OSCR

Human intracranial signal stability tracks anatomical accuracy after electrode reimplantation.

Overview

Authors: Ryan B Leriche1,2,3, Thomas A Wozny2, Jeremy Saal2,3, Julian C Motzkin3,4,5, Kristin K Sellers2,3, Philip A Starr2,3, Edward F Chang2,3, Prasad Shirvalkar2,3,4,5
ORCID iDs: Ryan B Leriche, Jeremy Saal, Julian C Motzkin, Kristin K Sellers, Edward F Chang, Prasad Shirvalkar
  1. Medical Scientist Training Program, University of Minnesota, Minneapolis, MN, United States of America
  2. Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States of America
  3. Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States of America
  4. Department of Neurology, University of California, San Francisco, San Francisco, CA, United States of America
  5. Department of Anesthesiology (Division of Pain Management), University of California, San Francisco, San Francisco, CA, United States of America
Institutions: University of Minnesota (United States); University of California, San Francisco (United States)
Journal: Journal of neural engineering, volume 23, issue 4, article 046019
Dates: received 15 December 2025; accepted 22 June 2026; published online 14 July 2026; in print 1 August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1088/1741-2552/ae805e · PMID 42330982 · PMCID PMC13365862 · OpenAlex W7165578236
Open access: hybrid, a free copy (OpenAlex)
Status: data only
Categories: EEG (modality), extracellular electrophysiology (units, LFP) (modality), intracranial EEG (iEEG / ECoG / SEEG) (modality), human (organism)
Methods: Spectral & time-frequency, Preprocessing, Statistics, Connectivity
Keywords: deep brain stimulation, stereoelectroencephalography, neuropsychiatric disorders, personalized medicine, functional neurosurgery
MeSH: Brain*, Deep Brain Stimulation*, Electrodes, Implanted*, Adult, Electroencephalography, Female, Humans, Local Field Potential Measurement, Male, Middle Aged (* major topic)
Topic: Neurological disorders and treatments (Neurology, Medicine), according to OpenAlex
Funding: NIH (UH3NS109556, UH3NS115631)
Citations: not cited yet (Europe PMC); 47 references in the paper

Abstract

Objective. Deep brain stimulation (DBS) for neuropsychiatric disorders increasingly relies on patient personalized approaches. One strategy to identify viable targets for personalized stimulation and biomarker detection uses a temporary, inpatient stereoelectroencephalography (sEEG) trial to identify optimal targets for permanent re-implantation. However, this approach reasons that neural signals are stable between repeated intracranial electrode implants, which is not yet validated. Approach. We characterize the spectral stability of local field potentials after electrode reimplantation from an ongoing single-center clinical trial using two-staged sEEG/DBS for chronic pain (NCT04144972). Main results. Repeat neurosurgical implant of intracranial electrodes reliably targeted intended trajectories across staged surgeries occurring months apart (2.1 ± 1.2 mm Euclidean distance across 17 brain targets, 5 participants). Anatomical targeting error was correlated with differences in recorded electrophysiological power spectra between stages (r(15) = 0.51, p = 0.03). This correlation was stronger for the subset of regions re-targeted exclusively for biomarker sensing (r(6) = 0.73, p = 0.04), and non-significant for therapeutic stimulation sites (r(7) = .23, p = 0.76). Similarly, a multiple regression model significantly predicted spectral distance (F(4, 13) = 5.99, p = 0.008, adjusted r = 0.70) with an interaction between electrode type and Euclidean distance (t(13) = 2.39, p = 0.03). Significance. Chronic intracranial EEG (iEEG) signals recapitulated temporary recordings in 17 of 17 brain regions with the major spectral peak within 1 Hz. Our results demonstrate the temporal stability of neural signals across months and validate the use of a two-staged iEEG approach for chronic DBS sensing in humans.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none, so it has no map.

Data

Datasets cited

Data availability statement

The data that support the findings of this study will be openly available following an embargo at the following URL/DOI: https://doi.org/10.5061/dryad.8931zcs3r [47].

Supplementary staged-iEEG Figures available at: https://doi.org/10.1088/1741-2552/ae805e/data1.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 2, 28 September 2026

  • Publisher: n/a → IOP Publishing

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 5 keywords, 10 MeSH terms, 1 funder, 45 references.

Cite

This paper

Leriche, R. B., Wozny, T. A., Saal, J., Motzkin, J. C., Sellers, K. K., Starr, P. A., Chang, E. F., & Shirvalkar, P. (2026). Human intracranial signal stability tracks anatomical accuracy after electrode reimplantation. Journal of neural engineering, 23(4), 046019. https://doi.org/10.1088/1741-2552/ae805e

BibTeX

@article{leriche2026human,
author = {Leriche, Ryan B and Wozny, Thomas A and Saal, Jeremy and Motzkin, Julian C and Sellers, Kristin K and Starr, Philip A and Chang, Edward F and Shirvalkar, Prasad},
title = {{Human intracranial signal stability tracks anatomical accuracy after electrode reimplantation}},
journal = {Journal of neural engineering},
year = {2026},
month = jul,
volume = {23},
number = {4},
pages = {046019},
publisher = {IOP Publishing},
issn = {1741-2560},
doi = {10.1088/1741-2552/ae805e},
url = {https://doi.org/10.1088/1741-2552/ae805e},
pmid = {42330982},
pmcid = {PMC13365862}
}

RIS

TY - JOUR
AU - Leriche, Ryan B
AU - Wozny, Thomas A
AU - Saal, Jeremy
AU - Motzkin, Julian C
AU - Sellers, Kristin K
AU - Starr, Philip A
AU - Chang, Edward F
AU - Shirvalkar, Prasad
TI - Human intracranial signal stability tracks anatomical accuracy after electrode reimplantation
T2 - Journal of neural engineering
J2 - J Neural Eng
PY - 2026
DA - 2026/07/14
VL - 23
IS - 4
SP - 046019
SN - 1741-2560
PB - IOP Publishing
DO - 10.1088/1741-2552/ae805e
UR - https://doi.org/10.1088/1741-2552/ae805e
LA - en
ER -

CSL-JSON

{
"id": "10.1088/1741-2552/ae805e",
"type": "article-journal",
"title": "Human intracranial signal stability tracks anatomical accuracy after electrode reimplantation",
"container-title": "Journal of neural engineering",
"author": [
{
"family": "Leriche",
"given": "Ryan B"
},
{
"family": "Wozny",
"given": "Thomas A"
},
{
"family": "Saal",
"given": "Jeremy"
},
{
"family": "Motzkin",
"given": "Julian C"
},
{
"family": "Sellers",
"given": "Kristin K"
},
{
"family": "Starr",
"given": "Philip A"
},
{
"family": "Chang",
"given": "Edward F"
},
{
"family": "Shirvalkar",
"given": "Prasad"
}
],
"container-title-short": "J Neural Eng",
"volume": "23",
"issue": "4",
"page": "046019",
"DOI": "10.1088/1741-2552/ae805e",
"PMID": "42330982",
"PMCID": "PMC13365862",
"ISSN": "1741-2560",
"publisher": "IOP Publishing",
"URL": "https://doi.org/10.1088/1741-2552/ae805e",
"language": "en",
"issued": {
"date-parts": [
[
2026,
7,
14
]
]
}
}

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1038/s41591-026-04434-2 [code]
Adaptive deep brain stimulation for dynamic gait control in Parkinson's disease: a randomized feasibility trial.
Journal: Nature medicine
In common: 4 references
[2] doi:10.1093/brain/awaf466 [code]
Cortico-basal oscillations index naturalistic movements during deep brain stimulation.
Journal: Brain : a journal of neurology
In common: intracranial EEG (iEEG / ECoG / SEEG), 2 references
[3] doi:10.1016/j.crmeth.2026.101481 [code]
A hybrid micro-ECoG for functionally targeted multi-site and multi-scale investigation.
Journal: Cell reports methods
In common: intracranial EEG (iEEG / ECoG / SEEG), extracellular electrophysiology (units, LFP), 2 references
[4] doi:10.3389/fncir.2026.1814667 [code]
A modular and flexible pipeline for intraoperative electrode reconstruction and localization in patients with brain lesions.
Journal: Frontiers in neural circuits
In common: intracranial EEG (iEEG / ECoG / SEEG), 2 references
[5] doi:10.3390/s26134019 [code]
NeuroStat: An Open-Source EEG Connectivity Platform for Randomised Controlled Trials.
Journal: Sensors (Basel, Switzerland)
In common: EEG, 3 references
[6] doi:10.1371/journal.pone.0353371 [code]
Inter-brain functional connectivity: Are we measuring the right thing?
Journal: PloS one
In common: EEG, 2 references
[7] doi:10.64898/2026.08.12.26350419 [code]
Volitional deep brain stimulation following brain-computer interface training for Parkinson’s disease
Journal: medRxiv (preprint)
In common: 2 references
[8] doi:10.1117/1.nph.12.2.025011 [code]
NIRSTORM: a Brainstorm extension dedicated to functional near-infrared spectroscopy data analysis, advanced 3D reconstructions, and optimal probe design
Journal: n/a
In common: EEG, 3 references
[9] doi:10.1038/s41591-026-04432-4 [code]
Activity-dependent adaptive deep brain stimulation improves gait in Parkinson's disease.
Journal: Nature medicine
In common: 2 references
[10] doi:10.1038/s41467-026-75826-8
Transcranial focused ultrasound modulates spiking, LFP, and BOLD activity in the primate thalamus.
Journal: Nature communications
In common: extracellular electrophysiology (units, LFP), 2 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.

Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.