Evidence map›Paper›PMID 38662128›Full record

ArticleEpilepsia2024

Uncovering spatiotemporal dynamics of the corticothalamic network at ictal onset.

Saarang Panchavati, Atsuro Daida, Benjamin Edmonds, Makoto Miyakoshi, Shingo Oana, Samuel S Ahn, Corey Arnold, Noriko Salamon, Raman Sankar, Aria Fallah and 2 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epilepsia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Thalamocortical network dynamics in focal epilepsy: SEEG investigation.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Short-Term Modulation of Epileptic Network with Low-Frequency Thalamic Stimulation.medRxiv : the preprint server for health sciences · 2025
    Article
  5. Can brain network analyses guide epilepsy surgery?Current opinion in neurology · 2025
    Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Saarang PanchavatiDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, California, USA.
Atsuro DaidaDivision of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, California, USA.ORCID https://orcid.org/0000-0003-1350-7700
Benjamin EdmondsDivision of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-8872-6951
Makoto MiyakoshiDepartment of Psychiatry and Behavioral Neuroscience, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Shingo OanaDivision of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, California, USA.
Samuel S AhnDivision of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-1802-2043
Corey ArnoldDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, California, USA.
Noriko SalamonDepartment of Radiology, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, California, USA.
Raman SankarDivision of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, California, USA.
Aria FallahDepartment of Neurosurgery, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-9703-0964
William SpeierDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, California, USA.
Hiroki NariaiDivision of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-8318-2924
Mattel Children's Hospital · USOlive View-UCLA Medical Center · USUniversity of California, Los Angeles · USChildren’s Institute · USCincinnati Children's Hospital Medical Center · US

Funding

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
Elsie and Isaac Fogelman EndowmentNINDS NIH HHS 1K23NS128318NINDS NIH HHS K23 NS128318SENSHIN Medical Research FoundationSudha Neelakantan & Venky Harinarayan Charitable FundUCLA Children's Discovery and Innovation Institute Junior Faculty Career Development GrantUehara Memorial Foundation
6 · The paper itself

Abstract

objectiveAlthough the clinical efficacy of deep brain stimulation targeting the anterior nucleus (AN) and centromedian nucleus (CM) of the thalamus has been actively investigated for the treatment of medication-resistant epilepsy, few studies have investigated dynamic ictal changes in corticothalamic connectivity in human electroencephalographic (EEG) recording. This study aims to establish the complex spatiotemporal dynamics of the ictal corticothalamic network associated with various seizure foci.

methodsWe analyzed 10 patients (aged 2.7-28.1 years) with medication-resistant focal epilepsy who underwent stereotactic EEG evaluation with thalamic sampling. We examined both undirected and directed connectivity, incorporating coherence and spectral Granger causality analysis (GCA) between the diverse seizure foci and thalamic nuclei (AN and CM) at ictal onset.

resultsIn our analysis of 36 seizures, coherence between seizure onset and thalamic nuclei increased across all frequencies, especially in slower bands (delta, theta, alpha). GCA showed increased information flow from seizure onset to the thalamus across all frequency bands, but outflows from the thalamus were mainly in slower frequencies, particularly delta. In the subgroup analysis based on various seizure foci, the delta coherence showed a more pronounced increase at CM than at AN during frontal lobe seizures. Conversely, in limbic seizures, the delta coherence increase was greater at AN compared to CM. SIGNIFICANCE: It appears that the delta frequency plays a pivotal role in modulating the corticothalamic network during seizures. Our results underscore the significance of comprehending the spatiotemporal dynamics of the corticothalamic network at ictal onset, and this knowledge could guide personalized responsive neuromodulation treatment strategies.

Indexed as

Cerebral CortexDrug Resistant EpilepsyElectroencephalographyEpilepsies, PartialThalamusAdolescentAdultChildChild, PreschoolFemaleHumansMaleNerve NetNeural PathwaysSeizuresYoung AdultcoherenceGCAictal corticothalamic changethalamocortical network

Identifiers

PMID38662128
PMCPMC11251868
OpenAlexW4395466257

What OpenQuestion holds

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LicenceTDM
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.