Detecting activations in event-related fMRI using analysis of variance
The most common design of a functional MRI (fMRI) experiment is a block design. The use of rapid imaging, however, and carefully designed paradigms makes the separation of cognitive events possible. Such experiments make use of event‐related paradigms, in which a task involving several cognitive pro...
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| Veröffentlicht in: | Magnetic resonance in medicine 1999-12, Vol.42 (6), p.1117-1122 |
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| creator | Clare, Stuart Humberstone, Miles Hykin, Jonathan D. Blumhardt, Lance Bowtell, Richard Morris, Peter |
| description | The most common design of a functional MRI (fMRI) experiment is a block design. The use of rapid imaging, however, and carefully designed paradigms makes the separation of cognitive events possible. Such experiments make use of event‐related paradigms, in which a task involving several cognitive processes is repeated. In analyzing data from such experiments, existing methods often prove inadequate, because the prediction of the exact shape or timing of the time course is difficult. Here we present an analysis of variance (ANOVA) method for analyzing fMRI data that does not require any assumptions about the shape of the activation time course. Consequently, this method can simultaneously detect brain areas showing a variety of stimulus‐locked time courses in the same experiment. The utility of this technique is demonstrated by the analysis of data from two event‐related paradigms in which regions of activation are detected that correspond to a variety of distinct neural processes, yielding significantly different temporal signal changes. Magn Reson Med 42:1117–1122, 1999. © 1999 Wiley‐Liss, Inc. |
| doi_str_mv | 10.1002/(SICI)1522-2594(199912)42:6<1117::AID-MRM16>3.0.CO;2-J |
| format | Article |
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Blumhardt, Lance</creatorcontrib><creatorcontrib>Bowtell, Richard</creatorcontrib><creatorcontrib>Morris, Peter</creatorcontrib><title>Detecting activations in event-related fMRI using analysis of variance</title><title>Magnetic resonance in medicine</title><addtitle>Magn. Reson. Med</addtitle><description>The most common design of a functional MRI (fMRI) experiment is a block design. The use of rapid imaging, however, and carefully designed paradigms makes the separation of cognitive events possible. Such experiments make use of event‐related paradigms, in which a task involving several cognitive processes is repeated. In analyzing data from such experiments, existing methods often prove inadequate, because the prediction of the exact shape or timing of the time course is difficult. Here we present an analysis of variance (ANOVA) method for analyzing fMRI data that does not require any assumptions about the shape of the activation time course. Consequently, this method can simultaneously detect brain areas showing a variety of stimulus‐locked time courses in the same experiment. The utility of this technique is demonstrated by the analysis of data from two event‐related paradigms in which regions of activation are detected that correspond to a variety of distinct neural processes, yielding significantly different temporal signal changes. 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In analyzing data from such experiments, existing methods often prove inadequate, because the prediction of the exact shape or timing of the time course is difficult. Here we present an analysis of variance (ANOVA) method for analyzing fMRI data that does not require any assumptions about the shape of the activation time course. Consequently, this method can simultaneously detect brain areas showing a variety of stimulus‐locked time courses in the same experiment. The utility of this technique is demonstrated by the analysis of data from two event‐related paradigms in which regions of activation are detected that correspond to a variety of distinct neural processes, yielding significantly different temporal signal changes. 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| subjects | Analysis of Variance ANOVA Biological and medical sciences Brain - anatomy & histology Brain - physiology data analysis event-related fMRI Humans Investigative techniques, diagnostic techniques (general aspects) Magnetic Resonance Imaging - methods Medical sciences Memory, Short-Term - physiology Motor Cortex - anatomy & histology Motor Cortex - physiology Motor Skills - physiology Nervous system Radiodiagnosis. Nmr imagery. Nmr spectrometry short-term memorym Signal Processing, Computer-Assisted Sternberg paradigm |
| title | Detecting activations in event-related fMRI using analysis of variance |
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