Hakonen Maria, Dahmani Louisa, Lankinen Kaisu, Ren Jianxun, Barbaro Julianna, Blazejewska Anna, Cui Weigang, Kotlarz Parker, Li Meiling, Polimeni Jonathan R, Turpin Tori, Uluç Işıl, Wang Danhong, Liu Hesheng, Ahveninen Jyrki
Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Charlestown, Boston, MA, United States.
Department of Radiology, Harvard Medical School, Boston, MA, United States.
Imaging Neurosci (Camb). 2025;3. doi: 10.1162/imag_a_00486. Epub 2025 Feb 25.
Neuroimaging studies of the functional organization of human auditory cortex have focused on group-level analyses to identify tendencies that represent the typical brain. Here, we mapped auditory areas of the human superior temporal cortex (STC) in 30 participants (15 women) by combining functional network analysis and 1-mm isotropic resolution 7T functional magnetic resonance imaging (fMRI). Two resting-state fMRI sessions, and one or two auditory and audiovisual speech localizer sessions, were collected on 3-4 separate days. We generated a set of functional network-based parcellations from these data. Solutions with 4, 6, and 11 networks were selected for closer examination based on local maxima of the Dice coefficients and Silhouette values. The resulting parcellation of auditory cortices showed intraindividual reproducibility of 69-78% between resting-state sessions and 62-73% between resting-state and task sessions, indicating moderate reproducibility. The interindividual variability was significantly larger than intraindividual variability (Dice coefficient: 57%-68%, p < 0.001), indicating that the parcellations also captured meaningful interindividual variability. The individual-specific parcellations yielded the highest alignment with task response topographies, suggesting that individual variability in parcellations reflects individual variability in auditory function. Connectional homogeneity within networks was also highest for the individual-specific parcellations. Furthermore, the similarity in the functional parcellations was not explainable by the similarity of macroanatomical properties of the auditory cortex. Together, our results show that auditory areas in STC can be segmented into functional subareas based on functional connectivity. Our findings also suggest that individual-level parcellations capture meaningful idiosyncrasies in auditory cortex organization.
对人类听觉皮层功能组织的神经影像学研究主要集中在群体水平分析上，以识别代表典型大脑的趋势。在此，我们通过结合功能网络分析和1毫米各向同性分辨率的7T功能磁共振成像（fMRI），对30名参与者（15名女性）的人类颞上叶皮层（STC）听觉区域进行了映射。在3 - 4个不同的日子里收集了两个静息态fMRI会话，以及一个或两个听觉和视听言语定位会话。我们从这些数据中生成了一组基于功能网络的脑区划分。基于Dice系数和轮廓值的局部最大值，选择了具有4、6和11个网络的解决方案进行更仔细的检查。由此产生的听觉皮层分区在静息态会话之间的个体内再现性为69 - 78%，在静息态和任务会话之间为62 - 73%，表明具有中等再现性。个体间变异性显著大于个体内变异性（Dice系数：57% - 68%，p < 0.001），表明这些分区也捕捉到了有意义的个体间变异性。个体特异性分区与任务反应地形图的对齐度最高，这表明分区中的个体变异性反映了听觉功能的个体变异性。个体特异性分区在网络内的连接同质性也最高。此外，功能分区的相似性无法用听觉皮层宏观解剖特性的相似性来解释。总之，我们的结果表明，STC中的听觉区域可以根据功能连接性划分为功能子区域。我们的研究结果还表明，个体水平的分区捕捉到了听觉皮层组织中有意义的特质。
