Home » Principles of fMRI 1 » Multi session subject experiments are useful because they Multi session subject experiments are useful because they Quiz 4 >>> Multi session subject experiments are useful because they >>> Principles of fMRI 1 1. Question 1 Multi session/subject experiments are useful because they: 1 / 1 point Allow for generalization of your conclusions to the whole population of subjects Allow you to determine whether the observed effects are common and stableacross, or between, groups All of these options Increase the sensitivity of the overall experiment —————————————————————————- 5. Question 5 In the nomenclature used in the lectures, the EM-algorithm is an example of 1 / 1 point a method none of these options a model an algorithm —————————————————————————- 3. Question 3 Which of the following statements describe a mixed-effects analysis? 1 / 1 point The subject-level effects are modeled as random variables. We are only interested in making conclusions about the subjects currently being studied. The only source of variation is due to measurement error. All of these options —————————————————————————- 4. Question 4 Why is it generally recommended to perform spatial smoothing prior to performing group analysis? 1 / 1 point It helps correct for subject motion All of the above It helps overcome limitations in the spatial normalization It helps correct for problems with slice-timing during data acquisition —————————————————————————- 6. Question 6 When the null hypothesis H0 is true, but we mistakenly reject it we have: 1 / 1 point Made the correct decision. Committed a Type II error Committed a Type III error Committed a Type I error —————————————————————————- 2. Question 2 Which of the following statements describe a fixed-effects analysis? 1 / 1 point The results are generalizable to a population of subjects. The true response magnitude is fixed in all subjects. All of the above. There are two sources of variation, one due to measurement error and the other due to differences in response magnitude between subjects. Other Questions Of This Category Fill in the blank BOLD fMRI takes advantage of the difference in between oxygenated and deoxygenated hemoglobinA grand GLM that includes data from a group of subjects concatenated into one model is aThe goals of preprocessing are toWhich field is not relevant to neuroimagingWhich of the following are common goals in the statistical analysis of fMRI dataValid reverse inference requiresParametric modulators are often included in the GLM analysis in order to
