| Event-related fMRI in cognition. | |
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MedLine Citation:
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PMID: 21963919 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A primary advantage of functional magnetic resonance imaging (fMRI) over other techniques in neuroscience is its flexibility. Researchers have used fMRI to study a remarkable diversity of topics, from basic processes of perception and memory, to the complex mechanisms of economic decision making and moral cognition. The chief contributor to this experimental flexibility-indeed, to the growth of fMRI itself-has been the development of event-related experimental designs and associated analyses. The core idea of an event-related design, as first articulated in the late 1990s, is the separation of cognitive processes into discrete points in time (i.e., "events") allowing differentiation of their associated fMRI signals. By modeling brain function as a series of transient changes, rather than as an ongoing state, event-related fMRI allowed researchers to create much more complex paradigms and more dynamic analysis methods. Yet, this flexibility came with a cost. As the complexity of experimental designs increased, fMRI analyses became increasingly abstracted from the original data, which in turn has had consequences both positive (e.g., greater use of model-based fMRI) and negative (e.g., fewer articles plot the timing of activation). And, as event-related methods have become ubiquitous, they no longer represent a distinct category of fMRI research. In a real sense, event-related fMRI has now become, simply, fMRI. |
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Authors:
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Scott A Huettel |
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Publication Detail:
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Type: Historical Article; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Review Date: 2011-09-22 |
Journal Detail:
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Title: NeuroImage Volume: 62 ISSN: 1095-9572 ISO Abbreviation: Neuroimage Publication Date: 2012 Aug |
Date Detail:
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Created Date: 2012-07-03 Completed Date: 2012-11-19 Revised Date: 2013-04-16 |
Medline Journal Info:
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Nlm Unique ID: 9215515 Medline TA: Neuroimage Country: United States |
Other Details:
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Languages: eng Pagination: 1152-6 Citation Subset: IM |
Copyright Information:
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Copyright © 2011 Elsevier Inc. All rights reserved. |
Affiliation:
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Brain Imaging and Analysis Center, Duke University, Durham, NC 27710, USA. scott.huettel@duke.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Brain Mapping*
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history,
methods Cognition / physiology* Evoked Potentials / physiology History, 20th Century History, 21st Century Humans Magnetic Resonance Imaging* / history, methods |
| Grant Support | |
ID/Acronym/Agency:
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NIMH RC1-88680/RC/CCR NIH HHS; NINDS P01-41328//PHS HHS; P01 NS041328-10/NS/NINDS NIH HHS |
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