Faculty Opinions recommendation of The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke.

2020 ◽  
Author(s):  
Saikat Chakrabarti
Keyword(s):  
Big Data ◽  
Working Group ◽  
Stroke Recovery ◽  
Brain Behavior

scholarly journals The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke

2020 ◽  
Author(s):  
Sook‐Lei Liew ◽  
Artemis Zavaliangos‐Petropulu ◽  
Neda Jahanshad ◽  
Catherine E. Lang ◽  
Kathryn S. Hayward ◽  
...  
Keyword(s):  
Big Data ◽  
Working Group ◽  
Stroke Recovery ◽  
Brain Behavior

scholarly journals The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke

2020 ◽  
Author(s):  
Sook-Lei Liew ◽  
Artemis Zavaliangos-Petropulu ◽  
Neda Jahanshad ◽  
Catherine E. Lang ◽  
Kathryn S. Hayward ◽  
...  
Keyword(s):  
Big Data ◽  
Working Group ◽  
Large Scale ◽  
Meta Analysis ◽  
Brain Magnetic Resonance Imaging ◽  
Stroke Recovery ◽  
Data Harmonization ◽  
Stroke Research ◽  
Brain And Behavior ◽  
Data Collaboration

The goal of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well-powered meta- and mega-analytic approaches. ENIGMA Stroke Recovery has data from over 1,800 stroke patients collected across 32 research sites and 10 countries around the world, comprising the largest multi-site retrospective stroke data collaboration to date. This paper outlines the efforts taken by the ENIGMA Stroke Recovery working group to develop neuroinformatics protocols and methods to manage multi-site stroke brain magnetic resonance imaging (MRI), behavioral and demographics data. Specifically, the processes for scalable data intake and pre-processing, multi-site data harmonization, and large-scale stroke lesion analysis are described, and challenges unique to this type of big data collaboration in stroke research are discussed. Finally, future directions and limitations, as well as recommendations for improved data harmonization through prospective data collection and data management, are provided.

scholarly journals Enhancing the alignment of the preclinical and clinical stroke recovery research pipeline: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable translational working group

2017 ◽  
Vol 12 (5) ◽  
pp. 462-471 ◽  
Author(s):  
Dale Corbett ◽  
S Thomas Carmichael ◽  
Timothy H Murphy ◽  
Theresa A Jones ◽  
Martin E Schwab ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Acute Stroke ◽  
Clinical Studies ◽  
Working Group ◽  
Stroke Recovery

Stroke recovery research involves distinct biological and clinical targets compared to the study of acute stroke. Guidelines are proposed for the pre-clinical modeling of stroke recovery and for the alignment of pre-clinical studies to clinical trials in stroke recovery.

Supernovæ

2017 ◽  
Vol 14 (S339) ◽  
pp. 245-250
Author(s):  
M. Stritzinger ◽  
T. J. Moriya
Keyword(s):  
Big Data ◽  
Working Group ◽  
Round Table ◽  
Round Table Discussion ◽  
Table Discussion ◽  
The Future ◽  
Current Criterion ◽  
To Receive

AbstractThis Workshop covered a cornucopia of topics that were featured in short formal presentations, followed by a round-table discussion. G. Hosseinzadeh and H. Kuncarayakti presented the results of their recent researches into interacting supernovæ. They included both the intriguing Type Ibn supernova subclass, and SN 2017dio, which appears to be the first Type Ic supernova to be seen to exhibit signatures of hydrogen-rich circumstellar interaction at all phases. M. Sullivan provided a summary relating to the future of transient science in the era of Big Data, and participants discussed strategies to determine which targets and fields should be selected for spectroscopic follow-up. The Workshop concluded with a rather heated discussion regarding the need for the IAU Supernovæ Working Group to consider modifying the current criterion for a confirmed supernova in order for it to receive an official IAU designation.

Plasticity of the neural coding metaphor: An unnoticed rhetoric in scientific discourse

2019 ◽  
Vol 42 ◽  
Author(s):  
Giulia Frezza ◽  
Pierluigi Zoccolotti
Keyword(s):  
Discourse Analysis ◽  
Neural Coding ◽  
Scientific Discourse ◽  
Convincing Argument ◽  
Unified View ◽  
Brain Behavior

Abstract The convincing argument that Brette makes for the neural coding metaphor as imposing one view of brain behavior can be further explained through discourse analysis. Instead of a unified view, we argue, the coding metaphor's plasticity, versatility, and robustness throughout time explain its success and conventionalization to the point that its rhetoric became overlooked.

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