High-quality multimodal MRI with simultaneous EEG using conductive ink and polymer-thick film nets.

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Bibliographic Details
Title: High-quality multimodal MRI with simultaneous EEG using conductive ink and polymer-thick film nets.
Authors: Cicero NG; Graduate Program in Neuroscience, Boston University, Boston, MA, United States of America.; Department of Biomedical Engineering, Boston University, Boston, MA, United States of America.; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America., Fultz NE; Department of Biomedical Engineering, Boston University, Boston, MA, United States of America.; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States of America.; Department of Radiology, Harvard Medical School, Boston, MA, United States of America.; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark., Jeong H; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States of America.; Department of Radiology, Harvard Medical School, Boston, MA, United States of America., Williams SD; Department of Biomedical Engineering, Boston University, Boston, MA, United States of America.; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America., Gomez D; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America.; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States of America.; Department of Radiology, Harvard Medical School, Boston, MA, United States of America., Setzer B; Graduate Program in Neuroscience, Boston University, Boston, MA, United States of America.; Department of Biomedical Engineering, Boston University, Boston, MA, United States of America.; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America., Warbrick T; Brain Products GmbH, Gilching, Germany., Jaschke M; Brain Products GmbH, Gilching, Germany., Gupta R; Department of Radiology, Harvard Medical School, Boston, MA, United States of America., Lev M; Department of Radiology, Harvard Medical School, Boston, MA, United States of America., Bonmassar G; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States of America.; Department of Radiology, Harvard Medical School, Boston, MA, United States of America., Lewis LD; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America.; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America.; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States of America.
Source: Journal of neural engineering [J Neural Eng] 2024 Nov 05; Vol. 21 (6). Date of Electronic Publication: 2024 Nov 05.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Institute of Physics Pub Country of Publication: England NLM ID: 101217933 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-2552 (Electronic) Linking ISSN: 17412552 NLM ISO Abbreviation: J Neural Eng Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1741-2552
DOI:10.1088/1741-2552/ad8837