Center for Cognitive Neuroscience, Dartmouth College, Hanover, United States.
Princeton Neuroscience Institute, Princeton University, Princeton, United States.
Elife. 2023 Nov 23;12:e86037. doi: 10.7554/eLife.86037.
Participant-specific, functionally defined brain areas are usually mapped with functional localizers and estimated by making contrasts between responses to single categories of input. Naturalistic stimuli engage multiple brain systems in parallel, provide more ecologically plausible estimates of real-world statistics, and are friendly to special populations. The current study shows that cortical functional topographies in individual participants can be estimated with high fidelity from naturalistic stimuli. Importantly, we demonstrate that robust, individualized estimates can be obtained even when participants watched different movies, were scanned with different parameters/scanners, and were sampled from different institutes across the world. Our results create a foundation for future studies that allow researchers to estimate a broad range of functional topographies based on naturalistic movies and a normative database, making it possible to integrate high-level cognitive functions across datasets from laboratories worldwide.
个体特定的、功能定义的大脑区域通常通过功能定位器进行映射，并通过对单一类别输入的反应进行对比来估计。自然刺激并行地涉及多个大脑系统，提供了更符合现实世界统计数据的估计，并且对特殊人群更友好。本研究表明，可以从自然刺激中高度准确地估计个体参与者的皮质功能拓扑。重要的是，我们证明，即使参与者观看不同的电影、使用不同的参数/扫描仪进行扫描以及来自世界各地不同的机构进行采样，也可以获得稳健的、个体化的估计。我们的研究结果为未来的研究奠定了基础，这些研究允许研究人员根据自然电影和标准数据库来估计广泛的功能拓扑，从而有可能整合来自世界各地实验室的数据集中的高级认知功能。
