Epileptic spasms in paediatric post‐traumatic epilepsy at a tertiary referral centre

Aim. To recognize epileptic spasms (ES) as a seizure type after traumatic brain injury (TBI), accidental or non‐accidental, in infants and children. In the process, we aim to gain some insight into the mechanisms of epileptogenesis in ES.Methods. A retrospective electronic chart review was performed at the Children’s Hospital of Michigan from 2002 to 2012. Electronic charts of 321 patients were reviewed for evidence of post‐traumatic epilepsy. Various clinical variables were collected including age at TBI, mechanism of trauma, severity of brain injury, electroencephalography/neuroimaging data, and seizure semiology.Results. Six (12.8%) of the 47 patients diagnosed with post‐traumatic epilepsy (PTE) had ES. Epileptic spasms occurred between two months to two years after TBI. All patients with ES had multiple irritative zones, manifesting as multifocal epileptiform discharges, unilateral or bilateral. Cognitive delay and epileptic encephalopathy were seen in all six patients, five of whom were free of spasms after treatment with vigabatrin or adrenocorticotropic hormone.Conclusion. The risk of PTE is 47/321(14.6%) and the specific risk of ES after TBI is 6/321 (1.8%). The risk of ES appears to be high if the age at which severe TBI occurred was during infancy. Non‐accidental head trauma is a risk factor of epileptic spasms. While posttraumatic epilepsy (not ES) may start 10 years after the head injury, ES starts within two years, according to our small cohort. The pathophysiology of ES is unknown, however, our data support a combination of previously proposed models in which the primary dysfunction is a focal or diffuse cortical abnormality, coupled with its abnormal interaction with the subcortical structures and brainstem at a critical maturation stage.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/136710/1/epd2900.pd

Evaluation of age-related changes in translocator protein (TSPO) in human brain using \u3csup\u3e11\u3c/sup\u3eC-[R]-PK11195 PET

Abstract Background We studied the distribution and expression of translocator protein in the human brain using 11C-[R]-PK-11195 positron emission tomography (PK11195 PET) and evaluated age-related changes. Methods A dynamic PK11195 PET scan was performed in 15 normal healthy adults (mean age: 29 ±8.5 years (range: 20 to 49); 7 males) and 10 children (mean age: 8.8 ±5.2 years (range: 1.2 to 17); 5 males), who were studied for potential neuroinflammation but showed no focally increased PK11195 binding. The PET images were evaluated by calculating standard uptake values and regional binding potential, based on a simplified reference region model, as well as with a voxel-wise analysis using statistical parametric mapping. Results PK11195 uptake in the brain is relatively low, compared with the subcortical structures, and symmetrical. The overall pattern of PK11195 distribution in the brain does not change with age. PK11195 uptake was lowest in the frontal-parietal-temporal cortex and highest in the pituitary gland, midbrain, thalamus, basal ganglia, occipital cortex, hippocampus and cerebellum, in descending order. White matter showed negligible PK11195 uptake. Overall, brain PK11195 uptake increased with age, with midbrain and thalamus showing relatively higher increases with age compared with other brain regions. Conclusions The brain shows low PK11195 uptake, which is lower in the cortex and cerebellum compared with subcortical structures, suggesting a low level of translocator protein expression. There is no hemispheric asymmetry in PK11195 uptake and the overall pattern of PK11195 distribution in the brain does not change with age. However, brain PK11195 uptake increases with age, with the thalamus and midbrain showing relatively higher increases compared with other brain regions. This increase in uptake suggests an age-related increase in translocator protein expression or the number of cells expressing these receptors or both

The role of ICNA in Africa

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/106854/1/j.1469-8749.2011.03972.x.pd

Transition into adulthood: Tuberous sclerosis complex, S turge‐ W eber syndrome, and R asmussen encephalitis

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/108590/1/epi12722.pd

Multimodality Data Integration in Epilepsy

An important goal of software development in the medical field is the design of methods which are able to integrate information obtained from various imaging and nonimaging modalities into a cohesive framework in order to understand the results of qualitatively different measurements in a larger context. Moreover, it is essential to assess the various features of the data quantitatively so that relationships in anatomical and functional domains between complementing modalities can be expressed mathematically. This paper presents a clinically feasible software environment for the quantitative assessment of the relationship among biochemical functions as assessed by PET imaging and electrophysiological parameters derived from intracranial EEG. Based on the developed software tools, quantitative results obtained from individual modalities can be merged into a data structure allowing a consistent framework for advanced data mining techniques and 3D visualization. Moreover, an effort was made to derive quantitative variables (such as the spatial proximity index, SPI) characterizing the relationship between complementing modalities on a more generic level as a prerequisite for efficient data mining strategies. We describe the implementation of this software environment in twelve children (mean age 5.2 ± 4.3 years) with medically intractable partial epilepsy who underwent both high-resolution structural MR and functional PET imaging. Our experiments demonstrate that our approach will lead to a better understanding of the mechanisms of epileptogenesis and might ultimately have an impact on treatment. Moreover, our software environment holds promise to be useful in many other neurological disorders, where integration of multimodality data is crucial for a better understanding of the underlying disease mechanisms

“Subtotal” hemispherectomy in children with intractable focal epilepsy

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/109835/1/epi12845.pd

Is epileptogenic cortex truly hypometabolic on interictal positron emission tomography?

Positron emission tomography (PET) of glucose metabolism is often applied for the localization of epileptogenic brain regions, but hypometabolic areas are often larger than or can miss epileptogenic cortex in nonlesional neocortical epilepsy. The present study is a three-dimensional brain surface analysis designed to demonstrate the functional relation between glucose PET abnormalities and epileptogenic cortical regions. Twelve young patients (mean age, 10.8 years) with intractable epilepsy of neocortical origin underwent chronic intracranial electroencephalographic monitoring. The exact location of the subdural electrodes was determined on high-resolution three-dimensional reconstructed magnetic resonance imaging scan volumes. The electrodes were classified according to their locations over cortical areas, which were defined as hypometabolic, normometabolic, or at the border between hypometabolic and normal cortex (metabolic “border zones”) based on interictal glucose PET. Electrodes with seizure onset were located over metabolic border zones significantly more frequently than over hypometabolic or normometabolic regions. Seizure spread electrodes also more frequently overlay metabolic border zones than hypometabolic regions. These findings suggest that cortical areas with hypometabolism should be interpreted as regions mostly not involved in seizure activity, although epileptic activity commonly occurs in the surrounding cortex. This feature of hypometabolic cortex is remarkably similar to that of structural brain lesions surrounded by epileptogenic cortex. Cortical areas bordering hypometabolic regions can be highly epileptogenic and should be carefully assessed in presurgical evaluations. Ann Neurol 2000;48:88–96Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/34882/1/13_ftp.pd

Objective method for localization of cortical asymmetries using positron emission tomography to aid surgical resection of epileptic foci

We designed a semiautomated method for the objective detection of abnormal regions of tracer accumulation in the brain. The purpose of the present study was to examine the diagnostic performance of this method by applying it to patients with clinically intractable epilepsy of unilateral origin; they underwent [F-18] deoxyglucose positron emission tomography (PET) prior to surgical resection of epileptic foci. A semiautomated method for assessment of asymmetries in the brain cortex was developed that compares activity concentrations in homotopic cortical areas. When these differences exceeded a predefined threshold, the areas with lower activity were marked and 3-dimensional surface rendered images were created to guide placement of intracranial electrodes (ECoG) followed by surgical resection. The normal amount of asymmetry between small (0.5–0.7 cm 2 ) homotopic cortical regions was determined as 5.9 ± 4.0% (mean ± SD). The false-positive fraction was determined for cutoff thresholds of 1 SD (10%), 1.5 SD (12%), and 2 SD (15%) outside the mean and was found to be 89, 44, and 0%, respectively. The obtained sensitivity-specificity pairs for correct localization of epileptogenic lobes based on the ECoG results were best for the 15% threshold (80/94%, accuracy 0.90). This objective PET method allows the accurate determination of cortical asymmetries, and it proved to be highly efficient in guiding epilepsy surgery. Comp Aid Surg 74–82 (1998). © 1998 Wiley-Liss, Inc.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/35224/1/4_ftp.pd

Dynamic Gene Expression in the Human Cerebral Cortex Distinguishes Children from Adults

In comparison with other primate species, humans have an extended juvenile period during which the brain is more plastic. In the current study we sought to examine gene expression in the cerebral cortex during development in the context of this adaptive plasticity. We introduce an approach designed to discriminate genes with variable as opposed to uniform patterns of gene expression and found that greater inter-individual variance is observed among children than among adults. For the 337 transcripts that show this pattern, we found a significant overrepresentation of genes annotated to the immune system process (pFDR≅0). Moreover, genes known to be important in neuronal function, such as brain-derived neurotrophic factor (BDNF), are included among the genes more variably expressed in childhood. We propose that the developmental period of heightened childhood neuronal plasticity is characterized by more dynamic patterns of gene expression in the cerebral cortex compared to adulthood when the brain is less plastic. That an overabundance of these genes are annotated to the immune system suggests that the functions of these genes can be thought of not only in the context of antigen processing and presentation, but also in the context of nervous system development