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Table of correlations of the whole-brain FC maps for each I..:

Uriel K. A. Elvira (14307687) ; Sara Seoane (12236381) ; Joost Janssen (2240227).
https://figshare.com/articles/dataset/Table_of_correlations_of_the_whole-brain_FC_maps_for_each_IC_with_known_resting-state_networks_/21787698. , 2022

Link: https://doi.org/10.1371/journal.pone.0278962.t003

RT Journal
T1 <Title>Table of correlations of the whole-brain FC maps for each IC with known resting-state networks</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21787698&Exemplar=1&LAN=DE
				
A1 Uriel K. A. Elvira (14307687)
A1 Sara Seoane (12236381)
A1 Joost Janssen (2240227)
A1 Niels Janssen (175188)
YR 2022
K1 Cell Biology
K1 Biotechnology
K1 Science Policy
K1 Mental Health
K1 Biological Sciences not elsewhere classified
K1 resolution fmri dataset
K1 potential clinical relevance
K1 driven analysis techniques
K1 default mode networks
K1 implicates specific configurations
K1 state networks depended
K1 state networks using
K1 nine amygdaloid nuclei
K1 complex internal structure
K1 human amygdala nuclei
K1 state networks
K1 internal structure
K1 amygdaloid nuclei
K1 using data
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K1 amygdaloid connectivity
K1 xlink ">
K1 ventral attention
K1 traditional large
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K1 results highlight
K1 rated fear
K1 psychiatric disease
K1 methodological limitations
K1 high spatial
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K1 brain region
JF https://figshare.com/articles/dataset/Table_of_correlations_of_the_whole-brain_FC_maps_for_each_IC_with_known_resting-state_networks_/21787698
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0278962.t003
DO https://doi.org/10.1371/journal.pone.0278962.t003
SF ELIB - SuUB Bremen

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