Data-driven network neuroscience: on data collection and benchmark

• Main Authors: Xu, Jiaxing, Yang, Yunhan, Huang, David Tse Jung, Gururajapathy, Sophi Shilpa, Ke, Yiping, Qiao, Miao, Wang, Alan, Kumar, Haribalan, McGeown, Josh, Kwon, Eryn
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Engineering::Computer science and engineering::Computer applications::Life and medical sciences; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Computer science and engineering::Data::Files; Network Neuroscience; Brain Network Datasets; fMRI Images; Brain Network Construction Pipeline
• Online Access: https://hdl.handle.net/10356/173325; https://neurips.cc/
• Institution: Nanyang Technological University

This paper presents a comprehensive and quality collection of functional human brain network data for potential research in the intersection of neuroscience, machine learning, and graph analytics. Anatomical and functional MRI images have been used to understand the functional connectivity of the hu...