The following figures show the filtering effects of Gaussian and GPDF, compared with the unfiltered case as a baseline. The either filtered or unfiltered individual resting fMRI data (HCP minimally processed) were played back in real time. Spatial patterns are barely visible if no filter is applied at all. Both Gaussian and GPDF filters can reduce the noise level, which reveals the spatial patterns (at least the default mode network is clearly identifiable). However, in the Gaussian case, the boundaries between different function regions (white) wobble a lot due to the spatial blurring of the Gaussian filter, while GPDF keeps the boundaries sharp.
Unfiltered | Gaussian Filter | GPDF Filter |
---|---|---|
IN NO EVENT SHALL THE AUTHORS, THE CONTRIBUTORS, THE DISTRIBUTORS AND THE UNIVERSITY OF SOUTHERN CALIFORNIA (“AUTHORS”) BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, ARISING OUT OF THE USE OF THIS CODE, EVEN IF THE AUTHORS HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THE AUTHORS SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. FOR RESEARCH PURPOSE ONLY. THIS CODE IS PROVIDED ON A “AS IS” BASIS AND THE AUTHORS HAVE NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.
Please follow this link (will open a new page) and fill out the form. An e-mail will be sent to you with a personal download link.