Evidence map›Paper›PMID 42497215›Full record

ArticlePLoS computational biology2026

Single pulse electrical stimulation in white matter modulates iEEG visual responses in human early visual cortex.

Harvey Huang, Kendrick N Kay, Nicholas M Gregg, Gabriela Ojeda Valencia, Myung-Ho In, Christoph Kapeller, Yunhong Shu, Gregory A Worrell, Kai J Miller, Dora Hermes

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Harvey HuangMedical Scientist Training Program, Mayo Clinic, Rochester, Minnesota, United States of America.ORCID https://orcid.org/0000-0002-0540-697X
Kendrick N KayCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, United States of America.ORCID https://orcid.org/0000-0001-6604-9155
Nicholas M GreggDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, United States of America.
Gabriela Ojeda ValenciaDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, United States of America.
Myung-Ho InDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, United States of America.
Christoph KapellerInvasive Technologies, g.tec medical engineering GmbH, Schiedlberg, Austria.ORCID https://orcid.org/0000-0002-7330-895X
Yunhong ShuDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, United States of America.
Gregory A WorrellDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, United States of America.
Kai J MillerDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, United States of America.
Dora HermesDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, United States of America.ORCID https://orcid.org/0000-0002-8683-8909

Funding

MSTP at Mayo Clinic RochesterT32GM145408 · NIGMS · MAYO CLINIC ROCHESTER · PI SCOTT H KAUFMANN, LISA A SCHIMMENTI · 2023 to 2026
$4.7M
An Ecosystem of Technology and Protocols for Adaptive Neuromodulation Research in HumansU01NS128612 · NINDS · MAYO CLINIC ROCHESTER · PI Peter Brunner, Kai Miller · 2022 to 2026
$4.5M
Electrical stimulation to control feedback modulation of perceptionR01EY035533 · NEI · MAYO CLINIC ROCHESTER · PI Dora Hermes, Kendrick Norris Kay · 2023 to 2026
$2.2M
CRCNS: Processing speed in the human connectome across the lifespanR01MH122258 · NIMH · MAYO CLINIC ROCHESTER · PI HERMES, DORA · 2019 to 2023
$1.8M
NEI NIH HHS R01 EY035533NIGMS NIH HHS T32 GM145408NIMH NIH HHS R01 MH122258NINDS NIH HHS U01 NS128612
6 · The paper itself

Abstract

introductionElectrical stimulation is increasingly used to modulate brain networks for clinical purposes. The basic unit of neurostimulation, a single electrical pulse, can travel through white matter to influence connected neuronal populations. However, the mechanisms by which it influences connected populations is not well understood: stimulation may excite, inhibit, or add noise to neuronal population activity. MATERIALS AND

methodsIn this study, we investigated how single pulses modulate the neuronal processing of images in a well-controlled visual paradigm. In two human subjects implanted with iEEG electrodes for clinical purposes, single pulses were delivered to electrodes in white matter tracts connected to measurement electrodes in visual cortex. Images appeared on-screen at 0, 100, or 200 ms after each pulse. Using finite impulse response modeling, we decomposed the broadband and evoked potential responses into separate components induced by electrical stimulation and by visual processing.

resultsSingle pulses induced transient broadband increases followed by suppression, but they did not modulate the visual broadband responses (i.e., stimulation response was additive to visual response). In contrast, single pulses elicited prominent brain stimulation evoked potentials and they modulated the visual evoked potentials. Specifically, visual evoked potentials were larger when stimulation occurred closer to visual onset. This indicates that a single electrical pulse can increase the strength or synchrony of visual inputs.

conclusionOverall, these findings suggest that the effects of electrical stimulation in the visual system are two-fold: stimulation induces additive effects on broadband power, possibly by adding noise, and it interacts with synchronous visual inputs to amplify them.

Indexed as

Electric StimulationEvoked Potentials, VisualVisual CortexWhite MatterAdultComputational BiologyElectroencephalographyFemaleHumansMalePhotic Stimulation

Identifiers

PMID42497215
PMCPMC13426923

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.