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Related Experiment Video

Updated: Oct 6, 2025

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

A protocol for working with open-source neuroimaging datasets.

Corey Horien^1,2, Kangjoo Lee³, Margaret L Westwater³

¹Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06510, USA.

|January 17, 2022

Summary

This summary is machine-generated.

This protocol simplifies using large neuroimaging datasets by detailing data search, organization, analysis, and sharing. It aims to make complex neuroimaging data more accessible for researchers.

Keywords:

Behavior Bioinformatics Cognitive Neuroscience Neuroscience

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Last Updated: Oct 6, 2025

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Published on: March 21, 2019

Area of Science:

Neuroscience
Data Science

Background:

Large, open-source neuroimaging datasets are increasingly available.
Challenges include processing tool knowledge and data organization.

Purpose of the Study:

To provide a protocol for navigating neuroimaging data challenges.
To facilitate the use of publicly available neuroimaging datasets.

Main Methods:

Protocol for searching and downloading open-source neuroimaging data.
Guidelines for data management and analysis.
Instructions for sharing data and results on public repositories.

Main Results:

A comprehensive protocol to address barriers in neuroimaging data utilization.
Standardized steps for data acquisition, management, analysis, and sharing.

Conclusions:

This protocol aims to lower barriers for researchers using large neuroimaging datasets.
Promotes efficient data handling and sharing in the neuroscience community.