The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called “MCCAR+jICA”, which enables both identification of multimodal co-alterations and linking the covarying brain...
The inter-subject alignment is an important precursor to improve consistency across subjects for statistical group analysis in functional magnetic resonance imaging (fMRI) studies. To overcome the limitations of existing techniques and further improve inter-subject functional consistency, we propose a novel image registration method for fMRI data based on features of multi-range functional connectivity...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.