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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

Watch the talk live at


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.