Timo Roine1,2, Oskari Kantonen3, Ulrika Roine1, Sami Virtanen4, Jani Saunavaara4,5, Riitta Parkkola4, Ruut Laitio6, Olli Arola6, Marja Hynninen7, Juha Martola8, Heli M Silvennoinen8, Marjaana Tiainen9, Risto O. Roine10, Harry Scheinin6, and Timo Laitio6
1Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland, 2Turku Brain and Mind Center, University of Turku, Turku, Finland, 3Turku PET Centre, University of Turku and the Hospital District of Southwest Finland, Turku, Finland, 4Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland, 5Department of Medical Physics, Turku University Hospital, University of Turku, Turku, Finland, 6Division of Perioperative Services, Intensive Care and Pain Medicine, Turku University Hospital, University of Turku, Turku, Finland, 7Division of Intensive Care Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland, 8Department of Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland, 9Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland, 10Division of Clinical Neurosciences, Turku University Hospital, University of Turku, Turku, Finland
Synopsis
Mortality after out-of-hospital cardiac arrest is
high, and there is a substantial need for new biomarkers to improve the
identification of patients with poor outcome. Therefore, we investigated structural brain
connectivity networks in patients after out-of-hospital cardiac arrest in order
to detect differences related to survival. We found decreased global efficiency
and strength from MRI scans acquired in a median of 53 hours (IQR 47-64) after
OHCA to be related to mortality at 6 months after OHCA. In addition, several
regions with decreased strength and local efficiency were found, most significantly
in the pallidum, and superior frontal and supramarginal cortices.
Introduction
Mortality after successfully resuscitated
out-of-hospital cardiac arrest (OHCA) is high, from 41% to 86%, primarily due
to hypoxic-ischemic brain damage1-2. In addition, the survivors have
a high risk for a variety of neurological injuries3. Poor outcome
cannot be reliably predicted by the multimodal approaches currently in clinical
use4-5. Therefore, there is a substantial need for new biomarkers to
improve the identification of patients with poor neurological outcome.
Diffusion magnetic resonance
imaging (dMRI) has enabled the noninvasive investigation of neural tracts and
their microstructural properties in vivo6. However, traditional dMRI methods underestimate
the extent of ischemic injury during the first three days after OHCA7.
Therefore, we used a new method, structural brain connectivity
networks, to investigate comatose patients after OHCA. The hypothesis
was that the brain networks reconstructed from MRIs acquired in a median of 53
hours (interquartile range 47-64 hours) after OHCA would be different in
survivors compared to those who died within 6 months of the OHCA.Methods
This study is part of the randomized phase II clinical drug trial
(Xe-Hypotheca trial; ClinicalTrials.gov identifier: NCT00879892) in which 224
consecutive comatose survivors of witnessed out-of-hospital cardiac arrest from
an initial shockable rhythm admitted to the Turku and Helsinki University
hospitals between August 2009 and September 2014 were screened for eligibility
as described earlier8. A
total of 110 patients were enrolled and allocated in a 1:1 ratio to receive
either therapeutic hypothermia treatment alone for 24 hours or inhaled xenon in
combination with hypothermia for 24 hours. We have previously reported the
primary and secondary clinical end points of the Xe-HYPOTHECA trial8-9.
Of the 110 patients, 97 underwent magnetic resonance imaging in a median (inter-quartile
range) time of 53 hours (47-64) after OHCA and 96 were included in this study.
Patients were kept intubated and sedated until MRI was performed
regardless of neurological status. The study was
approved by the ethics committee of the Hospital District of Southwest Finland
and the institutional review boards of the Helsinki University Hospital and the
Finnish Medicines Agency. All patients’ next of kin or legal representative
gave written informed assent within 4 hours after hospital arrival.
Diffusion MRI data were acquired by using 20 gradient
orientations imaged twice with a b‑value of 1000 s/mm2 with a
resolution of 2 mm × 2 mm × 3 mm. Sagittal T1‑weighted MRI data
were acquired with a resolution of 1 mm × 1 mm × 1 mm.
The DW data were denoised10
and corrected for subject motion11, bias field12, eddy
current induced13, and echo planar imaging distortions14.
The parcellation of the T1-weighted images was
performed in FreeSurfer15 using Desikan-Killiany atlas16
combined with the subcortical gray matter structures segmented with FSL's17
FIRST18, resulting in 84 gray matter regions. Structural brain
connectivity networks19-20 were reconstructed in MRtrix21
by combining the parcellation and the streamlines reconstructed with CSD-based
tractography22. Anatomically constrained tractography23 was
used to improve the validity of the reconstructed streamlines. The number of
streamlines connecting a pair of regions was used as the connection weight24,
resulting in connectivity matrices of 84 × 84.
Graph theoretical analysis was used to
investigate both global and local properties of the structural brain
connectivity networks19-20. In the global analyses, we investigated
betweenness centrality25, normalized global efficiency26,
normalized characteristic path length27, normalized clustering
coefficient28-29, small-worldness27, degree, and strength.
Local node-level analyses were performed for local efficiency26 and
strength. Normalization was performed by comparing to 100 randomized networks
with equal weight, degree, and strength distributions30. Age,
gender, and imaging site were used as covariates in all statistical analyses.
False discovery rate (FDR) was used to correct for multiple comparisons with a
significance threshold of α=0.05.Results
In the
global network properties, we found decreased global efficiency, degree, and strength
in those who died after OHCA compared to the survivors, as shown in Figure 1.
In the local analyses, we found 8 regions with
decreased strength, and 25 regions with decreased local efficiency in those who
did not survive compared to the survivors, as shown in Figure 2. No regions
showed increases in these metrics.Discussion
In this study, survival was associated with
global and local properties of the structural brain connectivity networks in
patients after OHCA. Decreased integration and strength of the networks
reconstructed based on MRI data acquired in a median of 53 hours (interquartile
range 47-64 hours) after OHCA were found in patients who did not survive 6
months after OHCA. In addition, 8 regions with decreased strength and 25
regions with decreased efficiency were associated with mortality. Right
hemisphere was more significantly affected. Of these regions, four were
significantly different in both strength and local efficiency: right pallidum, superior
frontal cortex, supramarginal cortex, and pars orbitalis. Bilateral differences
were observed in the pallidum, superior frontal, superior temporal, transverse
temporal, supramarginal, and medialorbitofrontal cortices.
A limitation of the
study is a suboptimal acquisition protocol for CSD due to a low b-value and a
low number of gradient orientations31.Conclusion
We
found decreased integration, degree, and strength of the structural brain
connectivity networks to be associated with mortality after OHCA. In addition,
decreased strength and efficiency of several nodes were associated with higher
mortality.Acknowledgements
T.R.
received funding from the Emil Aaltonen Foundation, Finland and the Finnish
Cultural Foundation, Finland. U.R received funding from Finnish Medical
Foundation and Arvo and Lea Ylppö Foundation, Finland.References
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