Work

An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques

Year: 2009

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2009.01.026

Authors: Jing Sui, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun

Institutions: Mind Research Network, University of Maryland, Baltimore County, Yale University, University of New Mexico

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 Institutes of Health, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: G1683778573, Unified multivariate data-driven solutions for static and dynamic brain connectivity, G208937423, G2458313802, QUANTITATIVE STRUCTURAL NEUROIMAGING IN PSYCHOSIS, G3280918057, Informed Data-Driven Fusion of Behavior, Brain Function, and Genes, G4502609331, G595497569, G6554345161, 3/5 Bipolar-Schizophrenia Network for Intermediate Phenotypes 2 (BSNIP-2), G923377848

OpenAlex ID: W2030700120

FWCI: 5.015

Cites: 75

Cited by: 118

Related to: 10