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Alessandra Griffa

Researcher at École Polytechnique Fédérale de Lausanne

Publications -  106
Citations -  4923

Alessandra Griffa is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Connectome & Resting state fMRI. The author has an hindex of 27, co-authored 89 publications receiving 3807 citations. Previous affiliations of Alessandra Griffa include VU University Amsterdam & University of Geneva.

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Experimental investigation of collagen waviness and orientation in the arterial adventitia using confocal laser scanning microscopy.

TL;DR: Information on collagen fiber waviness and orientation could be used to develop structural models of the adventitia, providing better means for analyzing and understanding the mechanical properties of vascular wall.
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Resting-brain functional connectivity predicted by analytic measures of network communication

TL;DR: It is found that both search information and path transitivity predict the strength of functional connectivity among both connected and unconnected node pairs at levels that match or significantly exceed path length measures, Euclidean distance, as well as computational models of neural dynamics.
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Cooperative and Competitive Spreading Dynamics on the Human Connectome

TL;DR: This work uses a model of cascade spreading to reveal architectural features of human brain networks that facilitate spreading and shows that the organizational principles of brain networks shape global communication and facilitate integrative function.
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Structural connectomics in brain diseases.

TL;DR: This review critically review the technical solutions proposed in the literature to perform clinical studies on a selected subset of diseases, namely, dementia, schizophrenia, multiple sclerosis and others, and tries to extract for each disease the common findings and main differences between reports.
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The connectome mapper: an open-source processing pipeline to map connectomes with MRI.

TL;DR: The Connectome Mapper is presented, a software pipeline aimed at helping researchers through the tedious process of organising, processing and analysing diffusion MRI data to perform global brain connectivity analyses.