A 9-month retrospective evaluation of the aetiology and management of patients presenting with encephalitis/meningoencephalitis at a South London hospital.

Encephalitis causes high morbidity and mortality. An incidence of 4.3 cases of encephalitis/100 000 population has been reported in the UK. We performed a retrospective evaluation of the diagnosis and management of adults admitted to hospital with a clinical diagnosis of encephalitis/meningoencephalitis. Clinical, laboratory and radiological data were collated from electronic records. Thirty-six patients, median age 55 years and 24 (67%) male were included. The aetiology was confirmed over nine months in 25 (69%) of whom 16 were infections (six viral, seven bacterial, two parasitic and one viral and parasitic co-infection); 7 autoimmune; 1 metabolic and 1 neoplastic. Of 24 patients with fever, 15 (63%) had an infection. The median time to computed topography, magnetic resonance imaging and electroencephalography (EEG) was 1, 8 and 3 days respectively. Neuroimaging was abnormal in 25 (69%) and 17 (89%) had abnormal EEGs. Only 19 (53%) received aciclovir treatment. Six (17%) made good recoveries, 16 (44%) had moderate disability, 8 (22%) severe disability and 6 (17%) died. Outcomes were worse for those with an infectious cause. In summary, a diagnosis was made in 69.4% of patients admitted with encephalitis/meningoencephalitis. Autoimmune causes are important to consider at an early stage due to a successful response to treatment. Only 53% of patients received aciclovir on admission. Neuroimaging and EEG studies were delayed. The results of this work resulted in further developing the clinical algorithm for managing these patients.

Evolving Complexity in Cooperative and Competitive Noisy Prediction Games.

We examine the effect of cooperative and competitive interactions on the evolution of complex strategies in a prediction game. We extend previous work to the domain of noisy games, defining a new organism and mutation model, and an accompanying novel complexity metric. We find that a mix of cooperation and competition is the most effective in driving complexity growth, confirming prior results. We also compare our complexity metric with simpler metrics such as raw strategy size, and demonstrate the effectiveness of our metric in distinguishing true complexity from mere genetic bloat.

Evolving Complexity in Prediction Games.

To study open-ended coevolution, we define a complexity metric over interacting finite state machines playing formal language prediction games, and study the dynamics of populations under competitive and cooperative interactions. In the past purely competitive and purely cooperative interactions have been studied extensively, but neither can successfully and continuously drive an arms race. We present quantitative results using this complexity metric and analyze the causes of varying rates of complexity growth across different types of interactions. We find that while both purely competitive and purely cooperative coevolution are able to drive complexity growth above the rate of genetic drift, mixed systems with both competitive and cooperative interactions achieve significantly higher evolved complexity.

Quantitative EEG as a Prognostic Tool in Suspected Anti-N-Methyl- d -Aspartate Receptor Antibody Encephalitis.

PURPOSE: Anti-N-methyl- d -aspartate receptor (anti-NMDAR) encephalitis is a form of autoimmune encephalitis associated with EEG abnormalities. In view of the potentially severe outcomes, there is a need to develop prognostic tools to inform clinical management. The authors explored whether quantitative EEG was able to predict outcomes in patients with suspected anti-NMDAR encephalitis. METHODS: A retrospective, observational study was conducted of patients admitted to a tertiary clinical neuroscience center with suspected anti-NMDAR encephalitis. Peak power and peak frequency within delta (<4 Hz), theta (4-8 Hz), alpha (8 - 13 Hz), and beta (13-30 Hz) frequency bands were calculated for the first clinical EEG recording. Outcome was based on the modified Rankin Scale (mRS) score at 1 year after hospital discharge. Binomial logistic regression using backward elimination was performed with peak frequency and power, anti-NMDAR Encephalitis One-Year Functional Status score, age, and interval from symptom onset to EEG entered as predictors. RESULTS: Twenty patients were included (mean age 48.6 years, 70% female), of which 7 (35%) had a poor clinical outcome (mRS 2-6) at 1 year. There was no association between reported EEG abnormalities and outcome. The final logistic regression model was significant (χ 2 (1) = 6.35, P < 0.012) with peak frequency in the delta range (<4 Hz) the only retained predictor. The model explained 38% of the variance (Nagelkerke R2 ) and correctly classified 85% of cases. Higher peak frequency in the delta range was significantly associated ( P = 0.04) with an increased likelihood of poor outcome. CONCLUSIONS: In this exploratory study, it was found that quantitative EEG on routinely collected EEG recordings in patients with suspected anti-NMDAR encephalitis was feasible. A higher peak frequency within the delta range was associated with poorer clinical outcome and may indicate anti-NMDAR-mediated synaptic dysfunction. Quantitative EEG may have clinical utility in predicting outcomes in patients with suspected NMDAR antibody encephalitis, thereby serving as a useful adjunct to qualitative EEG assessment; however, given the small sample size, replication in a larger scale is indicated.

High-density SNP screen of sodium channel genes by haplotype tagging and DNA pooling for association with idiopathic generalized epilepsy.

We have investigated seven voltage-gated sodium channel genes for association with idiopathic generalized epilepsy (IGE). Probands and control DNA were grouped into pools and used to screen 85 single-nucleotide polymorphisms (SNPs), mostly HapMap SNPs tagging the common variation in these genes. Twelve SNPs exhibiting an allele frequency difference between pools were genotyped individually in our sample of 232 probands, 313 controls, and 95 parent-proband trios. Two SNPs, in SCN1A and SCN8A, were associated by allele and genotype at nominal level of significance, but were not significant after Bonferroni correction. Two SCN2A SNPs (rs3943809 and rs16850331) were associated by case-control with a subgroup with IGE and history of febrile seizures and also by transmission disequilibrium test (TDT) in parent-proband trios. Both SNPs are part of a linkage disequilibrium (LD) cluster of 38 SNPs, but none are obvious functional variants. The association of rs3943809 with the febrile seizure subgroup (p = 0.0004) remains significant after the conservative Bonferroni correction for multiple testing.

Emergence of new-onset psychotic disorder following recovery from LGI1 antibody-associated limbic encephalitis.

Neuronal autoantibodies targeting cell surface antigens have been described in association with autoimmune encephalitides which frequently feature psychosis and other psychiatric disturbances alongside neurological signs and symptoms. Little has been written however about the long-term psychiatric status of individuals following recovery from the acute phase of autoimmune encephalitis, despite case series and anecdotal evidence suggesting this may be a cause of considerable disability. Here, we describe a man aged 58 years with no psychiatric history who developed a severe and acute psychotic disorder following resolution of a protracted course of limbic encephalitis associated with antibodies to leucine-rich glioma inactivated 1 protein. No indications of a gross ongoing inflammatory or encephalopathic process were present at presentation of his psychosis. Possible aetiologies of his acute psychosis are discussed. This case highlights the importance of ongoing psychiatric follow-up of patients following an episode of autoimmune encephalitis.

Spontaneous cerebrospinal fluid leak following a pilates class: a case report.

INTRODUCTION: A spinal cerebrospinal fluid leak is the most common cause of spontaneous intracranial hypotension which is an uncommon but increasingly recognized cause of headache. This article describes the first reported case of pilates being associated with a spontaneous spinal cerebrospinal fluid leak whilst also highlighting the key information about spontaneous cerebrospinal fluid leaks that will be useful to the general clinician. CASE PRESENTATION: We present the case of a 42-year-old Caucasian woman who developed a low-pressure headache following a pilates class. A computed tomography scan of her head demonstrated bilateral chronic subdural hematomas and cerebellar descent. Magnetic resonance imaging of her spine revealed the presence of extensive extradural cerebrospinal fluid collections. She responded to conservative management and repeat neuroimaging after symptom resolution revealed no abnormalities. CONCLUSIONS: Awareness and early recognition of spontaneous intracranial hypotension is important to prevent unnecessary investigations and delay in treatment. Pilates may be a risk factor for the development of a spontaneous cerebrospinal fluid leak.