will take place on Tuesday, April 19, 2016 from 17:15 to 18:15 in CBBM Building, Ground Floor, Room 50/51.
Host: Prof. Sören Krach
Department of Psychiatry and Psychotherapy
Universität zu Lübeck
Abstract
Whereas the potential inference from any single neuroimaging study is limited to method-inherent drawbacks, the high degree of standardization in neuroimaging research allows to pooling and integration of activation results from several thousends of experiments. Moreover, several large-scale databases of neurimaging results have emerged over the last years, that compile this walth of information. In this talk, I would like to outline, how emerging meta-analytic tools may be use to draw on these resources and provide new insights into several aspects pertaining to the organization of the human brain: i) The localization of brain functionsand 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, endogeneously 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.
CV
Simon Eickhoff studied medicine in Aachen, Sheffield, Sydney and London. He received his doctorate degree in neuroanatomy in 2006, following work on brain histology and structure-function correlations at the Heinrich-Heine University in Düsseldorf. He went on to work as a post-doctoral fellow in functional neuroanatomy at the Research Center Jülich, Germany before being appointed as assistant professor for Psychiatry at the RWTH Aachen in 2009. Here his work centered on functional MRI and network analysis. Since 2011 he is professor for cognitive neuroscience at the Heinrich-Heine University in Düsseldorf and deputy director of the Institute of Neuroscience and Medicine in Jülich, where he leads the Brain Network Modeling group. He is furthermore a visiting professor at the Chinese Academy of Science Institute of Automation. His main research interest is the development and application of novel analysis tools and approaches for large-scale, multi-modal analysis of brain structure, function and connectivity.
Simon Eickhoff has received numerous awards, among them the OHBM Wiley Young Investigator Awards 2015, the Nils-A-Lassen Award of the German Society of Clinical Neurophysiology 2013 and the Research Award from the German Psychiatric Association in 2009. He has recently been recognized as a „highly cited researcher“ by Thompson Reuters (ISI), having published more than 270 papers with an h-index of 57. He is the developer of the SPM Anatomy Toolbox and a major contributor to ALE and the BrainMap project.
www.fz-juelich.de/inm/inm-1/EN/Forschung/Brain_Network_Modeling/Brain_Network_Modeling_node.html
