Chronic Neuropathic Pain: EEG data in eyes open (5 min) and eyes closed (5 min) with questionnaire reports

Published: 2 March 2023| Version 4 | DOI: 10.17632/yj52xrfgtz.4


Thirty six chronic neuropathic pain patients (8 men and 28 women) of Mexican nationality with a mean age of 44±13.98 were recruited for EEG signal recording in eyes open and eyes closed condition. Each condition was recorded for 5 min, with a total recording session time of 10 min. An ID number was given to each patient after singing up for the study, with which they answered the Pain Detect questionnaire. All patients had: (1) age above 18 years old, (2) chronic NP for more than 3 months, (3) long-term pharmacological treatment for at least 4 weeks prior to the EEG recording, (4) absence of a major psychiatric disorder (i.e., schizophrenia, major depressive disorder, bipolar disorder), (5) absence of a neurological disorder (i.e., epilepsy, tinnitus), and (6) Total Score >12 points of Pain Detect Questionnaire (the questionnaire outcome was confirmed by the clinical history of the patient). Patients were allowed to continue with their medication. The type and frequency of the pharmacological treatment was the following. Eighteen patients (n=18) were taking centrally acting drugs for over a year, twelve patients (n=12) were not taking medication, three patients (n=3) were on cannabidiol derivatives, and three (n=3) took nonsteroidal anti-inflammatory drugs for pain attacks. The causes for NP in the studied sample were spinal cord injury (31%), peripheral neuropathy (22%), diabetes (17%), trigeminal neuralgia (8%), CNS disorder (8%), and other (14%). None of these patients had any type of acute or chronic pain other than NP (e.g., arthritis, migraine, fibromyalgia), a severe mental disorder, neurological disorder (beside NP), head trauma, cerebral infarct, or CNS tumor. This study was approved by the Ethics Committee of CEIC TecSalud with the following number: P000369-DN-RespElectro-CI-CR005. Description and objective: Chronic neuropathic pain is defined as “pain arising as a direct consequence of a lesion or disease affecting the somatosensory system" according to the International Association for the Study of Pain. When neuropathic pain becomes chronic (has a duration greater than 3 months), the neurons in the spinal cord and the brain respond with neuroplastic changes. Currently, there is a significant gap in chronic neuropathic pain research and clinical management, because characterization relies only on the subjective perception of the patient. To address the characterization gap, the principal objective of this study was to characterize the neuroplastic changes in neuronal oscillations for the different degrees of neuropathic pain severity using linear and non linear dynamics. This could be a method to achieve an objective characterization and monitoring of neuropathic pain patients, and ultimately lead to a better management of their disease.


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Recording session and EEG System Description: Ten minutes of spontaneous EEG data (5 min EO and 5 min EC) were recorded using the mBrain train cap of 24 Ag/AgCl electrodes (2 were mastoid electrodes) positioned according to the International 10/20 System. The communication type was wireless bluethooth v2.1. The amplifier in use was the Smarting mBrain. The input referred noise was less than 1 μV. The system has a resolution of 24 bits. The sampling frequency was 250 Hz, and the bandwidth was between 0.1 and 100Hz. Electrode impedances were kept below 5 kΩ. Right (M2) and left mastoid (M1) electrodes were used as ground electrodes and Cz as the reference electrode. Demographics and the answers to both questionnaires are provided in the excel. After signing written informed consent, patients sat in an upright position. The first five minutes, they were asked to keep their eyes opened and fixed on a white cross in a dark background of a monitor 50 cm away. At the end of the first 5 minutes, the cross disappeared, and patients closed their eyes for the last 5 minutes until a beep marked the end of the recording. Note: The datasets contain an extra five seconds at the beginning of each recording, it is recommended to use the signals starting from second five. If this dataset is used, please cite the questionnaires: [1] J. de Andrés, J. Pérez-Cajaraville, M.D. Lopez-Alarcón, J.M. López-Millán, C. Margarit, M.D. Rodrigo-Royo, M.L. Franco-Gay, D. Abejón, M.A. Ruiz, V. López-Gomez, M. Pérez, Cultural Adaptation and Validation of the painDETECT Scale Into Spanish, The Clinical Journal of Pain. 28 (2012) 243–253. [2] X. Badia, C. Muriel, A. Gracia, J. Manuel Núñez-Olarte, N. Perulero, R. Gálvez, J. Carulla, C. S. Cleeland, Validación española del cuestionario Brief Pain Inventory en pacientes con dolor de causa neoplásica, Medicina Clínica. 120 (2003) 52–59. [3] Â.K. Erdemoglu, R. Koc, Brief Pain Inventory score identifying and discriminating neuropathic and nociceptive pain, Acta Neurologica Scandinavica. (2013) n/a-n/a. [4] R. Freynhagen, R. Baron, U. Gockel, T.R. Tölle, painDETECT : a new screening questionnaire to identify neuropathic components in patients with back pain, Current Medical Research and Opinion. 22 (2006) 1911–1920. Published studies the dataset: Zolezzi DM, Maria Alonso-Valerdi L, Naal-Ruiz NE, Ibarra-Zarate DI. Identification of Neuropathic Pain Severity based on Linear and Non-Linear EEG Features. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:169-173. doi: 10.1109/EMBC46164.2021.9630101 PMID: 34891264 D.M. Zolezzi, L.M. Alonso-Valerdi, D.I Ibarra-Zarate, EEG frequency band analysis in chronic neuropathic pain: A linear and nonlinear approach to classify pain severity, Comput Methods Programs Biomed. 230 (2023) 107349.


Instituto Tecnologico y de Estudios Superiores de Monterrey


Severity of Illness Scoring, Electroencephalography, Chronic Pain, Neuropathic Pain