Tumor-induced modifications of resting-state networks in patients with glioma

Motivation: Gliomas affect the whole brain causing widespread network modifications. Goal(s): This study investigated the tumor effect on multiple brain networks using resting-state functional MRI. Approach: 147 glioma patients and 200 healthy controls (HCs) were included. After pre-processing, group-independent and group information-guided component analyses were used to extract brain networks. The cosine similarity of each patient’s network was compared to HCs. Chi-squared test was used to test associations with tumor location and grade. Results: Cognitive networks are selectively vulnerable to tumor growth. Functional alterations extend beyond tumor boundaries, and increase with WHO-grade. Tumor location in known eloquent areas exerts widespread effects on brain networks. Impact: We developed a methodology to quantify tumor-induced alterations of individual brain networks. These alterations extend beyond tumor boundaries, vary with network’s function, tumor location and grade. Understanding such abnormalities is crucial for managing cognitive disabilities before and after surgery.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/3149
Primary Topic
Photoreceptor and optogenetics research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tumor-induced modifications of resting-state networks in patients with glioma

Luca Pasquini, Markus Schmid, Andrei I. Holodny, Kyung K. Peck et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Photoreceptor and optogenetics research
article

Tumor-induced modifications of resting-state networks in patients with glioma

Luca Pasquini, Markus Schmid, Andrei I. Holodny, Kyung K. Peck, Antonio Napolitano, Mehrnaz Jenabi
article en

Abstract

Motivation: Gliomas affect the whole brain causing widespread network modifications. Goal(s): This study investigated the tumor effect on multiple brain networks using resting-state functional MRI. Approach: 147 glioma patients and 200 healthy controls (HCs) were included. After pre-processing, group-independent and group information-guided component analyses were used to extract brain networks. The cosine similarity of each patient’s network was compared to HCs. Chi-squared test was used to test associations with tumor location and grade. Results: Cognitive networks are selectively vulnerable to tumor growth. Functional alterations extend beyond tumor boundaries, and increase with WHO-grade. Tumor location in known eloquent areas exerts widespread effects on brain networks. Impact: We developed a methodology to quantify tumor-induced alterations of individual brain networks. These alterations extend beyond tumor boundaries, vary with network’s function, tumor location and grade. Understanding such abnormalities is crucial for managing cognitive disabilities before and after surgery.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Quality Education
Openalex Percentile: Top 77%
Photoreceptor and optogenetics research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.