Aim We performed a meta‐analysis with individual participant data of deep brain stimulation (DBS) for dystonia in children and young people. Method Three databases (PubMed, Embase, and Web of Science) were queried from January 1999 to August 2017 with no language restrictions to identify case studies and cohort studies reporting on pediatric patients (age ≤21y) with dystonia. The primary outcomes were changes in Burke‐Fahn‐Marsden (BFM) or Barry‐Albright Dystonia Scale scores. A mixed‐effects regression was used to identify associations between clinical covariates and outcomes. Results Of 2509 citations reviewed, 72 articles (321 children) were eligible. At last follow‐up (median 12mo, 25th centile=9.0; 75th centile=32.2), 277 (86.3%) patients showed improvement in dystonia, while 66.1 percent showed clinically significant (>20%) BFM Dystonia Rating Scale‐motor improvement. On multivariable hierarchical regression, older age at dystonia onset, inherited dystonia without nervous system pathology and idiopathic dystonia (vs inherited with nervous system pathology or acquired dystonia), and truncal involvement indicated a better outcome (p<0.05). Interpretation The data suggest that DBS is effective and should be considered in selected children with inherited or idiopathic dystonia. What this paper adds Deep brain stimulation is effective in selected children with inherited or idiopathic dystonia.
Although chronic vagus nerve stimulation (VNS) is an established treatment for medically-intractable childhood epilepsy, there is considerable heterogeneity in seizure response and little data are available to pre-operatively identify patients who may benefit from treatment. Since the therapeutic effect of VNS may be mediated by afferent projections to the thalamus, we tested the hypothesis that intrinsic thalamocortical connectivity is associated with seizure response following chronic VNS in children with epilepsy. Twenty-one children (ages 5–21 years) with medically-intractable epilepsy underwent resting-state fMRI prior to implantation of VNS. Ten received sedation, while 11 did not. Whole brain connectivity to thalamic regions of interest was performed. Multivariate generalized linear models were used to correlate resting-state data with seizure outcomes, while adjusting for age and sedation status. A supervised support vector machine (SVM) algorithm was used to classify response to chronic VNS on the basis of intrinsic connectivity. Of the 21 subjects, 11 (52%) had 50% or greater improvement in seizure control after VNS. Enhanced connectivity of the thalami to the anterior cingulate cortex (ACC) and left insula was associated with greater VNS efficacy. Within our test cohort, SVM correctly classified response to chronic VNS with 86% accuracy. In an external cohort of 8 children, the predictive model correctly classified the seizure response with 88% accuracy. We find that enhanced intrinsic connectivity within thalamocortical circuitry is associated with seizure response following VNS. These results encourage the study of intrinsic connectivity to inform neural network-based, personalized treatment decisions for children with intractable epilepsy.
The current study provides a comprehensive reference on the usage of social media in epilepsy. The number of online users interested in epilepsy is likely the highest among all neurological conditions. Surgery, as a method of treating refractory epilepsy, however, could be underrepresented on social media.
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