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Updated: Jul 15, 2026

Simultaneous fMRI and Electrophysiology in the Rodent Brain
08:22

Simultaneous fMRI and Electrophysiology in the Rodent Brain

Published on: August 19, 2010

How the NPX data format handles EEG data acquired simultaneously with fMRI.

Luigi Bianchi1, Lucia Rita Quitadamo, Maria Grazia Marciani

  • 1Unità di Neurofisiopatologia, IRCCS Fondazione S. Lucia, 00179 Rome, Italy. luigi.bianchi@uniroma2.it

Magnetic Resonance Imaging
|April 25, 2007
PubMed
Summary

The NeuroPhysiological signals in eXtensible Markup Language (NPX) data format enhances simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) recordings. NPX addresses limitations in current formats, facilitating data sharing and analysis for improved neuroimaging research.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Data Science

Background:

  • Combining EEG and fMRI offers complementary temporal and spatial resolution for neuroscience research.
  • Existing EEG data formats are inadequate for modern acquisition protocols, especially simultaneous EEG-fMRI.
  • Current limitations hinder data sharing, free software development, and cross-laboratory analysis.

Purpose of the Study:

  • Introduce the NeuroPhysiological signals in eXtensible Markup Language (NPX) data format.
  • Address limitations of existing formats for simultaneous EEG-fMRI recordings.
  • Facilitate data sharing and analysis in neurophysiological research.

Main Methods:

  • Defined the NPX data format to overcome limitations of existing standards.

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Last Updated: Jul 15, 2026

Simultaneous fMRI and Electrophysiology in the Rodent Brain
08:22

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Published on: August 19, 2010

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
10:35

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

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Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
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Published on: October 20, 2023

  • Developed NPX to accommodate higher bit resolution and acquisition events.
  • Created tools based on NPX technology for data management and artifact removal.
  • Main Results:

    • NPX format supports enhanced storage of neurophysiological data, including simultaneous EEG-fMRI.
    • The format addresses challenges with event markers and protocol-specific information.
    • Freely available NPX-based tools aid in processing and artifact removal for EEG-fMRI data.

    Conclusions:

    • The NPX data format provides a robust solution for storing and managing complex neurophysiological data.
    • NPX facilitates standardized data sharing and analysis, particularly for simultaneous EEG-fMRI studies.
    • Availability of NPX tools promotes reproducible research and development of advanced analysis techniques.