Correlation of Sensorimotor Activation with Functional Magnetic Resonance Imaging and Magnetoencephalography in Presurgical Functional Imaging: A Spatial Analysis

Kober, H.; Nimsky, Christopher; Möller, Martin; Hastreiter, Peter; Fahlbusch, Rudolf; Ganslandt, Oliver

doi:10.1006/nimg.2001.0909

Cited by 136 publications

(66 citation statements)

References 71 publications

(80 reference statements)

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“…In another study the MEF dipole localization was unsuccessful in up to 21% of patients. 11 These results were consistent with our findings; that is, the MF data were much less successful in dipole localization than the MEF data. In our study, localization using the MEF was more consistent in both affected and unaffected hemispheres.…”

Section: Discussionsupporting

confidence: 92%

Motor field sensitivity for preoperative localization of motor cortex

Lin

Berger²,

Nagarajan³

2006

JNS

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Object-In this study the role of magnetic source imaging for preoperative motor mapping was evaluated by using a single-dipole localization method to analyze motor field data in 41 patients.Methods-Data from affected and unaffected hemispheres were collected in patients performing voluntary finger flexion movements. Somatosensory evoked field (SSEF) data were also obtained using tactile stimulation. Dipole localization using motor field (MF) data was successful in only 49% of patients, whereas localization with movement evoked field (MEF) data was successful in 66% of patients. When the spatial distribution of MF and MEF dipoles in relation to SSEF dipoles was analyzed, the motor dipoles were not spatially distinct from somatosensory dipoles.Conclusions-The findings in this study suggest that single-dipole localization for the analysis of motor data is not sufficiently sensitive and is nonspecific, and thus not clinically useful. Keywordsmagnetoencephalography; brain mapping; motor field; movement-evoked field; functional localizationThe preoperative localization of functionally viable brain tissue helps to guide neurosurgical planning in optimizing the region of resection while allowing for improved postsurgical neurological function. Various neuroimaging techniques, including MS and fMR imaging, are now available to preoperatively map functional brain organization. Coregistering structural MR imaging data to functional data acquired via MS or fMR imaging allows for the intraoperative creation of a neuronavigation system. 9,15,17 Magnetic source imaging has been shown to be increasingly important in preoperative planning and complements intraoperative mapping by delineating retained areas of function noninvasively and in advance, and thus reducing the time needed for intraoperative procedures. Peaks in evoked neuromagnetic field data are used to localize dipoles with the aid of source modeling algorithms. Utilizing MS imaging, relevant somatosensory, speech, and motor cortices can be mapped preoperatively to aid surgical navigation and avoid 4,6,7,9,16,20,22 With the increasing use of MS imaging at clinical centers worldwide, the accuracy of functional localization has become paramount.The utility of neuromagnetic somatosensory, auditory, and speech mapping for preoperative tumor localization has been validated previously. 5,8,21,[24][25][26] More recently, neuromagnetic MEFs have been shown to be useful in mapping motor cortex by using a single-equivalent current dipole model. 19 Here, we examine the role of single-equivalent current dipole modeling of pre-and postmovement evoked responses. 3,11,13,28,29 The premovement evoked response typically peaks before the onset of movement, presumably arising from motor cortex, and this peak is referred to as the "MF." Postmovement onset, the earliest peak activation, is referred to as the "MEF" and is presumed to reflect the sum of activity arising from motor and somatosensory cortices given the presence of both efferent activity and sensory feedback during mo...

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Section: Discussionsupporting

confidence: 92%

Motor field sensitivity for preoperative localization of motor cortex

Lin

Berger²,

Nagarajan³

2006

JNS

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“…Our unique concept for functional neuronavigationguided stereotactic procedure added two sets of data. The functional data from functional MR (fMR) imaging or magnetoencephalography (MEG) were integrated into the 3D MPRAGE navigational data set for functional neuronavigation, 7,11,19,20) which allowed correct alignment of the trajectory of the biopsy needle. In patients with diffuse lesions, the data from MR spectroscopy and positron emission tomography (PET) were also integrated into the anatomical 3D MPRAGE data set, which facilitated accurate target selection, resulting in improvement of diagnostic yield.…”

Section: Set Up Of the Operating Theatermentioning

confidence: 99%

Frameless Stereotactic Surgery Using Intraoperative High-Field Magnetic Resonance Imaging

Nimsky

Fujita

Ganslandt

et al. 2004

Neurol. Med. Chir.(Tokyo)

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This study evaluated the clinical validity of frameless stereotaxy using high-field intraoperative magnetic resonance (iMR) imaging combined with an in-room neuronavigation system. A 1.5 Tesla MR scanner in conjunction with a ceiling-mounted neuronavigation system was used during 32 frameless stereotaxy procedures consisting of 19 brain biopsies and 13 catheter placements between April 2002 and mid-October 2003. Evaluation of the procedure was based on either the rate of histological diagnostic yield or the ability to accurately position the catheter in the target region. This technique allowed successful registration with a mean error of 1.2 ± 0.8 mm and resulted in successful placement of the instrument within the target tissue. Intraoperatively, frozen section analysis showed all biopsy samples contained pathological tissue and locations of sampling points were confirmed by iMR imaging. Specific final diagnosis was made in all 19 brain biopsies. The tip of the catheter was successfully placed into the target in all 13 patients confirmed by iMR imaging. The catheter was repositioned based on iMR imaging in four of 13 patients, increasing the rate of successful placement. There were no procedure-related neurological deficits or mortality, but we encountered two cases of wound infection, one needing surgical revision. Total additional procedure time related to the induction of iMR imaging was 76.7 ± 23.3 minutes. This initial experience of the combination of conventional frameless stereotaxy and high-field iMR imaging improved the quality of frameless stereotaxy with low morbidity and mortality, but did not translate into a significant reduction of procedure-related time.

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“…This time scale discrepancy leads us to treat fMRI as spatial data in the analysis. The degree of spatial correlation between MEG and fMRI is a matter of active investigation Singh et al, 2003;Kober et al, 2001); investigators debate how and to what degree they are correlated. Due to the incomplete understanding of the correlation between the methods, in our analysis we treat fMRI and MEG data as independent information.…”

Section: Discussionmentioning

confidence: 99%

Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC

et al. 2008

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A number of brain imaging techniques have been developed in order to investigate brain function and to develop diagnostic tools for various brain disorders. Each modality has strengths as well as weaknesses compared to the others. Recent work has explored how multiple modalities can be integrated effectively so that they complement one another while maintaining their individual strengths. Bayesian inference employing Markov Chain Monte Carlo (MCMC) techniques provides a straightforward way to combine disparate forms of information while dealing with the uncertainty in each. In this paper we introduce methods of Bayesian inference as a way to integrate different forms of brain imaging data in a probabilistic framework. We formulate Bayesian integration of magnetoencephalography (MEG) data and functional magnetic resonance imaging (fMRI) data by incorporating fMRI data into a spatial prior. The usefulness and feasibility of the method are verified through testing with both simulated and empirical data.

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Correlation of Sensorimotor Activation with Functional Magnetic Resonance Imaging and Magnetoencephalography in Presurgical Functional Imaging: A Spatial Analysis

Cited by 136 publications

References 71 publications

Motor field sensitivity for preoperative localization of motor cortex

Motor field sensitivity for preoperative localization of motor cortex

Frameless Stereotactic Surgery Using Intraoperative High-Field Magnetic Resonance Imaging

Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC

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