Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

¹³C NMR: ¹H–¹³C Decoupling

¹³C NMR: ¹H–¹³C Decoupling

The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

ABCD-ReproNim: An educational program for responsible and reproducible analyses of ABCD data.

Developmental cognitive neuroscience·2026

Same author

Roadmap on biomaterials for women's health.

JPhys materials·2026

Same author

Surfactant Molecular Properties Control Location in Emulsion Electrospun Fibers and Dictate Resulting Fiber Properties.

Macromolecules·2026

Same author

Mandrel Diameter Is a Dominating Parameter for Fiber Alignment Control in Rotating Mandrel Electrospinning Systems.

Journal of applied polymer science·2026

Same author

Media matters: phenol red and fetal bovine serum estrogen in traditional cell culture media influence human mesenchymal stromal cell (hMSC) processes and differentiation in a sex-biased manner.

Biology of sex differences·2026

Same author

Habenula alterations in resting state functional connectivity among autistic individuals.

Biological psychiatry. Cognitive neuroscience and neuroimaging·2026

Same journal

A vendor-neutral functional MRI acquisition protocol for multi-site studies.

Aperture neuro·2026

Same journal

An open, fully-processed data resource for studying mood and sleep variability in the developing brain.

Aperture neuro·2026

Same journal

covSTATIS: a multi-table technique for network neuroscience.

Aperture neuro·2026

Same journal

BrainEffeX: A Web App for Exploring fMRI Effect Sizes.

Aperture neuro·2026

Same journal

Moderation between resting-state connectivity and brain amyloid levels on speed of cognitive and physical function in older adults: Evidence for network-based cognitive reserve.

Aperture neuro·2026

Same journal

Brain bases of real-time social interaction: A meta-analytic investigation of human neuroimaging studies.

Aperture neuro·2025

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 10, 2025

Use of a Multi-compartment Dynamic Single Enzyme Phantom for Studies of Hyperpolarized Magnetic Resonance Agents

Use of a Multi-compartment Dynamic Single Enzyme Phantom for Studies of Hyperpolarized Magnetic Resonance Agents

Published on: April 15, 2016

Denoising physiological data collected during multi-band, multi-echo EPI sequences.

Katherine L Bottenhorn^1,2, Taylor Salo^2,3, Michael C Riedel^2,4

¹Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA USA.

|August 25, 2025

Summary

This summary is machine-generated.

Physiological data collection during fMRI is prone to artifacts. This study presents digital filtering methods to mitigate these artifacts in electrocardiogram and electrodermal activity, improving fMRI data quality.

Keywords:

data preprocessing fMRI physiology psychophysiology signal processing

More Related Videos

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods

Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods

Published on: September 6, 2024

Related Experiment Videos

Last Updated: Sep 10, 2025

Use of a Multi-compartment Dynamic Single Enzyme Phantom for Studies of Hyperpolarized Magnetic Resonance Agents

Use of a Multi-compartment Dynamic Single Enzyme Phantom for Studies of Hyperpolarized Magnetic Resonance Agents

Published on: April 15, 2016

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods

Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods

Published on: September 6, 2024

Area of Science:

Neuroimaging
Physiological monitoring
Biomedical engineering

Background:

Physiological data collection during fMRI aids data cleaning and psychophysiological research.
MRI pulse sequences often introduce artifacts into physiological recordings (ECG, EDA).
Existing artifact filtering methods need adaptation for advanced fMRI sequences.

Purpose of the Study:

To evaluate BIOPAC Systems' artifact filtering recommendations for fMRI.
To extend these recommendations for multiband, multi-echo fMRI sequences.
To provide practical tools for artifact mitigation in physiological fMRI data.

Main Methods:

Assessed BIOPAC physiological data (ECG, EDA) during fMRI.
Evaluated artifact filtering for single-band, single-echo sequences.
Developed and tested digital filters for multiband, multi-echo sequences, incorporating slice timing, multiband factor, and repetition time.

Main Results:

Artifact magnitude and frequency vary with fMRI pulse sequence parameters.
Digital filters effectively mitigate MRI pulse sequence artifacts in physiological data.
The proposed filtering approach is applicable to various fMRI sequence types.

Conclusions:

Artifacts in physiological fMRI data can be successfully mitigated using tailored digital filters.
The developed methods improve the quality of physiological recordings for fMRI.
Open-source tools and notebooks facilitate the implementation of these denoising techniques.