Master Thesis defense – Marc Golub

Title:  Deep learning of dynamic functional connectivity states during sleep and epilepsy using simultaneous EEG-fMRI

Jury:
President:  Professor Maria Margarida Campos da Silveira
Supervisor: Professor Rita Homem de Gouveia Costanzo Nunes
External Member:  Professor João Miguel Raposo Sanches

Date: 29 november 2018
Hour: 10h
Location: Q5.1, Piso 5 da Torre Sul

Master Thesis defense – Joana Pernadas Carmona

Title:  Deep learning of dynamic functional connectivity states during sleep and epilepsy using simultaneous EEG-fMRI

Jury:
President: Professor Maria do Rosário De Oliveira Silva
Supervisor:  Professor Patrícia Margarida Piedade Figueiredo
External Member:  Professor Jorge Dos Santos Salvador Marques

Date: 21 november 2018
Hour: 14h30
Location:  Anfiteatro PA2, Piso -1 Pav. de Matemática

Master Thesis defense – Joana Filipa Canelas Moreira

Title:  Investigation of physiologic fluctuations in resting-state fMRI as biomarkers of cerebral small vessel disease

Jury:
President: Professor Maria Margarida Campos da Silveira
Supervisor: Professor Patrícia Margarida Piedade Figueiredo
External Member:  Professor Alexandre da Rocha Freire de Andrade

Date: 21 november 2018
Hour: 11h
Location: P3, Piso 1 do Pav. de Matemática

Seminar by Prof. Mark Jenkinson

On November 13th, Prof. Mark Jenkinson, co-founder and principal developer of FSL, gave a seminar in Anfiteatro Abreu Faro, overviewing some of the advanced structural and functional imaging tools in FSL.

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Abstract:
The FSL software is one of the most widely used neuroimaging analysis tools worldwide, and covers a range of functionality for structural, functional and diffusion image analysis for healthy and pathological subjects. This talk will provide an overview of some of the tools for quantifying structural atrophy and the segmentation of focal white matter pathologies (FSL-VBM, SIENA and BIANCA). In addition, the talk will also cover some of the artifact reduction methods available for functional data – in particular physiological noise modelling (PNM) and ICA-based artifact detection and removal. Some knowledge of neuroimaging and basic analysis methods will be assumed, but no prior knowledge of FSL is required.
Bio:
Prof. Mark Jenkinson was born in Adelaide, Australia where he obtained first class Honours degrees in Electrical and Electronic Engineering, as well as Mathematical Physics.  His doctoral work was done in the University of Oxford in the area of Computer Vision, supervised by Prof. Sir Michael Brady.  After this he moved into medical imaging and joined the FMRIB centre where his research has concentrated on structural MRI analysis, multimodal analysis and population modelling, especially for clinical research. Prof. Jenkinson is also co-founder and principal developer of the FSL software package, used in over 1000 laboratories worldwide.  He is the co-editor of a series of introductory textbooks (Oxford Neuroimaging Primers) and is currently Head of the Structural Image Analysis Group at the Wellcome trust centre for Integrative Neuroimaging (formerly FMRIB).

 

Master Thesis defense – Ana Rita Veiga de Oliveira

Title: Identification of brain connectivity disruptions due to thalamic lesions in early development using Diffusion Weighted MRI

Jury:
President: Professor Maria do Rosário de Oliveira Silva
Supervisor:   Professor Rita Homem de Gouveia Costanzo Nunes
External Member:  Doctor Rafael Neto Henriques

Date: 21 november 2018
Hour: 14h30
Location:  Anfiteatro PA2, Piso -1 Pav. de Matemática

Article in Scientific Reports

Scientific reports published a paper by LaSEEB researchers (Prof. João Sanches) explaining a novel methodology that allows the reduction of challenges faced because of cell variability. By designing a geometric compensation algorithm to cope with cell-to-cell difference the team managed to generate expression maps at an accurate level. This proposed method could be explored in research or diagnostic to identify patterns associated with diseases.