Magnetic resonance imaging features of isolated periventricular heterotopia in pediatric epilepsy: a comparative study

Objective: Periventricular nodular heterotopia is a neurodevelopmental disorder in which neurons fail to migrate to the cortical surface, forming discrete areas of grey matter adjacent to the lateral ventricles. Given that periventricular nodular heterotopia is seen as an incidental finding in patients without epilepsy, causality between periventricular nodular heterotopia and epilepsy cannot be assumed. Furthermore, the structural characteristics of periventricular nodular heterotopia in patients with epilepsy are poorly defined and can be misleading. In this article, we investigate whether structural radiological characteristics of heterotopia can predict epileptogenicity in pediatric patients. Methods: Pediatric patients with periventricular nodular heterotopia, but no other epilepsy-associated cortical abnormalities on magnetic resonance imaging, were identified and divided into two groups: with epilepsy and without epilepsy. Radiological characteristics of laterality, regionalization, largest dimension and number of nodules were compared between the two groups. Results: Only periventricular nodular heterotopia spreading across several regions was associated with a statistically higher chance of epilepsy. Other features including laterality, individual region, number and largest dimension did not reliably predict epileptogenicity. Significance: Most radiological characteristics of periventricular nodular heterotopia are similar in patients with and without epilepsy. The involvement of multiple periventricular regions with heterotopia was the only feature that inferred a higher risk of epilepsy. Periventricular nodular heterotopia requires a comprehensive work-up and should be interpreted in the context of each individual patient and not assumed to be directly causative of epilepsy, nor unrelated to it. Therefore, further studies using additional structural and functional imaging modalities are needed to determine the radiological features of epileptogenic periventricular nodular heterotopia.

Predictive encoding of motor behavior in the supplementary motor area is disrupted in parkinsonism.

Many studies suggest that Parkinson's disease (PD) is associated with changes in neuronal activity patterns throughout the basal ganglia-thalamocortical motor circuit. There are limited electrophysiological data, however, describing how parkinsonism impacts the presupplementary motor area (pre-SMA) and SMA proper (SMAp), cortical areas known to be involved in movement planning and motor control. In this study, local field potentials (LFPs) were recorded in the pre-SMA/SMAp of a nonhuman primate during a visually cued reaching task. Recordings were made in the same subject in both the naive and parkinsonian state using the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine model of parkinsonism. We found that in the naive animal, well before a go-cue providing instruction of reach onset and direction was given, LFP activity was dynamically modulated in both high (20-30 Hz) and low beta (10-20 Hz) bands, and the magnitude of this modulation (e.g., decrease/increase in beta amplitude for each band, respectively) correlated linearly with reaction time (RT) on a trial-to-trial basis, suggesting it may predictively encode for RT. Consistent with this hypothesis, we observed that this activity was more prominent within the pre-SMA compared with SMAp. In the parkinsonian state, however, pre-SMA/SMAp beta band modulation was disrupted, particularly in the high beta band, such that the predictive encoding of RT was significantly diminished. In addition, the predictive encoding of RT preferentially within pre-SMA over SMAp was lost. These findings add to our understanding of the role of pre-SMA/SMAp in motor behavior and suggest a fundamental role of these cortical areas in early preparatory and premovement processes that are altered in parkinsonism. NEW & NOTEWORTHY Goal-directed movements, such as reaching for an object, necessitate temporal preparation and organization of information processing within the basal ganglia-thalamocortical motor network. Impaired movement in parkinsonism is thought to be the result of pathophysiological activity disrupting information flow within this network. This work provides neurophysiological evidence linking altered motor preplanning processes encoded in pre-SMA/SMAp beta band modulation to the pathogenesis of motor disturbances in parkinsonism.

Respiratory influence on left atrial volume calculation with 3D-echocardiography.

BACKGROUND: Left atrial volume (LAV) estimation with 3D echocardiography has been shown to be more accurate than 2D volume calculation. However, little is known about the possible effect of respiratory movements on the accuracy of the measurement. METHODS: 100 consecutive patients admitted with chest pain were examined with 3D echocardiography and LAV was quantified during inspiratory breath hold, expiratory breath hold and during free breathing. RESULTS: Of the 100 patients, only 65 had an echocardiographic window that allowed for 3D echocardiography in the entire respiratory cycle. Mean atrial end diastolic volume was 45.4 ± 14.5 during inspiratory breath hold, 46.4 ± 14.8 during expiratory breath hold and 45.6 ± 14.3 during free respiration. Mean end systolic volume was 17.6 ± 7.8 during inspiratory breath hold, 18.8 ± 8.0 during expiratory breath hold and 18.3 ± 8.0 during free respiration. No significant differences were seen in any of the measured parameters. CONCLUSIONS: The present study adds to the feasibility of 3D LAV quantitation. LAV estimation by 3D echocardiography may be performed during either end-expiratory or end-inspiratory breath-hold without any significant difference in the calculated volume. Also, the LAV estimation may be performed during free breathing.