Dynamic 1H MRS study of water T2* and water concentration contributions to water signal intensity changes in premotor cortex of the norm and in early stage schizophrenia during hemodynamic response to a single stimulus.
Svetlana Sergeevna Batova1, Andrei Valerievich Manzhurtsev2, Maxim Vadimovich Ublinskii2,3, Irina Sergeevna Lebedeva4, Tolibjon Abdullaevich Akhadov3, Petr Evgenevich Menshchikov5, and Natalia Alexandrovna Semenova2,3,5

1Lomonosov Moscow State University, Moscow, Russian Federation, 2Emanuel Institute of Biochemical Physics of Russian Academy of Sciences, Moscow, Russian Federation, 3Radiology, Scientific Research Institute of Children's Emergent Surgery and Trauma, Moscow, Russian Federation, 4Scientific Centre of Mental Health, Moscow, Russian Federation, 5Semenov Institute of Chemical Physics of Russian Academy of Sciences, Moscow, Russian Federation

Synopsis

Using dynamic 1H MRS we have separated T2* and water concentration contributions to changes of MRS detectable water signal in motor cortex after activation by a single short stimulus. We revealed effects of schizophrenia on both parameters in the period of hemodynamic response to stimulation. Decreased changes of T2* and water concentration in schizophrenia might reflect a lower vasodilation caused by a single short stimulus.

Purpose

Functional MRI is convenient for neurological and psychiatric diseases research. However, physiological and biochemical mechanisms involved in hemodynamic response (HR) processes are still subjects of studies. HR and metabolic processes are closely related. To reveal these relations, dynamic spectroscopy was used [1]. Early stage schizophrenia was characterized with decrease of hemodynamic response function (HRF) [2] and altered NAA kinetics after neurostimulation [1]. HRF contains spin-spin relaxation (T2*) and water concentration (C) information. The purpose of this study is to separate T2* and C contributions to water signal changes in premotor cortex activated by a single stimulus in the norm and in early stage schizophrenia using dynamic spectroscopy.

Materials and methods.

The subjects of study were 8 right-handed healthy subjects and 6 right-handed and age-matched patients with early stage schizophrenia. Philips Achieva 3.0T and 8-chanel SENSE Head coil were used. Standard anatomic examination and fMRI study (GE-EPI, TE=35ms, TR=3000ms) with single stimulus (pressing a special button on presentation of sound signal) were conducted. Spectroscopic voxel (PRESS, TE=30ms, TR=3000ms, size 20x10x15 mm3) was positioned to activated zone of premotor cortex (Fig.1). Dynamic spectroscopy was performed, when FID signals were recorded at the moments t = 0, 3, 6, 9, 12, 15, 18 and 21 s after pressing the button with a right hand forefinger. For each t, 97 FIDs were acquired, resulting in 776 FIDs for every subject. FIDs were processed individually: FT, phase correction, water peak amplitude and area quantitation were performed. Amplitude and area of water signal for each time point were averaged and normalized on initial (t=0) values.

Statistical analysis was performed using Mann-Whitney criterion.

Results

Formulas describing relationship between Amplitude and Area of water peak with T2* and C values were derived by FID signal interpreted in discrete form followed by Discrete FT application to it. For steady-state phase-corrected spectrum, signal intensity can be estimated as:

$$$Ampl=A*C*exp(-TE/(T_2^*))*[exp(-αN/BW)-1]/([exp(-α/BW)-1])$$$

$$$Area=A*C*exp[(-TE/(T_2^*))*N]$$$

where α=1/T2*, BW–bandwidth, A–const, C–MR-detectible concentration, N–number of sample points of water signal.

C(t) and T2*(t) values were calculated using these formulas. For the norm, T2*(t) and C(t) with HRF(t) (obtained in [2]) are shown in Fig. 2. At maximum of HRF (t=6s) we observe statistically significant (p<0.01) reduction of C that returns to its initial value after 3s, and T2* increase (p<0.01) with an undershoot (p<0.05) after 3s. No statistically significant reduction (p=0.07) of C at (t=6s) as well as no increase of C at (t=9s) in schizophrenia, at this time point C differs (p<0.05) between norm and schizophrenia (Fig.3). T2* decrease (t=9s) in schizophrenia is smoothed: there is no undershoot and T2* is ~1% higher (p<0.01) than in the norm (Fig.4).

Discussion

In the norm at (t=6s) after single stimulus blood flow increases in activated cortex. According to Monro-Kellie hypothesis, the MR-undetectable (not irradiated by excitation pulse of PRESS) water from blood flow partly replaces MR-detectable water located in voxel before. The next spectrum of dynamic study reveals this water at (t=9s) after stimulus. This returns C to its initial value. Our estimation (based on neuronal glucose metabolism rate [3]) shows that the volume of metabolic water is 1.5–2 orders of magnitude less than the C change revealed in present study.

T2* maximum at the point of HRF maximum is caused by increase of [oxiHb/deoxiHb]. The maximal increase of T2* obtained in this study using spin-echo (PRESS) is ~1%, while maximal increase of HRF obtained using gradient echo (GE-EPI) [2] is ~3.5%. This agrees with [4] ([GE-BOLD]/[SE-BOLD]~3.5).

The T2* undershoot at (t=9s) in the norm is caused by blood deoxiHb accumulation [5]. A smoother ΠΆ2* decrease at (t=9s) in schizophrenia contributes to real T2* contrast decrease. This agrees with decreased HRF in schizophrenia [2].

Absence of C decrease and T2* undershoot in schizophrenia reflects less inflow of MR-undetectable water protons and [oxyHb/deoxiHb] increase as compared to the norm. It might reflect decreased vasodilation. Since vasodilation is connected to EAAT glutamate transporters activity and glutamate-to-receptor binding in neurons and astrocytes [6], results of this study point to glutamate transport and receptor binding deviations in schizophrenia.

Conclusion

Using dynamic spectroscopy we separated T2* and C of water in activated cortex. Schizophrenia-induced differences in these parameters after single stimulus are likely to be caused by reduced vasodilation.

Acknowledgements

No acknowledgement found.

References

1. M.V. Ublinskii, N.A. Semenova, T.A. Akhadov, I.A. Melnikov, S.D. Varfolomeev. Relaxation kinetics in the study of neurobiological processes using functional magnetic resonance imaging and spectroscopy. Russian Chemical Bulletin. February 2015, Volume 64, Issue 2, pp 451-457.

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3. Gerald A Dienel. Brain lactate metabolism: the discoveries and the controversies. Journal of Cerebral Blood Flow & Metabolism (2012) 32, 1107–1138.

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5. Alberto L Vazquez, Mitsuhiro Fukuda and Seong-Gi Kim. Evolution of the dynamic changes in functional cerebral oxidative metabolism from tissue mitochondria to blood oxygen. Journal of Cerebral Blood Flow & Metabolism (2012) 32, 745–758.

6. David Attwell, Alastair M. Buchan, Serge Charpak, Martin Lauritzen, Brian A. MacVicar, Eric A. Newman. Glial and neuronal control of brain blood flow. Nature (11 November 2010) 468, 232–243.

Figures

Figure 1. Spectroscopy voxel located in activated premotor cortex

Figure 2. Hemodynamic response function (HRF), T2* and water concentration dynamics (C) in response to single stimulus in the norm, * p<0.01, ** - p<0.05 relative to initial values

Figure 3. C(t) of the norm and of schizophrenia, * - p<0.05 relative to the norm

Figure 4. T2*(t) of the norm and of schizophrenia, * - p<0.01 relative to the norm



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