Hui Zhang1,2, Pui Wai Chiu1,3, Simon S.Y. Lui4,5, Karen S.Y. Hung4, Raymond C.K. Chan5,6,7, Queenie Chan8, P.C. Sham3,7, Eric F.C. Cheung4, and Henry Ka Fung Mak1,2,3
1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2Alzheimer's Disease Research Network, Hong Kong, Hong Kong, 3State Key Laboratory of Brain and Cognitive Sciences, Hong Kong, Hong Kong, 4Castle Peak Hospital, Hong Kong, Hong Kong, 5Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China, 6Department of Psychology, University of Chinese Academy of Sciences, Beijing, China, 7Department of Psychiatry, The University of Hong Kong, Hong Kong, Hong Kong, 8Philips Healthcare, Hong Kong, Hong Kong
Synopsis
To investigate the major
psychopathology of first-episode schizophrenia (SCZ), the triple network model consisting
of central executive network (CEN), salience network (SN) and default mode
network (DMN) was employed. Group-level independent component analysis and group
comparison between schizophrenia patients and healthy subjects within networks
were applied. In the results, the SCZ group presented significant
hyperconnectivity in bilateral insula within SN and hypoconnectivity in occipital
lobe and medial prefrontal cortex within DMN. In addition to that, connectivity
in bilateral insula within SN showed significant correlation with PANSS scores.
Introduction
The abnormalities of
multiple resting state networks have been detected in patients suffering from
schizophrenia (SCZ)1, 2. A triple network model which
consists of central executive network (CEN), salience network (SN) and default
mode network (DMN) has been applied to investigate the dysfunctions of networks
in schizophrenia.3 However, studies
have got inconsistent results and many of them failed to shed light on the core
psychopathology of schizophrenia. To understand more about this disease, our
study evaluated the intrinsic resting functional connectivity of the triple
network model in patients and healthy control (HC) using independent component
analysis (ICA), and correlation of clinical profiles with the network abnormalities. Methodology
Twenty first-episode schizophrenia subjects and seventeen
healthy controls participated in the study. Positive and Negative Syndrome
Scale (PNASS) was used to measure the severity of symptoms of patients. (Table
1) All participants were scanned with a Phlips-3T MR scanner
(Achieva
TX, Philips Healthcare, Best, The Netherlands) using a standard 8
channel head coil.
Structural images were acquired with 3D fast field
echo sequence (3D-T1-FFE sagittal, TR=7ms, TE=3.2ms, Flip angle=8°, voxel
size=1×1×1mm3, FOV=240×240×160mm3). Functional images were collected
by using a gradient-echo-planar sequence (parameters: TR=2000ms, TE=30ms, flip
angle=90°, voxel size=3×3×4mm3) sensitive to
blood-oxygen-level-dependent (BOLD) contrast. For the resting-state fMRI,
subjects were instructed to open their eyes and view the central fixation cross
without thinking of anything in particular.
After the preprocess of the
fMRI data (DPABI, http://rfmri.org/dpabi), the analysis of data was
performed using Group ICA Of fMRI Toolbox (GIFT). SN, CEN and DMN were
identified from 25 group-level spatial intrinsic connectivity maps. Two sample
t test was used to calculate the significance between two groups (FDR<0.05,
cluster size>270mm3). The relationships between clinical features
and peak value of network functional connectivity were estimated based on the
Pearson correlation method in SPSS package (SPSS Inc., Chicage, USA).Results
Figure 1 showed the independent components (ICs) that
best matched the SN, CEN and DMN for both the first episode schizophrenia and
healthy groups. Compared with healthy group, significant increase was found in bilateral
insula within SN and statistical decrease could be seen in medial prefrontal
cortex (MPFC) and occipital lobe within DMN in SCZ group (Figure 2). There was
no region of interest found in the group comparison of CEN. Significant
correlation was found between PANSS scores and hyperconnectivity in bilateral
insula (Table 2), but not between PANSS with hypoconnectivity in occipital and MPFC.Discussion and conclusion
The primary role of SN was to modulate the switching
between the internally self-related cognition (DMN) and external oriented
attention (task-based activity)4. There might be a
link between the decrease of DMN connectivity with visual symptoms and increase
of SN with emotional disturbances. Further investigation will be needed for such
relationships. Also, the hyperconnectivity in insula seems to be an important
feature of first episode schizophrenia with clinical positive and negative symptoms,
which could be characterised as a biomarker of SCZ.Acknowledgements
No acknowledgement found.References
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