Xinyuan Miao1, Lin Shi1, Yan Zhuo2, and Yihong Yang3
1Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, Hong Kong, 2Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, People's Republic of, 3National Institute on Drug Abuse, NIH, Baltimore, MD, United States
Synopsis
The
functional lateralization of the brain was modulated by the menstrual cycle of
women, while the mechanism of which still need to investigate.In this study, we
used interhemispheric functional connectivity of the resting-state functional
MRI to investigate changes in the symmetrical interhemispheric correlations in
women’s different menstrual phases. Our results showed that the brainstem and
cerebellum had significantly higher interhemispheric correlations in the early
follicular phase than in the mid-luteal phase.Purpose
A
number of studies have investigated alternations in spatial abilities, emotions
and resting-state brain activities
1 during the female
menstrual cycle, and the menstrual cycle was found to influence the
lateralization in many tasks
2,3. In this study, we
used a voxel-mirrored homotopic connectivity (VMHC)
4 method to
investigate the correlation of every pair of symmetrical interhemispheric
voxels in the whole brain, and we hypothesized that the VMHC would be modulated
by menstrual cycle phases in the healthy females.
Methods
Sixteen
healthy, right-handed women (age 24.1±3.3 yrs) were enrolled in the study with
written informed consent. All participants had natural menstrual cycle (cycle
29 -32 days) without using hormonal contraceptives. The participants were asked
to record the date of their menstrual onset the month prior to the experiment, and
reported regular menstrual cycles. On a Siemens 3T Trio Tim MRI system, the participants
were scanned twice, once: during the
early follicular phase (low level of estrogen and progesterone in the 0th
- 3rd day of the menstrual cycle), and also during their
mid-luteal phase (high level of estrogen and progesterone in the 20th - 24th
day of the menstrual cycle). Participants were counterbalanced with controls to
remove effects caused by unfamiliarity with the scanning environment.
Two Both scans were resting
state fMRI scans were performed on allin which
participants (with kept eyes
closed,
while and remaining remained awake
during a total acquisition time of 12 min. A gradient-echo EPI sequence covering
the whole brain was used with the following parameters: including: TR/TE/FA =
2900ms/30 ms/90°, matrix = 64×64, FOV = 192 mm×192
mm2, bandwidth = 2232
Hz/Px, 48 axial slices, thickness/gap = 2.5/0.5 mm.
To correct for geometric distortion, a field map was obtained using a gradient
echo sequence after the resting-state fMRI scans. Finally, a 3D MP-RAGE sequence
was used to acquire T1-weighted images to be used as anfor
anatomic reference (voxel size = 1 mm3 isotropically).
The
images were processed using SPM12 with conventional steps including discarding
the first 8 volumes, slice timing correction, geometric distortion correction using
field maps, and image realignment, segmentation, smoothing with an 8 mm kernel,
and bandwidth filter of 0.01-0.08 Hz. Except that we normalized the functional
images to an ICBM symmetric template in the MNI space. The VMHC maps (Fisher z-transformed Pearson
correlations) of the bilateral homotopic voxels were calculated using REST
toolbox (http://restfmri.net/forum/), which were used for the group analysis
of paired-t test between the early follicular and mid-luteal phases. The unilateral
hemispheric gray-matter mask was used in the AlphasSim correction
(http://rfmri.org/dpabi). And then we investigated whether the resulting
significant clusters had altered functional connectivity in different menstrual
phases. The significant clusters in the left and right hemispheres were
extracted separately as ROIs to get the functional connectivity, and we compared
the differences of functional connectivity between the
different menstrural cycle
phases. The paired-t test results were thresholded at p<0.05, AlphaSim corrected.
Results
We
observed that the early follicular phase showed significantly higher (p<0.05, AlphaSim
corrected with a signal voxel p <0.05 and cluster size = 3872 mm
3)
VMHC than the mid-luteal phase in the cerebellum, brainstem, limbic system and
parahippocampa gyrus. And then the significant clusters were selected as the
left and right ROIs separately. The left and right ROIs showed significantly
higher functional connectivity in the early follicular phase than in the mid-luteal phase (AlphaSim
corrected p<0.05, with a signal voxel p <0.05, cluster size = 15232 mm
3
for the left ROI and 19280 mm3 for the right ROI). The functional
connectivity of the left ROI was significantly higher in the precuneus and
medial parietal cortex, while those of the right ROI included not only the
precuneus, but also the medial prefronal cortex, and bilateral middle temporal
cortex.
Discussion
Many
previous studies have reported the menstrual cycle of women would influence the
lateralizations of language and spatial cognitions, presumably due to the
fluctuations of steroid hormones during the menstrual cycle
3. And only a few works have been
investigating the role of crebellum or brainstem in the premenstrual dysphoric
disorder
5. Our results provided evidence that
the modulation of the lateralization of the menstrual cycle may lie in the very
‘basic’ regions of the brain such as the brainstem and cerebellum, as well as
the regions of precuneus and medial prefrontal cortex, which were similar to
the ‘hubs’ of the default mode network.
Conclusion
Our results showed that the
interhemispheric functional connectivity was modulated by the menstrual cycle,
which may shed light on investigating the mechanism of the varied functional
cerebral lateralizations across menstrual cycle.
Acknowledgements
The work described in this paper was
supported by a grant from the Research Grants Council of the Hong Kong Special
Administrative Region, China (Project No.: CUHK 14113214), a grant from The
Science, Technology and Innovation Commission of Shenzhen Municipality(Project
No. CXZZ20140606164105361), and the direct grant at CUHK (Project No.: 4054229)
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