Optimal approaches to analyzing functional MRI data in glioma patients.

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Title: Optimal approaches to analyzing functional MRI data in glioma patients.
Authors: Park KY; Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA; Medical Scientist Training Program, Washington University School of Medicine, St. Louis, MO, USA; Division of Neurotechnology, Washington University School of Medicine, St. Louis, MO 63110, USA. Electronic address: k.park@wustl.edu., Shimony JS; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA., Chakrabarty S; Department of Electrical and Systems Engineering, Washington University, St. Louis, MO 63130, USA., Tanenbaum AB; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA., Hacker CD; Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA., Donovan KM; Department of Biomedical Engineering, Washington University, St. Louis, MO 63130, USA; Division of Neurotechnology, Washington University School of Medicine, St. Louis, MO 63110, USA., Luckett PH; Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA; Division of Neurotechnology, Washington University School of Medicine, St. Louis, MO 63110, USA., Milchenko M; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA., Sotiras A; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA., Marcus DS; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA., Leuthardt EC; Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Biomedical Engineering, Washington University, St. Louis, MO 63130, USA; Department of Mechanical Engineering and Materials Science, Washington University, St. Louis, MO 63130, USA; Center for Innovation in Neuroscience and Technology, Washington University School of Medicine, St. Louis, MO 63110, USA; Brain Laser Center, Washington University School of Medicine, St. Louis, MO 63110, USA; Division of Neurotechnology, Washington University School of Medicine, St. Louis, MO 63110, USA., Snyder AZ; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Source: Journal of neuroscience methods [J Neurosci Methods] 2024 Feb; Vol. 402, pp. 110011. Date of Electronic Publication: 2023 Nov 18.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7905558 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-678X (Electronic) Linking ISSN: 01650270 NLM ISO Abbreviation: J Neurosci Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-678X
DOI:10.1016/j.jneumeth.2023.110011