Work

Predictive models of resting state networks for assessment of altered functional connectivity in mild cognitive impairment

Year: 2013

Type: article

Study design: Observational Study

Source: Brain Imaging and Behavior

DOI: 10.1007/s11682-013-9280-x

Authors: Xi Jiang, Dajiang Zhu, Kaiming Li, Tuo Zhang, Lihong Wang, Dinggang Shen, Lei Guo, Tianming Liu

Institutions: University of Georgia, Northwestern Polytechnical University, Duke University, University of North Carolina at Chapel Hill

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 Science Foundation, National Alliance for Research on Schizophrenia and Depression, National Institutes of Health, Chinese Government Scholarship, National Institute on Aging, National Institute on Drug Abuse, National Institute of Biomedical Imaging and Bioengineering

Awards: G2142418100, Assessing Large-scale Connectivities in Prenatal Cocaine Exposure Affected Brains, G348005173, Assessing Large-scale Brain Connectivities in Mild Cognitive Impairment, G533911599, CAREER: Discovering Common Human Brain Architecture, FMRI: Prediction of Mild Cognitive Impairment In Geriatric Depression, Fast, Robust Analysis of Large Population Data, G5862333082, G6671297155, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G725429013, G7457376682, Computer Aided Diagnosis and Followup of Alzheimer's Disease

OpenAlex ID: W1974623751

FWCI: 0.545

Cites: 58

Cited by: 6

Related to: 10