Comparison of Statistical Parametric Mapping and SPECT Difference Imaging in Patients with Temporal Lobe Epilepsy

Summary:  Purpose: Statistical parametric mapping (SPM) is an image‐analysis tool that assesses the statistical significance of cerebral blood flow (CBF) changes on a voxel‐by‐voxel basis, thereby removing the subjectivity inherent in conventional region‐of‐interest (ROI) analysis. Our platform of single‐photon emission computed tomography (SPECT) ictal–interictal difference imaging in clinical epilepsy has been validated for localizing seizure onset. We extend the tools of SPM by further applying statistical measures for the significance of perfusion changes in individual patients to localize epileptogenic foci in patients with defined temporal lobe epilepsy by using paired scans in this preliminary study.

[1]  R Duncan,et al.  Ictal/postictal SPECT in the pre-surgical localisation of complex partial seizures. , 1993, Journal of neurology, neurosurgery, and psychiatry.

[2]  D J Brooks,et al.  Ketone bodies do not directly alter excitatory or inhibitory hippocampal synaptic transmission , 2000, Neurology.

[3]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[4]  S. Kinomura,et al.  Mean regional cerebral blood flow images of normal subjects using technetium-99m-HMPAO by automated image registration. , 1998, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[5]  P. Van Bogaert,et al.  Statistical Parametric Mapping of Regional Glucose Metabolism in Mesial Temporal Lobe Epilepsy , 2000, NeuroImage.

[6]  I. George Zubal,et al.  Effect of injection time on postictal SPET perfusion changes in medically refractory epilepsy , 1999, European Journal of Nuclear Medicine.

[7]  J. Seibyl,et al.  Evolution and Localization of Postictal Blood Flow Changes in Partial Seizures Demonstrated by SPECT: Use of Quantitative Difference Images , 1998 .

[8]  M. Torrens.  Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268 , 1990 .

[9]  Benoit M. Dawant,et al.  Comparison and evaluation of retrospective intermodality image registration techniques , 1996, Medical Imaging.

[10]  Eileen O. Smith,et al.  Difference images calculated from ictal and interictal technetium-99m-HMPAO SPECT scans of epilepsy. , 1995, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[11]  D L Hill,et al.  Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures. , 1997, Medical physics.

[12]  Gerald Q. Maguire,et al.  Comparison and evaluation of retrospective intermodality brain image registration techniques. , 1997, Journal of computer assisted tomography.

[13]  Tae Joo Jeon,et al.  Evaluation of ictal brain SPET using statistical parametric mapping in temporal lobe epilepsy , 2000, European Journal of Nuclear Medicine.

[14]  Colin Studholme,et al.  An overlap invariant entropy measure of 3D medical image alignment , 1999, Pattern Recognit..

[15]  D. J. Wyper,et al.  Validation of Statistical Parametric Mapping (SPM) in Assessing Cerebral Lesions: A Simulation Study , 1999, NeuroImage.

[16]  C. Rowe,et al.  Patterns of postictal cerebral blood flow in temporal lobe epilepsy , 1991, Neurology.

[17]  Colin Studholme,et al.  Visual assessment of the accuracy of retrospective registration of MR and CT images of the brain , 1998, IEEE Transactions on Medical Imaging.

[18]  C. Jack,et al.  Subtraction ictal SPECT co‐registered to MRI improves clinical usefulness of SPECT in localizing the surgical seizure focus , 1998, Neurology.

[19]  Karl J. Friston,et al.  Detecting Activations in PET and fMRI: Levels of Inference and Power , 1996, NeuroImage.

[20]  W. Huk,et al.  Regional cerebral blood flow during focal seizures of temporal and frontocentral onset , 1990, Annals of neurology.