A vascular-task response dependency and its application in functional imaging of brain tumors.
Autor: | Voss HU; Department of Radiology, Weill Cornell Medicine, New York, NY, USA. Electronic address: hev2006@med.cornell.edu., Peck KK; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA; Functional MRI Laboratory, Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA., Petrovich Brennan NM; The New School, New York, NY, USA., Pogosbekyan EL; Department of Radiology, Burdenko Neurosurgery Center, Moscow, Russia., Zakharova NE; Department of Radiology, Burdenko Neurosurgery Center, Moscow, Russia., Batalov AI; Department of Radiology, Burdenko Neurosurgery Center, Moscow, Russia., Pronin IN; Department of Radiology, Burdenko Neurosurgery Center, Moscow, Russia., Potapov AA; Department of Radiology, Burdenko Neurosurgery Center, Moscow, Russia., Holodny AI; Department of Radiology, Weill Cornell Medicine, New York, NY, USA; Functional MRI Laboratory, Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA; Brain Tumor Center, Memorial Sloan-Kettering Cancer Center, New York, NY, USA; Department of Neuroscience, Weill-Cornell Graduate School of the Medical Sciences, New York, NY, USA. |
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Jazyk: | angličtina |
Zdroj: | Journal of neuroscience methods [J Neurosci Methods] 2019 Jul 01; Vol. 322, pp. 10-22. Date of Electronic Publication: 2019 Apr 13. |
DOI: | 10.1016/j.jneumeth.2019.04.004 |
Abstrakt: | Purpose: Preoperative functional MRI (fMRI) is limited by a muted BOLD response caused by abnormal vasoreactivity and resultant neurovascular uncoupling adjacent to malignant brain tumors. We propose to overcome this limitation and more accurately identify eloquent areas adjacent to brain tumors by independently assessing vasoreactivity using breath-holding and incorporating these data into the fMRI analysis. Methods: Local vasoreactivity using a breath-holding paradigm with the same timing as the functional motor and language tasks was determined in 16 patients (9 glioblastomas, 1 anaplastic astrocytoma, 5 low grade astrocytomas, and 1 metastasis) and 6 healthy control subjects. We derived an fMRI model based on an observed vaso-task response dependency that takes into account the altered hemodynamics adjacent to brain tumors. Results: In both healthy controls and brain tumor subjects, we found a statistical dependency between breath-hold and task BOLD response. In tumor subjects, activation maps that take into account this vaso-task dependency demonstrated clinically meaningful areas of activation that were not seen using the task-only analysis in about half of the cases studied. This included localization of language areas adjacent to brain tumors. Conclusions: The present preliminary results demonstrate that neurovascular uncoupling known to affect the accuracy of BOLD fMRI adjacent to brain tumors may be, at least partially, overcome by incorporating an observed vaso-task dependency in the BOLD signal analysis. (Copyright © 2019 Elsevier B.V. All rights reserved.) |
Databáze: | MEDLINE |
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