2016/07/02 by Jennifer Rizkallah, J. Rizkallah, P. Benquet +18
Biochemistry, Genetics and Molecular Biology · Neuroscience · Psychology · #Action Observation and Synchronization #EEG and Brain-Computer Interfaces #FOS: Biological sciences #Functional Brain Connectivity Studies #Neurons and Cognition (q-bio.NC) #q-bio.NC
paper · pdf · doi:10.48550/arxiv.1607.00516
The 3rd Middle East Conference on Biomedical Engineering (MECBME'16)
arxiv created 2016/07/02 · openalex publication_date 2016/07/02 · arxiv updated 2016/07/05 · openalex created_date 2019/07/30 · openalex updated_date 2026/07/28
Network modularity is a key feature for efficient information processing in the human brain. This information processing is however dynamic and networks can reconfigure at very short time period, few hundreds of millisecond. This requires neuroimaging techniques with sufficient time resolution. Here we use the dense electroencephalography, EEG, source connectivity methods to identify cortical networks with excellent time resolution, in the order of millisecond. We identify functional networks during picture naming task. Two categories of visual stimuli were presented, meaningful (tools, animals) and meaningless (scrambled) objects. In this paper, we report the reconfiguration of brain network modularity for meaningful and meaningless objects. Results showed mainly that networks of meaningful objects were more modular than those of meaningless objects. Networks of the ventral visual pathway were activated in both cases. However a strong occipitotemporal functional connectivity appeared for meaningful object but not for meaningless object. We believe that this approach will give new insights into the dynamic behavior of the brain networks during fast information processing.