Name: Rajanikant Panda, PhD
Type: User
Company: University of California San Francisco (UCSF)
Bio: I'm a Postdoc Researcher at UCSF. My research focus to analyze brain dynamics through connectivity, graph-information theory and modeling using EEG, ECoG & fMRI
Location: USA
Blog: https://alab.ucsf.edu/amorim-lab
Rajanikant Panda, PhD's Projects
Whole brain functional connectivity
Coffee break script to optimize FDG-PET analyses in disorders of consciousness
The MATLAB toolbox for MEG, EEG and iEEG analysis
to compute effect size from 3D fMRI z-maps (.nii files)
Structural-Functional Coupling
Retrieving high-order information multiplets from data using the O-information
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.
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/
Metastability, Spatiotemporal State analysis using NNTF SF Coupling
Sensor and source-space MVPA analysis scripts for MEG data processed with Fieldtrip.
A Python package for construction and analysis of ordinal partition networks from time-series data.
Light package for connectivity estimation and analysis of neuroimaging data (e.g. fMRI). It relies on the multivariate Ornstein-Uhlenbeck process (MOU).
resting_state_fMRI_preprocessing steps and codes
To compute Brain DFC, Integration, Segregations, Metastability, Ignition
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.
Main TVB codebase
Voxel_Based_Morphometry_Analysis