Yu Zhang

TL;DR: A connectivity-based parcellation framework is designed that identifies the subdivisions of the entire human brain, revealing the in vivo connectivity architecture and provides a fine-grained, cross-validated atlas and contains information on both anatomical and functional connections.

TL;DR: The present study represents the first attempt to parcel the human TP based on its anatomical connectivity features, which may help to improve the understanding of its connectional anatomy and to extend the available knowledge in TP-related clinical research.

TL;DR: The proposed parcellation scheme for the human left inferior parietal lobule and the maximum probability map for each subregion may facilitate more detailed future studies of this brain area.

TL;DR: A generalized framework that can predict explicit values of clinical measures using MRI by taking advantage of joint information from multiple modalities is proposed, which enables whole brain voxel‐wise searching and achieves higher prediction accuracy and enables individualized prediction on multiple clinical measures.

TL;DR: Olson et al. as mentioned in this paper presented a scheme for the parcellation of human temporal lobe (TP) based on anatomical connectivity and revealed its subregional connectivity patterns, including the dorsal (TAr), the medial (TGm), and lateral (TGl) subregions.