Evidence map›Paper›PMID 40185725›Full record

ArticleNature communications2025

Stimulation mapping and whole-brain modeling reveal gradients of excitability and recurrence in cortical networks.

Davide Momi, Zheng Wang, Sara Parmigiani, Ezequiel Mikulan, Sorenza P Bastiaens, Mohammad P Oveisi, Kevin Kadak, Gianluca Gaglioti, Allison C Waters, Sean Hill and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  6. Review
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  11. cuBNM: GPU-Accelerated Brain Network Modeling.bioRxiv : the preprint server for biology · 2025
    Article
  12. Altered cortical excitability in tuberous sclerosis and the effect of mTOR inhibitors: An intracranial electrical stimulation study.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Davide Momi *Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, Canada. momi.davide89@gmail.com.ORCID http://orcid.org/0000-0001-6048-8296
Zheng Wang *Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, Canada.
Sara ParmigianiDepartment of Psychiatry and Behavioral Sciences, Stanford University Medical Center, Stanford, CA, USA.
Ezequiel MikulanDepartment of Health Sciences, Università degli studi di Milano, Milan, Italy.ORCID http://orcid.org/0000-0001-7259-6120
Sorenza P BastiaensKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, Canada.ORCID http://orcid.org/0009-0008-6665-1419
Mohammad P OveisiKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, Canada.
Kevin KadakKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, Canada.ORCID http://orcid.org/0000-0002-5577-3209
Gianluca GagliotiDepartment of Biomedical and Clinical Sciences "L.Sacco", Università degli Studi di Milano, Milan, Italy.ORCID http://orcid.org/0009-0004-7420-7968
Allison C WatersNash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-6374-3712
Sean HillKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, Canada.ORCID http://orcid.org/0000-0001-8055-860X
Andrea PigoriniDepartment of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, Milan, Italy.ORCID http://orcid.org/0000-0002-1856-3413
Corey J KellerDepartment of Psychiatry and Behavioral Sciences, Stanford University Medical Center, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0529-3490
John D GriffithsKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, Canada.

Funding

Electrophysiological Biomarkers to Optimize DBS for DepressionUH3NS103550 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MAYBERG, HELEN S, RIVA-POSSE, PATRICIO · 2017 to 2023
$7.7M
NINDS NIH HHS UH3 NS103550
6 · The paper itself

Abstract

The human brain exhibits a modular and hierarchical structure, spanning low-order sensorimotor to high-order cognitive/affective systems. What is the mechanistic significance of this organization for brain dynamics and information processing properties? We investigated this question using rare simultaneous multimodal electrophysiology (stereotactic and scalp electroencephalography - EEG) recordings in 36 patients with drug-resistant focal epilepsy during presurgical intracerebral electrical stimulation (iES) (323 stimulation sessions). Our analyses revealed an anatomical gradient of excitability across the cortex, with stronger iES-evoked EEG responses in high-order compared to low-order regions. Mathematical modeling further showed that this variation in excitability levels results from a differential dependence on recurrent feedback from non-stimulated regions across the anatomical hierarchy, and could be extinguished by suppressing those connections in-silico. High-order brain regions/networks thus show an activity pattern characterized by more inter-network functional integration than low-order ones, which manifests as a spatial gradient of excitability that is emergent from, and causally dependent on, the underlying hierarchical network structure. These findings offer new insights into how hierarchical brain organization influences cognitive functions and could inform strategies for targeted neuromodulation therapies.

Indexed as

BrainBrain MappingCerebral CortexDrug Resistant EpilepsyNerve NetAdolescentAdultElectric StimulationElectroencephalographyEpilepsies, PartialFemaleHumansMaleMiddle AgedModels, NeurologicalYoung Adult

Identifiers

PMID40185725
PMCPMC11971347

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.