Evidence map›Paper›PMID 40807792›Full record

ReviewSensors (Basel, Switzerland)2025

Superconducting Quantum Magnetometers for Brain Investigations.

Carmela Bonavolontà, Antonio Vettoliere, Pierpaolo Sorrentino, Carmine Granata

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. 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
–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

1 citing paper in PubMed.

  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

4 authors.

Carmela BonavolontàConsiglio Nazionale delle Ricerche, Institute of Applied Sciences and Intelligent Systems, via Campi Flegrei 34, 80078 Pozzuoli, Italy.ORCID 0000-0002-2068-6906
Antonio VettoliereConsiglio Nazionale delle Ricerche, Institute of Applied Sciences and Intelligent Systems, via Campi Flegrei 34, 80078 Pozzuoli, Italy.ORCID 0000-0002-5623-9657
Pierpaolo SorrentinoConsiglio Nazionale delle Ricerche, Institute of Applied Sciences and Intelligent Systems, via Campi Flegrei 34, 80078 Pozzuoli, Italy.
Carmine GranataConsiglio Nazionale delle Ricerche, Institute of Applied Sciences and Intelligent Systems, via Campi Flegrei 34, 80078 Pozzuoli, Italy.ORCID 0000-0001-5724-0994

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review article aims to provide an overview of superconducting magnetic quantum sensors and their applications in the biomedical field, particularly in the neurological field. These quantum sensors are based on superconducting quantum interference devices (SQUIDs), the operating principles of which will be presented along with the most relevant characteristics. Emphasis will be placed on the magnetic flux and magnetic field noise, which are essential for applications, especially brain investigations requiring ultra-high magnetic field sensitivity. The main configurations of SQUID magnetometers used for highly sensitive applications will be shown, stressing their design aspects. In particular, the configurations based on the superconducting flux transformer and the multiloop will be explained. We will discuss the most critical application of SQUID magnetometers, magnetoencephalography, which measures the weak magnetic signals produced by neuronal currents. Starting from the realization of a multichannel system for magnetoencephalography, we will present an accurate comparison with recent systems using optically pumped magnetometers. Finally, we will discuss the main clinical applications of magnetoencephalography.

Indexed as

BrainMagnetoencephalographyMagnetometrySuperconductivityHumansMagnetic Fieldsdc-SQUIDJosephson junctionsmagnetic field noisemagnetoencephalographyquantum magnetometer

Identifiers

PMID40807792
PMCPMC12349212

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.