Rampinini Alessandra, Balboni Irene, Kepinska Olga, Berthele Raphael, Golestani Narly
Brain and Language Lab, Department of Psychology, Faculty of Psychology and Education Science, University of Geneva, Geneva, Switzerland.
National Centre of Competence in Research Evolving Language, Swiss National Science Foundation, Switzerland.
Sci Data. 2025 Jan 6;12(1):19. doi: 10.1038/s41597-024-04357-y.
This paper introduces the "NEBULA101 - Neuro-behavioural Understanding of Language Aptitude" dataset, which comprises behavioural and brain imaging data from 101 healthy adults to examine individual differences in language and cognition. Human language, a multifaceted behaviour, varies significantly among individuals, at different processing levels. Recent advances in cognitive science have embraced an integrated approach, combining behavioural and brain studies to explore these differences comprehensively. The NEBULA101 dataset offers brain structural, diffusion-weighted, task-based and resting-state MRI data, alongside extensive linguistic and non-linguistic behavioural measures to explore the complex interaction of language and cognition in a highly multilingual sample. By sharing this multimodal dataset, we hope to promote research on the neuroscience of language, cognition and multilingualism, enabling the field to deepen its understanding of the multivariate panorama of individual differences and ultimately contributing to open science.
本文介绍了“NEBULA101——语言能力的神经行为理解”数据集,该数据集包含101名健康成年人的行为和脑成像数据,用于研究语言和认知方面的个体差异。人类语言是一种多方面的行为,在不同的处理层面上,个体之间存在显著差异。认知科学的最新进展采用了一种综合方法,将行为研究和脑研究结合起来,以全面探索这些差异。NEBULA101数据集提供了脑结构、扩散加权、基于任务和静息态的磁共振成像数据,以及广泛的语言和非语言行为测量数据,以探索高度多语言样本中语言和认知的复杂相互作用。通过共享这个多模态数据集,我们希望促进关于语言、认知和多语言神经科学的研究,使该领域能够加深对个体差异多元全景的理解,并最终为开放科学做出贡献。