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Rajanikant Panda, PhD's Projects

fieldtrip icon fieldtrip

The MATLAB toolbox for MEG, EEG and iEEG analysis

hoi icon hoi

Retrieving high-order information multiplets from data using the O-information

ignition_and_information_flow_for_doc icon ignition_and_information_flow_for_doc

The code compute Intrinsic Ignition which quantify the alteration of whole-brain integration generated by naturally occurring intrinsic events and using tau, we measure the ‘memory depth’ of the signal. Further, using a model-based approach we look at the propagation of perturbations by causal spatiotemporal properties of time series given by the network effective connectivity (EC) and the dynamic communicability, i.e. time-dependent graph-like descriptors. From nodal communicability, we capture the capacity of the brain region to receive and broadcast information flow after perturbations.

integration-segregation-sw-efficiency icon integration-segregation-sw-efficiency

The code compute absolute and normalized graph theory measures, which includes Brain Network Integration, Segregation, Small worldness, global and local efficiency, degree plath length, modularity, comunity index etc... The program uses BCT functions, so to run this program you should have BCT toolbox in your MATLAB path BCT toolbox can be download from here: https://sites.google.com/site/bctnet/

mvpa-for-meg icon mvpa-for-meg

Sensor and source-space MVPA analysis scripts for MEG data processed with Fieldtrip.

opyn icon opyn

A Python package for construction and analysis of ordinal partition networks from time-series data.

pymou icon pymou

Light package for connectivity estimation and analysis of neuroimaging data (e.g. fMRI). It relies on the multivariate Ornstein-Uhlenbeck process (MOU).

structural-connectome-project icon structural-connectome-project

A few scripts that generate a structural connectivity matrix for 104 regions in the human brain, as well as plots to analyze the density, node weight, edge weight, and other analyses. This data was used in my paper on structural connectivity and popular theories of consciousness.

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