Description

During the last decade it has become apparent that activity in the brain is structured in networks, and resting-state functional connectivity has gained immense popularity. For the analyses of resting state connectivity, however, data is filtered to a very low frequency. This makes it difficult to relate findings to cognition, which happens on a much faster timescale. In this project, we will use a new statistical modelling technique for magnetoencephalography (MEG) that is able to detect networks on a scale of hundreds of milliseconds, allowing us to investigate the flow of information through functional networks of the brain while a subject is performing a classic auditory oddball task. Besides this, we will perform a more conventional epoch analysis on the same data. A preliminary analysis like this, on a subset of the data, has already shown strong indications of early auditory processing deficits in persons with MS, which is a remarkable finding. We will relate this and other findings from both analyses to structural damage using diffusion tensor imaging (DTI). Besides general measures of white matter damage, we will be able to specifically investigate the structural integrity of the auditory processing tracts and relate these to the early auditory processing deficits. In sum, this project will allow us to investigate cognitive impairment in MS, with a new technique that could change how cognition is studied, and the impact of general and specific structural damage.
AcronymFWOTM849
StatusActive
Effective start/end date1/10/1730/09/21

    Flemish discipline codes

  • Cognitive neuroscience

    Research areas

  • transient networks, structural damage

ID: 34638889