Functional magnetic resonance imaging (fMRI) has opened the possibility to investigate how brain activity is modulated by behavior. Most studies so far are bound to one single task, in which functional responses to a handful of contrasts are analyzed and reported as a group average brain map. Contrariwise, recent data‐collection efforts have started to target a systematic spatial representation of multiple mental functions. In this paper, we leverage the Individual Brain Charting (IBC) dataset—a high‐resolution task‐fMRI dataset acquired in a fixed environment—in order to study the feasibility of individual mapping. First, we verify that the IBC brain maps reproduce those obtained from previous, large‐scale datasets using the same tasks. Second, we confirm that the elementary spatial components, inferred across all tasks, are consistently mapped within and, to a lesser extent, across participants. Third, we demonstrate the relevance of the topographic information of the individual contrast maps, showing that contrasts from one task can be predicted by contrasts from other tasks. At last, we showcase the benefit of contrast accumulation for the fine functional characterization of brain regions within a prespecified network. To this end, we analyze the cognitive profile of functional territories pertaining to the language network and prove that these profiles generalize across participants.

中文翻译：

---

基于深度表型的功能区域的主题特定分离

功能性磁共振成像 (fMRI) 开启了研究大脑活动如何被行为调节的可能性。迄今为止，大多数研究都局限于一项任务，其中对少数对比的功能反应进行分析并报告为一组平均脑图。相反，最近的数据收集工作已经开始针对多种心理功能的系统空间表示。在本文中，我们利用个体脑图 (IBC) 数据集（在固定环境中获取的高分辨率任务 fMRI 数据集）来研究个体映射的可行性。首先，我们验证 IBC 脑图可以重现使用相同任务从以前的大规模数据集中获得的脑图。其次，我们确认在所有任务中推断出的基本空间组件，一致地在参与者内部进行映射，并且在较小程度上在参与者之间进行映射。第三，我们展示了各个对比图的地形信息的相关性，表明一项任务的对比可以通过其他任务的对比来预测。最后，我们展示了对比度积累对预先指定的网络中大脑区域的精细功能表征的好处。为此，我们分析了与语言网络相关的功能区域的认知概况，并证明这些概况在参与者之间具有普遍性。我们展示了对比度积累对预先指定的网络中大脑区域的精细功能表征的好处。为此，我们分析了与语言网络相关的功能区域的认知概况，并证明这些概况在参与者之间具有普遍性。我们展示了对比度积累对预先指定的网络中大脑区域的精细功能表征的好处。为此，我们分析了与语言网络相关的功能区域的认知概况，并证明这些概况在参与者之间具有普遍性。