Our member Professor Rita Nunes will give an informal talk entitled “Imagiologia por Ressonância Magnética: uma ferramenta para estudar o desenvolvimento cerebral” today at 20h30 in the O’Gilins Irish Pub.
More details: https://pintofsciencept.
Professor Fernando Lopes da Silva
Our distinguished member Professor Fernando Lopes da Silva passed away yesterday (May 7, 2019).
He was a mentor and a friend to many of us at LaSEEB and will be very much missed.
We will always think of his constructive criticism and wise advice, challenging us to do more and better.
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Here is the news piece in Público (in Portuguese):
https://www.publico.pt/2019/05/08/ciencia/noticia/morreu-neurocientista-fernando-lopes-silva-1871877
ISMRM Workshop on Accessible MRI for the World
Prof. Rita Nunes and Tiago Fernandes participated in the ISMRM Workshop on Accessible MRI for the World held at the India International Centre, New Delhi, India – 29th-31st March. The workshop aimed to identify and recognise the need for accessible MR; to outline and summarise anatomy-wise MR clinical needs of under-served populations & to Explain MR innovation processes through examples from the past and needs of the future.
It was a very successful participation with an invited talk on open-source software delivered by Prof. Nunes; the Laseeb researchers were part of the team that won the Hackathon challenge on “Emergency MRI for Stroke” and co-authors of the winner poster for best technical work presented by collaborator Seema S. Bhat (Dayananda Sagar Institutions): “An Assessment of Noise Distribution at Ultra-Low Magnetic Field Strength”.
LaSEEB – RTP 1
LaSEEB’s research was included in the last episode of RTP’s show Outras Histórias (Season 2, Episode 9).
Marco Miranda (MSc student) showed the work he has been developing in our laboratory. The episode included interviews with Marco Miranda and Prof. Agostinho Rosa , as well as a demonstration of electroencephalography (EEG) data acquisition.
The episode can be seen on https://www.rtp.pt/play/p5364/outras-historias (10m30s-20m15s).
Award – IEEE Portuguese Meeting in Bioengineering
LaSEEB’s member Ana Rita Oliveira won the award of best MSc Thesis Paper at the IEEE Portuguese Meeting in Bioengineering, with the work “Identification of brain connectivity disruptions due to thalamic lesions in early development using Diffusion-Weighted MRI”, supervised by Prof. Patrícia Figueiredo and Prof. Rita Nunes.
Congratulations Rita!
ASL MRI Workshop
Prof. Patrícia Figueiredo and Joana Pinto attended the University of Michigan International Workshop on Arterial Spin Labeling MRI: Technical Updates and Clinical Experience (Ann Arbor, Michigan, USA, 9-10 March 2019).
The workshop was intended for the community of users and developers of Arterial Spin Labeling (ASL) MRI techniques to share new findings, discuss developments & experience, with the intent of mapping out further technical recommendations for clinical translation.
More details: http://fmri.research.umich.edu/events/asl_workshop.php
New paper – Scientific Reports
A new paper was published in Scientific Reports:
Identification of epileptic brain states by dynamic functional connectivity analysis of simultaneous EEG-fMRI: a dictionary learning approach
Authors: Rodolfo Abreu, Alberto Leal, Patrícia Figueiredo
more details: https://www.nature.com/articles/s41598-018-36976-y
Open Laboratories 2019
In the scope of Bioengineering Department’s Open Laboratories 2019, LaSEEB received several high-school students and showed them some of our imaging projects.
LaSEEB Social Event
Congratulations to LaSEEB’s 2019 Bowling Champions: Tiago Fernandes, Marc Golub and Joana Sousa!
Presentation – Thomas Bolton (EPFL)
Last thursday (17th January 2019), Thomas Bolton from the Medical Image Processing Lab (MIP) of Ecole Polytechnique Fédérale de Lausanne (EPFL) visited our Lab and presented his work on:
Novel ways to probe brain function: beyond stationary functional connectivity measurements
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Abstract:
Functional magnetic resonance imaging (fMRI) enables to monitor changes in brain activation over time at the whole-brain level, when subjects are either at rest, or performing a specific cognitive task.
One prominent direction towards the interpretation of fMRI data has been the assessment of functional connectivity (FC), a pair-wise measure of statistical interdependence between time courses of regional activity. Here, I will outline how this already very rich characterization can be extended to capture additional features of brain function.
I will start by moving towards a dynamic functional connectome view, where functional interplays between brain areas are successively re-estimated along sub-spans of a scanning
One prominent direction towards the interpretation of fMRI data has been the assessment of functional connectivity (FC), a pair-wise measure of statistical interdependence between time courses of regional activity. Here, I will outline how this already very rich characterization can be extended to capture additional features of brain function.
I will start by moving towards a dynamic functional connectome view, where functional interplays between brain areas are successively re-estimated along sub-spans of a scanning
session to track fluctuating brain network relationships [1]. Then, I will discuss how FC can be computed as a synchronization measures across different subjects, and by this mean, enrich our understanding of functional responses to naturalistic stimulation paradigms [2]. Third, I will highlight how structural connectivity information, reflective of physical wiring in the brain, can be used in conjunction with functional data, and enhance their interpretability by addressing the extent of overlap between structure and function [3].
Finally, I will introduce a methodological framework that enables to shift focus from FC to effective connectivity, where causal (rather than correlational) relationships between brain regions can be unraveled [4].
Finally, I will introduce a methodological framework that enables to shift focus from FC to effective connectivity, where causal (rather than correlational) relationships between brain regions can be unraveled [4].
References:
[1] Preti, Maria Giulia*, Bolton, Thomas AW*, and Dimitri Van De Ville. “The dynamic functional connectome: state-of-the-art and perspectives.” Neuroimage 160 (2017): 41-54.
[2] Bolton, Thomas AW, et al. “Interactions between large-scale functional brain networks are captured by sparse coupled HMMs.” IEEE transactions on medical imaging 37.1 (2
[1] Preti, Maria Giulia*, Bolton, Thomas AW*, and Dimitri Van De Ville. “The dynamic functional connectome: state-of-the-art and perspectives.” Neuroimage 160 (2017): 41-54.
[2] Bolton, Thomas AW, et al. “Interactions between large-scale functional brain networks are captured by sparse coupled HMMs.” IEEE transactions on medical imaging 37.1 (2
018): 230-240.
[3] Bolton, Thomas AW, et al. “Brain dynamics in ASD during movie‐watching show idiosyncratic functional integration and segregation.” Human brain mapping 39.6 (2018): 2391-2404.
[4] Huang, Weiyu*, Bolton, Thomas AW*, et al. “A Graph Signal Processing Perspective on Functional Brain Imaging.” Proceedings of the IEEE (2018)
[3] Bolton, Thomas AW, et al. “Brain dynamics in ASD during movie‐watching show idiosyncratic functional integration and segregation.” Human brain mapping 39.6 (2018): 2391-2404.
[4] Huang, Weiyu*, Bolton, Thomas AW*, et al. “A Graph Signal Processing Perspective on Functional Brain Imaging.” Proceedings of the IEEE (2018)