Functional Magnetic Resonance Imaging: An Overview of Technical Advances and Clinical Applications

Lumeng Zhang; Xinhong Wang; Haipeng Liu

doi:10.4018/979-8-3693-3218-4.ch006

Functional Magnetic Resonance Imaging: An Overview of Technical Advances and Clinical Applications

Lumeng Zhang
, Xinhong Wang
, Haipeng Liu

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

177 Downloads (Pure)

Abstract

Functional magnetic resonance imaging (fMRI), with its unique advantages of non-invasiveness, relatively balanced spatial and temporal resolution, repeatability, and whole brain imaging, has brought methodological breakthroughs to neuroscience and neurological clinical practice. By measuring blood oxygen-dependent signals, fMRI can reveal brain activity in task execution, sensory stimulation, and emotional regulation. By comparing the brain functional activity between patients and normal controls, fMRI can detect the abnormal brain regions associated with mental illness. During the rehabilitation of stroke, traumatic brain injury, and neurodegenerative diseases, fMRI enables the evaluation of brain function recovery and guides personalized training. This chapter introduces the working principle of fMRI and summarizes the state of the art, providing references for clinicians, researchers in neuroscience, and biomedical engineers.

Original language	English
Title of host publication	AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications
Editors	Alex Khang
Publisher	IGI Global
Chapter	6
Pages	120-140
Number of pages	21
ISBN (Electronic)	9798369332191
ISBN (Print)	9798369332184
DOIs	https://doi.org/10.4018/979-8-3693-3218-4.ch006
Publication status	Published - 5 Jan 2024

Publication series

Name	AI-Driven Innovations in Digital Healthcare
Publisher	IGI Global
ISSN (Print)	2475-6628

Bibliographical note

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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LiuVoR2024Final published version, 1.19 MB

Cite this

Zhang, L., Wang, X., & Liu, H. (2024). Functional Magnetic Resonance Imaging: An Overview of Technical Advances and Clinical Applications. In A. Khang (Ed.), AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications (pp. 120-140). (AI-Driven Innovations in Digital Healthcare). IGI Global. https://doi.org/10.4018/979-8-3693-3218-4.ch006

Functional Magnetic Resonance Imaging: An Overview of Technical Advances and Clinical Applications. / Zhang, Lumeng; Wang, Xinhong; Liu, Haipeng.
AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications. ed. / Alex Khang. IGI Global, 2024. p. 120-140 (AI-Driven Innovations in Digital Healthcare).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Functional Magnetic Resonance Imaging: An Overview of Technical Advances and Clinical Applications

Abstract

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Bibliographical note

UN SDGs

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