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Talk by Prof. Simon Eickhoff

INM-7, Jülich Research Centre and

Heinrich Heine University Düsseldorf

07 Apr 2021 11:00
07 Apr 2021

We hereby announce the next talk in the
'Computational and Systems Neuroscience Virtual Seminar' in short: 'CSN Virtual Seminar'

Looking back to move forward: Meta-Analytic priors for machine-learning on fMRI


Prof. Simon Eickhoff
INM-7, Jülich Research Centre and

Heinrich Heine University Düsseldorf

on Wed, 7th of Apr 2021, 11am

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Whereas the potential inference from any single neuroimaging study is limited to method-inherent drawbacks, the high degree of standardization in neuroimaging research allows pooling and integration of activation results from several thousands of experiments. Moreover, large-scale databases of neuroimaging results have emerged over the last years that compile this wealth of information. In this talk, I would like to outline, how emerging meta-analytic tools may be used to capitalize on these resources and provide new insights into several aspects pertaining to the organization of the human brain: i) The localization of brain functions and its relationship to task-specific confounds ii) The functional roles underlying, e.g., morphometric, findings, including formal inference for functional decoding iii) The identification of functional connectivity in a task-based state through the mapping of co-activations. iv) How these may complement information on connectivity in the unconstrained, endogenously driven task-free "resting" state v) The delineation of cortical modules by data-driven clustering of co-activation patterns, which, in combination with the other described methods described in this talk, entails the possibility for functional brain mapping and atlasing. Finally, I will illustrate how this knowledge on human brain organization can be leveraged for inference on socio-affective or cognitive traits in previously unseen individual subjects or psychopathology in mental disorders. Providing a bidirectional translation, such application will in turn provide information on the respective brain regions and networks.

Guests are welcome.