Estimating Local Surface Complexity Maps Using Spherical Harmonic Reconstructions
(0) Cortical surface complexity is a potential structural marker for certain diseases such as schizophrenia. In this study, we developed a measure of fractal dimension (FD) calculated from lowpass-filtered spherical harmonic brain surface reconstructions. A local FD measure was also computed at each vertex in a cortical surface mesh, visualizing local variations in surface complexity over the brain surface. We analyzed the surface complexity for 87 patients with DSM-IV schizophrenia (with stable psychopathology and treated with antipsychotic medication) and 108 matched healthy controls. The global FD for the right hemisphere in the schizophrenic group was significantly lower than that in controls. Local FD maps showed that the lower complexity was mainly due to differences in the prefrontal cortex.
surface complexity fractal dimension spherical harmonics schizophrenia MRI
Rachel Aine Yotter Paul M.Thompson Igor Nenadic Christian Gaser
Friedrich-Schiller University, Department of Psychiatry,Jahnstr.3, 07743 Jena, Germany Laboratory of Neuro Imaging, UCLA School of Medicine,Department of Neurology, Los Angeles, CA 90094, Friedrich-Schiller University, Department of Psychiatry, Jahnstr.3, 07743 Jena, Germany
国际会议
北京
英文
169-176
2010-09-01（万方平台首次上网日期，不代表论文的发表时间）