Intracranial recordings

…control through experimental design, intracranial recordings, single-neuron and local-field-potential analyses, and computational behavioural models. The researcher joins Roshan Cools’s group at the Donders Centre for Cognitive Neuroimaging and collaborates with Florian Mormann’s group in Bonn for intracranial data collection and analysis. Employment is through Radboudumc Psychiatry in the Netherlands. The appointment is 32–36 hours weekly for one year, with a prospect of extension.

…sounds using spatiotemporally precise intracranial recordings from human neurosurgical patien

The sound structures that convey meaning in speech such as phonemes and words vary widely in their duration. As a consequence, integrating across absolute time (e.g., 100 ms) and sound structure (e.g., phonemes) reflect fundamentally distinct neural computations. Auditory and cognitive models have often cast neural integration in terms of time and structure, respectively, but whether neural computations in the auditory cortex reflect time or structure remains unknown. To answer this question, we rescaled the duration of all speech structures using time stretching/compression and measured integ

…neuroimaging and non-invasive neural recordings fail to localise seizure onset zones (SOZ), intracranial recordings become the best chance for localisation and seizure-freedom in those patients. However, intracranial neural activities remain hard to visually discriminate across recording channels, which limits the success of intracranial visual investigations. In this presentation, I present methods which quantify intracranial neural time series and combine them with explainable machine learning algorithms to localis

…the DMN in divergent thinking through intracranial recordings in 8 patients with electrodes implanted for epilepsy monitoring. Subjects performed a creativity-requiring alternate uses task (AUT) and two control tasks (Fig. 1a)—a basic arithmetic task (BAT) and an object characterization task (OCT). The originality of subjects’ AUT responses was automatically scored u

The neural mechanisms of semantic processing are difficult to delineate from lexical, acoustic, and speech-motor neural activity since most relevant neuropsychological tests require language. Furthermore, distinct signal properties of different cortical semantic processing regions may require a more comprehensive analysis of neural signal components than standard (BOLD, high gamma) metrics. We developed a Visual-based Semantic Association Task (ViSAT), evolved from predecessors (Pyramids & Palm Trees test; Camels & Cactus Test) and scaled to 100 unique trials using real-life color pict

In the analysis of neuro-electrophysiological recordings, recent developments have emphasized that as well as the commonly analyzed rhythmic or oscillatory activity, there is also prominent arrhythmic, or aperiodic activity. The distinction between periodic and aperiodic activity is important – methodologically because these two components can be conflated by common analysis approaches that do not explicitly consider the different forms of the data, and scientifically, as the two features have distinct interpretations in terms of the underlying circuit dynamics and physiological properties. In