Quasi-static pipeline in electroconvulsive therapy computational modeling.

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Bibliographic Details
Title: Quasi-static pipeline in electroconvulsive therapy computational modeling.
Authors: Unal G; Department of Biomedical Engineering, The City College of New York, CUNY, New York, NY, USA. Electronic address: gozdeunal33@gmail.com., Poon C; Department of Biomedical Engineering, The City College of New York, CUNY, New York, NY, USA., FallahRad M; Department of Biomedical Engineering, The City College of New York, CUNY, New York, NY, USA., Thahsin M; Department of Biomedical Engineering, The City College of New York, CUNY, New York, NY, USA., Argyelan M; Center for Neurosciences, The Feinstein Institute for Medical Research, North Shore- Long Island Jewish Health System, Manhasset, NY, 11030, USA., Bikson M; Department of Biomedical Engineering, The City College of New York, CUNY, New York, NY, USA. Electronic address: bikson@ccny.cuny.edu.
Source: Brain stimulation [Brain Stimul] 2023 Mar-Apr; Vol. 16 (2), pp. 607-618. Date of Electronic Publication: 2023 Mar 16.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101465726 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1876-4754 (Electronic) Linking ISSN: 18764754 NLM ISO Abbreviation: Brain Stimul Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1876-4754
DOI:10.1016/j.brs.2023.03.007