Evidence map›Paper›PMID 41282745›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Short-Term Modulation of Epileptic Network with Low-Frequency Thalamic Stimulation.

Sotaro Kanai, Atsuro Daida, Saarang Panchavati, Roshan Srinivasan, Tonmoy Monsoor, Joe X Qiao, Noriko Salamon, Raman Sankar, Aria Fallah, Jerome Engel and 4 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

14 authors.

Sotaro KanaiDivision of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, USA.ORCID 0000-0002-7320-2346
Atsuro DaidaDivision of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, USA.ORCID 0000-0003-1350-7700
Saarang PanchavatiDepartment of Radiological Sciences and Bioengineering, University of California, Los Angeles, CA, USA.ORCID 0000-0003-1658-0364
Roshan SrinivasanDivision of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, USA.
Tonmoy MonsoorDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, USA.
Joe X QiaoDepartment of Radiology, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, USA.
Noriko SalamonDepartment of Radiology, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, USA.ORCID 0000-0002-3520-9467
Raman SankarDivision of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, USA.ORCID 0000-0002-5609-0362
Aria FallahDepartment of Neurosurgery, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, USA.ORCID 0000-0001-9103-6145
Jerome EngelDepartment of Neurology, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, USA.ORCID 0000-0001-6324-5716
Richard J StabaDepartment of Neurology, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, USA.ORCID 0000-0003-2285-5627
Vwani RoychowdhuryDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, USA.ORCID 0000-0003-0832-6489
William SpeierDepartment of Radiological Sciences and Bioengineering, University of California, Los Angeles, CA, USA.ORCID 0000-0002-0890-8684
Hiroki NariaiDivision of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, USA.ORCID 0000-0002-8318-2924

Funding

Translational Platform for Epilepsy Therapy and Biomarker DiscoveryR01NS127524 · NINDS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Denes V. Agoston, LISA D COLES · 2022 to 2026
$11.0M
IN VIVO STUDIES OF THE EPILEPTIC HIPPOCAMPUSR01NS033310 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JEROME NONE ENGEL, Richard Staba · 1994 to 2026
$7.5M
Defining the Epileptogenic Network and Identifying Which Components Generate SeizuresR01NS106957 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Richard Staba · 2018 to 2026
$3.4M
Refining neurophysiological biomarkers of epilepsy using deep learning to guide pediatric epilepsy surgeryK23NS128318 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Hiroki Nariai · 2023 to 2026
$968k
NINDS NIH HHS K23 NS128318NINDS NIH HHS R01 NS033310NINDS NIH HHS R01 NS106957NINDS NIH HHS R01 NS127524
6 · The paper itself

Abstract

Thalamic neuromodulation is an emerging therapeutic strategy for patients in whom resection of the epileptogenic zone is not feasible. Yet the mechanisms by which thalamic stimulation modulates epileptogenic network dynamics remain unclear. We designed this study to test whether brief thalamic stimulation transiently modulates cortico-cortical activity and coupling within patient-specific epileptic networks. We studied 10 patients undergoing stereo-EEG with sampling of the anterior or centromedian thalamic nuclei. During wakefulness, we delivered low-frequency single pulse stimulations at 1 Hz and compared post-stimulation epochs (15-900 ms) with a pre-stimulation baseline. We quantified band-limited spectral power and Granger causality between bipolar cortical contacts, focusing on slow (3.0-13.9 Hz) and fast (14.0-79.9 Hz) activity. Contacts were grouped as seizure onset zone, early-propagating regions, or other regions, emphasizing the hemisphere ipsilateral to the stimulated nucleus. Thalamic stimulation produced a rapid, distributed modulation of cortical dynamics. Across patients, power in early-propagating regions decreased consistently in both slow and fast bands, whereas seizure onset zone and other regions showed smaller and less consistent changes, indicating reduced recruitment of cortical regions that often participate in seizure propagation. Directed interactions measured by Granger causality increased modestly at the network level, with the most consistent change between the seizure onset zone and other regions, and a significant increase in influence directed toward the seizure onset zone. These effects were observed with both nuclei despite heterogeneous implant strategies, suggesting a conserved, thalamus-initiated rebalancing of cortico-cortical coupling. Notably, when the anterior nucleus was stimulated in patients with limbic seizure onset zone, the power decrease in early-propagating regions and the increase in directed influence between the seizure onset zone and other regions were prominent, consistent with anterior thalamic projections to the limbic network. Taken together, these findings point to a rapid, nucleus-specific modulation that engages thalamic nodes while recruiting broader cortico-cortical influence toward the seizure onset zone. The sub-second markers-characterized by reduced power in early-propagating regions and selective increases in directed influence between seizure onset zone and other regions-support a model in which thalamic input modulates cortico-cortical coupling to limit propagation of epileptic activity from seizure onset zone to early-propagating regions. By characterizing network effects on the timescale of therapeutic stimulations, this work identifies mechanistic markers for network-informed neuromodulation, where transient EEG responses can guide nucleus selection and parameter titration. Prospective studies that link these markers to long-term seizure outcomes and stratify by thalamocortical anatomy are warranted.

Indexed as

Closed-loop neurostimulationDeep brain stimulationEpileptogenic networkResponsive neurostimulationThalamic reticular nucleusThalamocortical network

Identifiers

PMID41282745
PMCPMC12636673

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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.