Xi Chen1, Dost Ongur1, and Fei Du1
1McLean Hospital; Harvard Medical School, Belmont, MA, United States
Synopsis
Failure to suppress default-mode network (DMN) activity
during tasks and reduced anti-correlations between DMN and other brain networks
at rest has been observed in various psychiatric disorders. However, the molecular mechanisms underlying this phenomenon are poorly
understood. It has been shown that the neurotransmitter concentrations in DMN
modulate the brain functional activities and connectivities in the healthy
brain. In the current study, it was observed that the relationship between DMN
neurotransmitter concentrations and the activities of brain functional network
breaks down in first-episode psychosis patients. This finding provides
opportunities for developing novel treatment strategies and earlier
interventions for psychosis.
Introduction
Schizophrenia is
a severe mental disorder characterized by hallucinations, disorganized thought,
impaired emotional and motivational processes, and cognitive dysfunction.
Approximately 1.1% of the population over the age of 18 suffers from this
condition. Researchers have sought to identify biomarkers of brain and behavior
disorders for the past two decades, yet they are still in the very initial
stages. However, the recent development of novel neuroimaging techniques hold
promise for the identification of biomarkers based on brain function,
structure, and metabolites. One of the most reliable observations from neuroimaging
studies, deactivation of the human brain’s default mode network (DMN)(1) is regarded as suppression of internal
activity to support external task-related processes. Failure to suppress DMN
activity during tasks and reduced anti-correlation between DMN and other brain
networks at rest has been observed in various psychiatric disorders (2,3). However, the cellular and molecular
mechanisms underlying this phenomenon are poorly understood.
At the cellular
level, neuronal activity is regulated by multiple neurochemical processes
including cycling of glutamate (Glu) and GABA, the major excitatory and
inhibitory neurotransmitters in the central nervous system. There has been
considerable interest in the role of glutamatergic neurotransmission in the
pathophysiology of schizophrenia (4). Determining the nature of glutamatergic
abnormalities in schizophrenia may prove useful in understanding symptomatology
and in developing novel treatment strategies. By combining functional MRI (fMRI) and magnetic resonance spectroscopy
(MRS) techniques, it has been shown how regional neurotransmitters modulate
brain functional activity in a series of previous publications (5-7). Particularly, in a recent paper published
in Cerebral Cortex (6), we measured the static neurotransmitters
in the medial prefrontal cortex (MPFC) and dorsolateral prefrontal cortex
(DLPFC) and their relationship with the brain activation/deactivation during
the Sternberg working memory task as well as the internetwork connectivity
between DMN and the control network (CN) during resting-state and task
activation.
In the current study, we extended previous
research to first episode (FE) schizophrenia patients and their relatives. Working
with FE SZ patients, we can obviate any medication effects and the toxic
effects of chronic psychosis. MPFC Glu and GABA concentrations, as well as the
resting-state functional connectivity were measured. The relationship between
the neurotransmitters and the functional connectivity between DMN and CN was
also examined.Methods
57 subjects, including 20 schizophrenia patients (SZ), 17 relatives (RL)
and 20 healthy controls (HC), were recruited in the current study. The MRI/MRS
protocols was applied on a Siemens 3 T Trio scanner using a 32-channel volume
coil: a high-resolution anatomical scan (5 min), resting-state fMRI (6 min x 2
runs), followed by MRS (20 min for localized shimming, MEGA-PRESS and
semi-LASER).
Single-voxel proton MRS was acquired at MPFC with a
voxel size 30 × 20 × 30 mm3. A modified version of MEGA-PRESS
optimized in house for GABA detection was acquired with the following
parameters: TE/TR = 68/3000 ms and total 192 averages (scan time=10 min); the
editing pulses applied alternatively at frequency of 1.9 or 7.5 ppm interleaved
with the averages. A semi-LASER sequence with optimized TE = 28 ms and TR = 3 s
and 64 averages (scan time = 4 min) was used to measure Glu and Gln from the
same regions as MEGA-PRESS. Fastmap shimming was performed before MRS scans to
ensure the full widths at half maxima (FWHM) of water resonance <12 Hz.
Spectra with unsuppressed water was also acquired for eddy-current correction
and quantification reference. The quantification was performed using LCModel.
Resting-state
fMRI was collected using a single-shot gradient-echo echo-planar imaging
sequence. The imaging parameters were: TR/TE = 2500/30 ms; FA = 78°; slice
thickness/gap = 4/0 mm; 39 slices; FOV = 220 × 220 mm2 (3.44 × 3.44
mm2 in-plane resolution). The anatomical data was acquired for
structural reference using a MP-RAGE sequence (256 × 256 × 122 matrix size; 1 ×
1 × 1.28 mm3 spatial resolution; TI/TR/TE = 1100/1600/2.25 ms; flip
angle = 12°). The fMRI was processed in the DPARSF software. The seed region of functional connectivity, MRS
voxel location, and representative spectra of semi-LASER and MEGA-PRESS were
presented in Figure 1.Results and discussions
MPFC Glu and GABA concentrations, as well as the resting-state
functional connectivity between MPFC and DLPFC were measured. Elevated Glu
level in the MPFC in SZ was found, but there was no significant change in GABA (Figure
2). A significant reduction in the functional anti-correlation connectivity
between MPFC and DLPFC was also observed in SZ (Figure 3). These findings were
consistent with previous reports (8-10). Furthermore, it was observed for the first
time that the relationship between MPFC neurotransmitter concentrations and the
functional anti-correlation that is seen in healthy people was compromised in
first-episode psychosis patients (Figure 4). Coordinated activity within and
differential activity between DMN and CN is a critical feature of brain
organization. These findings imply that DMN glutamatergic neurotransmission
dysfunction has an adverse impact on the interaction between DMN and CN, and it
would be very interesting to better understand this dysregulation. With novel
insights into neurotransmitters abnormalities and network activities, it
provides opportunities for developing novel treatment strategies and earlier
interventions for psychosis.Acknowledgements
This work was supported by: K24MH104449 (DO), R01MH114982 (FD, DO)References
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