ANC language study

Although language is central to human life, our understanding of the neural mechanisms involved in its processing remains limited. While group-based neuroimaging studies have advanced the field, they often obscure individual variability. To address this, we collected a high-resolution, multimodal fMRI dataset using a precision fMRI approach, specifically designed to capture individual variability in the neural mechanisms of word processing. Data were acquired across four separate scanning sessions from 28 participants (23 completed all sessions), resulting in approximately 161 hours of MRI data. Each session included auditory and visual word discrimination tasks, featuring phonological, semantic, orthographic and control conditions. To enhance functional data quality, we employed multi-echo fMRI sequences, improving signal reliability and reducing noise. At the same time, the study emphasizes breadth: it includes both fixation-based and naturalistic movie-viewing resting-state scans, high-resolution T1- and T2-weighted anatomical images, and diffusion-weighted imaging. Beyond neuroimaging, the dataset includes behavioral measures of reading performance, assessments of cognitive ability, a mental health screening, and a pre-session state questionnaire. This dataset offers a comprehensive foundation for investigating the neural architecture of word processing at the individual level, integrating functional, structural, and connectivity data.