Work

Hybrid ICA–Bayesian network approach reveals distinct effective connectivity differences in schizophrenia

Year: 2008

Type: article

Study design: Observational Study

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2008.05.065

Authors: D. Kim, J. Burge, T. Lane, G.D. Pearlson, K.A. Kiehl, V.D. Calhoun

Institutions: Mind Research Network, Google (United States), University of New Mexico, Yale 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 Science Foundation, National Institutes of Health, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: A Unified Framework for Flexible Brain Image Analysis, Unified multivariate data-driven solutions for static and dynamic brain connectivity, G303543955, CRCNS: Bayesian Analysis of Neural-Behavioral Interactions in Mental Illness, G595497569, The Cognitive Neuroscience of Female Psychopathy

OpenAlex ID: W1977513632

FWCI: 2.432

Cites: 43

Cited by: 54

Related to: 10