In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand?

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Title: In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand?
Authors: Rockholt MM; Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States., Kenefati G; Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States., Doan LV; Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States., Chen ZS; Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States.; Department of Neuroscience & Physiology, Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States.; Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, NY, United States., Wang J; Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States.; Department of Neuroscience & Physiology, Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States.; Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, NY, United States.
Source: Frontiers in neuroscience [Front Neurosci] 2023 Jun 14; Vol. 17, pp. 1186418. Date of Electronic Publication: 2023 Jun 14 (Print Publication: 2023).
Publication Type: Journal Article; Review
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101478481 Publication Model: eCollection Cited Medium: Print ISSN: 1662-4548 (Print) Linking ISSN: 1662453X NLM ISO Abbreviation: Front Neurosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1662-4548
DOI:10.3389/fnins.2023.1186418