LABMAN Elections 2017 results!

Dear LABMAN Members,

As previously organized we have now the final results from the voting process for LABMAN Direction Board. The Board will be composed by the following colleagues:

PRESIDENT: Dr. Gonzalo Rojas (Clínica las Condes. Lo Fontecilla 441, Santiago, Chile) (18 positive votes)

SECRETARY: M.Sc. Jorge Iglesias Fuster (Centro de Neurociencias de Cuba) (21 positive votes)

TREASURER: Dr. Felipe Beijamini (Universidade Federal da Fronteira Sul, Brasil) (21 positive votes)

We thank to all members who participated in this process!


Call for LABMAN Elections 2017

Dear LABMAN Members,

As part of the normal process that renews the Direction Board for each period, we are officially launching the 2017 LABMAN Elections.

All members are kindly asked to vote using the following link:

As part of the voting process we have included a link with the CVs of some of the candidates.

We will be collecting the votes until November, 30th, 2017.

Best regards to all!

XIX Reunión de Neuroimagen, organizada por el CIMAT, Guanajuato, Gto. del 5 al 6 de Octubre del 2017


El Centro de Investigación en Matemáticas A.C. (CIMAT) y el Instituto de Neurobiología de la UNAM (campus Juriquilla, Qro.) tienen el gusto de invitarlo a la XIX Reunión de Neuroimagen que se llevará a cabo en el CIMAT, Guanajuato, Gto. del 5 al 6 de Octubre del 2017.

Para la XIX Reunión de Neuroimagen se aceptarán trabajos para presentación en el formato de ponencia y carteles, que serán incluidos en las memorias electrónicas del  evento.


Conferencistas Invitados:

Dr. Boris Bernhardt
Montreal Neurological Institute and Hospital

Dr. John Lewis
McGill University , Montréal, McConnell Brain Imaging Centre

“Beyond Fiber Orientations : Microstructure Informed Tractography”
Dr. Gabriel Girard
Signal Processing Lab, école Polytechnique Fédérale de Lausanne, Suiza
Abstract: Diffusion-weighted (DW) magnetic resonance imaging (MRI) can measure the orientation of the white matter structure of the brain, in vivo. From the voxel-wise tissue orientations, tractography algorithms can estimate white matter fascicles volume and position. Recent studies have shown that tractography algorithms can fail to recover some existing fascicles and in some cases, produce a large incidence of false positives, biasing the structural connectivity analysis. The false positive connections are largely due to complex tissue configurations of the white matter (e.g. crossing, kissing or merging). Moreover, the relationship between the tractography reconstruction and the underlying white matter microstructure characteristics remains poorly understood. Recently, tractography methods have been proposed to reduce the rate of false positives by taking full advantage of the development DW-MRI microstructure acquisition, modeling and reconstruction techniques. Those methods, called microstructure informed tractography, uses prior information on the microstructure properties of neuronal tissue to reduce ambiguities and separate fascicles in area of complex tissue configurations. Simultaneously, microstructure informed tractography allows the characterization of the white matter tissue microstructure along fascicles. Those emerging techniques are paving the way to quantitative brain structural connectivity analysis.



El Comité Organizador

Dr. Rolando Biscay, CIMAT
Dr. Jorge Bosch, INB-UNAM
Dr. Luis Concha, INB-UNAM
Dr. Ivan Cruz, CIMAT
Dr. Oscar Dalmau, CIMAT
Dr. Thalía Harmony, INB-UNAM
Dr. José Luis Marroquín, CIMAT
Dr. Alonso Ramírez, CIMAT