Benign childhood epilepsy with centrotemporal spikes (BECTS) and developmental co-ordination disorder.

Background: Benign epilepsy with centro-temporal spikes (BECTS) is a common childhood epilepsy syndrome also known as Rolandic Epilepsy (RE). Neurocognitive phenotypes have been described with greater focus on attention, reading and language domains but there have been far fewer studies focusing on motor functioning. This study included measures of motor, language and cognition in order to investigate the range, degree and pattern of difficulties associated with BECTS in a case series of children, but with a particular emphasis on motor skills.

Ipsilateral cortical motor desynchronisation is reduced in Benign Epilepsy with Centro-Temporal Spikes.

Objective: Magnetoencephalography (MEG) and a simple motor paradigm were used to study induced sensorimotor responses and their relationship to motor skills in children diagnosed with Benign Epilepsy with Centro-Temporal Spikes (BECTS).

Methods: Twenty-one children with BECTS and 15 age-matched controls completed a finger abduction task in MEG; movement-related oscillatory responses were derived and contrasted between groups. A subset of children also completed psycho-behavioural assessments.

Associations between polygenic risk for schizophrenia and brain function during probabilistic learning in healthy individuals.

A substantial proportion of schizophrenia liability can be explained by additive genetic factors. Risk profile scores (RPS) directly index risk using a summated total of common risk variants weighted by their effect. Previous studies suggest that schizophrenia RPS predict alterations to neural networks that support working memory and verbal fluency.

Resting-state oscillatory dynamics in sensorimotor cortex in benign epilepsy with centro-temporal spikes and typical brain development.

Benign Epilepsy with Centro-Temporal Spikes (BECTS) is a common childhood epilepsy associated with deficits in several neurocognitive domains. Neurophysiological studies in BECTS often focus on centro-temporal spikes, but these correlate poorly with morphology and cognitive impairments. To better understand the neural profile of BECTS, we studied background brain oscillations, thought to be integrally involved in neural network communication, in sensorimotor areas.

Alzheimer's disease risk variant in CLU is associated with neural inefficiency in healthy individuals.

Introduction: Genome-wide association studies identify rs11136000 in the CLU gene, which codes for Apolipoprotein J/Clusterin, as a significant risk variant for Alzheimer's disease (AD). However, the mechanisms by which this variant confers susceptibility remain relatively unknown.

Methods: Eighty-five healthy Caucasian participants underwent functional magnetic resonance imaging during a working memory (WM) task and were genotyped for CLU rs11136000/APOE loci.

Evidence for increased visual gamma responses in photosensitive epilepsy.

Background: A sustained gamma (30-70 Hz) oscillation induced in occipital cortex by high-contrast visual stimulation has been well characterised in animal local field potential recordings and in healthy human participants using magnetoencephalography (MEG). The spatial frequency of a static grating stimulus that gives maximal gamma is also that most likely to provoke seizures in photosensitive epilepsy.

Methods: We used MEG to study visual responses induced by grating stimuli of varying contrast and size in twelve patients with photosensitive epilepsy and two matched control groups, one with epilepsy but no photosensitivity, the other healthy controls.

The properties of induced gamma oscillations in human visual cortex show individual variability in their dependence on stimulus size.

The role of gamma-band (typically 30-100 Hz) oscillations in visual processing is a topic of increasing interest. One hypothesis is that gamma oscillations reflect the action of GABAergic inhibitory processes in the visual cortex responsible for surround-suppression. Evidence from primate neurophysiology [Gieselmann & Thiele, A.