Evidence map›Paper›PMID 41959414›Full record

ArticlebioRxiv : the preprint server for biology2026

Thalamocortical network dynamics in focal epilepsy: SEEG investigation.

Elliot M Nester, Maya A Jayaram, Tejas Umesh, Lekha Varisa, Kris Phataraphruk Rains, Kris A Smith, Kevin Choi, Deana M Gazzola, Susan T Herman, Laura Lehnhoff and 11 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for 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

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

21 authors.

Elliot M NesterBarrow Neurological Institute, Department of Neurosurgery, Phoenix, USA.ORCID 0009-0004-7848-1753
Maya A JayaramBarrow Neurological Institute, Department of Neurosurgery, Phoenix, USA.ORCID 0000-0003-3615-0038
Tejas UmeshBarrow Neurological Institute, Department of Neurosurgery, Phoenix, USA.ORCID 0009-0000-0830-1236
Lekha VarisaBarrow Neurological Institute, Department of Neurosurgery, Phoenix, USA.ORCID 0009-0001-3955-8090
Kris Phataraphruk RainsBarrow Neurological Institute, Department of Neurosurgery, Phoenix, USA.ORCID 0009-0000-8466-1479
Kris A SmithBarrow Neurological Institute, Department of Neurosurgery, Phoenix, USA.
Kevin ChoiBarrow Neurological Institute, Department of Neurology, Phoenix, AZ, USA.ORCID 0000-0003-4282-9960
Deana M GazzolaBarrow Neurological Institute, Department of Neurology, Phoenix, AZ, USA.ORCID 0000-0003-3164-4338
Susan T HermanBarrow Neurological Institute, Department of Neurology, Phoenix, AZ, USA.ORCID 0000-0002-6556-083X
Laura LehnhoffBarrow Neurological Institute, Department of Neurology, Phoenix, AZ, USA.
Courtney SchusseBarrow Neurological Institute, Department of Neurology, Phoenix, AZ, USA.
Vladimir ShvartsBarrow Neurological Institute, Department of Neurology, Phoenix, AZ, USA.ORCID 0000-0002-0413-292X
Ritika SuriBarrow Neurological Institute, Department of Neurology, Phoenix, AZ, USA.
Yalin WangArizona State University, School of Computing and Augmented Intelligence, Tempe, AZ, USA.ORCID 0000-0002-6241-735X
Bradley GregerArizona State University, School of Biological and Health Systems Engineering, Tempe, AZ, USA.ORCID 0000-0002-6702-7596
Yuan WangUniversity of South Carolina, Department of Epidemiology and Biostatistics, Columbia, SC, USA.ORCID 0000-0001-5871-9497
Pavan TuragaArizona State University, The GAME School, Tempe, AZ, USA.ORCID 0000-0002-5263-5943
Stephen T FoldesBarrow Neurological Institute, Department of Neurology, Phoenix, AZ, USA.ORCID 0000-0002-2061-3790
David P HarrisBarrow Neurological Institute, Department of Neurology, Phoenix, AZ, USA.ORCID 0000-0001-5652-3757
T Noah HutsonBarrow Neurological Institute, Department of Neurology, Phoenix, AZ, USA.ORCID 0000-0002-8707-6838
Andrew I YangBarrow Neurological Institute, Department of Neurosurgery, Phoenix, USA.ORCID 0000-0002-8731-8745

Funding

Neurosurgeon Research Career Development Program (NRCDP)K12NS129164 · NINDS · WASHINGTON UNIVERSITY · PI Sepideh Amin-Hanjani, Emad N Eskandar · 2023 to 2026
$6.7M
NINDS NIH HHS K12 NS129164
6 · The paper itself

Abstract

Thalamic neuromodulation is clinically effective in drug-resistant epilepsy, suggesting critical contributions of the thalamus to the epileptogenic process. However, the underlying electrophysiologic mechanisms remain poorly characterized. Converging evidence implicates the thalamus in shaping large-scale functional interactions across the cortex. We hypothesized that ictal changes in thalamic activity track cortical network dynamics associated with seizure propagation. We analyzed stereo-electroencephalography recordings from 16 patients with focal epilepsy (255 seizures) with simultaneous sampling of the thalamus (anterior nucleus, N=14; pulvinar, N=11) and cortex. Cortical regions of interest included the seizure onset zone (SOZ), surrounding cortices (near-SOZ), and control regions from the contralateral hemisphere. We characterized seizure dynamics across spatial scales, from local activity within each region to network-level, inter-regional interactions. Local activity was decomposed into its periodic (oscillatory) and aperiodic components. Network interactions were characterized by directed functional connectivity computed with a multivariate method. Seizures were associated with increased broadband power (a proxy for neuronal population firing rates) and low-frequency rhythmic activity across the thalamocortical network relative to interictal baseline levels. In contrast, consistent changes in aperiodic slope (a putative marker of excitation-inhibition balance) were specific to the thalamus, which showed an early and sustained steepening (i.e., more negative slope). While local rhythms were heterogeneous across the canonical frequency bands, inter-regional interactions predominantly involved the beta band (13-30 Hz). Shortly after onset, both forward outflow from SOZ to near-SOZ and feedback inflow in the reverse direction were increased. These bidirectional effects were expressed via both a direct cortico-cortical pathway and an indirect transthalamic route, operating in parallel. These dynamics were further stratified based on seizure subtypes, leveraging the fact that there was minimal propagation of ictal activity to the near-SOZ in subclinical seizures. The ictal drop in thalamic aperiodic slope was primarily observed in clinical seizures. At the network level, whereas SOZ→near-SOZ outflow was present across seizure types, reverse feedback was particularly enhanced in clinical seizures. Multivariable regression showed that the degree of thalamic slope steepening uniquely tracked seizure-to-seizure fluctuations in the strength of near-SOZ→SOZ feedback, and further predicted seizure durations. Together these findings highlight thalamic aperiodic slope as an index of cortical network dynamics linked to seizure propagation, with potential clinical utility for further development of physiology-informed precision neuromodulation.

Indexed as

ANTdrug-resistant epilepsyepilepsy surgerynetwork dynamicspulvinarSEEGseizure propagationstereoelectroencephalographythalamus

Identifiers

PMID41959414
PMCPMC13060796

What OpenQuestion holds

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Registered trials

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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.