have an interactive transcript feature enabled, which appears below the video when playing. Viewers can search for keywords in the video or click on any word in the transcript to jump to that point in the video. When searching, a dark bar with white vertical lines appears below the video frame. Each white line is an occurrence of the searched term and can be clicked on to jump to that spot in the video.
Recorded:
Jul 12, 2017
Uploaded:
November 7, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe, MIT
Variability between people, in the precise anatomical and functional brain architectures pose a challenge for performing group analyses that integrate fMRI data across multiple subjects in fMRI experiments. This final tutorial...
Recorded:
Jul 12, 2017
Uploaded:
November 6, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe, MIT
This tutorial addresses the problem of multiple comparisons, which arises in the analysis of fMRI data when hypothesis tests are performed over many voxels spanning a large area of the brain, in order to determine where there are...
Recorded:
Jul 12, 2017
Uploaded:
November 3, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe, MIT
Introduction to representational similarity analysis (RSA), which uses measures of the similarity of pairs of distributed patterns of fMRI responses to multiple stimulus conditions, in selected regions of interest (ROIs), to...
Recorded:
Jul 12, 2017
Uploaded:
November 3, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe, MIT
Elaboration on the classification step in fMRI analysis, in which the particular stimulus condition(s) present in a given experimental trial are learned from the observed fMRI responses of a set of voxels, enabling prediction of...
Recorded:
Jul 12, 2017
Uploaded:
November 2, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe, MIT
Continuation of the introduction to multivariate analysis techniques for fMRI data, which focuses on how and why particular voxels are selected for this analysis. For example, a certain group of voxels may be a hypothesized...
Recorded:
Jul 11, 2017
Uploaded:
October 30, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe - MIT
Introduction to multivariate techniques for analyzing fMRI data, which represent and evaluate the correlation of fMRI activation across brain regions, in contrast to the voxel-by-voxel univariate analysis method, and the...
Recorded:
Jul 11, 2017
Uploaded:
October 26, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe - MIT
Review of early univariate analyses that examined the time course of fMRI signals in individual voxels to assess how much neural activity occurred in response to different stimulus conditions, and where this activity occurred, in...
Recorded:
Jul 11, 2017
Uploaded:
July 26, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe - MIT
Overview of the time course of the fMRI signal and its underlying physical basis: the hemodynamic response function (HRF), blood oxygen-level dependent (BOLD) signal, and relationship between the BOLD signal and the time course of...
Recorded:
Jul 11, 2017
Uploaded:
July 26, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe - MIT
Introduction to the basics of anatomical and functional MRI.