• [17.07.23]Prof. Katrin Amunts's Lecture: The Human Brain Project – towards an understanding of the multi-level organisation of the human brain
• [17.08.24]Dr. Anqi Qiu's Lecture: Biological Origin of Mental Illness: Evidence from Infant Brain Imaging and Genetics
• [17.07.26]Hemispheric differences in electrical and hemodynamic responses during hemifield visual stimulation with graded contrasts
• [17.07.26]Multimodal Fusion with Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia.
• [19.10.16]Impact of COMT haplotypes on functional connectivity density and its association with the gene expression of dopamine receptors

• [19.08.30]Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data
• [19.08.22]Corresponding anatomical and coactivation architecture of the human precuneus showing similar connectivity patterns with macaques
• [19.06.18]Brainnetome Lecture Series - Controlling control through mechanisms of leanring and memory
• [19.02.25]Brainnetome Lecture Series - Physical exercise improves cognition by inducing hippocampal structural and functional changes in the aged murine brain that are dependent on neurogenesis
• [19.02.19]Brainnetome Lecture Series - Heterogeneous Analysis of Large-scale Medical Imaging Data

• [19.01.16]Hyperconnectivity in perisylvian language pathways in schizophrenia with auditory verbal hallucinations: A multi-site diffusion MRI study
• [18.12.04]Brainnetome Lecture Series - Concurrent Multisensory Integration and Segregation in a Decentralized Network in the Brain
• [18.10.26]Prof. Claus C Hilgetag's Lecture: Let’s call it "Understanding functional contributions and interactions in brain networks from computational modelling and lesion analysis”
• [18.08.21]Dr. Carlo Vittorio Cannistraci's Lecture: Machine Learning and Complex Networks for Complex Systems big Data Analysis and Precision Medicine
• [18.08.20]Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics