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Institute of Neuroscience and Medicine
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Brain Mapping

We develop and employ innovative methods for multi-modal mapping of brain regions and distributed networks in-vivo as well as the inference on their associated functions.

Picture for the topic "Brain Mapping"Left Area 44, the core of Broca's speech region, can be subdivided into five distinct modules based on local differences in co-activation patterns with other parts of the brain (Close et al., Neuroimage. 2013; Eickhoff et al., Neuroimage 2017)

One of the most specific but also challenging properties of the brain is its topographic organization into distinct modules or cortical areas. Our work aims to address topographical brain organization with a connectivity-based parcellation approach (CBP). We capitalize on multimodal CBP, that is, we combine different connectivity measures for CBP including structural covariance in grey matter volume as a proxy for co-plasticity, resting-state fMRI as reflecting intrinsic connectivity, and meta-analytic modeling estimating task-dependent connectivity. In addition to the scientific examination of brain organization at several scales, we work on methodological optimization (such as reliability and stability across samples and methods).

Another substantial line of research in this field is the behavioural profiling of brain regions. This research is also conducted using a multimodal approach. We developed expertise in the behavioural profiling of brain regions based on the collection of activation data from task fMRI and PET studies. In addition, we investigate how local features of brain regions, such as grey matter volume and cortical thickness, as well as connectivity features as reflected by resting-state functional connectivity and MRI diffusion-derived structural connectivity can be used for inferring behavioral properties of brain regions.


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