Evidence map›Paper›PMID 28523978›Full record

ReviewInternational review of psychiatry (Abingdon, England)2017

Closed-loop neuromodulation systems: next-generation treatments for psychiatric illness.

Meng-Chen Lo, Alik S Widge

Open access · greenAbstract readReview
In one paragraph

Review in International review of psychiatry (Abingdon, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 116 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Live Spike Sorting of Large-scale Neural Recordings.bioRxiv : the preprint server for biology · 2026
    Article
  10. Review
  11. Designing Neural Dynamics: From Digital Twin Modeling to Regeneration.International journal of molecular sciences · 2025
    Review
  12. Review
  13. Review
  14. Article
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  19. Method for Synthetic Generation of LFP Data for Testing of Feature Extraction AlgorithmsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  20. 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

2 authors at 1 institution in 1 country.

Meng-Chen Loa Department of Psychiatry , Massachusetts General Hospital , Charlestown , MA , USA.
Alik S Widgea Department of Psychiatry , Massachusetts General Hospital , Charlestown , MA , USA.
Massachusetts General Hospital · US

Funding

Synchronizing a Fear Regulation Circuit By Temporally Patterned Closed-LoopNeurostimulationR21MH109722 · NIMH · UNIVERSITY OF MINNESOTA · PI WIDGE, ALIK S. · 2016 to 2017
$444k
NIMH NIH HHS R21 MH109722
6 · The paper itself

Abstract

Despite deep brain stimulation's positive early results in psychiatric disorders, well-designed clinical trials have yielded inconsistent clinical outcomes. One path to more reliable benefit is closed-loop therapy: stimulation that is automatically adjusted by a device or algorithm in response to changes in the patient's electrical brain activity. These interventions may provide more precise and patient-specific treatments. This article first introduces the available closed-loop neuromodulation platforms, which have shown clinical efficacy in epilepsy and strong early results in movement disorders. It discusses the strengths and limitations of these devices in the context of psychiatric illness. It then describes emerging technologies to address these limitations, including pre-clinical developments such as wireless deep neurostimulation and genetically targeted neuromodulation. Finally, ongoing challenges and limitations for closed-loop psychiatric brain stimulation development, most notably the difficulty of identifying meaningful biomarkers for titration, are discussed. This is considered in the recently-released Research Domain Criteria (RDoC) framework, and how neuromodulation and RDoC are jointly very well suited to address the problem of treatment-resistant illness is described.

Indexed as

FeedbackDeep Brain StimulationHumansMental DisordersbioengineeringbiomarkerDeep brain stimulationelectrophysiologyneuromodulationtransdiagnostic

Identifiers

PMID28523978
PMCPMC5461950
OpenAlexW2586345298

What OpenQuestion holds

Textmetadata
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.