Development of new tools for the study of human brain connectomics

Project Type: Regular FONDECYT #1161427
Position: Head Researcher
Award Year: 2016. Ending Year: 2019.

Description

This project aims to continue with the development and optimization of tools for the study and analysis of the brain connectomics, using data mainly from Diffusion Magnetic Resonance Imaging (dMRI), focused on the study of the Human Connectome.

The study of the Human Connectome has awakened a great interested in the scientific community for some years, and has promoted large initiatives like the Human Connectome Project (http://www.humanconnectomeproject.org/) or the Human Brain Project (https://www.humanbrainproject.eu/).

Its main objective is to know in more detail the structure and operation of the brain and be able to construct a diagram of the brain regions and their connections. In this analysis a large quantity of modalities, and they involve the study of anatomical, functional, and clinical data, among others.

In the case of this project, the studies are based in the study of the connectivity, based mainly on High Angular Resolution Diffusion Imaging (HARDI) images.

The main objective is to provide the community with new tools that allow the construction of connectomes, more representative of the underlying anatomical connectivity.

The developments aim to:

  • Improve the analysis of the reproducibility of short association fascicles of the brain.

  • Continue the development of the optimized brain tracts visualization and manipulation tool.

  • Develop a new fiber clustering algorithm based on the form.

  • Evaluate the feasibility of creating a cortical parcellation starting from brain fibers fascicles.

Undergraduate Theses related to the project

Student Thesis Defense Date
Felipe Silva V. Biomedical Engineering Thesis: “Cortical parcellation method based on a graph representation of brain connections” April 1st, 2019.
Daniela Pinto D. Biomedical Engineering Thesis: “Segmentation of short brain fibers based on their form starting from difussion magnetic resonance imaging.” August 30th, 2018.
Ignacio Espinoza C. Biomedical Engineering Thesis: “Virtual reality software for the exploration of the brain in 3D.” August 29th, 2018.
Claudio Huaiqueo T. Biomedical Engineering Thesis: “Parcellation of the brain cortex starting from fiber fascicles.” April 5th, 2018.
Diego Carrasco V. Electronic Engineering Thesis: “Brain fibers visualization and manipulation software” December 30th, 2016.
Edgardo Cabrera F. Electronic Engineering Thesis: “Brain fibers clustering using distance measure based on the form” August 22nd, 2016.

Postgraduate Theses related to the project

Student Thesis Defense Date
Claudio Román G. Master in Engineering Sciences w/m in Electrical Engineering. “Segmentation of short brain fibers based on hierarchical Clustering based on HARDI database” January 26th, 2017.
Miguel Guevara O. Master in Engineering Sciences w/m in Electrical Engineering.
“Parcellation of the brain cortex based on fiber atlas calculated from tractography”
January 30th, 2016.

Publications

2302, 2017

Short Association Bundle Atlas for Lateralization Studies from dMRI Data

C. Román, M. Guevara, P. Salas, D. Duclap, J. Houenou, C. Poupon, J. F. Mangin, P. Guevara. Short Association Bundle Atlas for Lateralization Studies from dMRI Data. 19th International Conference on Bio Imaging and Signal Processing (ICBISP), Rio de Janeiro, Brasil, 2017. Temporary link: https://waset.org/abstracts/biomedical-and-biological-engineering/63557

1608, 2016

Short association bundle atlas based on inter-subject clustering from HARDI data

C. Román, M. Guevara, D. Duclap, A. Lebois, C. Poupon, J-F. Mangin and P. Guevara. Short association bundle atlas based on inter-subject clustering from HARDI data. Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida, USA, 2016, pp. 5545-5549, 7591983. DOI: https://doi.org/10.1109/embc.2016.7591983

1608, 2016

Creation of a whole brain short association bundle atlas using a hybrid approach

M. Guevara, C. Román, J. Houenou, D. Duclap, C. Poupon, J-F. Mangin and P. Guevara. Creation of a whole brain short association bundle atlas using a hybrid approach. Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida, USA, 2016, pp. 1115-1119, 7590899. DOI: https://doi.org/10.1109/EMBC.2016.7590899

2606, 2016

An interactive software for the visualisation and extraction of tractography datasets

I. Osorio, D. Bonometti, C. Poupon, J-F. Mangin and P. Guevara. An interactive software for the visualisation and extraction of tractography datasets. 22th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Ginebra, Suiza, 2016. Temporary link: https://ww5.aievolution.com/hbm1601/index.cfm?do=abs.viewAbs&abs=1412

2021-03-06T18:04:34-03:00

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