Pain phenotypes classified by machine learning using electroencephalography features
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Pain phenotypes classified by machine learning using electroencephalography features
Authors
Keywords
-
Journal
NEUROIMAGE
Volume 223, Issue -, Pages 117256
Publisher
Elsevier BV
Online
2020-08-29
DOI
10.1016/j.neuroimage.2020.117256
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Discovery and validation of biomarkers to aid the development of safe and effective pain therapeutics: challenges and opportunities
- (2020) Karen D. Davis et al. Nature Reviews Neurology
- Gamma oscillations in somatosensory cortex recruit prefrontal and descending serotonergic pathways in aversion and nociception
- (2019) Linette Liqi Tan et al. Nature Communications
- Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography
- (2019) Son Ta Dinh et al. PAIN
- Characterizing the demographics of chronic pain patients in the state of Maine using the Maine all payer claims database
- (2018) Jennifer Malon et al. BMC PUBLIC HEALTH
- Prediction of central neuropathic pain in spinal cord injury based on EEG classifier
- (2018) Aleksandra Vuckovic et al. CLINICAL NEUROPHYSIOLOGY
- Automated detection of electroencephalography artifacts in human, rodent and canine subjects using machine learning
- (2018) Joshua Levitt et al. JOURNAL OF NEUROSCIENCE METHODS
- An approach to EEG-based gender recognition using entropy measurement methods
- (2018) Jianfeng Hu KNOWLEDGE-BASED SYSTEMS
- Points of Significance: Statistics versus machine learning
- (2018) Danilo Bzdok et al. NATURE METHODS
- Thalamocortical dysrhythmia detected by machine learning
- (2018) Sven Vanneste et al. Nature Communications
- Predicting sex from brain rhythms with deep learning
- (2018) Michel J. A. M. van Putten et al. Scientific Reports
- EEG Analytics for Early Detection of Autism Spectrum Disorder: A data-driven approach
- (2018) William J. Bosl et al. Scientific Reports
- What does a pain ‘biomarker’ mean and can a machine be taught to measure pain?
- (2018) Joshua Levitt et al. NEUROSCIENCE LETTERS
- Quantifying and Characterizing Tonic Thermal Pain Across Subjects From EEG Data Using Random Forest Models
- (2017) Vishal Vijayakumar et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Automated classification of pain perception using high-density electroencephalography data
- (2017) Gaurav Misra et al. JOURNAL OF NEUROPHYSIOLOGY
- Brain imaging tests for chronic pain: medical, legal and ethical issues and recommendations
- (2017) Karen D. Davis et al. Nature Reviews Neurology
- Identifying seizure onset zone from electrocorticographic recordings: A machine learning approach based on phase locking value
- (2017) Bahareh Elahian et al. SEIZURE-EUROPEAN JOURNAL OF EPILEPSY
- The rate of transient beta frequency events predicts behavior across tasks and species
- (2017) Hyeyoung Shin et al. eLife
- The Detection of Phase Amplitude Coupling during Sensory Processing
- (2017) Robert A. Seymour et al. Frontiers in Neuroscience
- Thalamic Bursts Down-regulate Cortical Theta and Nociceptive Behavior
- (2017) Brian W. LeBlanc et al. Scientific Reports
- EEG machine learning for accurate detection of cholinergic intervention and Alzheimer’s disease
- (2017) Sonja Simpraga et al. Scientific Reports
- The epidemiology of chronic pain in Libya: a cross-sectional telephone survey
- (2016) Raga A. Elzahaf et al. BMC PUBLIC HEALTH
- StatNet Electroencephalogram: A Fast and Reliable Option to Diagnose Nonconvulsive Status Epilepticus in Emergency Setting
- (2016) Lady Diana Ladino et al. CANADIAN JOURNAL OF NEUROLOGICAL SCIENCES
- Electroencephalographic signatures of pain and analgesia in rats
- (2016) Brian W. LeBlanc et al. PAIN
- Normalization of Pain-Evoked Neural Reponses Using Spontaneous EEG Improves the Performance of EEG-Based Cross-Individual Pain Prediction
- (2016) Yanru Bai et al. Frontiers in Computational Neuroscience
- A Brain Signature to Differentiate Acute and Chronic Pain in Rats
- (2016) Yifei Guo et al. Frontiers in Computational Neuroscience
- Electroencephalographic Patterns in Chronic Pain: A Systematic Review of the Literature
- (2016) Eulália Silva dos Santos Pinheiro et al. PLoS One
- EEG-Based Tonic Cold Pain Characterization Using Wavelet Higher Order Spectral Features
- (2015) Leontios J. Hadjileontiadis IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy
- (2015) Etienne Combrisson et al. JOURNAL OF NEUROSCIENCE METHODS
- Classification algorithms for the identification of structural injury in TBI using brain electrical activity
- (2014) Leslie S. Prichep et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Resting-state slow wave power, healthy aging and cognitive performance
- (2014) Eleni L. Vlahou et al. Scientific Reports
- Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding
- (2013) Carlo Vittorio Cannistraci et al. BIOINFORMATICS
- Patients with Persistent Pain after Breast Cancer Treatment Show Enhanced Alpha Activity in Spontaneous EEG
- (2013) Emanuel N. van den Broeke et al. PAIN MEDICINE
- Psychological Screening/Phenotyping as Predictors for Spinal Cord Stimulation
- (2012) Claudia M. Campbell et al. Current Pain and Headache Reports
- Resilience in migraine brains: decrease of coherence after photic stimulation
- (2012) Mayara Mendonça-de-Souza et al. Frontiers in Human Neuroscience
- Brain EEG activity correlates of chronic pain in persons with spinal cord injury: clinical implications
- (2012) M P Jensen et al. SPINAL CORD
- Decoding an Individual's Sensitivity to Pain from the Multivariate Analysis of EEG Data
- (2011) E. Schulz et al. CEREBRAL CORTEX
- Phase–amplitude coupling between theta and gamma oscillations during nociception in rat electroencephalography
- (2011) Jing Wang et al. NEUROSCIENCE LETTERS
- Measuring Phase-Amplitude Coupling Between Neuronal Oscillations of Different Frequencies
- (2010) Adriano B. L. Tort et al. JOURNAL OF NEUROPHYSIOLOGY
- The pain matrix reloaded
- (2010) Valéry Legrain et al. PROGRESS IN NEUROBIOLOGY
- Interictal quantitative EEG in migraine: a blinded controlled study
- (2009) Marte Helene Bjørk et al. JOURNAL OF HEADACHE AND PAIN
- Towards a theory of chronic pain
- (2008) A. Vania Apkarian et al. PROGRESS IN NEUROBIOLOGY
- High thalamocortical theta coherence in patients with neurogenic pain
- (2007) Johannes Sarnthein et al. NEUROIMAGE
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started