Detection of Neuronal Firings in Motor Cortex of Humans under a Task of Finger-Tapping via Quantum-Sensing MRI

Motivation: Functional MRI techniques such as DIANA have been controversial in direct detection of neuronal electrical activities (firings) due to tiny difference between task vs. resting state. Quantum-sensing (qs) MRI is an emerging non-BOLD fMRI technique that has the potential for the direct detection. Goal(s): To explore whether qsMRI detects neuronal firings during a task of finger-tapping. Approach: A group of healthy subjects (age 27-84 years) was studied on a 3T MRI scanner. Results: The qsMRI was able to detect firings, with older people showing higher firing rate during tapping than resting. Impact: This positive outcome will encourage researchers to use the qsMRI in a wide range of studies on brain functions and neurological disorders including normal aging and Alzheimer's disease.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/3734
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection of Neuronal Firings in Motor Cortex of Humans under a Task of Finger-Tapping via Quantum-Sensing MRI

Arjun V. Masurkar, Yvonne W. Lui, Yulin Ge, Ying‐Chia Lin et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
EEG and Brain-Computer Interfaces
article

Detection of Neuronal Firings in Motor Cortex of Humans under a Task of Finger-Tapping via Quantum-Sensing MRI

Arjun V. Masurkar, Yvonne W. Lui, Yulin Ge, Ying‐Chia Lin, Simon Henin, Yongxian Qian, Anli Liu, Nahbila‐Malikha Kumbella, Kaitlen M. Watson, Xingye Chen, Justin Quimbo
article en

Abstract

Motivation: Functional MRI techniques such as DIANA have been controversial in direct detection of neuronal electrical activities (firings) due to tiny difference between task vs. resting state. Quantum-sensing (qs) MRI is an emerging non-BOLD fMRI technique that has the potential for the direct detection. Goal(s): To explore whether qsMRI detects neuronal firings during a task of finger-tapping. Approach: A group of healthy subjects (age 27-84 years) was studied on a 3T MRI scanner. Results: The qsMRI was able to detect firings, with older people showing higher firing rate during tapping than resting. Impact: This positive outcome will encourage researchers to use the qsMRI in a wide range of studies on brain functions and neurological disorders including normal aging and Alzheimer's disease.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 75%
EEG and Brain-Computer Interfaces
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Detection of Neuronal Firings in Motor Cortex of Humans under a Task of Finger-Tapping via Quantum-Sensing MRI — Arjun V. Masurkar, Yvonne W. Lui, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS