Hui Qiu1, Hailong Li1, Yingxue Gao1, Lingxiao Cao1, Jing Liu1, Weijie Bao1, Yingying Wang1, Zilin Zhou1, Suming Zhang1, Mengyue Tang1, Lianqing Zhang1, Lu Lu1, Xiaoqi Huang1, and Qiyong Gong1
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
Synopsis
Most
previous studies took DMN as a whole and measured its FC abnormalities on a
network level while recently, researchers revealed DMN has three subsystems (core,
dMPFC and MTL subsystem). Few studies had explored FC on subsystem levels in
first-episode drug-naïve (FEDN) MDD patients. We used seed-based whole-brain
functional connectivity analysis in a relatively large sample of FEDN MDD
patients, we found hyper-connectivity between DMN three subsystems and frontoparietal
network as well as cerebellum network, and hypo-connectivity between dMPFC
subsystem and dorsal attention network. These findings might provide a more comprehensive
understanding for DMN FC changes in MDD.
Introduction
Default
mode network (DMN) is a set of brain regions that were more active during
passive task condition and is suggested to have three subsystems (core, dMPFC
and MTL subsystem) (1,
2). Changes on subsystem
levels might be a better clue to understanding major depressive disorder’s
(MDD) pathology(3). Few studies had explored
functional connectivity (FC) on subsystem levels in first-episode drug-naïve (FEDN)
MDD patients. We conducted a seed-based whole-brain voxel-wise functional connectivity
(FC) analysis to see whether there were any DMN subsystem FC differences in FEDN
MDD and whether these changes are relevant to clinical symptoms.Methods
115
DSM-IV criteria diagnosed, FEDN MDD patients and 137 demographically matched
healthy controls (HCs) were recruited (Table 1). The Hamilton depression scale (HAMD)
and Hamilton anxiety scale (HAMA) were used to measuring patients’ symptom
severity. A battery of neurocognitive assessments like the Stroop Color-Word
Test, wsiconsin card sorting test, trail making A/B test and ect. were
performed on MDD patients by a trained professional. Informed consent was
obtained from all subjects.
All
participants underwent examination using a 3.0 T MR scanner with an 8-channel
phased-array head coil. Rs-fMRI images were acquired using a gradient-echo
echo-planar imaging sequence (TR/TE=2000/30 ms, flip angle 90°, 30 slices,
slice thickness 5 mm, field of view 240×240 mm², matrix 64×64 , voxel size
3.75×3.75×5 mm³). The 3-dimensional (3D) T1-weighted images were acquired using
a spoiled gradient-recall sequence (TR/TE=1900/2.26 ms, flip angle 9°, 176 axial
slices, slice thickness 1 mm, field of view 24×24 mm² and matrix 256×256).
We
used Data processing assistant for Resting-State fMRI (DPARSF) software to
preprocess images and SPM software were used to perform functional connectivity
analysis. We chose left-lateralized 11 ROIs (6 mm radius sphere) to present DMN
3 subsystems according to several previous works (Figure 1). Similar to
Andrews-Hanna’s study, only left-lateralized ROIs were used to simplify the
analysis, prevent biasing the structure toward the strong correlations
exhibited between mirrored (right/left) seed regions, and avoid the strong
laterality observed for the lateral parietal ROIs(2,
4). For each participant,
we extracted the seed-to-whole brain voxel BOLD time series, which were
converted using Fisher's r-to-z transform to allow for parametric testing.
Two-sample t-tests (two-tailed) with Bonferroni corrections for multiple
comparisons were used to investigate group differences.Results
In
the core subsystem, compared to HCs, FEDN patients exhibited significantly increased
FC in the following pairs: aMPFC- bilateral cerebellum, bilateral inferior
frontal gyrus (IFG.R/L), right middle frontal gyrus (MFG.R), dACC; PCC-
bilateral cerebellum, right putamen (figure 2a). In the dMPFC subsystem, FEDN
patients showed increased FC between dMPFC- bilateral cerebellum, left
precentral gyrus, right inferior frontal gyrus (IFG.R) and dACC; LTC-right
middle temporal gyrus (MTG.R), right inferior temporal gyrus (ITG.R) and left
precuneus; TempP- bilateral cerebellum, while reduced FC were only found
between LTC (dMPFC subsystem) and left middle temporal gyrus (Figure 2b). In
the MTL subsystem, FEDN patients also demonstrated increased FC between vMPFC-
right cerebellum; Rsp-bilateral cerebellum, dACC, bilateral inferior frontal
gyrus (IFG.R/L), bilateral putamen; PHC- bilateral cerebellum, left inferior
frontal gyrus (IFG.L); HF- dACC, bilateral OFC, left putamen and right middle
frontal gyrus (MFG.R) (Figure 2c).
Our
analysis further revealed the core subsystem and dMPFC subsystem mainly showed
abnormal connectivity with regions in FPN and cerebellum while MTL subsystem has
abnormal connectivity with comprehensive networks (Figure 3). We found HAMD
score correlated with LTC-ITG.R connectivity (r=0.229,
p<0.05) and memory function in neuropsychological assessment was correlated
with PHC-right angular gyrus connectivity (r=0.227,
p<0.05) (Figure 4).Discussion& Conclusion
In current study, we investigated DMN connecitvity
changes in FEDN MDD patients on a subsystem level. Compared to HCs, MDD
patients exhibited wide aberrant hyper-connectivity between DMN three
subsystems and regions belonging to other networks whereas only one
hypo-connectivity was found between dMPFC subsystem and frontoparietal network.
As previous researches have shown that MDD patients have overall decreased FC
within the entire DMN during rumination, our result may manifest a
non-rumination state of our sample(5).
DMPFC
is known to be linked with a variety of cognitive function and the expression
of negative emotion. Positive correlation between HAMD and LTC-ITG.R connectivity
support that dMPFC subsystem abnormalities have the potential to be an imaging
marker for MDD patients(6). MTL subsystem
contributes to autobiographic memory process, positive correlation between
memory function and PHC-right angular gyrus connectivity may explain aberrant
memory function may be induced by abnormal functional connectivity(5).Acknowledgements
This
study was supported by the National Nature Science Foundation (Grant Nos.
81820108018, 81671669, and 82027808) and the Science and Technology Project of
Sichuan Province (Grant No. 2017JQ0001).References
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