Evidence map›Paper›PMID 32166505›Full record

ArticleJournal of medical systems2020

Statistical Analysis to Find out the Optimal Locations for Non Invasive Brain Stimulation.

Gaurav Sharma, Shubhajit Roy Chowdhury

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Gaurav SharmaBiomedical Systems Laboratory, Multimedia, Analytics, Networks and Systems Group, School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, India. g_sharma@students.iitmandi.ac.in.
Shubhajit Roy ChowdhuryBiomedical Systems Laboratory, Multimedia, Analytics, Networks and Systems Group, School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, India.ORCID http://orcid.org/0000-0003-1878-6657
Indian Institute of Technology Mandi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-invasive brain electrical stimulation (NIBES) techniques are progressively used for modulation of neuronal membrane potentials, which alters cortical excitability. The neuronal activity depends on position of channel locations for electrodes and the amount and direction of injected weak current through the target neurons area. In the present paper hybrid near infrared spectroscopy and electroencephalogram (NIRS-EEG) open access dataset for brain computer interface (BCI) has been used to find the best locations for NIBES. The percentage oxygen saturation has been calculated with the help of provided NIRS experimental dataset of changes in concentration of oxy-hemoglobin (HbO

Indexed as

Electric StimulationAlgorithmsBrainData AnalysisDatasets as TopicElectroencephalographyHumansPilot ProjectsSpectroscopy, Near-InfraredBrain computer interfaceElectroencephalogramNear infrared spectroscopyNon-invasive brain electrical stimulationTranscranial electrical stimulation

Identifiers

PMID32166505
OpenAlexW3011429775

What OpenQuestion holds

Textmetadata
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.