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1,2 *, 1, Marco M. Garavaglia 3,4, 3,5,6, Michael D. Cusimano 5,7,8, 5,8, Sunit Das 5,7,8 and 1,2 • 1Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada • 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada • 3Department of Anaesthesia, University of Toronto, Toronto, ON, Canada • 4Department of Anaesthesia, Toronto Western Hospital, Toronto, ON, Canada • 5Keenan Research Centre, St. Michael's Hospital, Toronto, ON, Canada • 6Department of Anaesthesia, St. Michael's Hospital, Toronto, ON, Canada • 7Division of Neurosurgery, St. Michael's Hospital, Toronto, ON, Canada • 8Department of Surgery, University of Toronto, Toronto, ON, Canada Object: Preoperative functional magnetic resonance imaging (fMRI) remains a promising method to aid in the surgical management of patients diagnosed with brain tumors. For patients that are candidates for awake craniotomies, surgical decisions can potentially be improved by fMRI but this depends on the level of concordance between preoperative brain maps and the maps provided by the gold standard intraoperative method, direct cortical stimulation (DCS).

There have been numerous studies of the concordance between fMRI and DCS using sensitivity and specificity measures, however the results are variable across studies and the key factors influencing variability are not well understood. Thus, the present work addresses the influence of technical factors on fMRI and DCS concordance. Methods: Motor and language mapping data were collected for a group of glioma patients ( n = 14) who underwent both preoperative fMRI and intraoperative DCS in an awake craniotomy procedure for tumor removal. Normative fMRI data were also acquired in a healthy control group ( n = 12).

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The fMRI and DCS mapping data were co-registered; true positive (TP), true negative (TN), false positive (FP), and false negative (FN) occurrences were tabulated over the exposed brain surface. Sensitivity and specificity were measured for the total group, and for the motor and language sub-groups. The influence of grid placement, fMRI statistical thresholding, and task standardization were assessed. Correlations between proportions of agreement and error were also carefully scrutinized to evaluate concordance in more detail.

Results: Concordance was significantly better for motor vs. Language mapping. There was an inverse relationship between TP and TN with increasing statistical threshold, and FP dominated the total error. Sensitivity and specificity were reduced when tasks were not standardized across fMRI and DCS. Conclusions: Although the agreement between fMRI and DCS is good, variability is introduced by technical factors that can diminish the quality of patient data.

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Neurosurgeons should evaluate the usefulness of fMRI data while considering that (a) discordance arises primarily from FP fMRI results; (b) there is an inherent trade-off between sensitivity and specificity with fMRI statistical threshold; and (c) best results are achieved using batteries of tasks that are standardized across both mapping methods. Introduction In recent years, maps of brain activity derived from functional magnetic resonance imaging (fMRI) have become more common and valued as part of the surgical management of patients diagnosed with brain tumors.