Journal article
Spatial vs. temporal features in ICA of resting-state fMRI - A quantitative and qualitative investigation in the context of response inhibition
- Abstract:
- Independent component analysis (ICA) can identify covarying functional networks in the resting brain. Despite its relatively widespread use, the potential of the temporal information (unlike spatial information) obtained by ICA from resting state fMRI (RS-fMRI) data is not always fully utilized. In this study, we systematically investigated which features in ICA of resting-state fMRI relate to behaviour, with stop signal reaction time (SSRT) in a stop-signal task taken as a test case. We did this by correlating SSRT with the following three kinds of measure obtained from RS-fMRI data: (1) the amplitude of each resting state network (RSN) (evaluated by the standard deviation of the RSN timeseries), (2) the temporal correlation between every pair of RSN timeseries, and (3) the spatial map of each RSN. For multiple networks, we found significant correlations not only between SSRT and spatial maps, but also between SSRT and network activity amplitude. Most of these correlations are of functional interpretability. The temporal correlations between RSN pairs were of functional significance, but these correlations did not appear to be very sensitive to finding SSRT correlations. In addition, we also investigated the effects of the decomposition dimension, spatial smoothing and Z-transformation of the spatial maps, as well as the techniques for evaluating the temporal correlation between RSN timeseries. Overall, the temporal information acquired by ICA enabled us to investigate brain function from a complementary perspective to the information provided by spatial maps.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 4.3MB, Terms of use)
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- Publisher copy:
- 10.1371/journal.pone.0066572
Authors
- Publisher:
- Public Library of Science
- Journal:
- PloS ONE More from this journal
- Volume:
- 8
- Issue:
- 6
- Pages:
- ARTN e66572
- Publication date:
- 2013-06-18
- Acceptance date:
- 2013-05-08
- DOI:
- EISSN:
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1932-6203
- ISSN:
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1932-6203
- Language:
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English
- Keywords:
- Pubs id:
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409904
- UUID:
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uuid:01c06e09-1303-406a-bc87-590bd84fa088
- Local pid:
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pubs:409904
- Source identifiers:
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409904
- Deposit date:
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2013-11-16
- ARK identifier:
Terms of use
- Copyright holder:
- Tian et al
- Copyright date:
- 2013
- Notes:
- Copyright: © 2013 Tian et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
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