Journal article
Variance decomposition for single-subject task-based fMRI activity estimates across many sessions
- Abstract:
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Here we report an exploratory within-subject variance decomposition analysis conducted on a task-based fMRI dataset with an unusually large number of repeated measures (i.e., 500 trials in each of three different subjects) distributed across 100 functional scans and 9 to 10 different sessions. Within-subject variance was segregated into four primary components: variance across-sessions, variance across-runs within a session, variance across-blocks within a run, and residual measurement/modeli...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 3.2MB)
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- Publisher copy:
- 10.1016/j.neuroimage.2016.10.024
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Authors
Funding
National Institute of Neurological Disorders and Stroke
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Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- NeuroImage Journal website
- Volume:
- 154
- Pages:
- 206-218
- Publication date:
- 2016-10-20
- Acceptance date:
- 2016-10-14
- DOI:
- EISSN:
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1095-9572
- ISSN:
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1053-8119
- Pmid:
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27773827
- Source identifiers:
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908844
Item Description
- Language:
- English
- Keywords:
- Pubs id:
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pubs:908844
- UUID:
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uuid:148ecce6-1db3-4762-a2c5-4509f7fa8f81
- Local pid:
- pubs:908844
- Deposit date:
- 2018-11-01
Terms of use
- Copyright date:
- 2016
- Notes:
- Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
- Licence:
- CC Attribution (CC BY)
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