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Cited by 1,978

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets

Friston, K. J., Frith, C. D., Liddle, P. F., Frackowiak, R. S. J.·1993·Journal of Cerebral Blood Flow & Metabolism
DOI 10.1038/jcbfm.1993.4
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Abstract

The distributed brain systems associated with performance of a verbal fluency task were identified in a nondirected correlational analysis of neurophysiological data obtained with positron tomography. This analysis used a recursive principal-component analysis developed specifically for large data sets. This analysis is interpreted in terms of functional connectivity, defined as the temporal correlation of a neurophysiological index measured in different brain areas. The results suggest that the variance in neurophysiological measurements, introduced experimentally, was accounted for by two independent principal components. The first, and considerably larger, highlighted an intentional brain system seen in previous studies of verbal fluency. The second identified a distributed brain system including the anterior cingulate and Wernicke's area that reflected monotonic time effects. We propose that this system has an attentional bias.

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Metadata

Authors
Friston, K. J., Frith, C. D., Liddle, P. F., & Frackowiak, R. S. J.
Venue
Journal of Cerebral Blood Flow & Metabolism
Publisher
SAGE Publications
Published
1993-01
Volume
13
Issue
1
Pages
5-14
ISSN
  • 0271-678X (ISSN-L)
  • 1559-7016
DOI
10.1038/jcbfm.1993.4
OpenAlex
W2060899536
Cited by
1,978
References
5
FWCI
19.02
Type
journal article
Language
en
Open access
closed

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