Evidence map›Paper›PMID 39413730›Full record

ArticleCell reports. Medicine2024

Closed-loop neural interfaces for pain: Where do we stand?

Jing Wang, Zhe Sage Chen

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Jing WangDepartment of Anesthesiology, Perioperative Care and Pain Medicine, New York University Grossman School of Medicine, New York, NY, USA; Department of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, NY, USA; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, USA; Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, NY, USA; Interdisciplinary Pain Research Program, NYU Langone Health, New York, NY, USA. Electronic address: jing.wang2@nyulangone.org.
Zhe Sage ChenDepartment of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, NY, USA; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, USA; Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, NY, USA; Interdisciplinary Pain Research Program, NYU Langone Health, New York, NY, USA; Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA. Electronic address: zhe.chen@nyulangone.org.

Funding

Thalamocortical cognitive networks in the healthy human brainP50MH132642 · NIMH · PRINCETON UNIVERSITY · PI SABINE KASTNER · 2023 to 2026
$15.7M
Central glutamate signaling in postoperative pain regulation - Revision - 1R01GM115384 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Jing Wang · 2015 to 2026
$5.4M
Cortical information integration as a model for pain perception and behaviorRF1NS121776 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHEN, ZHE SAGE, WANG, JING · 2021 to 2021
$2.0M
CRNS: An Integrative Study of Hippocampal-Neocortical Memory Coding during Sleep R01MH118928 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHEN, ZHE SAGE, WILSON, MATTHEW A · 2018 to 2022
$1.8M
Cortical Information Integration as a Model for Pain Perception and BehaviorR01NS121776 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHEN, ZHE SAGE, WANG, JING · 2024 to 2025
$1.2M
Dissection of spatiotemporal activity from large-scale, multi-modal, multi-resolution hippocampal-neocortical recordings.RF1DA056394 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BUZSAKI, GYORGY, CHEN, ZHE SAGE · 2022 to 2022
$1.1M
NIDA NIH HHS RF1 DA056394NIGMS NIH HHS R01 GM115384NIMH NIH HHS P50 MH132642NIMH NIH HHS R01 MH118928NINDS NIH HHS R01 NS121776NINDS NIH HHS RF1 NS121776
6 · The paper itself

Abstract

Advances in closed-loop neural interfaces and neuromodulation have offered a potentially effective and non-addictive treatment for chronic pain. These interfaces link neural sensors with device outputs to provide temporally precise stimulation. We discuss challenges and trends of state-of-the-art neural interfaces for treating pain in animal models and human pilot trials.

Indexed as

Chronic PainAnimalsBrain-Computer InterfacesHumansPain Management

Identifiers

PMID39413730
PMCPMC11513823

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.