPI,
a main effect was observed only for the height and the FWHM (p<.05) and no significant post-hoc differences
were found.
Discussion
Several significant differences in terms of amplitudes
and timings were observed between different brain regions involved in motor
control when using a TR=400ms 3D-EPI-CAIPI acquisition. This temporal resolution
means trial-to-trial fluctuations can also be studied, showing different behavior
even between S1 and M1. In contrast, the TR=2 of dsCAIPI did
not provide enough information to obtain measurements allowing a good characterization
of the HRF.
In the 400ms CAIPI data, the post-stimulus undershoot
in cerebellar regions was consistently smaller and even absent in several
subjects. The underlying cause could be a vascular phenomenon, such as different vascular
compliance5 in the
cerebellum, or a different post-stimulus neuronal modulation6 from the
cerebrum. The lack of HRF studies targeting the cerebellum and its very
different anatomy from the forebrain still leave both hypotheses
open.
Conclusion
We conclude that the HRFs of six different brain regions exhibit between-region differences, such as a
smaller cerebellar post-stimulus undershoot and high trial-to-trial
stability in the primary sensory area.
Acknowledgements
This work was supported by the Swiss National Science FondationReferences
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