Work

Classification of temporal ICA components for separating global noise from fMRI data: Reply to Power

Year: 2019

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2019.04.046

Authors: Matthew F. Glasser, Timothy S. Coalson, Janine D. Bijsterbosch, Samuel J. Harrison, Michael P. Harms, Alan Anticevic, David C. Van Essen, Stephen M. Smith

Institutions: Washington University in St. Louis, St. Luke's Hospital, Washington University Medical Center, John Radcliffe Hospital, University of Oxford, Wellcome Centre for Integrative Neuroimaging, University of Zurich, ETH Zurich, Yale University

Language: English

Topic: Blind Source Separation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Wellcome Trust, National Institutes of Health, National Institute of Mental Health, NIH Blueprint for Neuroscience Research, National Center for Advancing Translational Sciences

Awards: Reconstructions and Representations of Cerebral Cortex, Integrated multimodal brain imaging for neuroscience research and clinical practice., Mapping the Human Connectome: Structure, Function, and Heritability, G3848525072, Non-invasive Multi-modal Parcellation of the Human Cerebral Cortex, Yale Clinical and Translational Science Award

OpenAlex ID: W2942021648

FWCI: 3.626

Cites: 13

Cited by: 43

Related to: 10