Jia Liu1, Mingrui Xia2, Qiyong Gong1, and Yong He2
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, People's Republic of, 2State Key Laboratory of Cognitive Neuroscience and Learning& IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China, People's Republic of
Synopsis
We used a data-driven graph theoretical approach—whole-brain functional
connectivity strength (FCS) mapping to investigate functional connectivity
patterns in 24 patients with RDD, 40 patients with NDD, and 48 healthy
comparison subjects. Our study indicated that when compared with HC, the
alteration of FCS in NDD group was mainly located in the medial frontal gyrus
while the alterations of RDD group were located in the non-medial frontal areas
and NDD demonstrated lower FCS in the limbic regions which was not obvious in
the RDD group. Meanwhile, lower FCS in the default mode network and visual
recognition network was observed in the group with NDD when compared with the
group with RDD.Purpose
To assese the whole-brain functional
connectivity patterns in patients with refractory depressive disorder (RDD) and
non-refractory depressive disorder (NDD) by using resting state functional
connectivity MRI.
Methods
Sixty-four major depressive disorder patients who had not received
antidepressant treatment and 48 healthy control (HC) subjects underwent a resting-state
functional magnetic resonance imaging scan (R-fMRI). Patients were treated with
antidepressant after MR imaging for 6 weeks. The NDD was defined as a reduction
of HAMD score more than 50% after treatment. Finally, 24 patients with RDD, 40
patients with NDD were identified. Image preprocessing was carried out using
Statistical Parametric Mapping (SPM8, http://www.fil.ion.ucl.ac.uk/spm) and
Data Processing Assistant for Resting-State fMRI (DPARSF). Then, whole-brain
functional connectivity strength (FCS) analysis was performed to estimate the
global communicational capacity of brain regions. Statistical analysis was
performed using a voxel-based, one-way analysis of covariance (ANCOVA) with age
and gender as covariates, followed by two-sample t-tests post-hoc. The general
linear model analyses were also performed between the HAMD scores and FCS in
each of the patient group.
Results
Relative to HC group, RDD group showed significantly reduced FCS mainly
in the cortical regions (Figure 1B); while RDD group showed significantly
increased FCS in the cortical-limbic circuits when compared with NDD group (Figure
1D). Meanwhile, compared with the HC group, NDD demonstrated decreased FCS within cortical-limbic-thalamic circuits (Figure 1C). In
the group with RDD, positive correlation between the Hamilton Depression Rating
Scale scores and FCS values in the bilateral cuneus and the right calcarine
fissure were also observed (Figure 2).
Discussion
We used R-fMRI
and functional connectivity strength mapping approaches to study whole-brain
networks in the RDD, NDD and healthy controls. Both the RDD and NDD groups
demonstrated lower FCS in the cortical regions when compared with HC group. Some
differences between RDD and NDD patients which might be used to distinguish
these two conditions. The alteration of FCS in NDD group was mainly located in
the medial frontal gyrus while the alterations of RDD group were located in the
non-medial frontal areas although both groups observed altered FCS in the
frontal areas. Additionally, compared with the HC group, NDD demonstrated lower
FCS in the limbic regions which was not obvious in the RDD group. Meanwhile, lower
FCS in the default mode network (DMN) and visual recognition network was
observed in the group with NDD when compared with the group with RDD. Finally, we
observed positive correlations between the HAMD scores and FCS values in the
bilateral cuneus and the right calcarine fissure in group with RDD.
Conclusion
In conclusion,
the cortical brain regions showed abnormal FCS in both patient groups might be
the intrinsic brain regions that should have changed in MDD. When compared with
HC, the alteration of FCS in NDD group was mainly located in the medial frontal
gyrus while the alterations of RDD group were located in the non-medial frontal
areas and NDD demonstrated lower FCS in the limbic regions which was not
obvious in the RDD group. These might suggest that patients with RDD can be
treated by the treatment methods target non-medial frontal areas and explain
why not all depressed patients are sensitive to the pharmacological treatment
even treated by the same psychiatrist. Lower FCS in the DMN and visual
recognition network was observed in the group with NDD when compared with the
group with RDD. These results suggest that RDD and NDD are characterized by
distinct functional deficits in distributed brain regions or brain networks.
Acknowledgements
This
study was supported by the National Natural Science Foundation (Grant Nos. 81220108013, 81227002 and 81030027),
the Beijing Natural Science Foundation (Grant No. Z151100003915082), the
Fundamental Research Funds for the Central Universities (Grant No. 2015KJJCA13) and
Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT,Grant No.
IRT1272) of
China. Dr. Gong would also like to
acknowledge the support from his Changjiang Scholar Professorship Award (Award
No. T2014190) of China and the CMB Distinguished Professorship Award (Award No.
F510000/ G16916411) of USA.References
No reference found.