OSCR

Loss of regional theta differentiation in TMS-EEG response marks network dysfunction in psychosis risk.

Overview

Authors: Nadja Zimmermann1,2,3, Matthias Liebrand2, Chantal Michel2, Miriam Stüble2,3, Arndt-Lukas Klaassen1,2, Eva Burkhardt2, Roland Wiest4, Michael Kaess2, Jochen Kindler2,5, Yosuke Morishima1
  1. Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
  2. University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
  3. Graduate School for Health Sciences, University of Bern, Bern, Switzerland
  4. University Institute of Diagnostic and Interventional Neuroradiology, Inselspital Bern, Bern, Switzerland
  5. Child and Adolescent Psychiatry Baselland, Liestal, Switzerland
Institutions: University of Bern (Switzerland); University Hospital of Bern (Switzerland); Psychiatry Baselland (Switzerland)
Journal: Translational psychiatry, volume 16, issue 1, article 255
Dates: received 15 August 2025; accepted 30 March 2026; published online 10 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41398-026-04030-5 · PMID 41963308 · PMCID PMC13184105 · OpenAlex W7153221257
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: EEG (modality), other (modality), human (organism), schizophrenia / psychosis (population), clinical / translational (subfield)
Methods: Spectral & time-frequency, Statistics, Preprocessing, Evoked potentials, Connectivity
Keywords: Schizophrenia, Diagnostic markers
MeSH: Nerve Net*, Parietal Lobe*, Psychotic Disorders*, Theta Rhythm*, Transcranial Magnetic Stimulation*, Adolescent, Adult, Case-Control Studies, Dorsolateral Prefrontal Cortex, Electroencephalography, Female, Humans, Male, Prefrontal Cortex, Prodromal Symptoms, Young Adult (* major topic)
Topic: Transcranial Magnetic Stimulation Studies (Neurology, Neuroscience), according to OpenAlex
Funding: Swiss National Science Foundation (192623, 32003B_192623)
Citations: not cited yet (Europe PMC); 79 references in the paper

Abstract

The clinical high-risk state for psychosis (CHR-P) aims to identify individuals in a potential prodromal phase of the disorder. Brain network dysconnectivity is believed to underlie psychotic disorders and has been studied using concurrent transcranial magnetic stimulation (TMS) and electroencephalography (EEG). However, such data is not yet available for individuals in the CHR-P state. Single-pulse TMS was applied to the left dorsolateral prefrontal cortex (lDLPFC), left posterior parietal cortex (lPPC), and dorsomedial prefrontal cortex (DMPFC) while measuring EEG. Time-frequency data in the gamma and theta bands were investigated in 58 healthy controls (HC) and 44 CHR-P individuals, testing for differences between stimulations sites and associations with psychopathology and neurocognition. We observed a differentiated response to TMS based on stimulation sites in the theta band in the HC group, with the strongest response being after lDLPFC stimulation, followed by lPPC and DMPFC. This differentiation was absent in CHR-P patients. The increased theta response after lPPC and DMPFC stimulation was negatively correlated with unusual thought content, while the response to lPPC and lDLPFC stimulation was negatively correlated with avolition, decreased experience of emotion, and deterioration in role functioning. Generally, no differences were found for gamma power. The absence of a differentiated theta response to TMS in CHR-P suggests the loss of functional specialization of the stimulated regions and their connections. Because of the inverse relationship between theta oscillations and psychopathological symptoms, we propose that this may represent a compensatory mechanism in the CHR-P state.

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

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

Code availability

All code used to generate results in this paper can be made available upon reasonable request to the authors. Software versions are reported above.

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

Tracing map

A tracing map links a paper to the code its authors published: this paper has none (its code is available on request), so it has no map.

Data

No dataset and no data link were found in the paper.

Data availability

Data supporting the findings of this study are available from the corresponding author, upon reasonable request.

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 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 2 keywords, 16 MeSH terms, 1 funder, 69 references.

Cite

This paper

Zimmermann, N., Liebrand, M., Michel, C., Stüble, M., Klaassen, A.-L., Burkhardt, E., Wiest, R., Kaess, M., Kindler, J., & Morishima, Y. (2026). Loss of regional theta differentiation in TMS-EEG response marks network dysfunction in psychosis risk. Translational psychiatry, 16(1), 255. https://doi.org/10.1038/s41398-026-04030-5

BibTeX

@article{zimmermann2026loss,
author = {Zimmermann, Nadja and Liebrand, Matthias and Michel, Chantal and Stüble, Miriam and Klaassen, Arndt-Lukas and Burkhardt, Eva and Wiest, Roland and Kaess, Michael and Kindler, Jochen and Morishima, Yosuke},
title = {{Loss of regional theta differentiation in TMS-EEG response marks network dysfunction in psychosis risk}},
journal = {Translational psychiatry},
year = {2026},
month = apr,
volume = {16},
number = {1},
pages = {255},
publisher = {Nature Publishing Group},
issn = {2158-3188},
doi = {10.1038/s41398-026-04030-5},
url = {https://doi.org/10.1038/s41398-026-04030-5},
pmid = {41963308},
pmcid = {PMC13184105}
}

RIS

TY - JOUR
AU - Zimmermann, Nadja
AU - Liebrand, Matthias
AU - Michel, Chantal
AU - Stüble, Miriam
AU - Klaassen, Arndt-Lukas
AU - Burkhardt, Eva
AU - Wiest, Roland
AU - Kaess, Michael
AU - Kindler, Jochen
AU - Morishima, Yosuke
TI - Loss of regional theta differentiation in TMS-EEG response marks network dysfunction in psychosis risk
T2 - Translational psychiatry
J2 - Transl Psychiatry
PY - 2026
DA - 2026/04/10
VL - 16
IS - 1
SP - 255
SN - 2158-3188
PB - Nature Publishing Group
DO - 10.1038/s41398-026-04030-5
UR - https://doi.org/10.1038/s41398-026-04030-5
LA - en
ER -

CSL-JSON

{
"id": "10.1038/s41398-026-04030-5",
"type": "article-journal",
"title": "Loss of regional theta differentiation in TMS-EEG response marks network dysfunction in psychosis risk",
"container-title": "Translational psychiatry",
"author": [
{
"family": "Zimmermann",
"given": "Nadja"
},
{
"family": "Liebrand",
"given": "Matthias"
},
{
"family": "Michel",
"given": "Chantal"
},
{
"family": "Stüble",
"given": "Miriam"
},
{
"family": "Klaassen",
"given": "Arndt-Lukas"
},
{
"family": "Burkhardt",
"given": "Eva"
},
{
"family": "Wiest",
"given": "Roland"
},
{
"family": "Kaess",
"given": "Michael"
},
{
"family": "Kindler",
"given": "Jochen"
},
{
"family": "Morishima",
"given": "Yosuke"
}
],
"container-title-short": "Transl Psychiatry",
"volume": "16",
"issue": "1",
"page": "255",
"DOI": "10.1038/s41398-026-04030-5",
"PMID": "41963308",
"PMCID": "PMC13184105",
"ISSN": "2158-3188",
"publisher": "Nature Publishing Group",
"URL": "https://doi.org/10.1038/s41398-026-04030-5",
"language": "en",
"issued": {
"date-parts": [
[
2026,
4,
10
]
]
}
}

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:10.1162/imag.a.1276 [code]
High-resolution whole-brain magnetic resonance spectroscopic imaging in youth at risk for psychosis.
Journal: Imaging neuroscience (Cambridge, Mass.)
In common: schizophrenia / psychosis, clinical / translational, 3 references
[2] doi:10.1038/s41398-026-04072-9 [code]
Myo-inositol concentration in the medial prefrontal cortex is associated with changes in brain white matter microstructure in early psychosis.
Journal: Translational psychiatry
In common: schizophrenia / psychosis, 3 references
[3] doi:10.1002/hbm.70624 [code]
Exploring the Sensitivity Limits of Neuronal Current Imaging With MRI and MEG in the Human Brain.
Journal: Human brain mapping
In common: author Roland Wiest
[4] doi:10.1002/hbm.70560
Mitigating the Impact of MR Sequence Parameters: Increasing the Robustness of DL-Based Cortical Thickness Estimates.
Journal: Human brain mapping
In common: author Roland Wiest
[5] doi:10.1162/imag.a.1356
Sources of the N15 TMS-evoked potential following motor cortex stimulation localize rostrals to TMS-induced electric fields and depend on dose.
Journal: Imaging neuroscience (Cambridge, Mass.)
In common: other, EEG, 3 references
[6] doi:10.1038/s41537-026-00761-y [code]
The role of fear learning in the development of psychosis: an EEG study utilizing a differential fear conditioning paradigm in people with psychotic vulnerability.
Journal: Schizophrenia (Heidelberg, Germany)
In common: schizophrenia / psychosis, EEG, clinical / translational, 2 references
[7] doi:10.1038/s41380-026-03641-0
Cerebral cortical alterations in adolescent early-onset psychosis: a surface-based morphometry mega-analysis.
Journal: Molecular psychiatry
In common: schizophrenia / psychosis, 2 references
[8] doi:10.1162/imag.a.1147 [code]
The Virtual Brain links transcranial magnetic stimulation evoked potentials and inhibitory neurotransmitter changes in major depressive disorder.
Journal: Imaging neuroscience (Cambridge, Mass.)
In common: other, 2 references
[9] doi:10.1523/eneuro.0346-25.2026 [code]
Effects of TMS on the Decoding and Electrophysiology of Priority in Working Memory.
Journal: eNeuro
In common: other, EEG, 2 references
[10] doi:10.1186/s13040-026-00560-2
Adaptive drift-aware multi-stage deep learning framework for EEG-based schizophrenia diagnosis.
Journal: BioData mining
In common: schizophrenia / psychosis, EEG, clinical / translational, 1 reference

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.