Brain, Vol. 124, No. 3, 617-626,
March 2001
© 2001 Oxford University Press
Diffusion tensor imaging in patients with epilepsy and malformations of cortical development
1 The MRI Unit, National Society for Epilepsy and Epilepsy Research Group, Gerrards Cross and 2 NMR Research Unit, University Department of Clinical Neurology, Institute of Neurology, University College London, London, UK
Correspondence to:
Professor J. S. Duncan, National Society for Epilepsy, National Hospital for Neurology and Neurosurgery, Chalfont St Peter, Gerrards Cross, Bucks SL9 0RJ, UK E-mail: j.duncan{at}ion.ucl.ac.uk
| Abstract |
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Malformations of cortical development (MCD) are a common cause of epilepsy. Studies of structural MRIs and PET data in patients with MCD have found widespread changes outside the visually identified lesions. The aim of this study was to investigate diffusion changes interictally in patients with MCD and to test the hypothesis that MCD would be associated with widespread abnormalities of diffusion. We used diffusion tensor imaging (DTI) and statistical parametric mapping (SPM) to compare objectively tissue organization in 22 patients with partial seizures and MCD, with 30 control subjects. Whole-brain DTI was acquired using echo planar imaging. Rotationally invariant anisotropy and diffusivity maps were calculated and, after normalization to Talairach space, each patient was compared with the group of control subjects using SPM. Areas of reduced anisotropy were found in 17 patients and areas of increased diffusivity in 10. Two patients had areas of increased anisotropy. There were no patients with reduced diffusivity. Areas of increased diffusivity were in general more extensive than areas of reduced anisotropy. Changes in tissue beyond the MCD, that appeared normal on conventional MRI, were found in six patients for anisotropy and nine patients for diffusivity. Both measurements showed widespread changes in tissue beyond the MCD, i.e. adding information to conventional MRI. Increased or abnormally located grey matter or pathological white matter with abnormal myelination or ectopic neurones could cause reduced anisotropy. Increased diffusivity could be caused by a defect of neurogenesis or cell loss resulting in increased extracellular space. The widespread nature of abnormalities should be considered if surgical treatment is contemplated.
diffusion tensor imaging; malformations of cortical development; epilepsy; magnetic resonance imaging
BHT = band heterotopia; DTI = diffusion tensor imaging; DWI = diffusion-weighted imaging; EPI = echoplanar imaging; MCD = malformation of cortical development; ROI = region of interest; SCH = subcortical heterotopia; SEH = subependymal heterotopia; SPM = statistical parametric mapping
| Introduction |
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Diffusion is a random process resulting from the thermal translational motion of molecules. The diffusion displacement distances are comparable with cellular dimensions, raising the possibility that the measurement of water diffusion might provide a means of exploring cellular integrity and pathology. Diffusion imaging incorporates pulsed magnetic field gradients into a standard MRI sequence resulting in images which are sensitive to the small displacements of water molecules. The diffusivity (a measurement of the magnitude of this diffusional motion) and anisotropy (a measurement of the directionality of the motion) can be calculated (Pierpaoli and Basser, 1996
It has been shown that diffusion-weighted imaging (DWI) (using diffusion gradients in only three directions) underestimates the magnitude of the anisotropy in tracts that are oblique to the diffusion gradients (Basser et al., 1994
; Pierpaoli and Basser, 1996
; Pierpaoli et al., 1996
). DTI is a development of DWI in which diffusion gradients are applied in at least six non-collinear directions. Using DTI, the total diffusion tensor can be calculated and the resulting diffusion parameters are insensitive to the subject's position and the fibre tract alignment within the scanner.
In humans, DWI has been used mainly for the early diagnosis of acute ischaemic stroke (Warach et al., 1995
; Lutsep et al., 1997
). Diffusion changes have also been seen in multiple sclerosis (Droogan et al., 1999
) and brain tumours (Tien et al., 1994
). In epilepsy, reduced diffusivity has been shown in animal models of status epilepticus (Zhong et al., 1993
, 1995
; Nakasu et al., 1995
; Ebisu et al., 1996
; Wang et al., 1996
), most probably due to aberrant ionic homeostasis causing shifts in intra- and extracellular water, or cytoplasmic dysfunction (Lux et al., 1986
; Duong et al., 1998). In patients with partial status epilepticus, reduced diffusivity has been demonstrated using DWI, in cerebral areas corresponding to seizure semiology, EEG (Wieshmann et al., 1997
) and electrocorticography (Diehl et al., 1999
). In interictal DWI studies of patients with chronic epilepsy and hippocampal sclerosis, both increased diffusivity (Hugg et al., 1999
; Wieshmann et al., 1999a
) and reduced anisotropy (Wieshmann et al., 1999a
) were found in the sclerotic hippocampi, suggesting a loss of structural organization and expansion of the extracellular space.
Malformations of cortical development (MCD) are associated commonly with epilepsy, and are often identified with high-resolution MRI (Palmini et al., 1991
; Brodtkorb et al., 1992
; Raymond et al., 1995
; Chan et al., 1998
). The malformations are the result of defects of neuronal proliferation, migration or organization during brain development. As the development of the grey and white matter are closely linked, malformations can affect both the cortex and the underlying white matter (Barth, 1987
). Widespread changes outside the MCD visible on conventional MRI have been found using analyses of the regional distribution of grey and white matter on T1-weighted images (Sisodiya et al., 1995
; Woermann et al., 1999a
) and [11C]flumazenil-PET (Richardson et al., 1996
).
The aim of the study was to investigate interictal changes of diffusivity and anisotropy in patients with MCD using DTI and to test the hypothesis that MCD would be associated with widespread abnormalities of anisotropy and diffusivity. We used statistical parametric mapping (SPM) to make voxel-by-voxel comparisons between each patient and a group of 30 control subjects (Friston et al., 1995a
, b
).
| Material and methods |
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Subjects
This study was approved by the ethical committee of the National Hospital for Neurology and Neurosurgery. Thirty healthy volunteers with no history of neurological disorder and normal standard MRI formed the control group (20 women and 10 men, median age 30 years, range 2050 years). We studied 22 patients with partial seizures and MCD (13 women and seven men, median age 31 years, range 2151). The patients were recruited from the clinics of the National Society for Epilepsy and the National Hospital for Neurology and Neurosurgery and had MCD previously demonstrated by MRI. Clinical details and EEG findings are presented in Table 1
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Conventional MRI scanning protocol
All control subjects and patients had conventional MRI on a 1.5 T Horizon Echospeed scanner (GE, Milwaukee, Wis., USA) [T1-weighted IRp-SPGR volumetric acquisition, contiguous 5 mm oblique coronal T2-weighted, proton density and fast FLAIR (fluid attenuated inversion recovery) images]. These were reviewed by experienced neuroradiologists who detected no abnormalities in the control subjects.
DTI scanning protocol
Scans were performed on a 1.5 T Horizon Echospeed scanner (GE, Milwaukee, USA). Single-shot CSF-suppressed diffusion-weighted echoplanar imaging (EPI) was used [TR/TE/TI (repetition time/echo time/inversion time) = 5000/78/1788 ms], acquisition matrix 96 x 96, reconstruction matrix 128 x 128, FOV (field of view) 24 cm, slice thickness 5 mm covering the whole brain (Barker et al., 1997
). Pulsed unipolar diffusion gradients were used for diffusion sensitization (
= 28 ms,
= 35 ms). Two b-values, degree of diffusion weighting (b = 0 and bmax = 703 s/mm2), were applied in seven non-collinear directions: x, y, z, xy, xz, yz, and xyz (to allow rotationally invariant parameters to be calculated) at 13 slice positions. Two interleaved series with nine repeats each were acquired, resulting in 1872 images (there was no interslice gap). Repeat scans were averaged after magnitude reconstruction to increase the signal-to-noise ratio while retaining the low motion sensitivity of the single-shot acquisition. Diffusion scanning time was 19 min. Total scanning time including diffusion, localizer and high-resolution EPI anatomical scan was 25 min. Images were transferred to a separate workstation (Sun Microsystems, Palo Alto, Calif., USA) for post-processing.
Maps of fractional anisotropy and mean diffusivity (rotationally invariant scalar indices of diffusion) were calculated from the diffusion-weighted images according to the method proposed by Pierpaoli and Basser (Pierpaoli and Basser, 1996
; Pierpaoli et al., 1996
) using software written in-house. The fractional anisotropy map represents a value of the anisotropy index, with 0 representing an isotropic medium where there is no directionality of the diffusion and 1.0 representing maximum anisotropy. The magnitude of the diffusion in each voxel is represented by the mean diffusivity measured in x106 mm2/s.
SPM analyses
To allow voxel-by-voxel statistical comparison to be made, all images were spatially normalized to a standard template using SPM96 (Wellcome Department of Cognitive Neurology, Institute of Neurology, London, UK) (Friston et al., 1995a
, b
). Since the contrast of anisotropy and diffusivity maps differs from the T1- and T2-weighted templates provided by SPM96 and there are geometric distortions associated with the EPI acquisition, a new template was created. This was created by normalizing a control subject's image with no diffusion weighting (the b = 0 image) to Talairach space using 12 linear degrees of freedom and a 4 x 4 x 5 non-linear warp. The b = 0 images of all control subjects and patients were normalized to the template using linear transformations with 12 degrees of freedom (translation, rotation, zoom and shear) which provided a robust normalization. Non-linear normalization was not used in the control subjects and patients to avoid inappropriate elimination of focal individual differences that would reduce sensitivity of the analysis. The origin for normalization was set to the anterior commissure. The anisotropy and diffusivity maps were then normalized using the parameters determined from the normalization of the b = 0 image. The normalized anisotropy maps were smoothed with an 8-mm and the diffusivity maps with a 10-mm isotropic Gaussian kernel to improve the signal-to-noise ratio, to increase the validity of statistical inference and to improve normalization (Friston et al., 1995b
). The signal intensity threshold was set at 0.5 to reduce the number of low signal-to-noise voxels included in the analysis. The signal intensity threshold is a proportion of the whole-brain image mean intensity, and only voxels exceeding this intensity threshold (50% of the mean in our study) were included in the analyses. In all patients and control subjects, this procedure excluded noise areas outside the brain or in the ventricles.
Two contrasts were used to detect whether each voxel had a higher or lower anisotropy or diffusivity in each individual patient compared with the group of control subjects. Significant increases or decreases were detected at an individual voxel threshold of P < 0.001. To correct for multiple comparisons, the resulting foci were characterized in terms of spatial extent (corrected P value P < 0.05) (Friston et al., 1994
). Each individual patient was compared with the control group. Similarly, each control subject was compared with the remainder of the control group using equivalent smoothing, signal intensity thresholds and significance levels.
Region-of-interest analyses
Since SPM will only show that there is a significant focal difference between an individual subject and the control group, quantitative region-of-interest (ROI) analyses were made in three patients whose appearance on conventional MRI were considered to be typical for each aetiology, to indicate the magnitude of the differences seen. For decreases of anisotropy, ROI were analysed in a patient with bilateral gyral abnormalities and thickened cortex (Patient 1, Fig. 1
) and a patient with focal neuronal heterotopia (Patient 14, Fig. 2
). For increased anisotropy, ROI parameters were determined in a patient with focal neuronal heterotopia (Patient 14, Fig. 2
). For increased diffusivity, ROI were analysed in a patient with bilateral gyral abnormalities and thickened cortex (Patient 1, Fig. 3
) and a patient with unilateral gyral abnormalities (Patient 11). The areas detected by SPM as deviating significantly from normal in terms of voxel intensity and cluster extent (P < 0.05) were outlined automatically and thereafter superimposed on the normalized anisotropy and diffusivity maps using DispImage 4.7 software (Plummer, 1992
). The mean value in the ROI on the patient's map was compared with the mean value in the same ROI from all 30 of the control subjects' maps, and the difference expressed as a percentage of the control mean.
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| Results |
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Control subjects
Comparisons of the anisotropy and diffusivity maps of each normal subject with the remaining 29 control subjects revealed decreased anisotropy in one individual and increased diffusivity in two individuals at the statistical threshold of P < 0.001 with a correction for multiple comparisons at P < 0.05. Since 60 tests were made (30 examinations for each contrast), up to three areas would be expected by chance for each diffusion index at a significance level of P < 0.05. Group analyses of the control subjects comparing left versus right handedness and male versus female showed no significant differences.
Anisotropy
Decreased anisotropy
In 17 of the 22 patients with MCD, SPM detected areas of decreased anisotropy (Table 1
). In 15 of these patients, the changes corresponded to all or part of the MCD. In six patients, changes were found outside the MCD in tissue that appeared normal on conventional MRI.
Nine of the 11 patients (Patients 111) with gyral abnormalities had areas of significantly reduced anisotropy that corresponded to all or part of the MCD. In four of the 11, changes were found in areas beyond the margins of the evident MCD, in areas that appeared normal on T1- and T2-weighted images (Fig. 1
). Reduced anisotropy was also seen in the patients with agenesis of the corpus callosum (Patient 12) and subcortical heterotopia (SCH) (Patients 13 and 14, Fig. 2
). None of the patients with band heterotopia (BHT) (Patients 1518) had any significant anisotropy changes detected by SPM in the areas of the MCD. One patient (Patient 15), however, had a periventricular area of decreased anisotropy outside the evident MCD. In the patients with subependymal heterotopia (SEH), SPM detected areas of reduced anisotropy that corresponded to all or part of the SEH in three patients (1921). In one patient (Patient 21), reduced anisotropy was also shown in the frontal gyral abnormality and in normal-appearing grey and white matter.
Increased anisotropy
In two patients (Patients 1 and 14), SPM detected areas of increased anisotropy. Two of the areas were in white matter adjacent to MCD (Fig. 2
). In one patient (Patient 14), a further area of increased anisotropy was found in the left temporal lobe in grey matter that appeared normal on conventional MRI.
ROI analyses
Quantitative ROI analyses of decreased anisotropy were made in Patients 1 and 14, whose appearances on conventional MRI were typical of gyral abnormality with thickened cortex and nodular heterotopia, respectively. In Patient 1 (Fig. 1
), the analyses were made in the normal-appearing left occipital white matter and right frontoparietal area with gyral abnormality. The mean anisotropy value was 0.35 in the left occipital region, which was 60% of the mean of control values of 0.58. The mean anisotropy in the the right frontoparietal region was 0.30. This was 51% of the mean anisotropy in the corresponding areas in the control subjects of 0.59. In the right frontoparietal heterotopia in Patient 14 (Fig. 2
), the mean anisotropy was 0.43, which was 61% of the mean anisotropy value (0.71) in the same region in the control subjects.
ROI analyses were also made in one of the patients with areas of significantly increased anisotropy, Patient 14 (Fig. 2
). In this area of normal-appearing occipital lobe, the anisotropy value was 0.75 in the patient and 0.38 in the control subjects (197%).
Diffusivity
Increased diffusivity
In 10 of the 22 patients with MCD, SPM detected areas of increased diffusivity (Table 1
). In eight of these, the changes corresponded to all or part of the MCD. In nine patients, changes were found outside the MCD in tissue that appeared normal on conventional MRI. In seven of the 10 patients, the diffusivity changes were more extensive than the anisotropy changes.
Seven of the 11 patients (Patients 111) with gyral abnormalities had areas of increased diffusivity corresponding to all or part of the MCD. In all of these and one additional patient, changes were found outside the MCD in grey and/or white matter that appeared normal on conventional MRI (Fig. 3
). One of the patients with nodular SCH (Patient 14) had areas of increased diffusivity both within and in areas beyond the MCD. There were no diffusivity changes in the other patient with nodular SCH (Patient 13), the patient with agenesis of the corpus callosum (Patient 12) or the patients with BHT (Patients 1518). One (Patient 19) of the patients with SEH (Patients 1922) had an area of increased diffusivity outside the MCD in normal-appearing grey and white matter.
Decreased diffusivity
There were no patients with regions of significantly reduced diffusivity.
ROI analyses
Quantitative ROI analyses were made in two patients whose appearances on conventional MRI were typical of gyral abnormality with thickened cortex. In Patient 1, the mean diffusivity for an area of normal-appearing white matter in the left occipital lobe (Fig. 3
) was 811 x 106 mm2/s, compared with a mean of 712 x 106 mm2/s for the control group in the same area (114%). In the normal-appearing white matter in the left frontal lobe in Patient 9, the average diffusivity was 873 x 106 mm2/s. This was 119% of the average diffusivity in the corresponding area in the control group, 731 x 106 mm2/s.
| Discussion |
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Using voxel-by-voxel comparisons of DTI, 15 patients had areas of reduced anisotropy and eight had areas of increased diffusivity within the MCD. Reduced anisotropy was also found in tissue beyond the margins of the evident MCD in six patients, in areas that appeared normal on conventional T1- and T2-weighted images. Nine of the patients had increased diffusivity in grey and/or white matter that appeared normal on MRI. In two patients, there were areas of increased anisotropy. There were no patients with reduced diffusivity. There were no diffusion changes in the patients with BHT; apart from this, there was no apparent relationship between the nature of changes and type of MCD.
In all patients, anisotropy images added information about the structure of the white matter tracts that was not seen on conventional MRI. In addition, in six patients, areas of decreased anisotropy and, in nine patients, areas of increased diffusivity were detected outside the margins of the lesions seen on T1- and T2-weighted images. This suggests that despite the low sensitivity in detecting MCD, DTI detected subtle changes not visualized with optimal conventional MRI.
Methodological aspects and limitations
Ultra-fast EPI has enabled us to perform whole-brain DTI within a reasonable time frame. The rotationally invariant diffusion parameters calculated using this technique are insensitive to variations in intersubject positioning within the scanner, allowing meaningful comparison between individuals (Basser et al., 1994
; Pierpaoli and Basser, 1996
). Since DTI is sensitive to molecular movement of water, it is also sensitive to motion and pulse artefacts. To reduce the effect of motion artefacts, we used a fast single-shot MRI sequence (EPI) for the acquisition. The resolution of this whole-brain DTI was 2.5 x 2.5 x 5.0 mm, which limits the size of the changes that can be seen. This voxel size was a compromise between imaging time and an adequate signal-to-noise ratio. To increase the signal-to-noise ratio further, nine averages were acquired at every slice position.
The voxel-by-voxel approach used by SPM is a more statistically rigorous and unbiased method than ROI analyses based on a priori knowledge. SPM previously has been applied successfully to structural MRI (Woermann et al., 1999a
, b
) and PET data (Richardson et al., 1996
, 1997
). In addition, an ROI-based study of DTI in structural cerebral lesions failed to identify abnormalities in mean diffusivity in 30% of patients despite anisotropy abnormalities in all, and did not investigate normal-appearing cerebral tissue (Wieshmann et al., 1999b
). Voxel-by-voxel comparisons are only possible if all brains are in a common space, making normalization necessary to reduce the overall variability in size and shape between brains. Visual assessment showed that normalization worked satisfactorily in all subjects, even in patients with severely disordered brains. This is supported by the small number of changes seen in the analyses of the control subjects and in areas outside the brain in patients. The statistical threshold used was deliberately rigorous to avoid false-positive findings. Inevitably, this may have reduced the sensitivity in the patient group. Several factors further limited the sensitivity of the methods employed. The human cortical ribbon is 25 mm thick and, with the DTI voxels being of comparable size, any abnormalities had to be of a sufficient size to be significant with the stringent statistical approach used. The normalization scheme based on the Talairach atlas is most successful with central structures; therefore, these regions will be matched most accurately to the other subjects after normalization. The most peripheral cerebral structures, for example cortical ribbon and subcortical white matter, will correspond less well, resulting in a wider range of anisotropic values in the control subjects. Statistical comparison of these areas between controls and patients may therefore fail to identify subtle differences.
Biological and clinical implications
The areas of reduced anisotropy detected within MCD were in what appeared to be grey matter and/or greywhite matter interface on high-resolution MRI. The decreased anisotropy in these areas of heterotopic grey matter is likely to be caused by the comparisons of anisotropy in the abnormally located grey matter in the patients with anisotropy in white matter in control subjects.
More interestingly, anisotropy and diffusivity changes were found outside the MCD in normal-appearing tissue. Changes beyond the margins of the visually detected MCD were found in nine of the 10 patients with increased diffusivity, and in six of the 17 patients with decreased anisotropy, concurring with previous studies of structural MRI (Sisodiya et al., 1995
; Woermann et al., 1999a
) and PET data (Richardson et al., 1996
, 1997
) of patients with epilepsy and MCD. These findings suggest that MCD is often more extensive than the visible lesion, with widespread subtle malformation.
Several histopathological epilepsy surgery and necropsy series have found microdysgenesis and an increased number of neurones in white matter in patients with epilepsy compared with control subjects (Meencke, 1983
; Hardiman et al., 1988
; Kasper et al., 1999
). These changes may involve several lobes (Eriksson et al., 1999
). An increased number of neuronal cell bodies in the white matter (as in microdysgenesis) could disrupt the white matter tracts and cause a reduction in anisotropy. Other studies have found a relative decrease in white matter in patients with MCD, that might be the result of an increased number of neurones projecting thinner axons (Sisodiya et al., 1995
), which may have altered arborization (Mitchison, 1991
) and altered anisotropy. Poor myelination of white matter may also occur with MCD (Marchal et al., 1989
), and this might contribute to reduced anisotropy. Histopathological correlations of our DTI findings are not available at present. Since patients with MCD do not commonly proceed to surgical treatment, because they are unlikely to do well (Bruton, 1988
; Engel, 1993
), post-mortem studies will be necessary.
Increases in diffusivity generally were more extensive than decreases in anisotropy, in both MCD and normal-appearing grey and white matter. The widespread increase in diffusivity suggests areas of reduced cell density and increased extracellular space due to failure of neurogenesis or later cell loss. In animal studies of status epilepticus, reduced diffusivity has been seen in the acute phase with spontaneous normalization after 3 days (Nakasu et al., 1995
). The animals were only followed for 1 week and it is unclear if the values would continue to rise, as after a stroke (Warach et al., 1995
; Lutsep et al., 1997
). However, in the subsequent histopathological examinations, pyknotic neurones and vacuolated neuropil were seen in the areas with previously reduced diffusivity, suggesting neuronal damage sustained during the prolonged seizure and which would be expected to result in increased extracellular space and increased diffusivity. Repetitive seizures in humans may also result in neurone loss and gliosis (Vinters et al., 1993
), and both reduced anisotropy and increased diffusivity might be caused by frequent seizures.
In two patients, there was an increase in anisotropy in normal-appearing white matter adjacent to MCD. This most probably reflects the comparison of white matter tracts, that have been displaced by the MCD, with grey matter in controls or of fibres in white matter tracts being more densely packed, resulting in an increased anisotropy (Beaulieu and Allen, 1994
).
SPM did not detect significant changes in anisotropy or diffusivity in all MCD. Anisotropy is usually highest in the major white matter tracts and lower in the tissue close to the cortex where fibres are crossing or fanning out (Peled et al., 1998
). MCD in areas where anisotropy is naturally low might not result in significant reduction in anisotropy compared with control subjects. Anisotropy was, however, more sensitive in detecting the MCD than was diffusivity. Our findings are concordant with previous ROI-based analyses of a group of three patients with MCD that all had anisotropy changes but only one had diffusivity changes (Wieshmann et al., 1999b
). Features common to all MCD are loss of tissue organization and abnormalities of neuronal structure. This may cause reduced anisotropy. Despite the disorganization of the tissue, the cellular density is preserved in many of the MCD. The diffusivity restriction by cell membranes and diffusivity value might therefore still be similar to that in normal tissue. This suggests that anisotropy and diffusivity are diffusion entities that give complementary information. The pattern of changes is different to that seen in acquired lesions causing epilepsy in which diffusivity changes were more evident than abnormalities of anisotropy (Rugg-Gunn et al., 2001
).
The finding of widespread changes in anisotropy and diffusivity could be of potential clinical importance if surgical treatment is considered in patients with epilepsy and apparently focal MCD and in the investigation of occult abnormalities in cryptogenic epilepsy.
Several studies have shown reduced diffusivity during partial status epilepticus correlated with the cortical areas involved (Wieshmann et al., 1997
; Diehl et al., 1999
; Lansberg et al., 1999
). In the current study, all scans were interictal and no reductions of diffusivity were found. In selected patients, ictal DTI may be a useful non-invasive tool for localization of the epileptogenic focus. It is not known, however, if there will be an ictal reduction in diffusivity in patients who have an interictal increase in diffusivity. In view of this and the heterogeneity of the results, any ictal diffusivity maps would need to be interpreted in the light of interictal data.
| Acknowledgments |
|---|
We wish to thank Drs Brian Kendall and John Stevens for expert neuroradiological review of images and assistance, and Drs Friedrich Woermann and Udo Wieshmann for helpful discussions. This study was supported by Action Research. S.H.E. is supported by the Swedish Epilepsy Society, Glaxo Wellcome AB and Holmia Försäkringar AB. F.J.R-G. is supported by Action Research. M.R.S. is supported by the Brain Research Trust. G.J.B. is supported by the Multiple Sclerosis Society of Great Britain and Northern Ireland. J.S.D. is supported by the National Society for Epilepsy (NSE). The Glaxo Wellcome Scanner and the MRI Unit are supported by the NSE.
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Received June 5, 2000. Revised August 25, 2000. Accepted November 6, 2000.
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