Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.

In Nature communications ; h5-index 260.0

Comprehensive integration of structural and functional connectivity data is required to model brain functions accurately. While resources for studying the structural connectivity of non-human primate brains already exist, their integration with functional connectivity data has remained unavailable. Here we present a comprehensive resource that integrates the most extensive awake marmoset resting-state fMRI data available to date (39 marmoset monkeys, 710 runs, 12117 mins) with previously published cellular-level neuronal tracing data (52 marmoset monkeys, 143 injections) and multi-resolution diffusion MRI datasets. The combination of these data allowed us to (1) map the fine-detailed functional brain networks and cortical parcellations, (2) develop a deep-learning-based parcellation generator that preserves the topographical organization of functional connectivity and reflects individual variabilities, and (3) investigate the structural basis underlying functional connectivity by computational modeling. This resource will enable modeling structure-function relationships and facilitate future comparative and translational studies of primate brains.

Tian Xiaoguang, Chen Yuyan, Majka Piotr, Szczupak Diego, Perl Yonatan Sanz, Yen Cecil Chern-Chyi, Tong Chuanjun, Feng Furui, Jiang Haiteng, Glen Daniel, Deco Gustavo, Rosa Marcello G P, Silva Afonso C, Liang Zhifeng, Liu Cirong

2022-Dec-01