Work

Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network

Year: 2017

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-67159-8_3

Authors: Xiuyi Jia, Han Zhang, Ehsan Adeli, Dinggang Shen

Institutions: University of North Carolina at Chapel Hill, Nanjing University of Science and Technology

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 Institute on Aging, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: Assessing Large-scale Brain Connectivities in Mild Cognitive Impairment, 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, 4D Cortical Surface Analysis Tools for Study of Early Brain Development in Typical and High-risk Infants, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI

OpenAlex ID: W2751668041

FWCI: 1.343

Cites: 20

Cited by: 7

Related to: 10