MorphoConnect

This is a MATLAB Toolbox for studying the Brain Networks of anatomical/functional covariance based on different Neuroimaging Techniques. This type of networks has been widely used to study connectivity patterns in both normal and pathological brains based on the concurrent changes of morphometric/functional/microstructure-tissue measures (i.e. cortical thickness, myelin) between brain structures across subjects (Evans, 2013, Melie-Garcia et. al. 2018).

Please cite:

Melie-Garcia, L., Sanabria-Diaz, G., Iturria-Medina, Y., Alemán-Gómez, Y., 2010. MorphoConnect: toolbox for studying structural brain networks using morphometric descriptors. In: 16th Annual Meeting of the Organization for Human Brain Mapping (Barcelona, Spain).

Some references using MorphoConnect:

• Lester Melie-Garcia, David Slater, Anne Ruef, Gretel Sanabria-Diaz, Martin Preisig, Ferath Kherif, Bogdan Draganski, Antoine Lutti, (2018) Networks of myelin covariance. Human Brain Mapping 39(4): 1532–1554.
• Andreotti, J., Dierks, T., Wahlund, L. O., & Grieder, M. (2017). Diverging progression of network disruption and atrophy in Alzheimer’s disease and semantic dementia. Journal of Alzheimer's disease, 55(3), 981-993.
• Sanabria-Diaz, G., Martínez-Montes, E., & Melie-Garcia, L. (2013). Glucose metabolism during resting state reveals abnormal brain networks organization in the Alzheimer’s disease and mild cognitive impairment. PloS one, 8(7), e68860.

Installation

1. Open MATLAB and add to the path the toolbox folder with subfolders dependencies.
2. Run MorphoConnect.m main function.

Toolbox Dependencies

1. Brain Connectivity Toolbox (BCT) (https://sites.google.com/site/bctnet/): Functions of this toolbox and our modifications to some of them are located in the subfolder /root/MorphoConnect/Network_Properties.

2. SurfStat (http://www.math.mcgill.ca/keith/surfstat/): A MATLAB toolbox for the statistical analysis of univariate and multivariate surface and volumetric data using linear mixed effects models and random field theory.