Identifying the perfusion deficit in acute stroke with resting-state functional magnetic resonance imaging
Yating Lv MS
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
Mind and Brain Institute and Berlin School of Mind and Brain, Charité and Humboldt University, Berlin, Germany
Search for more papers by this authorDaniel S. Margulies Dr. rer. nat.
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
Mind and Brain Institute and Berlin School of Mind and Brain, Charité and Humboldt University, Berlin, Germany
Search for more papers by this authorR. Cameron Craddock PhD
Virginia Tech Carilion Research Institute, Roanoke, VA
Search for more papers by this authorXiangyu Long BS
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
Search for more papers by this authorBenjamin Winter Dr. med
Center for Stroke Research, Charité–Universitätsmedizin, Berlin, Germany
Department of Neurology, Charité–Universitätsmedizin, Berlin, Germany
Search for more papers by this authorDaniel Gierhake
Center for Stroke Research, Charité–Universitätsmedizin, Berlin, Germany
Department of Neurology, Charité–Universitätsmedizin, Berlin, Germany
Search for more papers by this authorMatthias Endres Prof. Dr. med.
Mind and Brain Institute and Berlin School of Mind and Brain, Charité and Humboldt University, Berlin, Germany
Center for Stroke Research, Charité–Universitätsmedizin, Berlin, Germany
Department of Neurology, Charité–Universitätsmedizin, Berlin, Germany
Neurocure Cluster of Excellence, Charité–Universitätsmedizin, Berlin, Germany
Search for more papers by this authorKersten Villringer Dr. med.
Center for Stroke Research, Charité–Universitätsmedizin, Berlin, Germany
Department of Neurology, Charité–Universitätsmedizin, Berlin, Germany
Search for more papers by this authorJochen Fiebach Priv.-Doz. Dr. med.
Center for Stroke Research, Charité–Universitätsmedizin, Berlin, Germany
Department of Neurology, Charité–Universitätsmedizin, Berlin, Germany
Search for more papers by this authorCorresponding Author
Arno Villringer Prof. Dr. med.
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
Mind and Brain Institute and Berlin School of Mind and Brain, Charité and Humboldt University, Berlin, Germany
Center for Stroke Research, Charité–Universitätsmedizin, Berlin, Germany
Department of Neurology, Charité–Universitätsmedizin, Berlin, Germany
Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Stephanstrasse 1A, 04103 Leipzig, GermanySearch for more papers by this authorYating Lv MS
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
Mind and Brain Institute and Berlin School of Mind and Brain, Charité and Humboldt University, Berlin, Germany
Search for more papers by this authorDaniel S. Margulies Dr. rer. nat.
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
Mind and Brain Institute and Berlin School of Mind and Brain, Charité and Humboldt University, Berlin, Germany
Search for more papers by this authorR. Cameron Craddock PhD
Virginia Tech Carilion Research Institute, Roanoke, VA
Search for more papers by this authorXiangyu Long BS
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
Search for more papers by this authorBenjamin Winter Dr. med
Center for Stroke Research, Charité–Universitätsmedizin, Berlin, Germany
Department of Neurology, Charité–Universitätsmedizin, Berlin, Germany
Search for more papers by this authorDaniel Gierhake
Center for Stroke Research, Charité–Universitätsmedizin, Berlin, Germany
Department of Neurology, Charité–Universitätsmedizin, Berlin, Germany
Search for more papers by this authorMatthias Endres Prof. Dr. med.
Mind and Brain Institute and Berlin School of Mind and Brain, Charité and Humboldt University, Berlin, Germany
Center for Stroke Research, Charité–Universitätsmedizin, Berlin, Germany
Department of Neurology, Charité–Universitätsmedizin, Berlin, Germany
Neurocure Cluster of Excellence, Charité–Universitätsmedizin, Berlin, Germany
Search for more papers by this authorKersten Villringer Dr. med.
Center for Stroke Research, Charité–Universitätsmedizin, Berlin, Germany
Department of Neurology, Charité–Universitätsmedizin, Berlin, Germany
Search for more papers by this authorJochen Fiebach Priv.-Doz. Dr. med.
Center for Stroke Research, Charité–Universitätsmedizin, Berlin, Germany
Department of Neurology, Charité–Universitätsmedizin, Berlin, Germany
Search for more papers by this authorCorresponding Author
Arno Villringer Prof. Dr. med.
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
Mind and Brain Institute and Berlin School of Mind and Brain, Charité and Humboldt University, Berlin, Germany
Center for Stroke Research, Charité–Universitätsmedizin, Berlin, Germany
Department of Neurology, Charité–Universitätsmedizin, Berlin, Germany
Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Stephanstrasse 1A, 04103 Leipzig, GermanySearch for more papers by this authorAbstract
Temporal delay in blood oxygenation level–dependent (BOLD) signals may be sensitive to perfusion deficits in acute stroke. Resting-state functional magnetic resonance imaging (rsfMRI) was added to a standard stroke MRI protocol. We calculated the time delay between the BOLD signal at each voxel and the whole-brain signal using time-lagged correlation and compared the results to mean transit time derived using bolus tracking. In all 11 patients, areas exhibiting significant delay in BOLD signal corresponded to areas of hypoperfusion identified by contrast-based perfusion MRI. Time delay analysis of rsfMRI provides information comparable to that of conventional perfusion MRI without the need for contrast agents. ANN NEUROL 2013.
Supporting Information
Additional supporting information can be found in the online version of this article.
| Filename | Description |
|---|---|
| HEP_23763_sm_SuppInfo.doc6.5 MB | Supporting Information |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
References
- 1 Dani KA, Thomas RG, Chappell FM, et al. Computed tomography and magnetic resonance perfusion imaging in ischemic stroke: definitions and thresholds. Ann Neurol 2011; 70: 384–401.
- 2 Merino JG, Warach S. Imaging of acute stroke. Nat Rev Neurol 2010; 6: 560–571.
- 3 Sorensen AG, Buonanno FS, Gonzalez RG, et al. Hyperacute stroke: evaluation with combined multisection diffusion-weighted and hemodynamically weighted echo-planar MR imaging. Radiology 1996; 199: 391–401.
- 4 Wardlaw JM. Neuroimaging in acute ischaemic stroke: insights into unanswered questions of pathophysiology. J Intern Med 2010; 267: 172–190.
- 5 Karonen JO, Vanninen RL, Liu Y, et al. Combined diffusion and perfusion MRI with correlation to single-photon emission CT in acute ischemic stroke. Ischemic penumbra predicts infarct growth. Stroke 1999; 30: 1583–1590.
- 6 Schlaug G, Benfield A, Baird AE, et al. The ischemic penumbra: operationally defined by diffusion and perfusion MRI. Neurology 1999; 53: 1528–1537.
- 7 Astrup J, Siesjo BK, Symon L. Thresholds in cerebral ischemia—the ischemic penumbra. Stroke 1981; 12: 723–725.
- 8 Rother J, Schellinger PD, Gass A, et al. Effect of intravenous thrombolysis on MRI parameters and functional outcome in acute stroke <6 hours. Stroke 2002; 33: 2438–2445.
- 9 Rosen BR, Belliveau JW, Vevea JM, Brady TJ. Perfusion imaging with NMR contrast agents. Magn Reson Med 1990; 14: 249–265.
- 10 Villringer A, Rosen BR, Belliveau JW, et al. Dynamic imaging with lanthanide chelates in normal brain: contrast due to magnetic susceptibility effects. Magn Reson Med 1988; 6: 164–174.
- 11 Tong Y, Frederick BD. Time lag dependent multimodal processing of concurrent fMRI and near-infrared spectroscopy (NIRS) data suggests a global circulatory origin for low-frequency oscillation signals in human brain. Neuroimage 2010; 53: 553–564.
- 12 Ostergaard L, Weisskoff RM, Chesler DA, et al. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis. Magn Reson Med 1996; 36: 715–725.
- 13 Schellinger PD, Latour LL, Wu CS, et al. The association between neurological deficit in acute ischemic stroke and mean transit time: comparison of four different perfusion MRI algorithms. Neuroradiology 2006; 48: 69–77.
- 14 Mihara F, Kuwabara Y, Tanaka A, et al. Reliability of mean transit time obtained using perfusion-weighted MR imaging; comparison with positron emission tomography. Magn Reson Imaging 2003; 21: 33–39.
- 15 Petersen ET, Zimine I, Ho YC, Golay X. Non-invasive measurement of perfusion: a critical review of arterial spin labelling techniques. Br J Radiol 2006; 79: 688–701.
- 16 Bokkers RP, Hernandez DA, Merino JG, et al. Whole-brain arterial spin labeling perfusion MRI in patients with acute stroke. Stroke 2012; 43: 1290–1294.
Citing Literature
