2009 WinawerDoughertyWandell: Difference between revisions
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== Measuring retinotopic maps == | == Measuring retinotopic maps == | ||
Retinotopic maps were obtained in 5 subjects using Population Receptive Field mapping methods [http://white.stanford.edu/~brian/papers/mri/2007-Dumoulin-NI.pdf Dumoulin and Wandell (2008)]. These data were collected for another [http://www.journalofvision.org/9/8/768/ research project] in the Wandell lab. We re-analyzed the data for this project, as described below. | Retinotopic maps were obtained in 5 subjects using Population Receptive Field mapping methods [http://white.stanford.edu/~brian/papers/mri/2007-Dumoulin-NI.pdf Dumoulin and Wandell (2008)]. These data were collected for another [http://www.journalofvision.org/9/8/768/ research project] in the Wandell lab. We re-analyzed the data for this project, as described below. | ||
=== Subjects === | === Subjects === | ||
Subjects were 5 healthy volunteers. | Subjects were 5 healthy volunteers. | ||
=== | === MR acquisition === | ||
Data were obtained on a GE scanner. Et cetera. | Data were obtained on a GE scanner. Et cetera. | ||
=== | === MR Analysis === | ||
The MR data was analyzed using mrVista software tools. | |||
All data were slice-time corrected, motion corrected, and repeated scans were averaged together to create a single average scan for each subject. Et cetera. | All data were slice-time corrected, motion corrected, and repeated scans were averaged together to create a single average scan for each subject. Et cetera. | ||
=== PRF model fits === | === PRF model fits === | ||
PRF models were fit with a 2-gaussian model. | |||
= Results - What you found = | = Results - What you found = | ||
Revision as of 21:35, 23 November 2009
Project Title - Retinotopic maps in MNI space
Much of the visual cortex is organized into visual field maps: nearby neurons have receptive fields at nearby locations in the image. These maps are usually identified in individual subjects. The precise location of each map may be different in different brains. For this project, we asked how the quality of the maps would compare using (a) standard retinoptic methods on individual brains or (b) group-averaged brains projected into MNI space.
Background
Retinotopic maps
You can use subsections if you like.
Below is an example of a retinotopic map. Or, to be precise, below will be an example of a retinotopic map once the image is uploaded. To add an image, simply put text like this inside double brackets 'MyFile.jpg | My figure caption'. When you save this text and click on the link, the wiki will ask you for the figure.
Below is another example of a reinotopic map in a different subject.
MNI space
MNI is an abbreviation for Montreal Neurological Institute.
Methods
Measuring retinotopic maps
Retinotopic maps were obtained in 5 subjects using Population Receptive Field mapping methods Dumoulin and Wandell (2008). These data were collected for another research project in the Wandell lab. We re-analyzed the data for this project, as described below.
Subjects
Subjects were 5 healthy volunteers.
MR acquisition
Data were obtained on a GE scanner. Et cetera.
MR Analysis
The MR data was analyzed using mrVista software tools. All data were slice-time corrected, motion corrected, and repeated scans were averaged together to create a single average scan for each subject. Et cetera.
PRF model fits
PRF models were fit with a 2-gaussian model.