Department of Diagnostic Imaging, St Jude Children's Research Hospital, Memphis, USA; Brain and Language Lab, Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland.
Brain and Language Lab, Cognitive Science Hub, University of Vienna, Vienna, Austria; Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.
Neuroimage. 2023 May 15;272:120052. doi: 10.1016/j.neuroimage.2023.120052. Epub 2023 Mar 23.
Heschl's gyrus (HG), which includes primary auditory cortex, is highly variable in its shape (i.e. gyrification patterns), between hemispheres and across individuals. Differences in HG shape have been observed in the context of phonetic learning skill and expertise, and of professional musicianship, among others. Two of the most common configurations of HG include single HG, where a single transverse temporal gyrus is present, and common stem duplications (CSD), where a sulcus intermedius (SI) arises from the lateral aspect of HG. Here we describe a new toolbox, called 'Multivariate Concavity Amplitude Index' (MCAI), which automatically assesses the shape of HG. MCAI works on the output of TASH, our first toolbox which automatically segments HG, and computes continuous indices of concavity, which arise when sulci are present, along the outer perimeter of an inflated representation of HG, in a directional manner. Thus, MCAI provides a multivariate measure of shape, which is reproducible and sensitive to small variations in shape. We applied MCAI to structural magnetic resonance imaging (MRI) data of N=181 participants, including professional and amateur musicians and from non-musicians. Former studies have shown large variations in HG shape in the former groups. We validated MCAI by showing high correlations between the dominant (i.e. highest) lateral concavity values and continuous visual assessments of the degree of lateral gyrification of the first gyrus. As an application of MCAI, we also replicated previous visually obtained findings showing a higher likelihood of bilateral CSDs in musicians. MCAI opens a wide range of applications in evaluating HG shape in the context of individual differences, expertise, disorder and genetics.
Heschl 回(HG),包括初级听觉皮层,在其形状(即脑回模式)方面在半球之间和个体之间具有高度的可变性。在语音学习技能和专业知识以及专业音乐演奏等方面,已经观察到 HG 形状的差异。HG 的两种最常见配置包括单个 HG,其中存在单个横向颞回,以及常见的茎干重复(CSD),其中中间沟(SI)从 HG 的侧面出现。在这里,我们描述了一个新的工具箱,称为“多变量凹度幅度指数”(MCAI),它可以自动评估 HG 的形状。MCAI 基于我们的第一个自动分割 HG 的工具箱 TASH 的输出工作,并在 HG 的充气表示的外部周边上以定向方式计算出现脑沟时的连续凹度指数。因此,MCAI 提供了一种可重复且对形状微小变化敏感的多变量形状测量方法。我们将 MCAI 应用于包括专业和业余音乐家以及非音乐家在内的 181 名参与者的结构磁共振成像(MRI)数据。以前的研究表明,前两组的 HG 形状存在很大差异。我们通过显示主导(即最高)外侧凹度值与对第一脑回外侧脑回程度的连续视觉评估之间的高度相关性来验证 MCAI。作为 MCAI 的应用,我们还复制了以前通过视觉获得的发现,表明音乐家双侧 CSD 的可能性更高。MCAI 为在个体差异、专业知识、障碍和遗传学背景下评估 HG 形状提供了广泛的应用。