We review a simple yet versatile approach for the analysis of multichannel data, focusing in
particular on brain signals measured with EEG, MEG, ECoG, LFP or optical imaging …

The human brain can be divided into multiple areas, each responsible for different aspects
of behaviour. Healthy brain function relies upon efficient connectivity between these areas …

Functional connectivity (FC) between brain regions is thought to be central to the way in
which the brain processes information. Abnormal connectivity is thought to be implicated in a …

Neuronal hyperexcitability and inhibitory interneuron dysfunction are frequently observed in
preclinical animal models of Alzheimer's disease (AD). This study investigates whether …

Intractable focal epilepsy is a devastating disorder with profound effects on cognition and
quality of life. Epilepsy surgery can lead to seizure freedom in patients with focal epilepsy; …

Gliomas synaptically integrate into neural circuits,. Previous research has demonstrated
bidirectional interactions between neurons and glioma cells, with neuronal activity driving …

Contemporary philosophical and neurocognitive studies of the self have dissociated two
distinct types of self-awareness: a “narrative” self-awareness (NS) weaving together …

Magnetoencephalography (MEG) is a sophisticated tool which yields rich information on the
spatial, spectral and temporal signatures of human brain function. Despite unique potential …

We present a method for removing unwanted components of biological origin from
neurophysiological recordings such as magnetoencephalography (MEG) …

We present an algorithm for removing environmental noise from neurophysiological
recordings such as magnetoencephalography (MEG). Noise fields measured by reference …