Structural and hemodynamical contributions to brain T2* relaxation in schizophrenia, bipolar disorder and siblings
Jie Wen1, Daniel Mamah2, Jie Luo3, Xialing Ulrich1, Deanna Barch4, and Dmitriy Yablonskiy1

1Radiology, Washington University, Saint Louis, MO, United States, 2Psychiatry, Washington University, Saint Louis, MO, United States, 3Research Lab of Electronics, MIT, Cambridge, MA, United States, 4Psychology, Washington University, Saint Louis, MO, United States

Synopsis

Investigating brain structure and functioning by means of tissue-specific T2* relaxation properties in vivo can potentially guide the uncovering of neuropathology in psychiatric illness. In this abstract, R2* (=1/T2*) relaxation rate constant was separated into tissue-specific (R2*t) and hemodynamic BOLD contributions. 17 control, 17 bipolar disorder, 16 schizophrenia, and 12 unaffected schizophrenia sibling participants were scanned. A MANOVA of 38 gray matter regions showed significant group effects for BOLD but not for R2*t. Our results suggest that increased baseline activity in certain brain regions is part of the underlying pathophysiology of specific psychiatric disorders.

Purpose

An advanced version1 of the Gradient Echo Plural Contrast Imaging technique2 is used to measure tissue-specific (R2*t) and hemodynamic BOLD contributions to the gradient recalled echo (GRE) signal to detect changes in brain baseline hemodynamic activity and underlying tissue pathophysiology of subjects with bipolar disorder and schizophrenia.

Methods

The study was approved by Washington University's Institutional Review Board. Participant groups included: 17 healthy controls (CON); 17 bipolar disorder (BPD); 16 schizophrenia (SCZ) and 12 siblings (SIB) of individuals with SCZ who did not have a diagnosis of SCZ or BPD or any other DSM-IV psychotic disorder. Psychopathology was assessed using the Scale for the Assessment of Negative Symptoms (SANS) and the Scale for the Assessment of Positive Symptoms (SAPS)3. Specific subscale scores were summed to derive measures of positive symptoms (i.e. hallucination and delusion subscales), disorganization (i.e. formal thought disorder, bizarre behavior and attention subscales), and negative symptoms (i.e. flat affect, alogia, anhedonia and amotivation subscales). All scanning occurred on a 3 T TRIO Scanner (SIEMENS, Erlanger, Germany). GEPCI data were obtained using a 3D version of the multi-gradient echo sequence with a resolution = 1 × 1 × 3 mm3, FOV = 256 × 192 × 120 mm3, and 11 gradient echoes (min TE = 4 ms; ΔTE = 4 ms; TR = 50 ms; bandwidth = 510 Hz/Pixel; FA = 30°) was used, with a total acquisition time of 6.4 min. Additional phase stabilization echo (the navigator data) was collected for each line in k-space to correct for image artifacts due to the physiological fluctuations4. Effects of field inhomogeneities were removed using the voxel spread function (VSF) approach5. The data were then analyzed on a voxel-by-voxel basis using the following model1:

$$S(TE)=A_{0}\cdot exp(-R2_C^*\cdot TE)\cdot F_{BOLD}\cdot F(TE)$$

$$F_{BOLD}(TE)=1-\frac{\zeta}{1-\zeta}\cdot f_{s}(\delta\omega\cdot TE)+\frac{\zeta}{1-\zeta}\cdot f_{s}(\zeta\cdot\delta\omega\cdot TE)$$

$$C_{DEOXY}=\zeta\cdot n_{Hb}\cdot Hct\cdot (1-Y)=\frac{3}{4}\cdot \frac{\zeta\cdot\delta\omega\cdot n_{Hb}}{\gamma\cdot\pi\cdot\triangle \chi_{0}\cdot B_{0}}$$

where TE is the gradient echo time, R2*t = 1/T2*t is the tissue transverse relaxation rate constant (describing GRE signal decay in the absence of BOLD effect), function FBOLD(TE)6 describes GRE signal decay due to the presence of blood vessel network with deoxygenated blood (veins and adjacent to them part of capillaries), and function F(TE) describes the effects of macroscopic magnetic field inhomogeneities. We used the voxel spread function (VSF) method4 for calculating F(TE). ζ is the deoxygenated cerebral blood volume fraction (dCBV) and δω is the characteristic frequency determined by the susceptibility difference between deoxygenated blood and surrounding tissue. In the equation, Δχ0=0.27 ppm7 is the susceptibility difference between fully oxygenated and fully deoxygenated blood, Y is the blood oxygenation level (with Y = 0 being fully deoxygenated, and Y = 1 being fully oxygenated), Hct is the blood hematocrit, and γ is the gyromagnetic ratio. Herein we describe BOLD effect in terms of integrated parameter CDEOXY - tissue concentration of deoxyhemoglobin. Standard clinical MP-RAGE images and FreeSurfer (Martinos Center for Biomedical Imaging, Harvard) were used to get brain segmentation. R2*t and CDEOXY values for each ROI were defined as the median values within that ROI.

Results

R2*t values of the total white matter and cortical gray matter were not statistically significant (p= 0.3) for different groups. CDEOXY median values used as dependent variables in an age corrected MANCOVA showed significant omnibus group effects. Mean CDEOXY showed a tendency towards increased values in all three non-control groups. The percentage of ROIs with increased mean CDEOXY compared to CON was 92.1% for SCZ, 71.1% for BPD and 81.6% for SIB. Increased superior temporal cortex CDEOXY was found in SCZ (p=0.01), BPD (p=0.01) and SIB (p=0.02), with bilateral effects in SCZ and only left hemisphere effects in BPD and SIB. Thalamic CDEOXY abnormalities were observed in SCZ (p = 0.003), BPD (p = 0.03) and SIB (p = 0.02). R2*t and CDEOXY group z-score means (SD) of the 32 gray matter ROIs parcellated using FreeSurfer are represented on the cortical surface in Fig. 1.

Conclusion

In this study, we found increased CDEOXY in the majority of ROIs of non-control participants, but most notably in the superior temporal cortex and thalamus. These findings could indicate that hyperactivity in these regions is part of the pathophysiology of schizophrenia and bipolar disorder. Developments in GEPCI and related relaxometric methodologies will likely provide more precise distinctions between underlying brain neuropathologies. Results of such studies could be valuable for selecting treatment and identifying those at risk for developing illness.

Acknowledgements

No acknowledgement found.

References

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3. Andreasen NC, Arndt S, Alliger R, Miller D, Flaum M. Symptoms of schizophrenia. Methods, meanings, and mechanisms. Archives of general psychiatry 1995;52(5):341-351.

4. Wen J, Cross AH, Yablonskiy DA. On the role of physiological fluctuations in quantitative gradient echo MRI: implications for GEPCI, QSM, and SWI. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine 2014.

5. Yablonskiy DA, Sukstanskii AL, Luo J, Wang X. Voxel spread function method for correction of magnetic field inhomogeneity effects in quantitative gradient-echo-based MRI. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine 2013;70(5):1283-1292.

6. Yablonskiy DA, Haacke EM. Theory of NMR signal behavior in magnetically inhomogeneous tissues: the static dephasing regime. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine 1994;32(6):749-763.

7. Spees WM, Yablonskiy DA, Oswood MC, Ackerman JJH. Water proton MR properties of human blood at 1.5 Tesla: Magnetic susceptibility, T-1, T-2, T-2* and non-Lorentzian signal behavior. Magnetic Resonance in Medicine 2001;45(4):533-542.

Figures

Fig. 1 Surface maps depict mean R2*t (top), and CDEOXY (bottom) corrected z-scores projected onto cortical ROIs. z-scores were corrected for age, and group means normalized against the control group. ROIs in green (i.e. entorhinal cortex and temporal pole) were not included in our analyses.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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