File:Deformation-based morphometry after amputation.png: Difference between revisions
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Revision as of 09:24, 5 June 2009
Summary
| Title / Description
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Deformation-based morphometry (DBM) can be used to detect very subtle changes in the brain even in a single case. In this example, T1-weighted images were acquired from a male patient (32 years old) at several time points after amputation of the right forearm. DBM was used to estimate the gray matter volume changes of each image with respect to the baseline image. A linear volume loss was found for example in the primary motor cortex on the contra-lateral side to the amputation (green dots). The image on the right shows a brain scan overlaid with a statistical map of areas that changed significantly over time. After week 13, the patient received a myoelectrical prosthesis (red arrow). The time course in the somatosensory cortex (red dots) shows a volume decrease until week 13, followed by a small volume increase. This means that the primary motor cortex is unaffected by the prosthesis, while the somatosensory cortex reveals a small increase in volume after stimulating the sensory system with the prosthesis (MRI data courtesy of Thomas Weiss, University of Jena). |
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| Author(s)
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Daniel Mietchen and Christian Gaser |
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2009 |
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This media, Deformation-based morphometry after amputation.png, is licenced under the Creative Commons Attribution-ShareAlike 3.0 Unported License
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