Large Small Brain Nets (2019-2021)
Large Small Brain Nets is a bi-lateral project focused on "Characterizing Large and Small-scale Brain Networks in Typical and Atypical Populations Using Novel Computational Methods for dMRI and fMRI-based Connectivity and Microstructure"
Please find more detailed information in this project's grant Large Small Brain Nets
The major goal of this project is to develop and validate sophisticated computational tools for identifying functional nodes at the whole-brain level and measuring structural and functional connectivity between them, as well as their relationship with tissue microstructure. For this, we will be using state-of-the-art human brain MR imaging techniques and open-source datasets such as Human Connectome Project data. Our proposed methods will reveal in unprecedented detail the structural and functional connectivity of the human brain. Furthermore, our innovative computational approach to brain connectomics will help create the building blocks for shaping the next generation of research on brain function and psychopathology.
- Quantitative modeling links in vivo microstructural and macrofunctional organization of human and macaque insular cortex, and predicts cognitive control abilities
Vinod Menon, Gallardo Guillermo, Mark A. Pinsk, Van-Dang Nguyen, Jing-Rebecca Li, Weidong Cai, Demian Wassermann bioRxiv 662601; doi: https://doi.org/10.1101/662601
- A Novel Sulcal Hierarchy Based on Manually Labelled Sulci, Antonia Machlouzarides-Shalit, Valentin Iovene, Nikos Makris, Demian Wassermann, OHBM 2019
- Behaviorally-relevant cytoarchitectonic insular traits: bridging dMRI microstructure and cognition, Wassermann, Cai, Gallardo, Menon
- Structural connectivity defines the function of VWFA: Beyond just word reading, Chen, Wassermann, Abrams, Gallardo-Diez, Kochalka, Menon, OHBM 2019
- Chen, T., Cai, W., Ryali, S., Supekar, K., Menon, V. (2016). Distinct global brain dynamics and spatiotemporal organization of the salience network. PLOS Biology.
- Fick RHJ, Wassermann D, Caruyer E, Deriche R (2016) MAPL: Tissue microstructure estimation using Laplacian-regularized MAP-MRI and its application to HCP data. 134:365–385
- Gallardo G, Fick R, Wells W W III, Deriche R, Wassermann D (2016) Groupwise Structural Parcellation of the Cortex: A Sound Approach Based on Logistic Models. Computational Diffusion MRI. Athens, Greece.
- Gallardo G, Fick R, III WW, Deriche R, Wassermann D (2016) Efficient Population-Representative Whole-Cortex Parcellation Based on Tractography, Human Brain Mapping, Geneva, Switzerland.