Work

Hyper-connectivity of functional networks for brain disease diagnosis

Year: 2016

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2016.03.003

Authors: Biao Jie, Chong-Yaw Wee, Dinggang Shen, Daoqiang Zhang

Institutions: Anhui Normal University, Nanjing University of Aeronautics and Astronautics, National University of Singapore, University of North Carolina at Chapel Hill, Korea University

Language: English

Topic: Functional Brain Connectivity Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Natural Science Foundation of China, National Institute on Aging, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: G1344436209, Infant Brain Measurement and Super-Resolution Atlas Construction, G2554420656, Assessing Large-scale Brain Connectivities in Mild Cognitive Impairment, G4739438220, Quantifying Brain Abnormality by Multimodality Neuroimage Analysis, Diagnosis of Alzheimer's Disease Using Dynamic High-Order Brain Networks, Longitudinal Mapping of Human Brain Development in the First Years of Life, Fast, Robust Analysis of Large Population Data, Imaging Genomics Based Brain Disease Prediction, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G7644015481

OpenAlex ID: W2304527985

FWCI: 10.18

Cites: 94

Cited by: 164

Related to: 10