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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
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PubType: Academic Journal
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  Data: Optimal approaches to analyzing functional MRI data in glioma patients.
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  Data: <searchLink fieldCode="AU" term="%22Park+KY%22">Park KY</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Shimony+JS%22">Shimony JS</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.<br /><searchLink fieldCode="AU" term="%22Chakrabarty+S%22">Chakrabarty S</searchLink>; Department of Electrical and Systems Engineering, Washington University, St. Louis, MO 63130, USA.<br /><searchLink fieldCode="AU" term="%22Tanenbaum+AB%22">Tanenbaum AB</searchLink>; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA.<br /><searchLink fieldCode="AU" term="%22Hacker+CD%22">Hacker CD</searchLink>; Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA.<br /><searchLink fieldCode="AU" term="%22Donovan+KM%22">Donovan KM</searchLink>; Department of Biomedical Engineering, Washington University, St. Louis, MO 63130, USA; Division of Neurotechnology, Washington University School of Medicine, St. Louis, MO 63110, USA.<br /><searchLink fieldCode="AU" term="%22Luckett+PH%22">Luckett PH</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Milchenko+M%22">Milchenko M</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.<br /><searchLink fieldCode="AU" term="%22Sotiras+A%22">Sotiras A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Marcus+DS%22">Marcus DS</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.<br /><searchLink fieldCode="AU" term="%22Leuthardt+EC%22">Leuthardt EC</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Snyder+AZ%22">Snyder AZ</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%227905558%22">Journal of neuroscience methods</searchLink> [J Neurosci Methods] 2024 Feb; Vol. 402, pp. 110011. <i>Date of Electronic Publication: </i>2023 Nov 18.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%2FNorth-Holland+Biomedical+Press%22">Elsevier/North-Holland Biomedical Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>7905558 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1872-678X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201650270%22">01650270 </searchLink><i>NLM ISO Abbreviation: </i>J Neurosci Methods <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.jneumeth.2023.110011
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      – Code: eng
        Text: English
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      – TitleFull: Optimal approaches to analyzing functional MRI data in glioma patients.
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              Text: 2024 Feb
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              Y: 2024
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