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Research article summary:
Combining brains: a survey of methods for statistical pooling of information.
Abstract Extract: More than one subject is scanned in a typical functional brain imaging experiment. How can the scientist make best use of the acquired data to map the specific areas of the brain that become active during the performance of different tasks? It is clear ... (Full abstract text below) Published 2002Jun
in Journal: Neuroimage
(Language : eng)
Full Pubmed Extract
This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:
1. Neuroimage.
2002 Jun;16(2):538-50
Combining brains: a survey of methods for statistical pooling of information.
Lazar NA, Luna B, Sweeney JA, Eddy WF
Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.
More than one subject is scanned in a typical functional brain imaging experiment. How can the scientist make best use of the acquired data to map the specific areas of the brain that become active during the performance of different tasks? It is clear that we can gain both scientific and statistical power by pooling the images from multiple subjects; furthermore, for the comparison of groups of subjects (clinical patients vs healthy controls, children of different ages, left-handed people vs right-handed people, as just some examples), it is essential to have a "group map" to represent each population and to form the basis of a statistical test. While the importance of combining images for these purposes has been recognized, there has not been an organized attempt on the part of neuroscientists to understand the different statistical approaches to this problem, which have various strengths and weaknesses. In this paper we review some popular methods for combining information, and demonstrate the surveyed techniques on a sample data set. Given a combination of brain images, the researcher needs to interpret the result and decide on areas of activation; the question of thresholding is critical here and is also explored.
PMID : 12030836 [PubMed - Indexed for MEDLINE]
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Full Author Information
| First Name | LastName | Initials |
| Nicole A | Lazar | NA |
| Beatriz | Luna | B |
| John A | Sweeney | JA |
| William F | Eddy | WF |
Affiliation: Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.
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MESH categories and related page links
This article was linked to the MESH categories shown on the left below. The links on the right are related Memletics pages.
Category links from this article:- Adult
- Autistic Disorder - physiopathology, psychology
- Brain - physiology
- Data Collection
- Diagnostic Imaging
- Female
- Humans
- Magnetic Resonance Imaging
- Male
- Memory
- Meta-Analysis as Topic
- Saccades
- Statistics as Topic - methods
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