This study provides a scalable, objective, and explainable framework for speech-based cognitive screening, combining cognitive status classification with natural language explanations that clinicians can assess and verify, bridging the gap between advanced AI and clinical utility.
Zi-Yun Cui, Wen Wu, Chuan Shi et al.· arXiv.org· 0 citations
Human language comprehension requires transforming linear word sequences into hierarchical structure. Using Mandarin as a case study, we investigated how the brain builds phrase-level structure from two sequentially presented words. Participants processed the same phrases in two tasks emphasizing either the semantic...
Fei-Zhen Cao, M. Xiang, Shu-Guang Yang et al.· Neurobiology of Language· 0 citations
Surf_2_Volume is presented, a workflow that combines Connectome Workbench, FreeSurfer, AFNI, AFNI, neuromaps, and Python image processing to convert cortical and subcortical CIFTI parcellations into Neuroimaging Informatics Technology Initiative (NIfTI) volumes.
Shu-Guang Yang, Zi-Yi Wang, Yue-Ru Shen et al.· 0 citations
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