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Personalizing neuromodulation for chronic pain: A connectivity-guided randomized trial

Overview

Authors: Enrico De Martino1, Margit Midtgaard Bach1, Bruno Nascimento Couto1, Anne Jakobsen1, Pedro Nascimento Martins2, Stian Ingemann-Molden1, Adenauer G. Casali3, Thomas Graven-Nielsen1, Daniel Ciampi de Andrade1
  1. Center for Neuroplasticity and Pain (CNAP), Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark
  2. Federal University of Juiz de Fora, Juiz de Fora, Brazil
  3. Institute of Science and Technology, Federal University of São Paulo, São Paulo, Brazil
Dates: published online 4 March 2026
Type: Preprint · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.64898/2026.03.02.26347430 · OpenAlex W7133484539
Open access: green, a free copy (OpenAlex)
Status: empty repository
Categories: human (organism), pain (population), clinical / translational (subfield)
Methods: Spectral & time-frequency, Connectivity, Smoothing, state filtering, decompositions, Machine learning, Statistics, Preprocessing, Evoked potentials
Keywords: Non-invasive cortical stimulation, neuromodulation, cortical connectivity, biomarkers of treatment response, precision medicine, neuropathic pain, nociplastic pain, nociceptive pain
Topic: Transcranial Magnetic Stimulation Studies (Neurology, Neuroscience), according to OpenAlex
Funding: National Research Foundation (DNRF121); Danmarks Grundforskningsfond (DNRF121); Lundbeckfonden; Novo Nordisk (NNF21OC0072828); Novo Nordisk Fonden (NNF21OC0072828); H. Lundbeck A/S; HORIZON EUROPE Framework Programme
Citations: not cited yet (Europe PMC); 69 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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OSF b2e8h

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Size: 1 file, 0 scripts
Software Heritage: not checked
Found in: the references
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)
At the source: osf.io/b2e8h/overview

Tracing map

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Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

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Data availability statement

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Read it in the paper: doi.org/10.64898/2026.03.02.26347430.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, dates, 9 authors, 8 keywords, 7 funders, 64 references.

Cite

This paper

De Martino, E., Bach, M. M., Couto, B. N., Jakobsen, A., Martins, P. N., Ingemann-Molden, S., Casali, A. G., Graven-Nielsen, T., & de Andrade, D. C. (2026). Personalizing neuromodulation for chronic pain: A connectivity-guided randomized trial. medRxiv (preprint). https://doi.org/10.64898/2026.03.02.26347430

BibTeX

@article{demartino2026personalizing,
author = {De Martino, Enrico and Bach, Margit Midtgaard and Couto, Bruno Nascimento and Jakobsen, Anne and Martins, Pedro Nascimento and Ingemann-Molden, Stian and Casali, Adenauer G. and Graven-Nielsen, Thomas and de Andrade, Daniel Ciampi},
title = {{Personalizing neuromodulation for chronic pain: A connectivity-guided randomized trial}},
journal = {medRxiv (preprint)},
year = {2026},
month = mar,
publisher = {medRxiv},
doi = {10.64898/2026.03.02.26347430},
url = {https://doi.org/10.64898/2026.03.02.26347430}
}

RIS

TY - JOUR
AU - De Martino, Enrico
AU - Bach, Margit Midtgaard
AU - Couto, Bruno Nascimento
AU - Jakobsen, Anne
AU - Martins, Pedro Nascimento
AU - Ingemann-Molden, Stian
AU - Casali, Adenauer G.
AU - Graven-Nielsen, Thomas
AU - de Andrade, Daniel Ciampi
TI - Personalizing neuromodulation for chronic pain: A connectivity-guided randomized trial
T2 - medRxiv (preprint)
J2 - medRxiv
PY - 2026
DA - 2026/03/04
PB - medRxiv
DO - 10.64898/2026.03.02.26347430
UR - https://doi.org/10.64898/2026.03.02.26347430
LA - en
ER -

CSL-JSON

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