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Brain Behav. 2019 Oct;9(10):e01362. doi: 10.1002/brb3.1362. Epub 2019 Sep 30.

Resting-state functional magnetic resonance imaging versus task-based activity for language mapping and correlation with perioperative cortical mapping.

Author information

1
Department of Neurosurgery, University Hospital of Angers, Angers, France.
2
INSERM CRCINA Équipe 17, Bâtiment IRIS, Angers, France.
3
Department of Neurosurgery, University Hospital of Caen, Caen, France.
4
Angers Medical Faculty, Anatomy Laboratory, Angers, France.
5
Department of Physical Medicine and Rehabilitation, University Hospital of Angers, Nantes, France.
6
Department of Radiology, University Hospital of Angers, Angers, France.
7
Department of Anesthesiology, University Hospital of Angers, Angers, France.
8
LARIS EA 7315, Image Signal et Sciences du Vivant, Angers Teaching Hospital, Angers, France.

Abstract

INTRODUCTION:

Preoperative language mapping using functional magnetic resonance imaging (fMRI) aims to identify eloquent areas in the vicinity of surgically resectable brain lesions. fMRI methodology relies on the blood-oxygen-level-dependent (BOLD) analysis to identify brain language areas. Task-based fMRI studies the BOLD signal increase in brain areas during a language task to identify brain language areas, which requires patients' cooperation, whereas resting-state fMRI (rsfMRI) allows identification of functional networks without performing any explicit task through the analysis of the synchronicity of spontaneous BOLD signal oscillation between brain areas. The aim of this study was to compare preoperative language mapping using rsfMRI and task fMRI to cortical mapping (CM) during awake craniotomies.

METHODS:

Fifty adult patients surgically treated for a brain lesion were enrolled. All patients had a presurgical language mapping with both task fMRI and rsfMRI. Identified language networks were compared to perioperative language mapping using electric cortical stimulation.

RESULTS:

Resting-state fMRI was able to detect brain language areas during CM with a sensitivity of 100% compared to 65.6% with task fMRI. However, we were not able to perform a specificity analysis and compare task-based and rest fMRI with our perioperative setting in the current study. In second-order analysis, task fMRI imaging included main nodes of the SN and main areas involved in semantics were identified in rsfMRI.

CONCLUSION:

Resting-state fMRI for presurgical language mapping is easy to implement, allowing the identification of functional brain language network with a greater sensitivity than task-based fMRI, at the cost of some precautions and a lower specificity. Further study is required to compare both the sensitivity and the specificity of the two methods and to evaluate the clinical value of rsfMRI as an alternative tool for the presurgical identification of brain language areas.

KEYWORDS:

brain surgery; brain tumor; fMRI; language; rest

PMID:
31568681
DOI:
10.1002/brb3.1362
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