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Sensor-level MEG combined with machine learning yields robust classification of mild traumatic brain injury patients.

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Title: Sensor-level MEG combined with machine learning yields robust classification of mild traumatic brain injury patients.
Authors: Aaltonen J; BioMag Laboratory, HUS Medical Imaging Center, Helsinki University Hospital, Helsinki University and Aalto University School of Science, P.O. Box 340, 00029 HUS Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland. Electronic address: juho.aaltonen@aalto.fi., Heikkinen V; BioMag Laboratory, HUS Medical Imaging Center, Helsinki University Hospital, Helsinki University and Aalto University School of Science, P.O. Box 340, 00029 HUS Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland., Kaltiainen H; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland; Department of Neurology, Helsinki University Hospital and Clinical Neurosciences, Neurology, University of Helsinki, P.O. Box 340, 00029 HUS, Helsinki, Finland., Salmelin R; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland., Renvall H; BioMag Laboratory, HUS Medical Imaging Center, Helsinki University Hospital, Helsinki University and Aalto University School of Science, P.O. Box 340, 00029 HUS Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland; Department of Neurology, Helsinki University Hospital and Clinical Neurosciences, Neurology, University of Helsinki, P.O. Box 340, 00029 HUS, Helsinki, Finland.
Source: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2023 Sep; Vol. 153, pp. 79-87. Date of Electronic Publication: 2023 Jun 30.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 100883319 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8952 (Electronic) Linking ISSN: 13882457 NLM ISO Abbreviation: Clin Neurophysiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Sensor-level MEG combined with machine learning yields robust classification of mild traumatic brain injury patients.
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  Data: <searchLink fieldCode="AU" term="%22Aaltonen+J%22">Aaltonen J</searchLink>; BioMag Laboratory, HUS Medical Imaging Center, Helsinki University Hospital, Helsinki University and Aalto University School of Science, P.O. Box 340, 00029 HUS Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland. Electronic address: juho.aaltonen@aalto.fi.<br /><searchLink fieldCode="AU" term="%22Heikkinen+V%22">Heikkinen V</searchLink>; BioMag Laboratory, HUS Medical Imaging Center, Helsinki University Hospital, Helsinki University and Aalto University School of Science, P.O. Box 340, 00029 HUS Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland.<br /><searchLink fieldCode="AU" term="%22Kaltiainen+H%22">Kaltiainen H</searchLink>; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland; Department of Neurology, Helsinki University Hospital and Clinical Neurosciences, Neurology, University of Helsinki, P.O. Box 340, 00029 HUS, Helsinki, Finland.<br /><searchLink fieldCode="AU" term="%22Salmelin+R%22">Salmelin R</searchLink>; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland.<br /><searchLink fieldCode="AU" term="%22Renvall+H%22">Renvall H</searchLink>; BioMag Laboratory, HUS Medical Imaging Center, Helsinki University Hospital, Helsinki University and Aalto University School of Science, P.O. Box 340, 00029 HUS Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland; Department of Neurology, Helsinki University Hospital and Clinical Neurosciences, Neurology, University of Helsinki, P.O. Box 340, 00029 HUS, Helsinki, Finland.
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  Data: <searchLink fieldCode="JN" term="%22100883319%22">Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology</searchLink> [Clin Neurophysiol] 2023 Sep; Vol. 153, pp. 79-87. <i>Date of Electronic Publication: </i>2023 Jun 30.
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  Data: Journal Article; Research Support, Non-U.S. Gov't
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>100883319 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1872-8952 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213882457%22">13882457 </searchLink><i>NLM ISO Abbreviation: </i>Clin Neurophysiol <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.clinph.2023.06.010
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        Text: English
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              Text: 2023 Sep
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