title: Three-dimensional mapping of brainstem functional lesions.
abstract: The human brainstem is a highly complex structure where even small lesions can give rise to a variety of symptoms and outward signs. Localising the area of dysfunction within the brainstem is often a difficult task. To make localisation easier, a neural net system has been developed which uses 72 clinical and neurophysiological data inputs to provide a display (using 5268 voxels) on a three-dimensional model of the human brainstem. The net was trained by means of a back-propagation algorithm, over a pool of 580 example cases. Assessed on 200 test cases, the net correctly localised 83.6% of the target voxels; furthermore the net correctly localised the lesions in 31 out of 37 patients. Because this computer-assisted method provides reliable and quantitative localisation of brainstem areas of dysfunction and can be used as a 3D interactive functional atlas, it is expected to prove useful as a diagnostic tool for assessing focal brainstem lesions.
authors.affiliation: Department of Neurosciences, University of Rome La Sapienza, Italy.
authors.forename: M
authors.initials: M
authors.lastname: Capozza
authors.forename: G D
authors.initials: GD
authors.lastname: Iannetti
authors.forename: M
authors.initials: M
authors.lastname: Mostarda
authors.forename: G
authors.initials: G
authors.lastname: Cruccu
authors.forename: N
authors.initials: N
authors.lastname: Accornero
mesh_terms: D001927:Brain Diseases / Q000175:diagnosis*; D001933:Brain Stem / Q000503:physiopathology*; D006801:Humans; D008959:Models, Neurological; D016571:Neural Networks, Computer; D012189:Retrospective Studies