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A step-wise criterion to determine target control centrality in the aging brain network

Giulia Bassignana 1, 2, 3, 4, 5 Olivier Colliot 4, 5 Fabrizio de Vico Fallani 4, 5
1 CNRS - Centre National de la Recherche Scientifique
2 SU FM - Sorbonne Université - Faculté de Médecine
3 INSERM - Institut National de la Santé et de la Recherche Médicale
4 ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute
5 ARAMIS - Algorithms, models and methods for images and signals of the human brain
SU - Sorbonne Université, Inria de Paris, ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute
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Conference papers
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https://hal.inria.fr/hal-03022301
Contributor : Giulia Bassignana Connect in order to contact the contributor
Submitted on : Tuesday, November 24, 2020 - 5:15:05 PM
Last modification on : Tuesday, January 11, 2022 - 11:16:07 AM
Long-term archiving on: : Thursday, February 25, 2021 - 8:54:58 PM

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  • HAL Id : hal-03022301, version 1

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INSMI | ICM | SORBONNE-UNIVERSITE | SU-MEDECINE | CNRS | INRIA | INSERM | SU-TI

Citation

Giulia Bassignana, Olivier Colliot, Fabrizio de Vico Fallani. A step-wise criterion to determine target control centrality in the aging brain network. NetSci 2020 - International School and Conference on Network Science, Sep 2020, Rome / Virtual, Italy. ⟨hal-03022301⟩

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