Emma Hiukka1, Heta Helalari1, Vesa Korhonen1, and Vesa Kiviniemi1
1Radiology, Oulu University, Oulu, Finland
Synopsis
The detection of functional alterations in psychotic subjects has proven to be a demanding task. In this
study we used ultrafast fMRI to investigate physiological brain pulsations
driving blood and CSF convection in psychotic brain. We detected dichotomized
changes in opposing brain region pulsations between the upper frontal and lower
posterior parts of the brain in all three major brain pulsations. The altered brain
pulsations in psychotic brains may be connected to abnormal convection of metabolites
via CSF and blood providing an physiological basis for the altered reality
experiences in psychosis.
INTRODUCTION
Psychosis is a disruptive symptom of several conditions characterized by a loss of ability to
differentiate reality from internal mind
projections. Recently physiological brain pulsatility measured with fMRI BOLD signal was
found to be altered in schizophrenic subjects1,2, suggesting altered
convection of metabolites in both CSF and blood3. However, it was
unclear which physiological brain pulsation (vasomotor, respiratory or cardiovascular)
was affected and where in the brain.
In order to figure out how exactly the physiological pulsations are altered
in the psychotic state, we used ultrafast fMRI to dissociate the three major
brain pulsations without aliasing in order to comprehensively quantify these changes
in psychotic subjects.METHODS
After Ethical committee approval
and informed consent, 30 psychotic (M/F: 12/16, age 31:22-51 years) subjects
and matched healthy ((M/F: 12/16, age 30:20-57 years) controls were scanned
with a Siemens Skyra 3T scanner using ultrafast 10 Hz whole brain 3D MREG
sequence (TR 100 ms, FA 5°, TE 36
ms, FOV 192 mm3, 3 mm cubic voxel). Routine
FSL MELODIC preprocessing pipeline was performed prior to remove scanner warming
effects and motion effect. Brains were realigned to MNI space after
co-registration with individual T1 3D mprage data.
Each
brain voxel was calculated into an FFT spectrum using AFNI 3dperiodogram.
Individual respiratory belt and SpO2 fingertip reading were used to measure
individual cardiorespiratory frequencies and these data were used to calculate
individual FFT power at the peak frequency power with a +/- 0.05 Hz band on
both sides of the peak. We compared the power of each physiological brain pulsation
statistically in psychotic subjects vs. controls with FSL randomise TFCE (p-value
threshold p < 0.05, FWE corrected) between the groups. Each pulsation power was
also illustrated from tstat group maps.RESULTS
Both the
cardiovascular (Fig.1), and, vasomotor (Fig. 2) related pulsations were reduced
in the upper frontal regions of the brain. Interestingly, the respiratory
pulsation power was significantly increased in the posterior and lower parts of
the brain, c.f. Fig 3. As viewed from the sagittal side view, the brain can be
divided into opposing areas of increased and decreased physiological
pulsations.DISCUSSION
The current results indicate
that psychotic subjects have markedly altered brain pulsations driving both CSF
and blood flow of the brain arguably altering brain homeostatic balance of
substances. The changes occur in primary sensory areas opposing to more frontal
cognitive frontal brain structures with a divisional in between. Compared to
normal sleep related pulsation changes increasing all pulsations in posterior
parts4, the psychotic state seems to add areas of inversely reduced
pulsations in the frontal brain areas.CONCLUSION
The results indicate an altered physiological pulsation in psychotic subjects
suggesting a more physiological origin for the altered state of reality perception.Acknowledgements
This work
was supported by Uniogs/MRC Oulu DP-grant, Pohjois-Suomen Terveydenhuollon
tukisäätiö, JAES-Foundation, Academy of Finland and Aivosäätiö TERVA grant
314497, Academy of Finland Grant 275342, The Finnish Medical Foundation,
Finnish Neurological Foundation, KEVO grants from Oulu University hospital,
Orion Research Foundation, Medical Research Center (MRC) –Oulu, Maire Taponen
Foundation, Finnish Brain Foundation, We wish to acknowledge Jussi Kantola for
data management and reconstruction of MREG data, the CSC – IT Center for
Science Ltd., Finland for generous computational resources.References
1. Saarinen et al, The relationship of genetic susceptibilities for
psychosis with physiological fluctuation in functional MRI data Psychiatry Res
Neuroimaging 2020, 297:111031.
doi: 10.1016/j.pscychresns.2020.111031
2. Saarinen et al., Structural and functional alterations in the brain
gray matter among first-degree relatives of schizophrenia patients: A
multimodal meta-analysis of fMRI and VBM studies Schizophr Res 2020 216:14-23. doi:
10.1016/j.schres.2019.12.023.
3. Kiviniemi V et
al., Ultra-fast magnetic resonance encephalography of physiological brain
activity - Glymphatic pulsation mechanisms? JCBFM 2016, 36(6):1033-45.
4. Helakari et al., Sleep-specific
changes in physiological brain pulsations. BioRxiv 2020, doi.org/10.1101/2020.09.03.280479