Evidence map›Paper›PMID 39950178›Full record

ReviewFrontiers in psychiatry2025

Intracranial closed-loop neuromodulation as an intervention for neuropsychiatric disorders: an overview.

Jenna Langbein, Ujwal Boddeti, Weizhen Xie, Alexander Ksendzovsky

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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.

Jenna LangbeinDepartment of Neurosurgery, School of Medicine, University of Maryland, Baltimore, MD, United States.
Ujwal BoddetiDepartment of Neurosurgery, School of Medicine, University of Maryland, Baltimore, MD, United States.
Weizhen XieDepartment of Psychology, University of Maryland, College Park, MD, United States.
Alexander KsendzovskyDepartment of Neurosurgery, School of Medicine, University of Maryland, Baltimore, MD, United States.

Funding

A Neurocognitive Basis of Remembering Driven by Prior Semantic KnowledgeR00NS126492 · NINDS · UNIV OF MARYLAND, COLLEGE PARK · PI Weizhen Xie · 2024 to 2026
$714k
NINDS NIH HHS R00 NS126492
6 · The paper itself

Abstract

Recent technological advances in intracranial brain stimulation have enhanced the potential of neuromodulation for addressing neuropsychiatric disorders. We present a review of the methodology and the preliminary outcomes of the pioneering studies exploring intracranial biomarker detection and closed-loop neuromodulation to modulate high-symptom severity states in neuropsychiatric disorders. We searched PubMed, Scopus, Web of Science, Embase, and PsycINFO/PsycNet, followed by the reference and citation lists of retrieved articles. This search strategy yielded a total of 583 articles, of which 5 articles met the inclusion criteria, focusing on depression, obsessive-compulsive disorder, post-traumatic stress disorder, and binge eating disorder. We discuss the methodology of biomarker identification, the biomarkers identified, and the preliminary treatment outcomes for closed-loop neuromodulation. Successful biomarker identification hinges on investigating across various setting. Targeted neuromodulation, either directed at the biomarker or within its associated neural network, offers a promising treatment approach. Future research should seek to understand the mechanisms underlying the effects of neuromodulation as well as the long-term viability of these treatment effects across different neuropsychiatric conditions.

Indexed as

closed loop neuromodulationDBS (deep brain stimulation)neural circuitneural networkneuropsychaitric disordersRNS = responsive neurostimulation

Identifiers

PMID39950178
PMCPMC11821593

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.