The clinical and imaging features of gray matter heterotopia: a clinical analysis on 15 patients

Raza, Hafiz Khuram; Chen, Hao; Chansysouphanthong, Thitsavanh; Zhang, Zuohui; Fang, Hua; Ye, Xinchun; Zhang, Wei; Dong, Liguo; Zhang, Shenyang; Wang, Xiaopeng; Cui, Guiyun

doi:10.1007/s10072-018-3667-9

Cited by 10 publications

(8 citation statements)

References 13 publications

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“…The epileptogenic role of the nodules is supported by prior studies that showed poor seizure outcomes when surgeries left nodules unresected 4,20,21 . In the meantime, there are clear indications of interactions between nodules and the overlying cortex, constituting highly individualized epileptogenic networks that render SEEG explorations indispensable 7,22 . Due to these challenges, patients with PVNH were frequently not considered favorable surgical candidates.…”

Section: Discussionmentioning

confidence: 93%

“…4,20,21 In the meantime, there are clear indications of interactions between nodules and the overlying cortex, constituting highly individualized epileptogenic networks that render SEEG explorations indispensable. 7,22 Due to these challenges, patients with PVNH were frequently not considered favorable surgical candidates. In the literature, most previous studies with surgical outcomes are case reports or small series, 4,20,21,[23][24][25][26][27] with the largest cohort reporting on 20 patients.…”

Section: Contribution To the Literaturementioning

confidence: 99%

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Using magnetic resonance fingerprinting to characterize periventricular nodular heterotopias in pharmacoresistant epilepsy

Choi

Krishnan

et al. 2022

Epilepsia

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Objective We aimed to use a novel magnetic resonance fingerprinting (MRF) technique to examine in vivo tissue property characteristics of periventricular nodular heterotopia (PVNH). These characteristics were further correlated with stereotactic‐electroencephalographic (SEEG) ictal onset findings. Methods We included five patients with PVNH who had SEEG‐guided surgery and at least 1 year of seizure freedom or substantial seizure reduction. High‐resolution MRF scans were acquired at 3 T, generating three‐dimensional quantitative T1 and T2 maps. We assessed the differences between T1 and T2 values from the voxels in the nodules located in the SEEG‐defined seizure onset zone (SOZ) and non‐SOZ, on ‐individual and group levels. Receiver operating characteristic analyses were performed to obtain the optimal classification performance. Quantification of SEEG ictal onset signals from the nodules was performed by calculating power spectrum density (PSD). The association between PSD and T1/T2 values was further assessed at different frequency bands. Results Individual‐level analysis showed T1 was significantly higher in SOZ voxels than non‐SOZ voxels (p < .05), with an average 73% classification accuracy. Group‐level analysis also showed higher T1 was significantly associated with SOZ voxels (p < .001). At the optimal cutoff (normalized T1 of 1.1), a 76% accuracy for classifying SOZ nodules from non‐SOZ nodules was achieved. T1 values were significantly associated with ictal onset PSD at the ultraslow, θ, β, γ, and ripple bands (p < .05). T2 values were significantly associated with PSD only at the ultraslow band (p < .05). Significance Quantitative MRF measures, especially T1, can provide additional noninvasive information to separate nodules in SOZ and non‐SOZ. The T1 and T2 tissue property changes carry electrophysiological underpinnings relevant to the epilepsy, as shown by their significant positive associations with power changes during the SEEG seizure onset. The use of MRF as a supplementary noninvasive tool may improve presurgical evaluation for patients with PVNH and pharmacoresistant epilepsy.

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Section: Discussionmentioning

confidence: 93%

Section: Contribution To the Literaturementioning

confidence: 99%

Using magnetic resonance fingerprinting to characterize periventricular nodular heterotopias in pharmacoresistant epilepsy

Choi

Krishnan

et al. 2022

Epilepsia

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“…Gray matter clusters are seen in localizations that should not be in the brain. The incidence of epilepsy is very high in patients with gray matter heterotopia [11][12][13][14][15]. The most common subtype is SEH.…”

Section: Discussionmentioning

confidence: 99%

Comparative Evaluation of Apparent Diffusion Coefficient Values of White Matter Surrounding the Heterotopia in Children With Unilateral Subependymal Heterotopia

Eroğlu¹,

Kara²

2022

Cureus

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Introduction: To compare the apparent diffusion coefficient (ADC) values of the white matter around heterotopia in children with unilateral subependymal heterotopia with those of the symmetrical normal cerebral hemisphere and control group.Methods: Between January 2011 and September 2021, 15 pediatric patients with unilateral focal subependymal heterotopia among 47 patients with heterotopia detected in brain magnetic resonance imaging (MRI) in our hospital were included in the study. The control group consisted of 15 age-and sexmatched children with normal neurological examination and normal brain MRI. In brain MRIs, ADC value was measured from the white matter around the heterotopia area and from the opposite cerebral hemisphere matched to the location, and from the bilateral location-matched white matter of the control group. The area of heterotopia was measured on axial T1-weighted MRI. The data were evaluated statistically.Results: There were eight girls and seven boys in the heterotopia group. The median age was 5.00 (min: 3, max: 14). There was no statistically significant difference between the ADC values of the heterotopia side and contralateral white matter of the heterotopia group. In addition, no statistically significant difference was found between the heterotopia side and opposite sides of the heterotopia and control groups ADC values.Conclusion: According to the findings of this study, no difference was found in the ADC values of the white matter around the lesion in children with subependymal heterotopia compared to the opposite cerebral hemisphere and control groups.

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“…Only one patient had strabismus. Raza et al report a study with ten patients affected by subcortical heterotopia [ 17 ]: they describe an association with subcortical heterotopia, central nervous system (CNS) anomalies and neurological dysfunction. Probably due to the low number of patients, we did not detect these findings.…”

Section: Discussionmentioning

confidence: 99%

Gray matter heterotopia: clinical and neuroimaging report on 22 children

et al. 2021

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Objective To investigate the clinical characteristics and neuroimaging features of childhood presenting with gray matter heterotopia observed in a single tertiary Pediatric Department in Catania and compare the data with those reported in the literature. Methods A retrospectively review of the history, clinical findings, electrophysiological features and magnetic resonance images of 22 children presenting with gray matter heterotopia observed from January 2010 to January 2020. Results Among the 22 children included in the study, 17 presented with periventricular heterotopia (PVNH), two with Subcortical Band Heterotopia (SBH), and three with other subcortical heterotopia (SUBH). In the affected children, the ages at first diagnosis ranged from 3 months to 16 years with a mean age of 8.2 years (± 5.4); twelve (54.5%) suffered by developmental delay and intellectual deficit; eleven children (50%) complained of epileptic seizures, mostly focal to bilateral tonic–clonic seizure. In addition, in the periventricular heterotopia group (PVNH), cerebral and systemic malformations were reported in twelve (70%) and in ten (58%) children, respectively, out of seventeen. In the SBH plus SUBH group, epileptic seizures were recorded in 3 (60%) out of 5 children, cerebral malformations in one child and systemic malformations in two children. Conclusions Heterotopic gray matter malformations include a group of disorders that manifest with a variety of neurological implications, such as cognitive impairment and epilepsy, and often related with epilepsy, other cerebral malformations and systemic anomalies.

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The clinical and imaging features of gray matter heterotopia: a clinical analysis on 15 patients

Cited by 10 publications

References 13 publications

Using magnetic resonance fingerprinting to characterize periventricular nodular heterotopias in pharmacoresistant epilepsy

Using magnetic resonance fingerprinting to characterize periventricular nodular heterotopias in pharmacoresistant epilepsy

Comparative Evaluation of Apparent Diffusion Coefficient Values of White Matter Surrounding the Heterotopia in Children With Unilateral Subependymal Heterotopia

Gray matter heterotopia: clinical and neuroimaging report on 22 children

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