Probabilistic template matching for detecting resting-state functional MRI language network in brain tumor patients.

ABSTRACT:

Background

Intersubject variation among patients with brain tumors complicates the template matching process for detecting the resting-state (rs) functional MRI (fMRI) language network when using independent component analysis (ICA).

Purpose

This study aimed to develop methods that use a probabilistic language atlas to incorporate intersubject variation in brain tumor patients into the template matching process.

Methods

This retrospective study included 79 patients with brain tumors (average age, 50 ± 15 years) who underwent presurgical task-based (tb)-fMRI and rs-fMRI at clinical 3T scanners. At varying template generation thresholds (τ), binary and probabilistic templates were obtained from the language atlas. A binary template developed using healthy individuals an

SUBMITTER: Teo JM 

PROVIDER: S-EPMC12614290 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature