Evidence map›Paper›PMID 36832115›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Electrophysiology as a Tool to Decipher the Network Mechanism of Visceral Pain in Functional Gastrointestinal Disorders.

Md Jahangir Alam, Jiande D Z Chen

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 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
2.5field-weighted citation impact, top 12% 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, 9 citations in OpenAlex.

  1. Article
  2. 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.

Md Jahangir AlamDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-5579-929X
Jiande D Z ChenDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-0191-5697
University of Michigan · US

Funding

Functional Neural Circuits of Stomach-Brain InteroceptionR01AT011665 · NCCIH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHEN, JIANDE, LIU, ZHONGMING · 2021 to 2025
$2.8M
Home-based transcutaneous electrical acustimulation for abdominal painUH3NS115108 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHEN, JIANDE · 2022 to 2024
$1.9M
Electronic Bypass for DiabetesR01DK107754 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHEN, JIANDE · 2018 to 2021
$1.8M
Home-based transcutaneous electrical acustimulation for abdominal painUG3NS115108 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHEN, JIANDE · 2020 to 2020
$1.3M
NCCIH NIH HHS R01 AT011665NIDDK NIH HHS R01 DK107754NIH HHS UG3NS115108 and R01AT011665NINDS NIH HHS UG3 NS115108NINDS NIH HHS UH3 NS115108
6 · The paper itself

Abstract

Abdominal pain, including visceral pain, is prevalent in functional gastrointestinal (GI) disorders (FGIDs), affecting the overall quality of a patient's life. Neural circuits in the brain encode, store, and transfer pain information across brain regions. Ascending pain signals actively shape brain dynamics; in turn, the descending system responds to the pain through neuronal inhibition. Pain processing mechanisms in patients are currently mainly studied with neuroimaging techniques; however, these techniques have a relatively poor temporal resolution. A high temporal resolution method is warranted to decode the dynamics of the pain processing mechanisms. Here, we reviewed crucial brain regions that exhibited pain-modulatory effects in an ascending and descending manner. Moreover, we discussed a uniquely well-suited method, namely extracellular electrophysiology, that captures natural language from the brain with high spatiotemporal resolution. This approach allows parallel recording of large populations of neurons in interconnected brain areas and permits the monitoring of neuronal firing patterns and comparative characterization of the brain oscillations. In addition, we discussed the contribution of these oscillations to pain states. In summary, using innovative, state-of-the-art methods, the large-scale recordings of multiple neurons will guide us to better understanding of pain mechanisms in FGIDs.

Indexed as

extracellular recordingsfunctional gastrointestinal disorderslocal field potentialsneural oscillationsvisceral pain

Identifiers

PMID36832115
PMCPMC9955347
OpenAlexW4319597843

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.