文献类型： 会议论文

第一作者： Sevil Maghsadhagh

作者： Sevil Maghsadhagh ¹ ; Josue L. Dalboni da Rocha ² ; Jan Benner ³ ; Peter Schneider ⁴ ; Narly Golestani ¹ ; Hamid Behjat ⁵ ;

作者机构： 1.Brain and Language Lab, Cognitive Science Hub, University of Vienna

2.Brain and Language Lab, Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva

3.Department of Neuroradiology, University Hospital Heidelberg

4.Department of Neurology, Section of Biomagnetism, University Hospital Heidelberg

5.Department of Radiology, Brigham and Women's Hospital, Harvard Medical School

会议名称： Annual International Conference of the IEEE Engineering in Medicine and Biology Society

主办单位：

页码： 3577-3581

摘要： Heschl's Gyrus (HG), which hosts the primary auditory cortex, exhibits large variability not only in size but also in its gyrification patterns, within (i.e., between hemispheres) and between individuals. Conventional structural measures such as volume, surface area and thickness do not capture the full morphological complexity of HG, in particular, with regards to its shape. We present a method for characterizing the morphology of HG in terms of Laplacian eigenmodes of surface-based and volume-based graph representations of its structure, and derive a set of spectral graph features that can be used to discriminate HG subtypes. We applied this method to a dataset of 177 adults previously shown to display considerable variability in the shape of their HG, including data from amateur and professional musicians, as well as non-musicians. Results show the superiority of the proposed spectral graph features over conventional ones in differentiating HG subtypes, in particular, single HG versus Common Stem Duplications (CSDs). We anticipate the proposed shape features to be found beneficial in the domains of language, music and associated pathologies, in which variability of HG morphology has previously been established.

分类号： q81-53