Publication details
Brain morphometry of MR images for automated classification of first-episode schizophrenia
| Authors | |
|---|---|
| Year of publication | 2014 |
| Type | Article in Periodical |
| Magazine / Source | Information Fusion |
| MU Faculty or unit | |
| Citation | |
| Doi | http://dx.doi.org/10.1016/j.inffus.2013.02.002 |
| Field | Use of computers, robotics and its application |
| Keywords | image registration; brain morphometry; pattern recognition; computational neuroanatomy; group analysis; schizophrenia |
| Attached files | |
| Description | Schizophrenia is a disabling psychiatric disorder that usually begins to affect individuals during their adolescence or early adulthood and most patients continue to suffer social, economic, and psychological difficulties from the very onset of the disorder. The neurobiology of the disorder comprises of changes in the brain that can be detected using MR imaging. Focus on the morphological changes in patients with first episode schizophrenia limits the confouding effect of factors such as long-term medication or progression. Therefore, the detected abnormalities are more likely to indicate the primary pathology and the existence of such changes provides the opportunity of applying them for subject recognition based on brain imaging. |
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