Evidence map›Paper›PMID 38162441›Full record

ReviewFrontiers in neurology2023

Ultrasonic therapies for seizures and drug-resistant epilepsy.

Carena Cornelssen, Eli Finlinson, John D Rolston, Karen S Wilcox

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Transcranial Focused Ultrasound Stimulation Targeting White Matter Inhibits Seizures in a Rat Model of Epilepsy.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
  2. 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

4 authors at 2 institutions in 1 country.

Carena CornelssenDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
Eli FinlinsonDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
John D RolstonDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
Karen S WilcoxDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
University of Utah · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasonic therapy is an increasingly promising approach for the treatment of seizures and drug-resistant epilepsy (DRE). Therapeutic focused ultrasound (FUS) uses thermal or nonthermal energy to either ablate neural tissue or modulate neural activity through high- or low-intensity FUS (HIFU, LIFU), respectively. Both HIFU and LIFU approaches have been investigated for reducing seizure activity in DRE, and additional FUS applications include disrupting the blood-brain barrier in the presence of microbubbles for targeted-drug delivery to the seizure foci. Here, we review the preclinical and clinical studies that have used FUS to treat seizures. Additionally, we review effective FUS parameters and consider limitations and future directions of FUS with respect to the treatment of DRE. While detailed studies to optimize FUS applications are ongoing, FUS has established itself as a potential noninvasive alternative for the treatment of DRE and other neurological disorders.

Indexed as

animal models of epilepsyclinical epilepsy researchdrug-resistant epilepsyfocused ultrasoundhigh-intensity focused ultrasoundlow-intensity focused ultrasoundseizurestherapeutic ultrasound

Identifiers

PMID38162441
PMCPMC10756913
OpenAlexW4389626210

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.