Langers Dave R M
National Institute for Health Research Nottingham Hearing Biomedical Research Unit, School of Clinical Sciences, University of Nottingham, Queen's Medical Centre, Nottingham, United Kingdom; Department of Otorhinolaryngology/Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Hum Brain Mapp. 2014 Apr;35(4):1544-61. doi: 10.1002/hbm.22272. Epub 2013 Apr 30.
Although orderly representations of sound frequency in the brain play a guiding role in the investigation of auditory processing, a rigorous statistical evaluation of cortical tonotopic maps has so far hardly been attempted. In this report, the group-level significance of local tonotopic gradients was assessed using mass-multivariate statistics. The existence of multiple fields on the superior surface of the temporal lobe in both hemispheres was shown. These fields were distinguishable on the basis of tonotopic gradient direction and may likely be identified with the human homologues of the core areas AI and R in primates. Moreover, an objective comparison was made between the usage of volumetric and surface-based registration methods. Although the surface-based method resulted in a better registration across subjects of the grey matter segment as a whole, the alignment of functional subdivisions within the cortical sheet did not appear to improve over volumetric methods. This suggests that the variable relationship between the structural and the functional characteristics of auditory cortex is a limiting factor that cannot be overcome by morphology-based registration techniques alone. Finally, to illustrate how the proposed approach may be used in clinical practice, the method was used to test for focal differences regarding the tonotopic arrangements in healthy controls and tinnitus patients. No significant differences were observed, suggesting that tinnitus does not necessarily require tonotopic reorganisation to occur.
尽管大脑中声音频率的有序表征在听觉处理研究中起着指导作用,但迄今为止,几乎没有人尝试对皮质音调拓扑图进行严格的统计评估。在本报告中,使用大规模多变量统计评估了局部音调拓扑梯度的组水平显著性。结果显示,两侧颞叶上表面存在多个区域。这些区域可根据音调拓扑梯度方向区分,并且可能与灵长类动物核心区域AI和R的人类同源物相对应。此外,还对体积配准方法和基于表面的配准方法的使用进行了客观比较。尽管基于表面的方法在整体灰质段的跨受试者配准方面效果更好,但皮质层内功能细分的对齐似乎并没有比体积方法有所改善。这表明听觉皮层结构和功能特征之间的可变关系是一个限制因素,仅靠基于形态学的配准技术无法克服。最后,为了说明所提出的方法如何应用于临床实践,该方法被用于测试健康对照者和耳鸣患者在音调拓扑排列方面的局灶性差异。未观察到显著差异,这表明耳鸣不一定需要音调拓扑重组才会发生。