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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2020
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2020
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2020
Data sources: ZENODO
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Dataset: 'Functional brain dynamics are shaped by connectome n-simplicial organization'

Authors: Mullier, Emeline; Griffa, Alessandra; Alemán-Gómez, Yasser; Hagmann, Patric;

Dataset: 'Functional brain dynamics are shaped by connectome n-simplicial organization'

Abstract

Dataset related to the manuscript 'Functional brain dynamics are shaped by connectome n-simplicial organization'. - E. Mullier, J. Vohryzek, A. Griffa, Y. Alemán-Gómez, C. Hacker, K. Hess, P. Hagmann. ____________________________________ We provide the resting-state functional MRI time series of 120 healthy subjects. The detailed steps about acquisition and preprocessing are available in the methods section of the corresponding manuscript. => File: concat_ts_120subs.txt We also provide a binary structural connectome based on 88 healthy subjects. A connection was kept in the binary structural connectome if the connection was represented in at least 50% of the subjects. => File: recSC_88CTRL_th0.5_scale4_cortical.txt The brain was parcellated using the cortical regions of Lausanne 2008 parcellation scale 4 (Cammoun2012). The labels of the regions is available in this dataset. => File: LABELS_cortical_scale250.txt Finally, we completed the dataset with a python script to open the data. => File: Script_ReadData.py

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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