Evidence map›Paper›PMID 35414691›Full record

ArticleScientific reports2022

Scalp attached tangential magnetoencephalography using tunnel magneto-resistive sensors.

Akitake Kanno, Nobukazu Nakasato, Mikihiko Oogane, Kosuke Fujiwara, Takafumi Nakano, Tadashi Arimoto, Hitoshi Matsuzaki, Yasuo Ando

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
7.6field-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

8 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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  6. Review
  7. Biomagnetism: The First Sixty Years.Sensors (Basel, Switzerland) · 2023
    Review
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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

8 authors at 2 institutions in 1 country.

Akitake KannoDepartment of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Nobukazu NakasatoDepartment of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan. nkst@med.tohoku.ac.jp.
Mikihiko OoganeDepartment of Advanced Spintronics Medical Engineering, Graduate School of Engineering, Tohoku University, Sendai, Miyagi, Japan.
Kosuke FujiwaraSpin Sensing Factory Corp., Sendai, Miyagi, Japan.
Takafumi NakanoDepartment of Applied Physics, Graduate School of Engineering, Tohoku University, Sendai, Miyagi, Japan.
Tadashi ArimotoKONICA MINOLTA, INC., Tokyo, Japan.
Hitoshi MatsuzakiDepartment of Advanced Spintronics Medical Engineering, Graduate School of Engineering, Tohoku University, Sendai, Miyagi, Japan.
Yasuo AndoDepartment of Advanced Spintronics Medical Engineering, Graduate School of Engineering, Tohoku University, Sendai, Miyagi, Japan.
Tohoku University · JPKonica Minolta (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-invasive human brain functional imaging with millisecond resolution can be achieved only with magnetoencephalography (MEG) and electroencephalography (EEG). MEG has better spatial resolution than EEG because signal distortion due to inhomogeneous head conductivity is negligible in MEG but serious in EEG. However, this advantage has been practically limited by the necessary setback distances between the sensors and scalp, because the Dewar vessel containing liquid helium for superconducting quantum interference devices (SQUIDs) requires a thick vacuum wall. Latest developments of high critical temperature (high-T

Indexed as

MagnetoencephalographyScalpBrainBrain MappingElectroencephalographyHumans

Identifiers

PMID35414691
PMCPMC9005603
OpenAlexW4225374364

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.