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Dissociated brain functional connectivity of fast versus slow frequencies underlying individual differences in fluid intelligence: a DTI and MEG study

Abstract:

Brain network analysis represents a powerful technique to gain insights into the connectivity profile characterizing individuals with different levels of fluid intelligence (Gf). Several studies have used diffusion tensor imaging (DTI) and slow-oscillatory resting-state fMRI (rs-fMRI) to examine the anatomical and functional aspects of human brain networks that support intelligence. In this study, we expand this line of research by investigating fast-oscillatory functional networks. We perfor...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41598-022-08521-5

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Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
ORCID:
0000-0002-3908-6898
Publisher:
Springer Nature
Journal:
Scientific Reports More from this journal
Volume:
12
Article number:
4746
Publication date:
2022-03-18
Acceptance date:
2022-03-09
DOI:
EISSN:
2045-2322
Pmid:
35304521
Language:
English
Keywords:
Pubs id:
1249325
Local pid:
pubs:1249325
Deposit date:
2022-11-18

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