Electroencephalography (EEG) has been used to investigate cortical mechanisms involved in pain, to diagnose pain conditions, and to monitor therapeutic outcomes. The purpose of this systematic review is to determine if EEG has been validated for use in the investigation of the mechanisms, diagnosis, and monitoring of therapeutic indices involving changes in chronic pain. Materials and Methods: A literature search was conducted of Embase, Medline, PubMed, Web of Science, and Scopus databases using the search keywords chronic, pain, and EEG, from all publication dates. This review includes only publications in English, and studies done on human subjects. Randomized Controlled Trials (RCTs) were included in the final sample if they displayed d...
Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroenceph...
OBJECTIVE: This study aimed to investigate reliability of electroencephalography (EEG) during rest a...
Objectively and accurately assessing pain in clinical settings is challenging. Previous studies show...
[eng] The main objective of this study is to review and summarize recent findings on electroencephal...
BACKGROUND: Electroencephalographic (EEG) neurofeedback has been utilized to regulate abnormal brain...
Background. With its high temporal resolution, electroencephalography (EEG), a technique that record...
INTRODUCTION: The universality and complexity of pain, which is highly prevalent, yield its signific...
Background Electroencephalographic (EEG) neurofeedback has been utilized to regulate abnormal bra...
This study examined quantitative EEGs of six individuals with chronic pain and compared them to an a...
Background and Aim Identifying EEG brain markers might yield better mechanistic insights into how ch...
Background: Many researchers have tried to investigate pain by studying brain responses. One method ...
Spinal cord stimulation (SCS), an alternative non-opioid treatment for chronic pain, is a cost-effec...
Objectives: Several recent studies report the presence of a specific EEG pattern named Thalamocortic...
BACKGROUND:Chronic pain is a global health problem, affecting around 1 in 5 individuals in the gener...
Chronic pain is a common and severely disabling disease whose treatment is often unsatisfactory. Ins...
Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroenceph...
OBJECTIVE: This study aimed to investigate reliability of electroencephalography (EEG) during rest a...
Objectively and accurately assessing pain in clinical settings is challenging. Previous studies show...
[eng] The main objective of this study is to review and summarize recent findings on electroencephal...
BACKGROUND: Electroencephalographic (EEG) neurofeedback has been utilized to regulate abnormal brain...
Background. With its high temporal resolution, electroencephalography (EEG), a technique that record...
INTRODUCTION: The universality and complexity of pain, which is highly prevalent, yield its signific...
Background Electroencephalographic (EEG) neurofeedback has been utilized to regulate abnormal bra...
This study examined quantitative EEGs of six individuals with chronic pain and compared them to an a...
Background and Aim Identifying EEG brain markers might yield better mechanistic insights into how ch...
Background: Many researchers have tried to investigate pain by studying brain responses. One method ...
Spinal cord stimulation (SCS), an alternative non-opioid treatment for chronic pain, is a cost-effec...
Objectives: Several recent studies report the presence of a specific EEG pattern named Thalamocortic...
BACKGROUND:Chronic pain is a global health problem, affecting around 1 in 5 individuals in the gener...
Chronic pain is a common and severely disabling disease whose treatment is often unsatisfactory. Ins...
Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroenceph...
OBJECTIVE: This study aimed to investigate reliability of electroencephalography (EEG) during rest a...
Objectively and accurately assessing pain in clinical settings is challenging. Previous studies show...