Machine-Learning Based EEG Biomarkers for Personalized Interventions
EEG-INSIGHT
1 other identifier
observational
58
1 country
1
Brief Summary
The goal of this observational study is to develop a machine learning model to predict the outcome of a transcranial direct current stimulation (tDCS) treatment in patients suffering from neuropathic pain derived from a spinal cord injury. The main question it aims to answer is:
- Can electroencephalography (EEG) and clinical assessment data predict the success of tDCS treatment in neuropathic pain patients? Participants will:
- Undergo EEG recording sessions to collect brain activity data before treatment.
- Complete clinical assessments, including medical diagnostics and questionnaires focused on factors related to neuropathic pain before and after treatment.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Oct 2023
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 5, 2023
CompletedFirst Submitted
Initial submission to the registry
June 11, 2024
CompletedFirst Posted
Study publicly available on registry
July 31, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 7, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
November 7, 2025
CompletedJuly 31, 2024
July 1, 2024
2.1 years
June 11, 2024
July 30, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Patient Improvement as assessed by a composite score
Composite Score Breakdown: Neuropathic Pain Symptom Inventory (NPSI) Items: * Constant pain intensity: Questions 1, 2, 3, 11, 12 (sum) * Constant pain persistence/frequency: Question 4 * Pain crisis intensity: Questions 5, 6 (sum) * Pain crisis frequency: Question 7 * Allodynia: Questions 8, 9, 10 (sum) Criteria: * Numerical NPSI items are only used where pre-treatment pain ratings are 4/10 or higher. * Responder: Any NPSI item shows a 50% or larger reduction. Brief Pain Inventory (BPI) Items: * Pain Interference: Questions 3a - 3g (average) Criteria: * Responder: 30% improvement or more. Summary: A subject is considered a responder if BOTH of these conditions are met: 1. Improvement of 50% or more in pain intensity or frequency (NPSI). 2. Improvement of 30% or more in pain interference (BPI).
After tDCS treatment (compared to score before tDCS treatment)
Study Arms (1)
NP Subjects
Subjects suffering from NP pain after an SCI. Will receive a tDCS treatment.
Interventions
The treatment follows an approved neuromodulation protocol at our center (approved on Nov. 4 2021, valid until Nov. 4 2024). tDCS will be administered with a battery-powered DC stimulator (Sooma tDCS, Helsinki, Finland), using saline-saturated circular electrodes with a diameter of 6 cm². The anode will be positioned over C3 to stimulate the primary motor cortex (M1), and the cathode over the contralateral supraorbital area (FP2). For asymmetric pain, stimulation targets the M1 contralateral to the more painful side, and for symmetric pain, the dominant hemisphere (C3) is stimulated. The maximum current is 2 mA (current density: 0.06 mA/cm²). Each session lasts 30 minutes, conducted daily for two weeks (Monday to Friday), totaling 10 sessions. All stimulation parameters adhere to general safety guidelines for transcranial electrical stimulation (Bikson et al., 2016).
64-channel active-electrode EEG with impedances kept \~5KOhm
Eligibility Criteria
Patients with spinal cord injury (SCI) suffering from neuropathic pain (NP).
You may qualify if:
- Age: Over 18 years old.
- Neuropathic Pain (NP): Subacute NP at or below the lesion level for at least 1 month following spinal cord injury or disease. Persistent NP is defined as pain in an area of sensory abnormality corresponding to the spinal cord injury according to international criteria (Bryce et al. 2012). The pain should not be primarily related to spasms or any other movement.
- Pain Intensity: At least 4 out of 10 on the Numerical Rating Scale (NRS) at the time of screening (rated during the previous 24 hours).
- Pharmacological Treatment: Stable treatment including antiepileptic, antidepressant, or antispastic drugs (Gabapentin (GBP) with a minimum dose of 900 mg/day, Pregabalin (PGB) with a minimum dose of 150 mg/day, Amitriptyline with a minimum dose of 25 mg/day). No dose changes for at least 2 weeks prior to treatment and no additional antiepileptic medication. The pharmacological regimen must be maintained without changes during the 10-day stimulation period and until the electrophysiological measurement. It is recommended to keep the regimen stable until the completion of the following two evaluations (4 and 12 weeks after the end of treatment). Only paracetamol or anti-inflammatory drugs are allowed as rescue treatment.
You may not qualify if:
- Patients with severe pain (NRS \> 7) from other sources, such as musculoskeletal pain, inflammatory pain, or cancer-related pain.
- Subjects with traumatic brain injury.
- Subjects with alcohol abuse.
- Subjects with neurological diseases other than the specified spinal cord injury.
- Subjects with substance abuse.
- Subjects with any other chronic medical condition where transcranial tDCS is relatively contraindicated, such as pregnancy or epilepsy.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Institut Guttmannlead
- Castellers de la Vila de Gràciacollaborator
Study Sites (1)
Institut Guttmann
Badalona, Barcelona, 08196, Spain
Related Publications (6)
Gewandter JS, McDermott MP, Evans S, Katz NP, Markman JD, Simon LS, Turk DC, Dworkin RH. Composite outcomes for pain clinical trials: considerations for design and interpretation. Pain. 2021 Jul 1;162(7):1899-1905. doi: 10.1097/j.pain.0000000000002188. No abstract available.
PMID: 33449513BACKGROUNDBikson M, Grossman P, Thomas C, Zannou AL, Jiang J, Adnan T, Mourdoukoutas AP, Kronberg G, Truong D, Boggio P, Brunoni AR, Charvet L, Fregni F, Fritsch B, Gillick B, Hamilton RH, Hampstead BM, Jankord R, Kirton A, Knotkova H, Liebetanz D, Liu A, Loo C, Nitsche MA, Reis J, Richardson JD, Rotenberg A, Turkeltaub PE, Woods AJ. Safety of Transcranial Direct Current Stimulation: Evidence Based Update 2016. Brain Stimul. 2016 Sep-Oct;9(5):641-661. doi: 10.1016/j.brs.2016.06.004. Epub 2016 Jun 15.
PMID: 27372845BACKGROUNDZhdanov A, Atluri S, Wong W, Vaghei Y, Daskalakis ZJ, Blumberger DM, Frey BN, Giacobbe P, Lam RW, Milev R, Mueller DJ, Turecki G, Parikh SV, Rotzinger S, Soares CN, Brenner CA, Vila-Rodriguez F, McAndrews MP, Kleffner K, Alonso-Prieto E, Arnott SR, Foster JA, Strother SC, Uher R, Kennedy SH, Farzan F. Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression. JAMA Netw Open. 2020 Jan 3;3(1):e1918377. doi: 10.1001/jamanetworkopen.2019.18377.
PMID: 31899530BACKGROUNDVuckovic A, Gallardo VJF, Jarjees M, Fraser M, Purcell M. Prediction of central neuropathic pain in spinal cord injury based on EEG classifier. Clin Neurophysiol. 2018 Aug;129(8):1605-1617. doi: 10.1016/j.clinph.2018.04.750. Epub 2018 May 23.
PMID: 29886266BACKGROUNDMussigmann T, Bardel B, Lefaucheur JP. Resting-state electroencephalography (EEG) biomarkers of chronic neuropathic pain. A systematic review. Neuroimage. 2022 Sep;258:119351. doi: 10.1016/j.neuroimage.2022.119351. Epub 2022 Jun 2.
PMID: 35659993BACKGROUNDMari T, Henderson J, Maden M, Nevitt S, Duarte R, Fallon N. Systematic Review of the Effectiveness of Machine Learning Algorithms for Classifying Pain Intensity, Phenotype or Treatment Outcomes Using Electroencephalogram Data. J Pain. 2022 Mar;23(3):349-369. doi: 10.1016/j.jpain.2021.07.011. Epub 2021 Aug 21.
PMID: 34425248BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Dolors Soler, PhD
Institut Guttmann
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- PhD, Principal Investigator
Study Record Dates
First Submitted
June 11, 2024
First Posted
July 31, 2024
Study Start
October 5, 2023
Primary Completion
November 7, 2025
Study Completion
November 7, 2025
Last Updated
July 31, 2024
Record last verified: 2024-07