Diffusion Tensor Imaging of Commissural and Projection White Matter in Tuberous Sclerosis Complex and Correlation with Tuber Load

G. Simao; C. Raybaud; S. Chuang; C. Go; O.C. Snead; E. Widjaja

doi:10.3174/ajnr.A2033

Abstract

BACKGROUND AND PURPOSE: Cortical and white matter changes have been identified outside the MR imaging–visible cortical/subcortical tubers in the tuberous sclerosis complex. The aim of this study was to evaluate DTI changes in the corpus callosum and internal capsules and to correlate the DTI changes with cortical/subcortical tuber load.

MATERIALS AND METHODS: Twelve TSC patients and 23 controls underwent MR imaging including DTI. FA, trace, D_‖, and D_⫠ of genu and splenium of corpus callosum and right and left internal capsules were assessed. The number and volume of cortical/subcortical tubers were correlated with DTI indices of corpus callosum and internal capsules.

RESULTS: In the genu and splenium, FA was lower and trace (P < .01) and D_⫠ were higher (P < .01), and in the internal capsules, trace was higher (P = .04) in TSC patients compared with controls. The total tuber volume correlated positively with trace of genu (r = 0.77, P < .01) and splenium (r = 0.69, P = .01) and with D_⫠ of splenium (r = 0.68, P = .01), and negatively with FA of splenium (r = −0.60, P = .04) of corpus callosum. The left and right hemispheric tuber volume correlated positively with trace of left (r = 0.56, P = .05) and right (r = 0.67, P = .02) internal capsules.

CONCLUSIONS: Our findings of reduced FA, elevated trace, and elevated D_⫠ in the corpus callosum and internal capsules may be related to abnormalities in myelin. The correlations between tuber volume and DTI indices in corpus callosum and internal capsules suggested that more extensive malformation as demonstrated by larger tuber load was more likely to be associated with more severe DTI changes in the commissural and projection white matter.

Abbreviations

ADC: apparent diffusion coefficient
D_‖: axial diffusivity
D_⊥: radial diffusivity
DTI: diffusion tensor imaging
DWI: diffusion-weighted imaging
FA: fractional anisotropy
FLAIR: fluid-attenuated inversion recovery
NAWM: normal-appearing white matter
ROI: region of interest
TSC: tuberous sclerosis complex

Tuberous sclerosis complex is an autosomal dominant disorder, characterized by a variety of hamartomatous lesions in various organs, including the brain.¹ Two distinct mutated or deleted genes have been identified in patients with TSC, that is, 9q34 (TSC1) and 16q13 (TSC2), and are responsible for the disease.^2,3 The brain is the most frequently affected organ in TSC, and neurologic manifestations are a common cause of morbidity and mortality, including seizures, developmental delay, and neurobehavioral abnormalities, and are present in >80% of TSC patients.¹ Four major neuroimaging and neuropathologic findings are observed in TSC patients: subependymal nodules, cortical tubers, subependymal giant cell astrocytomas, and white matter abnormalities. Besides the classic MR imaging findings, cortical and white matter changes have been identified outside the MR imaging–visible cortical/subcortical tubers on histology.⁴

DTI provides information on the microstructure of tissues and white matter tracts in vivo and therefore can be used to evaluate alterations in the microstructure of white matter in disease states, even when the white matter appears normal on structural imaging.⁵ Previous reports on quantitative MR imaging methods by using DWI and DTI in cerebral TSC have mostly concentrated on cortical tubers and white matter lesions.^6–8 Recently, abnormalities in the NAWM have been reported by using DWI and DTI.^9,10 However, it is uncertain if the changes in the NAWM are related to tuber load. Cortical tubers are a type of malformation of cortical development,¹¹ and malformations affecting the cortex could affect the white matter as well.^5,12 The corpus callosum is the largest commissural tract connecting the 2 cerebral hemispheres. The internal capsules contain major white matter tracts projecting from different lobes of the cerebrum to the thalami, brain stem, and spinal cord.¹³ Any lesions affecting the cortex and adjacent subcortical white matter could potentially affect the distal commissural and projection white matter. We hypothesize that the abnormalities in the normal-appearing white matter of commissural and projection pathways such as the corpus callosum and internal capsules are related to the cortical/subcortical tuber load. The aim of this study was to evaluate the DTI changes in the corpus callosum and internal capsules and to correlate the DTI changes with cortical/subcortical tuber load.

Materials and Methods

Patients

The study protocol had the approval of our institutional research ethics board. The inclusion criteria for the study were children between the ages of 4 and 18 years with established diagnosis of TSC according to clinical and imaging criteria.¹⁴ Twelve patients (9 boys and 3 girls; mean age, 9.2 years; age range, 4.8–16 years) underwent MR imaging including DTI between March 2008 to March 2009. All the patients had typical TSC findings in the brain, including cortical/subcortical tubers, white matter abnormalities, and subependymal nodules. Eleven patients had seizures, 8 had developmental delay, 4 had autistic spectrum disorder, and 1 had attention deficit/hyperactivity disorder. Twenty-three control subjects (13 boys and 10 girls; mean age, 11.1 years; age range, 5–17 years) with normal MR imaging and no histories of neurologic disorders were included in the study.

MR Imaging

MR imaging was performed with a 3T magnet (Achieva; Phillips Medical System, Best, the Netherlands) and an 8-channel head coil. Imaging protocol consisted of a variety of sequences, including sagittal 3D T1-weighted sequence (TR/TE, 4.9/2.3 ms; section thickness, 1 mm; FOV, 22 cm; matrix, 220 × 220), axial and coronal T2-weighted images (TR/TE, 4200/80; section thickness, 3 mm; FOV, 22 cm; matrix, 400 × 272), and axial FLAIR (TR/TE, 10,000/140; section thickness, 3 mm; FOV, 22 cm; matrix, 316 × 290).

Diffusion Tensor Imaging

Axial DTI was performed on the same MR imaging by using single-shot diffusion-weighted echo-planar imaging in both patients and controls. The imaging parameters included 15 spatially isotropically arranged noncollinear directions, TR/TE of 11,000/55, section thickness of 2 mm, FOV of 22 cm, matrix of 112 × 112, and b-value of 1000 s/mm² and 0 s/mm². Echo-planar image distortion was corrected automatically on the scanner.

Data Analysis

FLAIR was used to identify and assess the cortical/subcortical tubers, as FLAIR has previously been shown to be sensitive at identifying tubers in TSC patients.¹⁵ The number of cortical/subcortical tubers and their lobar distribution in the right and left cerebral hemispheres were assessed. The margins of the cortical/subcortical tubers were manually outlined on each section on the PACS system (GE Healthcare, Milwaukee, Wisconsin) (Fig 1) by a neuroradiologist (G.S.). The volume of each cortical/subcortical tuber was calculated by multiplying the area of each of the tubers by the section thickness. The hemispheric tuber volume was the sum of the volume of each tuber in 1 cerebral hemisphere. The total cerebral tuber volume was the sum of the volume of each tuber in both hemispheres.

Fig 1.

Axial FLAIR showing outlines of the MR imaging–visible cortical/subcortical tubers, which have been outlined manually to calculate the volume of the cortical/subcortical tubers.

DTI data processing was performed with DTIStudio (version 2.4; Johns Hopkins University, Baltimore, Maryland; http://www.mristudio.org). Diagonalization of the diffusion tensor yielded 6 independent tensor elements, 3 eigenvalues (λ₁, λ₂, and λ₃) and 3 eigenvectors, which provide 3D information about the diffusivity of water molecules per voxel that can be represented graphically by an ellipsoid.¹⁶ From these data, the FA and trace maps were calculated. D_‖ and D_⊥, which were the average of λ₂ and λ₃, were also evaluated. ROIs were carefully drawn to outline the genu and splenium of corpus callosum, and right and left internal capsules on the directionally color-coded map (Fig 2). The same ROIs were then transposed onto FA, trace, and eigenvalue maps.

Fig 2.

Selected ROIs are carefully drawn over the fractional anisotropy color-encoded images, in the genu and splenium of corpus callosum and in the internal capsules.

Statistical Analysis

Data were analyzed by using SAS 9.1 (SAS Institute, Cary, North Carolina). The age of patients and controls was compared by using a t test. Generalized estimating equations were used to compare FA, trace, D_‖, and D_⫠ of the genu and splenium of corpus callosum, as well as internal capsules of the patients versus controls, after adjusting for age and side of measurements. The right and left hemispheric tuber volume and the number of cortical/subcortical tubers were correlated with FA, trace, D_‖, and D_⫠ of the right and left internal capsules, respectively, in patients with TSC by using the Pearson correlation coefficient. The total tuber volume and the total number of the cortical/subcortical tubers were also correlated with FA, trace, D_‖, and D_⊥ of the genu and splenium of corpus callosum by using the Pearson correlation coefficient. Due to the exploratory nature of this study, no correction for type I error was made, and statistical significance was set at P < .05.

Results

Patients

There was no significant difference between the age of TSC patients and controls (P > .05).

MR Imaging

There were 314 cortical/subcortical tubers assessed in the 12 patients, varying from 3 to 39 tubers in each patient (mean of 26 cortical/subcortical tubers per subject). The distribution of cortical/subcortical tubers was as follows: 144 in frontal lobes, 64 in parietal lobes, 42 in temporal lobes, 57 in occipital lobes, and 7 in insular cortex. The mean right hemispheric cortical/subcortical tuber volume was 75.4 ± 84.7 cm³ and the mean left hemispheric cortical/subcortical tuber volume was 66.3 ± 63.4 cm³. The mean total cerebral cortical/subcortical tuber volume was 141.7 ± 141.0 cm³. The mean number of cortical/subcortical tubers in the right hemisphere was 13.0 ± 6.2 and in the left hemisphere was 13.1 ± 7.4.

Diffusion Tensor Imaging

Patients with TSC had significantly higher trace in the genu (P < .01) and splenium (P < .01) of corpus callosum, as well as in the internal capsules (P = .04), compared with controls (Table 1). FA was significantly lower in the genu (P < .01) and splenium (P < .01) of corpus callosum in TSC patients than in controls. D_⊥ was higher in the genu (P < .01) and splenium (P < .01) of corpus callosum in TSC patients compared with controls. There were no significant differences in D_‖ in the genu and splenium of corpus callosum and internal capsules in TSC patients compared with controls (P = .33, P = .41, and P = .06, respectively).

View this table:

Table 1:

Mean trace, FA, D_‖, and D_⊥ of the genu and splenium of corpus callosum and internal capsules of patients with TSC and controls

The total tuber volume correlated positively with trace of the genu (r = 0.77, P < .01) and splenium (r = 0.69, P = .01) of corpus callosum, and with D_⊥ of the splenium of corpus callosum (r = 0.68, P = .01) (Table 2). The total tuber volume correlated negatively with FA of the splenium of corpus callosum (r = −0.60, P = .04). There was a tendency for left hemispheric tuber volume to correlate positively with trace (r = 0.56, P = .05) of the left internal capsule. There was significant positive correlation between left hemispheric tuber volume and D_‖ (r = 0.63, P = .02) of the left internal capsule. The right hemispheric tuber volume correlated positively with the trace (r = 0.67, P = .02) and D_‖ (r = 0.59, P = .04) of the right internal capsule. There were no significant correlations between total tuber number or hemispheric tuber number and trace, FA, D_⫠, and D_‖ of the genu and splenium of corpus callosum or internal capsules, respectively.

View this table:

Table 2:

Pearson correlation coefficient between hemisphere tuber volume and hemispheric tuber number with DTI indices of internal capsules, as well as between total tuber volume and total tuber number with DTI indices of genu and splenium of corpus callosum

Discussion

White matter abnormalities are a well-recognized finding on conventional MR imaging of TSC patients.^17,18 DWI and DTI give additional, quantitative information about the microstructure of the brain, in particular of the white matter, and they have been used to evaluate brain abnormalities in TSC patients. Several studies have found altered diffusion index in the cortical tubers and white matter lesions associated with TSC.^4,6,7,19 Piao et al⁷ assessed 14 children and adults with TSC and found reduced FA and increased ADC in the white matter lesions in patients with TSC. Karadag et al⁶ evaluated 7 children with TSC and also found reduced FA and higher ADC values in the white matter lesions. Using diffusion-weighted MR imaging, Firat et al¹⁹ found elevated ADC in white matter lesions in 6 children with TSC. The reduced FA and elevated ADC could be related to hypomyelination, gliosis, and heterotopic cells,²⁰ which may lead to loss of structural barriers to water motion.

In this study, we have found reduced FA, increased trace and D_⫠ in the NAWM in the genu and splenium of corpus callosum, as well as increased trace in the internal capsule in children with TSC. Our findings of abnormal DTI indices in these areas of NAWM were similar to findings by other investigators. Makki et al¹⁰ evaluated 6 children with TSC and found significant increase in mean diffusivity, decrease in anisotropy, and increase in D_⫠ that was greater than the increase in D_‖ in the NAWM of corpus callosum, internal capsules, and external capsules. Garaci et al²¹ evaluated 18 children and adults with TSC by using DWI, and they found increased ADC in the supratentorial NAWM, specifically in the occipital white matter, frontal white matter, centrum semiovale, parietal white matter, and corona radiata. Using DWI, Arulrajah et al⁹ also found increased ADC in the NAWM within the frontal, parietal, and occipital lobes and pons in 23 children and adults with TSC.

We have found increased D_⫠ in the NAWM in the genu and splenium of corpus callosum. Animal models with absent myelin have demonstrated an increase in D_⫠,²² suggesting that changes in D_⫠ could potentially be used to differentiate myelin loss from axonal injury, which was associated with elevated D_‖. Diffuse hypomyelination of the cerebral white matter was thought to occur in TSC patients.^9,10,23 The white matter microstructural changes in NAWM in TSC patients may be related to an abnormal myelin packing due to giant cells, gliosis, and myelination defects.¹⁰ Using ex vivo postmortem MR imaging and neuropathologic examination, Boer et al²⁴ reported that all areas of T2 high signal intensity on MR imaging were found to correspond with areas of demyelination. However, the areas of reduced myelin attenuation appeared to be more extensive on histologic examination compared with the MR imaging visible abnormality.

In this study, there was a positive correlation between trace in the genu and splenium of corpus callosum and total cortical/subcortical tuber volume, as well as between trace in the internal capsules and hemispheric cortical/subcortical tuber volume. Peng et al²³ observed a negative correlation between D_‖ in the superior longitudinal fasciculus and the number of tubers in the frontal and parietal lobes. Any malformation that traversed the cerebral mantle could disrupt the white matter tracts.¹² Corpus callosum is the major commissural tract in the brain connecting the right and left cerebral hemispheres, and the internal capsules contain projection tracts connecting the cerebrum to the thalamus, brain stem, and spinal cord.¹³ Malformations in the cortical/subcortical tubers may exert secondary changes in the commissural and projection white matter tracts projecting to/from these lesions, and therefore account for the significant correlation between trace in the corpus callosum and internal capsules with cortical/subcortical tuber volume. Previously, we have investigated children with malformations of cortical development and found abnormal white matter tracts projecting to/from malformations of cortical development,^5,12 even when the deep white matter demonstrated normal signal intensity on structural MR imaging. Similarly, Lee et al²⁵ also found abnormal association white matter tracts projecting to/from focal cortical dysplasia.

There were greater correlations between FA and D_⫠ of the splenium of corpus callosum with total cortical/subcortical tuber volume compared with FA and D_⫠ of the genu of corpus callosum with total cortical/subcortical tuber volume. The genu of corpus callosum contains white matter tracts from the prefrontal and premotor area,^26,27 and the splenium of corpus callosum contains white matter tracts from the parietal, temporal, and occipital lobes.²⁷ The total number of cortical/subcortical tubers in the parietal, temporal, and occipital lobes combined was greater than the total number of tubers in the frontal lobes. The greater correlations between FA and D_⫠ of the splenium of corpus callosum with cortical/subcortical tuber volume could be related to the greater tuber load within the parietal, temporal, and occipital lobes combined.

Ridler et al²⁸ found a significant reduction in the white matter volume involving the longitudinal fasciculi and other major intrahemispheric tracts of 10 patients with TSC compared with controls. However, they did not find a correlation between white matter volume and number of cortical/subcortical tubers. We have also not found a significant correlation between tuber number and DTI indices of NAWM in the corpus callosum and internal capsules, suggesting that tuber number was a less sensitive indicator of tuber load than tuber volume. We have assessed the white matter by using DTI, as DTI indices were a more sensitive marker of abnormal microstructure of the white matter compared with white matter volume.

One of the potential weaknesses of our study was that we have used the MR imaging–visible lesion to define the cortical/subcortical tuber volume. The histologic abnormalities of cortical/subcortical tubers frequently extend beyond the MR imaging–visible lesion. By using the abnormal signal intensity on MR imaging to define the margin of the cortical/subcortical tuber, we may have underestimated the volume of the cortical/subcortical tuber. The relationship of abnormal DTI indices in NAWM with neurocognitive performance or autism is not clear at present; future studies are required to elucidate this relationship. At present it is not known if these white matter changes are reversible. Novel therapeutic agents such as rapamycin have been reported to improve cognitive performance and reduce seizure frequency in patients with TSC.^29,30 Further studies are necessary to determine if such therapeutic agents could affect cortical/subcortical tuber load and reduce or reverse the changes in NAWM.

Conclusions

This study showed reduced FA, elevated trace, and elevated D_⫠ in the genu and splenium of corpus callosum and internal capsules. These findings may be related to abnormalities in myelin. There was a positive correlation between total cortical/subcortical tuber volume and trace of the genu and splenium of corpus callosum, as well as hemispheric cortical/subcortical tuber volume and trace of the internal capsules. Malformations within the cortical/subcortical tubers could result in microstructural changes in the commissural and projection white matter tracts connecting to/from the abnormal cortex, with larger tuber load demonstrating more severe changes in the distal white matter.

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Received October 14, 2009.
Accepted after revision November 20, 2009.

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[1] 1.↵
Crino PB,
Nathanson KL,
Henske EP
. The tuberous sclerosis complex. N Engl J Med 2006;355:1345–56
CrossRef PubMed

[2] Crino PB,

[3] Nathanson KL,

[4] Henske EP

[5] 2.↵
European Chromosome 16 Tuberous Sclerosis Consortium. Identification and characterization of the tuberous sclerosis gene on chromosome 16. Cell 1993;75:1305–15
CrossRef PubMed

[6] 3.↵
van Slegtenhorst M,
de Hoogt R,
Hermans C,
et al
. Identification of the tuberous sclerosis gene TSC1 on chromosome 9q34. Science 1997;277:805–08
Abstract/FREE Full Text

[7] van Slegtenhorst M,

[8] de Hoogt R,

[9] Hermans C,

[10] et al

[11] 4.↵
Chandra PS,
Salamon N,
Huang J,
et al
. FDG-PET/MRI coregistration and diffusion-tensor imaging distinguish epileptogenic tubers and cortex in patients with tuberous sclerosis complex: a preliminary report. Epilepsia 2006;47:1543–49
CrossRef PubMed

[12] Chandra PS,

[13] Salamon N,

[14] Huang J,

[15] et al

[16] 5.↵
Widjaja E,
Zarei Mahmoodabadi S,
Otsubo H,
et al
. Subcortical alterations in tissue microstructure adjacent to focal cortical dysplasia: detection at diffusion-tensor MR imaging by using magnetoencephalographic dipole cluster localization. Radiology 2009;251:206–15
CrossRef PubMed

[17] Widjaja E,

[18] Zarei Mahmoodabadi S,

[19] Otsubo H,

[20] et al

[21] 6.↵
Karadag D,
Mentzel HJ,
Gullmar D,
et al
. Diffusion tensor imaging in children and adolescents with tuberous sclerosis. Pediatr Radiol 2005;35:980–83
CrossRef PubMed

[22] Karadag D,

[23] Mentzel HJ,

[24] Gullmar D,

[25] et al

[26] 7.↵
Piao C,
Yu A,
Li K,
et al
. Cerebral diffusion tensor imaging in tuberous sclerosis. Eur J Radiol 2009;71:249–52
CrossRef PubMed

[27] Piao C,

[28] Yu A,

[29] Li K,

[30] et al

[31] 8.↵
Sener RN
. Tuberous sclerosis: diffusion MRI findings in the brain. Eur Radiol 2002;12:138–43
CrossRef PubMed

[32] Sener RN

[33] 9.↵
Arulrajah S,
Ertan G,
Jordan L,
et al
. Magnetic resonance imaging and diffusion-weighted imaging of normal-appearing white matter in children and young adults with tuberous sclerosis complex. Neuroradiology 2009;51:781–86
CrossRef PubMed

[34] Arulrajah S,

[35] Ertan G,

[36] Jordan L,

[37] et al

[38] 10.↵
Makki MI,
Chugani DC,
Janisse J,
et al
. Characteristics of abnormal diffusivity in normal-appearing white matter investigated with diffusion tensor MR imaging in tuberous sclerosis complex. AJNR Am J Neuroradiol 2007;28:1662–67
Abstract/FREE Full Text

[39] Makki MI,

[40] Chugani DC,

[41] Janisse J,

[42] et al

[43] 11.↵
Barkovich AJ,
Kuzniecky RI,
Jackson GD,
et al
. A developmental and genetic classification for malformations of cortical development. Neurology 2005;65:1873–87
Abstract/FREE Full Text

[44] Barkovich AJ,

[45] Kuzniecky RI,

[46] Jackson GD,

[47] et al

[48] 12.↵
Widjaja E,
Blaser S,
Miller E,
et al
. Evaluation of subcortical white matter and deep white matter tracts in malformations of cortical development. Epilepsia 2007;48:1460–69
CrossRef PubMed

[49] Widjaja E,

[50] Blaser S,

[51] Miller E,

[52] et al

[53] 13.↵
Wakana S,
Jiang H,
Nagae-Poetscher LM,
et al
. Fiber tract-based atlas of human white matter anatomy. Radiology 2004;230:77–87
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Diffusion Tensor Imaging of Commissural and Projection White Matter in Tuberous Sclerosis Complex and Correlation with Tuber Load

Abstract

Abbreviations

Materials and Methods

Patients

MR Imaging

Diffusion Tensor Imaging

Data Analysis

Statistical Analysis

Results

Patients

MR Imaging

Diffusion Tensor Imaging

Discussion

Conclusions

References

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Diffusion Tensor Imaging of Commissural and Projection White Matter in Tuberous Sclerosis Complex and Correlation with Tuber Load

Abstract

Abbreviations

Materials and Methods

Patients

MR Imaging

Diffusion Tensor Imaging

Data Analysis

Statistical Analysis

Results

Patients

MR Imaging

Diffusion Tensor Imaging

Discussion

Conclusions

References

In this issue

Citation Manager Formats

Jump to section

Related Articles

Cited By...

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News and Updates

Resources

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