Work

Estimating functional brain networks by incorporating a modularity prior

Year: 2016

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2016.07.058

Authors: Lishan Qiao, Han Zhang, Minjeong Kim, Shenghua Teng, Limei Zhang, Dinggang Shen

Institutions: University of North Carolina at Chapel Hill, Liaocheng University, 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, Natural Science Foundation of Shandong Province, National Institutes of Health, National Institute on Aging, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: G1600120695, G1610907132, G2561755286, G3139536118, G4305135499, 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, G5262501365, Fast, Robust Analysis of Large Population Data, G635188979, 4D Cortical Surface Analysis Tools for Study of Early Brain Development in Typical and High-risk Infants, G6748413423, 复杂噪声场景下的新型非局部图像滤波器设, G7112823909, G7144738877, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G7609625574

OpenAlex ID: W2502203196

FWCI: 5.728

Cites: 47

Cited by: 134

Related to: 10