Work

On the analysis of rapidly sampled fMRI data

Year: 2019

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2019.02.008

Authors: Jingyuan E. Chen, Jonathan R. Polimeni, Saskia Bollmann, Gary H. Glover

Institutions: Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Stanford Medicine, Stanford University, Harvard–MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, The University of Queensland

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: Lucas Foundation, National Institutes of Health, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering

Awards: Resting state connectivity: Biophysical basis for and improved fMRI measurements, Center for Advanced Magnetic Resonance Technology at Stanford, fMRI Technologies for Imaging at the Limit of Biological Spatiotemporal Resolution, Center for Functional Imaging Technologies, Neurovascular dynamics supporting fast and high resolution functional MR imaging

OpenAlex ID: W2911275906

FWCI: 6.596

Cites: 97

Cited by: 68

Related to: 10