Statistical analysis of activation images

Clicks: 1
ID: 303878
2001
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #1,065 of 1,518 articles by views in Oxford University Press eBooks

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,518 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Statistical analysis is concerned with making inference about underlying patterns in data that often contain a large amount of random error. This chapter begins by building up a model of the functional magnetic resonance imaging (fMRI) data, and discusses the haemodynamic response to the stimulus and then the random error. It deals with estimating the parameters of these models, assessing their variability and making decisions about whether the fMRI data shows any evidence of a blood oxygenation level dependent (BOLD) response to the stimulus. The chapter discusses in detail the methods for estimating both the signal and noise parameters, and also analyses the question of how to optimally design the experiment in order for the data to contain the maximum possible amount of extractable information.
Reference Key
openalex_W2503622982 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Keith J. Worsley
Journal Oxford University Press eBooks
Year 2001
DOI
10.1093/acprof:oso/9780192630711.003.0014
URL
https://doi.org/10.1093/acprof:oso/9780192630711.003.0014
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.