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Related Experiment Video

Updated: Dec 10, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Mapping of the Language Network With Deep Learning.

Patrick Luckett¹, John J Lee², Ki Yun Park²

¹Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States.

Frontiers in Neurology

|August 28, 2020

Summary

This summary is machine-generated.

Resting-state fMRI (RS-fMRI) with 3D deep convolutional neural networks (3DCNN) accurately maps brain language networks. This method offers a more specific localization than task-based fMRI (T-fMRI), even with limited data.

Keywords:

convolutional neural network deep learning functional MRI language resting state network

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Area of Science:

Neuroimaging
Artificial Intelligence in Medicine
Brain Mapping

Background:

Task-based functional MRI (T-fMRI) is standard for pre-surgical localization of eloquent cortex before brain tumor resection.
Resting-state fMRI (RS-fMRI) is an emerging alternative for functional brain mapping.

Purpose of the Study:

To compare group-level language localization using T-fMRI versus RS-fMRI analyzed with 3D deep convolutional neural networks (3DCNN).
To evaluate the accuracy and specificity of RS-fMRI for mapping language networks in patients with brain tumors.

Main Methods:

Analysis of T-fMRI and RS-fMRI data from 35 brain tumor patients.
Mapping language networks using a 3DCNN trained on over 2,700 normal subjects.
Group-level results validated against meta-analytic T-fMRI maps from Neurosynth.

Main Results:

Both T-fMRI and RS-fMRI successfully localized major language areas (Broca's and Wernicke's).
RS-fMRI provided a more specific language network representation compared to T-fMRI.
3DCNN analysis demonstrated high accuracy and tolerance to limited RS-fMRI data.

Conclusions:

3DCNN accurately localizes the brain's language network using RS-fMRI data.
RS-fMRI analyzed with 3DCNN is a promising, specific alternative to T-fMRI for pre-surgical planning.