Cheuk Ying Tang1, Victoria X Wang2, Johnny C Ng2, Venkatesh Mani2, Sarah Horn3, James Murrough3, Chloe Solomon2, Willem Mulder2, Valentin Fuster4, Dennis Charney5, Ahmed A Tawakol6, Lisa Shin7, Matthias Nahrendorf8, and Zahi A Fayad9
1Radiology & Psychiatry, Translational and Molecular Imaging Institute at Mount Sinai, New York, NY, United States, 2Radiology, Translational and Molecular Imaging Institute at Mount Sinai, New York, NY, United States, 3Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Psychiatry, Neuroscience & Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 6Cardiology, Massachusetts General Hospital, Boston, MA, United States, 7Psychology, Tufts University, Medford, MA, United States, 8Center for Systems Biology, Massachusetts General Hospital, Boston, MA, United States, 9Radiology, Medicine & Cardiology, Translational and Molecular Imaging Institute at Mount Sinai, New York, NY, United States
Synopsis
We used both FDG PET and MRI to study the relationship between neuropsychological stress and inflammation in a PTSD population. Significant correlations between white matter fractional anisotropy and inflammation in the carotid as measured using FD-PET. Resting state scans and functional scans correlated with HAMA and MADRS but no relationship was detected with FDG-PET.Background
It has been shown that psychosocial stress promotes
inflammation in an atherosclerotic mouse model [1]. It is
also know that immune response and atherogenesis are tightly related[2]. Post Traumatic Stress Disorder
(PTSD) is associated with inflammation biomarkers [3]. In
this pilot study we sought to investigate the relationship between inflammation
and brain functional anatomy in a cohort of PTSD patients. FDG-PET of the
carotids was used as an imaging marker of inflammation. Functional MRI and
Diffusion Tensor Imaging protocols were designed to probe the emotional
circuitry and the underlying white matter connectivity.
Methods
Study
participants were recruited from physician referrals, media advertisement, or
an academic outpatient psychiatrist clinic. Patients had chronic PTSD that was
the primary presenting problem as assessed by a trained rater with the
Structured Clinical Interview for DSM-IV (SCID-IV) and the
Clinician-Administered PTSD Scale for DSM-IV (CAPS). Patients completed a
battery of self-report measures that assessed variables that may correlate with
PTSD symptom severity, including comorbid depressive and anxiety symptoms
(MADRS, HAM-A). 11 subjects (ages: 34-61)
were included in this analysis.
All
imaging was performed on a Siemens 3T PET/MR scanner. Every subject received 10
mCi of FDG an allowed to rest for 20 minutes and the Brain PET started after 30
minutes. Anatomical and functional
MRI was obtained simultaneously with PET acquisition. PET emission data is
collected in list-mode for 20 minutes.
MRI protocols were
: anatomical T1: 3D-MP-Rage, TR/TE/TI= 1900/2.5/900ms, FOV=23cm, 176 slices,
Isotropic resolution 1mm x 1mm x 1mm. DTI: Pulsed Gradient Spin Echo,
TR/TE=6300/86ms, 20 gradient directions, b-Value=1200 s/mm2, 44 slices, 2.5mm
thick, FOV=23cm, matrix size 96x96. BOLD scans were acquired using GE-EPI:
TR/TE=2000/27ms. FOV=23cm, matrix size 64x64. 38 slices, thickness=3mm. Three
BOLD scans were acquired: Hariri face task 7:16, Facestroop 6:40 and rsfMRI
10:00. Following the brain scans, at 90 minutes after FDG injection, PET/MRI of
the vasculature (carotids, aorta) was obtained.
Analysis
Brain Images were
analyzed using FSL (www.fmrib.ox.ac.uk/fsl).
We correlated the task effects with FDG-PET values and PTSD rating scales. Hariri
Face Matching task: Contrast images were produced between faces and shapes. Facestroop:
contrast images between incongruent and congruent images were produced. Resting
state fMRI were analyzed using FSL’s MELODIC. Group ICA maps were produced for
20 networks, various networks were detected including default mode, attention
network, visual, motor and auditory. Diffusion Tensor Imaging (DTI): Individual
Fractional Anisotropy (FA) maps were normalized to standard space and group
maps were produced. Skeletonized FA map was extracted for correlation analysis
of the white matter integrity with the plaque inflammation in the carotids
measured by vascular FDG-PET. Vascular
PET data were reconstructed to 5mm3 voxel size using the Fourier
rebinning–iterative algorithm. Maximal and average standardized uptake values
(SUVs) were recorded on contiguous 5-mm-thick axial slices of the carotids and
aorta from circular regions of interest (ROIs) encompassing the vessel wall.
SUV from the background veins will also be registered. The mean and maximum
target to background ratios (TBR, vessel wall SUV divided by background SUV) as
well as the TBR of the most disease segment (MDS) was calculated as used in
several previous studies.
Results
DTI: Fractional
anisotropy (FA) was significantly correlated (negative) with TBR in various
white matter tracts (Fig 1). FA was also significantly correlated with several PTSD
rating scales. RSfMRI: The bilateral DLPFC was significantly correlated with CAPS
(a PTSD symptom scale) (Fig 2). Connectivity
with increasing CAPS. Hariri: the anterior cingulate was positively correlated
with HAMA and MADRS when fearful faces were presented (Fig 3). Facestroop: ACC
positively correlated with CAPSM under incongruent conditions (Fig 4).
Discussion
Despite the relatively small n (11) in this pilot study, fractional
anisotropy correlated with vascular FDG uptake. This negative correlation was detected
diffusely over whole brain suggesting an association between white matter
damage and vascular inflammation. The two tasks driven emotional task showed
positive correlation in the anterior cingulate with the MADRS and HAMA rating
scales. This is consistent with some of the PTSD fMRI literature that suggests
hyperactivity [4]. We
note that despite a significant correlation between FA and FDG uptake, there
was no significant correlations detected between the functional scans and FDG
uptake. This might be explained by compensatory mechanism of the PTSD brain.
These results suggests that a larger
study is warranted.
Acknowledgements
No acknowledgement found.References
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