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Publication Detail
Pitfalls in comparing functional magnetic resonance imaging and invasive electrophysiology recordings
  • Publication Type:
    Conference
  • Authors:
    Hill DLG, Simmons A, Castellano Smith AD, Maurer CR, Cox TCS, Elwes R, Brammer MJ, Hawkes DJ, Polkey CE
  • Publication date:
    01/01/1998
  • Pagination:
    842, 852
  • Published proceedings:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    1496
  • ISBN-10:
    3540651365
  • ISBN-13:
    9783540651369
  • Status:
    Published
  • Print ISSN:
    0302-9743
Abstract
© Springer-Verlag Berlin Heidelberg 1998. Several authors have recently compared the results of fMRI studies on neurosurgery patients with invasive electrophysiology. These studies aim to validate fMRI against an accepted gold standard, and ascertain whether fMRI could replace invasive electrophysiology in neurosurgical patients. We have identified and quantified two characteristics of these data that make such comparisons problematic. Firstly, the epilepsy surgery patients (n=8) studied move significantly more during fMRI experiments than normal volunteers (n=6) performing the same task. This motion has a particularly large out-of-plane component, and is significantly more correlated with the stimulus than for the normal volunteers. This motion is especially large when performing a task on the side affected by the lesion. This additional motion is hard to correct and substantially degrades the quality of the resulting fMRI images, making it a much less reliable technique on these surgical patients than on other subjects. Secondly, we have found that, following electrode implantation, the brain surface can shift by more than 10 mm relative to the skull compared to its preoperative location, substantially degrading the accuracy of the comparison of electrophysiology measurements made on the deformed brain and fMRI studies carried out preoperatively. Taken together, these findings suggest that studies of this sort are currently of limited use for validating fMRI, and further image analysis research is necessary to solve the problems caused by subject motion and brain deformation.
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