In spirit of open science, I am trying to make my research outputs openly available. But it takes time and efforts. I will put some of the data, codes, and statistical maps and matrices on this page.


MATLAB codes for intersubject correlation analysis of dynamic connectivity

MATLAB codes for intersubject correlation analysis of dynamic connectivity in movie watching data. code statistical maps

Reference: Di X, Biswal BB (2020): Intersubject consistent dynamic connectivity during natural vision revealed by functional MRI. Neuroimage. doi:10.1016/j.neuroimage.2020.116698

MATLAB codes for PPI and beta series analysis

MATLAB codes for psychophysiological interaction (PPI) analysis and beta series analysis in our task connectomics paper published in Cerebral Cortex. link

Reference: Di X, Biswal BB (2019). Toward Task Connectomics: Examining Whole-Brain Task Modulated Connectivity in Different Task Domains. Cereb Cortex 29(4):1572-1583.

MATLAB simulation codes for PPI correlations

The codes for simulation of the correlations of PPI (psychophysiological interaction) between two different ways of calculations, and the codes for calculating coefficient of variation using Bland and Altman’s method (Bland and Altman, 1996). link

Reference: Di X, Biswal BB (2017). Psychophysiological Interactions in a Visual Checkerboard Task: Reproducibility, Reliability, and the Effects of Deconvolution. Front Neurosci 11:573.

Network matrices

Coactivation network vs. resting-state network

This dataset includes a coactivation matrix of 140 regions of interest calculated from Neurosynth database and a correlation matrix of resting-state functional connectivity. link 

Reference: Di X, Gohel S, Kim EH and Biswal BB (2013). Task vs. Rest - Different Network Configurations between the Coactivation and the Resting-State Brain Networks. Front Hum Neurosci 7:493. 

Regions of interest

Symmetrical ROIs using spherical packing algorithm

This is a set of symmetrical regions of interest (ROIs) defined using spherical packing algorithm. These ROIs were used to calculated functional connectivity lateralization in our paper. link 

Reference:  Di X, Kim E, Chen P, Biswal BB (2014). Lateralized Resting-state Functional Connectivity in the Task-positive and Task-negative Networks. Brain Connect 4(9):641-648.

Spatial maps

ICA maps for FDG-PET images

These maps were used in our study on interregional causal influences in aginglink

Reference: Di X, Woelfer M, Amend M, Wehrl H, Ionescu TM, Pichler BJ, Biswal BB, and Alzheimer's Disease Neuroimaging Initiative (2019). Interregional causal influences of brain metabolic activity reveal the spread of aging effects during normal aging. Human Brain Mapping 40(16):4657-4668.

ICA maps for gray matter and white matter volume images

These maps were used in our study on sex differences of brain structural alterations in Autism Spectrum Disorder (ASD). link

Reference: Di X, Biswal BB (2016). Similarly expanded bilateral temporal lobe volumes in female and male children with autism spectrum disorder. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 1(2):178-185.

Six ICA maps of the default mode network (DMN) and task positive networks

These six ICA (independent component analysis) maps were used in our paper titled "Modulatory interactions between the default mode network and task positive networks in resting-state". link 

Reference: Di X, Biswal BB (2014). Modulatory Interactions between the Default Mode Network and Task Positive Networks in Resting-State. PeerJ 2:e367.

Nine major resting-state networks

These nine ICA maps were used in out paper titled "Dynamic brain functional connectivity modulated by resting-state networks". link

Reference: Di X, Biswal BB (2015). Dynamic Brain Functional Connectivity Modulated by Resting-State Networks. Brain Struct Funct 220(1):37-46.

I am also grateful for all the open-source software and open-access datasets that make my research possible.