Multiscale fingerprinting of neuronal functional connectivity

Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity

All individuals are unique. Nevertheless, human neuroimaging studies have traditionally collapsed data from many subjects to draw inferences about general patterns of brain activity that are common across people. Studies that contrast two populations—such as patients and healthy controls—typically ignore the considerable heterogeneity within each group. Despite the predominance of such populati...

Mapping functional connectivity of bursting neuronal networks

*Correspondence: [email protected] The College of New Jersey, Department of Physics, 08628 Ewing, NJ, USA Abstract Using single-cell laser scanning photostimulation (LSPS) combined with broad-field calcium imaging, we measured the functional connectivity of neuronal cultures before and after the developmental appearance of network bursting. From these data, network properties were determined for...

Statistical Learning of Neuronal Functional Connectivity

Pseudo-Bootstrap Network Analysis—an Application in Functional Connectivity Fingerprinting

Brain parcellation divides the brain's spatial domain into small regions, which are represented by nodes within the network analysis framework. While template-based parcellations are widely used, the parcels on the template do not necessarily match individual's functional nodes. A new method is developed to overcome the inconsistent network analysis results by by-passing the difficulties of par...

Functional connectivity in in vitro neuronal assemblies

Complex network topologies represent the necessary substrate to support complex brain functions. In this work, we reviewed in vitro neuronal networks coupled to Micro-Electrode Arrays (MEAs) as biological substrate. Networks of dissociated neurons developing in vitro and coupled to MEAs, represent a valid experimental model for studying the mechanisms governing the formation, organization and c...